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| a | b/DataAugmentation/imgaug.ipynb | ||
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| 1 | { |
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| 2 | "cells": [ |
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| 3 | { |
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| 4 | "cell_type": "heading", |
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| 5 | "metadata": { |
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| 6 | "collapsed": false |
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| 7 | }, |
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| 8 | "level": 1, |
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| 9 | "source": [ |
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| 10 | "The Notebook for Defect Detection Image Augumentation" |
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| 11 | ] |
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| 12 | }, |
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| 13 | { |
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| 14 | "cell_type": "heading", |
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| 15 | "metadata": {}, |
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| 16 | "level": 2, |
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| 17 | "source": [ |
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| 18 | "Path" |
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| 19 | ] |
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| 20 | }, |
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| 21 | { |
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| 22 | "cell_type": "code", |
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| 23 | "execution_count": null, |
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| 24 | "metadata": {}, |
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| 25 | "outputs": [], |
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| 26 | "source": [ |
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| 27 | "dataPath = \".Data_postiveOnly\"" |
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| 28 | ] |
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| 29 | }, |
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| 30 | { |
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| 31 | "cell_type": "heading", |
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| 32 | "metadata": {}, |
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| 33 | "level": 2, |
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| 34 | "source": [ |
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| 35 | "Import" |
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| 36 | ] |
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| 37 | }, |
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| 38 | { |
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| 39 | "cell_type": "code", |
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| 40 | "execution_count": null, |
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| 41 | "metadata": {}, |
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| 42 | "outputs": [], |
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| 43 | "source": [ |
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| 44 | "import imgaug as ia\n", |
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| 45 | "from imgaug import augmenters as iaa\n", |
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| 46 | "import skimage.io\n", |
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| 47 | "import errno\n", |
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| 48 | "import numpy as np\n", |
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| 49 | "import skimage.color as color\n", |
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| 50 | "import matplotlib.pyplot as plt\n", |
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| 51 | "import numpy as np\n", |
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| 52 | "import os\n", |
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| 53 | "from skimage.color import gray2rgb" |
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| 54 | ] |
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| 55 | }, |
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| 56 | { |
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| 57 | "cell_type": "heading", |
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| 58 | "metadata": {}, |
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| 59 | "level": 2, |
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| 60 | "source": [ |
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| 61 | "Helper Functions" |
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| 62 | ] |
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| 63 | }, |
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| 64 | { |
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| 65 | "cell_type": "code", |
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| 66 | "execution_count": null, |
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| 67 | "metadata": {}, |
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| 68 | "outputs": [], |
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| 69 | "source": [ |
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| 70 | "def bboxSetupInImage(datapath,txtFile,img):\n", |
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| 71 | " \"\"\"\n", |
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| 72 | " This is the function that reads in the bounding box files and then using imgaug to set up the bounding box on images\n", |
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| 73 | " \n", |
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| 74 | " :param txtFile: the txt file that store bounding box information \n", |
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| 75 | " :param img: the image file variable to represent the img to be plotted bounding box on it \n", |
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| 76 | " :return bbs: the image with bounding box in it\n", |
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| 77 | " \"\"\"\n", |
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| 78 | " with open( datapath + 'bounding_boxes/' + txtFile,'r') as f:\n", |
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| 79 | " content = [line.rstrip('\\n') for line in f]\n", |
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| 80 | " iaBBoxList = []\n", |
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| 81 | " for bbline in content:\n", |
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| 82 | " bbox = bbline.strip().split()\n", |
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| 83 | " #print(bbox[1])\n", |
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| 84 | " if len(bbox) == 5:\n", |
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| 85 | " iaBBoxList.append(ia.BoundingBox(\n", |
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| 86 | " x1=float(bbox[2]), \n", |
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| 87 | " y1=float(bbox[1]), \n", |
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| 88 | " x2=float(bbox[4]), \n", |
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| 89 | " y2=float(bbox[3]),\n", |
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| 90 | " label = bbox[0]))\n", |
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| 91 | " bbs = ia.BoundingBoxesOnImage(iaBBoxList, shape=img.shape)\n", |
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| 92 | " return bbs" |
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| 93 | ] |
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| 94 | }, |
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| 95 | { |
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| 96 | "cell_type": "code", |
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| 97 | "execution_count": 27, |
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| 98 | "metadata": {}, |
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| 99 | "outputs": [], |
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| 100 | "source": [ |
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| 101 | "def saveAugbbox2TXT(txtFile,bbs):\n", |
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| 102 | " \"\"\"\n", |
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| 103 | " This is the function that save the augmented bounding box files into ChainerCV bbox format\n", |
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| 104 | " \n", |
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| 105 | " :param txtFile: the txt file that want to save\n", |
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| 106 | " :param bbs: bounding box lists \n", |
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| 107 | " \"\"\"\n", |
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| 108 | " with open('' + txtFile,'w') as f:\n", |
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| 109 | " for i in range(len(bbs.bounding_boxes)):\n", |
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| 110 | " bb = bbs_aug.bounding_boxes[i]\n", |
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| 111 | " # print(\"%s %.2f %.2f %.2f %.2f\"%(bb.label,bb.y1,bb.x1,bb.y2,bb.x2))\n", |
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| 112 | " f.write(\"%s %.2f %.2f %.2f %.2f\\n\"%(bb.label,bb.y1,bb.x1,bb.y2,bb.x2))" |
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| 113 | ] |
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| 114 | }, |
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| 115 | { |
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| 116 | "cell_type": "code", |
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| 117 | "execution_count": 28, |
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| 118 | "metadata": {}, |
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| 119 | "outputs": [], |
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| 120 | "source": [ |
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| 121 | "def getImageList(imageTXT):\n", |
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| 122 | " \"\"\"\n", |
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| 123 | " Function to loop the testing images for test\n", |
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| 124 | " :param imageTXT: the txt that stores the \n", |
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| 125 | " :return: imageFileList: the list contains all the original test image list\n", |
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| 126 | " \"\"\"\n", |
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| 127 | " imageFileList = list()\n", |
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| 128 | " with open(imageTXT,'r') as f:\n", |
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| 129 | " lines = f.readlines()\n", |
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| 130 | " for line in lines:\n", |
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| 131 | " imageFileList.append(line.strip())\n", |
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| 132 | " return imageFileList" |
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| 133 | ] |
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| 134 | }, |
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| 135 | { |
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| 136 | "cell_type": "code", |
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| 137 | "execution_count": 29, |
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| 138 | "metadata": {}, |
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| 139 | "outputs": [], |
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| 140 | "source": [ |
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| 141 | "def createFolder(folderName):\n", |
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| 142 | " \"\"\"\n", |
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| 143 | " Safely create folder when needed\n", |
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| 144 | " \n", |
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| 145 | " :param folderName : the directory that you want to safely create\n", |
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| 146 | " :return: None\n", |
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| 147 | " \"\"\"\n", |
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| 148 | " if not os.path.exists(folderName):\n", |
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| 149 | " try:\n", |
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| 150 | " os.makedirs(folderName)\n", |
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| 151 | " except OSError as exc: # Guard against race condition\n", |
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| 152 | " if exc.errno != errno.EEXIST:\n", |
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| 153 | " raise" |
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| 154 | ] |
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| 155 | }, |
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| 156 | { |
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| 157 | "cell_type": "heading", |
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| 158 | "metadata": {}, |
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| 159 | "level": 2, |
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| 160 | "source": [ |
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| 161 | "Gaussian Noise" |
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| 162 | ] |
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| 163 | }, |
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| 164 | { |
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| 165 | "cell_type": "code", |
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| 166 | "execution_count": 30, |
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| 167 | "metadata": { |
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| 168 | "collapsed": true |
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| 169 | }, |
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| 170 | "outputs": [ |
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| 171 | { |
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| 172 | "name": "stdout", |
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| 173 | "output_type": "stream", |
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| 174 | "text": [ |
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| 175 | "0501_300kx_1nm_clhaadf3_0006.jpg\n" |
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| 176 | ] |
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| 177 | }, |
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| 178 | { |
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| 179 | "name": "stdout", |
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| 180 | "output_type": "stream", |
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| 181 | "text": [ |
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| 182 | "0501_300kx_1nm_clhaadf3_0008.jpg\n" |
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| 183 | ] |
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| 184 | }, |
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| 185 | { |
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| 186 | "name": "stdout", |
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| 187 | "output_type": "stream", |
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| 188 | "text": [ |
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| 189 | "0501_300kx_1nm_clhaadf3_0012.jpg\n" |
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| 190 | ] |
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| 191 | }, |
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| 192 | { |
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| 193 | "name": "stdout", |
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| 194 | "output_type": "stream", |
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| 195 | "text": [ |
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| 196 | "0501_300kx_1nm_clhaadf3_0016.jpg\n0501_300kx_1nm_clhaadf3_0018.jpg\n" |
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| 197 | ] |
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| 198 | }, |
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| 199 | { |
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| 200 | "name": "stdout", |
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| 201 | "output_type": "stream", |
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| 202 | "text": [ |
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| 203 | "0501_300kx_1nm_clhaadf3_0020.jpg\n0501_300kx_1nm_clhaadf3_0022.jpg\n" |
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| 204 | ] |
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| 205 | }, |
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| 206 | { |
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| 207 | "name": "stdout", |
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| 208 | "output_type": "stream", |
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| 209 | "text": [ |
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| 210 | "0501_300kx_1nm_clhaadf3_0024.jpg\n0501_300kx_1nm_clhaadf3_0026.jpg\n" |
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| 211 | ] |
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| 212 | }, |
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| 213 | { |
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| 214 | "name": "stdout", |
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| 215 | "output_type": "stream", |
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| 216 | "text": [ |
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| 217 | "0501_300kx_1nm_clhaadf3_0030.jpg\n0501_300kx_1nm_clhaadf3_0031.jpg\n" |
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| 218 | ] |
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| 219 | }, |
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| 220 | { |
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| 221 | "name": "stdout", |
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| 222 | "output_type": "stream", |
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| 223 | "text": [ |
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| 224 | "0501_300kx_1nm_clhaadf3_0034.jpg\n0501_300kx_1nm_clhaadf3_0036.jpg\n" |
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| 225 | ] |
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| 226 | }, |
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| 227 | { |
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| 228 | "name": "stdout", |
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| 229 | "output_type": "stream", |
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| 230 | "text": [ |
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| 231 | "0501_300kx_1nm_clhaadf3_0040.jpg\n0501_300kx_1nm_clhaadf3_0044.jpg\n" |
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| 232 | ] |
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| 233 | }, |
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| 234 | { |
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| 235 | "name": "stdout", |
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| 236 | "output_type": "stream", |
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| 237 | "text": [ |
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| 238 | "0501_300kx_1nm_clhaadf3_0046.jpg\n0501_300kx_1nm_clhaadf3_0048.jpg\n" |
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| 239 | ] |
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| 240 | }, |
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| 241 | { |
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| 242 | "name": "stdout", |
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| 243 | "output_type": "stream", |
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| 244 | "text": [ |
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| 245 | "0501_300kx_1nm_clhaadf3_0050.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0002.jpg\n" |
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| 246 | ] |
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| 247 | }, |
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| 248 | { |
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| 249 | "name": "stdout", |
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| 250 | "output_type": "stream", |
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| 251 | "text": [ |
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| 252 | "200kV_500kx_p2nm_8cmCL_grain1_0002_n.jpg\n" |
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| 253 | ] |
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| 254 | }, |
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| 255 | { |
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| 256 | "name": "stdout", |
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| 257 | "output_type": "stream", |
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| 258 | "text": [ |
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| 259 | "200kV_500kx_p2nm_8cmCL_grain1_0004_n.jpg\n" |
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| 260 | ] |
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| 261 | }, |
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| 262 | { |
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| 263 | "name": "stdout", |
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| 264 | "output_type": "stream", |
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| 265 | "text": [ |
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| 266 | "200kV_500kx_p2nm_8cmCL_grain1_0048 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0050 - Copy.jpg\n" |
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| 267 | ] |
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| 268 | }, |
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| 269 | { |
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| 270 | "name": "stdout", |
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| 271 | "output_type": "stream", |
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| 272 | "text": [ |
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| 273 | "200kV_500kx_p2nm_8cmCL_grain1_0052 - Copy.jpg\n" |
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| 274 | ] |
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| 275 | }, |
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| 276 | { |
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| 277 | "name": "stdout", |
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| 278 | "output_type": "stream", |
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| 279 | "text": [ |
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| 280 | "200kV_500kx_p2nm_8cmCL_grain1_0054 - Copy.jpg\n" |
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| 281 | ] |
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| 282 | }, |
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| 283 | { |
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| 284 | "name": "stdout", |
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| 285 | "output_type": "stream", |
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| 286 | "text": [ |
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| 287 | "200kV_500kx_p2nm_8cmCL_grain1_0058 - Copy.jpg\n" |
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| 288 | ] |
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| 289 | }, |
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| 290 | { |
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| 291 | "name": "stdout", |
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| 292 | "output_type": "stream", |
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| 293 | "text": [ |
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| 294 | "200kV_500kx_p2nm_8cmCL_grain1_0060 - Copy.jpg\n" |
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| 295 | ] |
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| 296 | }, |
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| 297 | { |
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| 298 | "name": "stdout", |
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| 299 | "output_type": "stream", |
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| 300 | "text": [ |
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| 301 | "200kV_500kx_p2nm_8cmCL_grain1_0062 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0064 - Copy.jpg\n" |
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| 302 | ] |
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| 303 | }, |
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| 304 | { |
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| 305 | "name": "stdout", |
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| 306 | "output_type": "stream", |
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| 307 | "text": [ |
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| 308 | "200kV_500kx_p2nm_8cmCL_grain1_0066 - Copy.jpg\n" |
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| 309 | ] |
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| 310 | }, |
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| 311 | { |
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| 312 | "name": "stdout", |
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| 313 | "output_type": "stream", |
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| 314 | "text": [ |
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| 315 | "200kV_500kx_p2nm_8cmCL_grain1_0068 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0070 - Copy.jpg\n" |
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| 316 | ] |
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| 317 | }, |
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| 318 | { |
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| 319 | "name": "stdout", |
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| 320 | "output_type": "stream", |
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| 321 | "text": [ |
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| 322 | "200kV_500kx_p2nm_8cmCL_grain1_0072 - Copy.jpg\n" |
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| 323 | ] |
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| 324 | }, |
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| 325 | { |
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| 326 | "name": "stdout", |
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| 327 | "output_type": "stream", |
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| 328 | "text": [ |
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| 329 | "200kV_500kx_p2nm_8cmCL_grain1_0074 - Copy.jpg\n" |
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| 330 | ] |
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| 331 | }, |
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| 332 | { |
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| 333 | "name": "stdout", |
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| 334 | "output_type": "stream", |
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| 335 | "text": [ |
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| 336 | "200kV_500kx_p2nm_8cmCL_grain1_0076 - Copy.jpg\n" |
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| 337 | ] |
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| 338 | }, |
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| 339 | { |
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| 340 | "name": "stdout", |
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| 341 | "output_type": "stream", |
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| 342 | "text": [ |
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| 343 | "200kV_500kx_p2nm_8cmCL_grain1_0078 - Copy.jpg\n" |
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| 344 | ] |
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| 345 | }, |
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| 346 | { |
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| 347 | "name": "stdout", |
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| 348 | "output_type": "stream", |
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| 349 | "text": [ |
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| 350 | "200kV_500kx_p2nm_8cmCL_grain1_0080 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0084 - Copy.jpg\n" |
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| 351 | ] |
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| 352 | }, |
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| 353 | { |
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| 354 | "name": "stdout", |
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| 355 | "output_type": "stream", |
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| 356 | "text": [ |
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| 357 | "200kV_500kx_p2nm_8cmCL_grain1_0086 - Copy.jpg\n" |
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| 358 | ] |
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| 359 | }, |
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| 360 | { |
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| 361 | "name": "stdout", |
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| 362 | "output_type": "stream", |
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| 363 | "text": [ |
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| 364 | "200kV_500kx_p2nm_8cmCL_grain1_0090 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0092 - Copy.jpg\n" |
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| 365 | ] |
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| 366 | }, |
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| 367 | { |
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| 368 | "name": "stdout", |
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| 369 | "output_type": "stream", |
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| 370 | "text": [ |
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| 371 | "200kV_500kx_p2nm_8cmCL_grain1_0109.jpg\n" |
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| 372 | ] |
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| 373 | }, |
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| 374 | { |
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| 375 | "name": "stdout", |
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| 376 | "output_type": "stream", |
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| 377 | "text": [ |
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| 378 | "200kV_500kx_p2nm_8cmCL_grain1_0111.jpg\n" |
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| 379 | ] |
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| 380 | }, |
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| 381 | { |
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| 382 | "name": "stdout", |
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| 383 | "output_type": "stream", |
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| 384 | "text": [ |
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| 385 | "200kV_500kx_p2nm_8cmCL_grain1_0129.jpg\n" |
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| 386 | ] |
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| 387 | }, |
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| 388 | { |
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| 389 | "name": "stdout", |
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| 390 | "output_type": "stream", |
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| 391 | "text": [ |
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| 392 | "200kV_500kx_p2nm_8cmCL_grain2_0010.jpg\n200kV_500kx_p2nm_8cmCL_grain2_0012.jpg\n" |
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| 393 | ] |
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| 394 | }, |
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| 395 | { |
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| 396 | "name": "stdout", |
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| 397 | "output_type": "stream", |
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| 398 | "text": [ |
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| 399 | "200kV_500kx_p2nm_8cmCL_grain3_4_0258.jpg\n" |
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| 400 | ] |
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| 401 | }, |
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| 402 | { |
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| 403 | "name": "stdout", |
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| 404 | "output_type": "stream", |
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| 405 | "text": [ |
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| 406 | "2501_300kx_1nm_clhaadf3_0032.jpg\n2501_300kx_1nm_clhaadf3_0034.jpg\n" |
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| 407 | ] |
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| 408 | }, |
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| 409 | { |
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| 410 | "name": "stdout", |
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| 411 | "output_type": "stream", |
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| 412 | "text": [ |
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| 413 | "2501_300kx_1nm_clhaadf3_0036.jpg\n" |
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| 414 | ] |
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| 415 | }, |
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| 416 | { |
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| 417 | "name": "stdout", |
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| 418 | "output_type": "stream", |
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| 419 | "text": [ |
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| 420 | "2501_300kx_1nm_clhaadf3_0038.jpg\n2501_300kx_1nm_clhaadf3_0040.jpg\n" |
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| 421 | ] |
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| 422 | }, |
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| 423 | { |
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| 424 | "name": "stdout", |
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| 425 | "output_type": "stream", |
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| 426 | "text": [ |
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| 427 | "2501_300kx_1nm_clhaadf3_0042.jpg\n2501_300kx_1nm_clhaadf3_0044.jpg\n" |
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| 428 | ] |
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| 429 | }, |
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| 430 | { |
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| 431 | "name": "stdout", |
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| 432 | "output_type": "stream", |
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| 433 | "text": [ |
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| 434 | "2501_300kx_1nm_clhaadf3_0046.jpg\n2501_300kx_1nm_clhaadf3_0048.jpg\n" |
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| 435 | ] |
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| 436 | }, |
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| 437 | { |
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| 438 | "name": "stdout", |
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| 439 | "output_type": "stream", |
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| 440 | "text": [ |
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| 441 | "2501_300kx_1nm_clhaadf3_0050.jpg\n" |
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| 442 | ] |
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| 443 | }, |
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| 444 | { |
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| 445 | "name": "stdout", |
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| 446 | "output_type": "stream", |
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| 447 | "text": [ |
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| 448 | "2501_300kx_1nm_clhaadf3_0052.jpg\n2501_300kx_1nm_clhaadf3_0054.jpg\n" |
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| 449 | ] |
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| 450 | }, |
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| 451 | { |
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| 452 | "name": "stdout", |
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| 453 | "output_type": "stream", |
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| 454 | "text": [ |
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| 455 | "2ROI_100kx_4100CL_foil1.jpg\n" |
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| 456 | ] |
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| 457 | }, |
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| 458 | { |
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| 459 | "name": "stdout", |
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| 460 | "output_type": "stream", |
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| 461 | "text": [ |
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| 462 | "3ROI_100kx_4100CL_foil1.jpg\n4ROI_100kx_4100CL_foil1.jpg\n" |
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| 463 | ] |
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| 464 | }, |
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| 465 | { |
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| 466 | "name": "stdout", |
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| 467 | "output_type": "stream", |
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| 468 | "text": [ |
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| 469 | "5401_300kx_1nm_clhaadf3_0004.jpg\n5401_300kx_1nm_clhaadf3_0006.jpg\n" |
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| 470 | ] |
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| 471 | }, |
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| 472 | { |
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| 473 | "name": "stdout", |
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| 984 | "name": "stdout", |
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| 985 | "output_type": "stream", |
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| 986 | "text": [ |
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| 987 | "grid1_roi2_500kx_0p5nm_haadf1_0067.jpg\n" |
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| 988 | ] |
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| 989 | }, |
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| 990 | { |
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| 991 | "name": "stdout", |
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| 992 | "output_type": "stream", |
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| 993 | "text": [ |
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| 994 | "grid1_roi2_500kx_0p5nm_haadf1_0069.jpg\n" |
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| 995 | ] |
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| 996 | }, |
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| 997 | { |
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| 998 | "name": "stdout", |
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| 999 | "output_type": "stream", |
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| 1000 | "text": [ |
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| 1001 | "BF X500K, 05 (3).jpg\n" |
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| 1002 | ] |
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| 1003 | }, |
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| 1004 | { |
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| 1005 | "name": "stdout", |
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| 1006 | "output_type": "stream", |
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| 1007 | "text": [ |
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| 1008 | "0501_300kx_1nm_clhaadf3_0038.jpg\n" |
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| 1009 | ] |
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| 1010 | } |
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| 1011 | ], |
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| 1012 | "source": [ |
||
| 1013 | "\n", |
||
| 1014 | "##################################################\n", |
||
| 1015 | "# 1. Define data augmentation operations\n", |
||
| 1016 | "##################################################\n", |
||
| 1017 | "\n", |
||
| 1018 | "trainImageTxtFile = dataPath + \"trainimages.txt\"\n", |
||
| 1019 | "imageList = getImageList(trainImageTxtFile)\n", |
||
| 1020 | "\n", |
||
| 1021 | "current_operation = \"GaussianNoise\"\n", |
||
| 1022 | "\n", |
||
| 1023 | "# Add gaussian noise.\n", |
||
| 1024 | "# For 50% of all images, we sample the noise once per pixel.\n", |
||
| 1025 | "# For the other 50% of all images, we sample the noise per pixel AND\n", |
||
| 1026 | "# channel. This can change the color (not only brightness) of the\n", |
||
| 1027 | "# pixels.\n", |
||
| 1028 | " \n", |
||
| 1029 | "from imgaug import augmenters as iaa\n", |
||
| 1030 | "ia.seed(1)\n", |
||
| 1031 | "seq = iaa.Sequential([\n", |
||
| 1032 | " iaa.AdditiveGaussianNoise(loc=0, \n", |
||
| 1033 | " scale=(0.0, 0.05*255), \n", |
||
| 1034 | " per_channel=0.5)\n", |
||
| 1035 | "])\n", |
||
| 1036 | "\n", |
||
| 1037 | "# seq = iaa.Sequential([ \n", |
||
| 1038 | "# # Adjust contrast by scaling each pixel value to (I_ij/255.0)**gamma.\n", |
||
| 1039 | "# # Values in the range gamma=(0.5, 2.0) seem to be sensible.\n", |
||
| 1040 | "# iaa.GammaContrast((0.5, 1.5))\n", |
||
| 1041 | "# ])\n", |
||
| 1042 | "\n", |
||
| 1043 | "# Make our sequence deterministic.\n", |
||
| 1044 | "# We can now apply it to the image and then to the BBs and it will\n", |
||
| 1045 | "# lead to the same augmentations.\n", |
||
| 1046 | "# IMPORTANT: Call this once PER BATCH, otherwise you will always get the exactly same augmentations for every batch!\n", |
||
| 1047 | "seq_det = seq.to_deterministic()\n", |
||
| 1048 | "\n", |
||
| 1049 | "##################################################\n", |
||
| 1050 | "# 2. loop through images\n", |
||
| 1051 | "##################################################\n", |
||
| 1052 | "\n", |
||
| 1053 | "for img in imageList:\n", |
||
| 1054 | " print(img)\n", |
||
| 1055 | " # Grayscale images must have shape (height, width, 1) each.\n", |
||
| 1056 | " #print(os.listdir(dataPath+'images/'))\n", |
||
| 1057 | " currentimage = skimage.io.imread(dataPath+'images/'+img).astype(np.uint8)\n", |
||
| 1058 | " # gray2rgb() simply duplicates the gray values over the three color channels.\n", |
||
| 1059 | " currentimage = color.gray2rgb(currentimage)\n", |
||
| 1060 | " bbs = bboxSetupInImage(dataPath , img.rstrip('.jpg') + '.txt',currentimage)\n", |
||
| 1061 | " # Augment BBs and images.\n", |
||
| 1062 | " # As we only have one image and list of BBs, we use\n", |
||
| 1063 | " # [image] and [bbs] to turn both into lists (batches) for the# functions and then [0] to reverse that. In a real experiment, your\n", |
||
| 1064 | " # variables would likely already be lists.\n", |
||
| 1065 | " image_aug = seq_det.augment_images([currentimage])[0]\n", |
||
| 1066 | " bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]\n", |
||
| 1067 | " augImgFolder = current_operation + \"Images\"\n", |
||
| 1068 | " augTxTFolder = current_operation + \"TXT\"\n", |
||
| 1069 | " createFolder(augImgFolder)\n", |
||
| 1070 | " createFolder(augTxTFolder)\n", |
||
| 1071 | " # Save aug images and bboxes\n", |
||
| 1072 | " skimage.io.imsave(augImgFolder + '/'+\n", |
||
| 1073 | " img.rstrip('.jpg') + \n", |
||
| 1074 | " '_' + current_operation +\n", |
||
| 1075 | " '.jpg'\n", |
||
| 1076 | " ,image_aug)\n", |
||
| 1077 | " saveAugbbox2TXT(augTxTFolder+ '/'+ \n", |
||
| 1078 | " img.rstrip('.jpg') + \n", |
||
| 1079 | " '_'+ current_operation +\n", |
||
| 1080 | " '.txt',bbs_aug)\n", |
||
| 1081 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 1082 | " # image_before = bbs.draw_on_image(currentimage, thickness=2)\n", |
||
| 1083 | " # image_after = bbs_aug.draw_on_image(image_aug, \n", |
||
| 1084 | " # thickness=2, color=[0, 0, 255])\n", |
||
| 1085 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 1086 | " # plot and save figures before and after data augmentations\n", |
||
| 1087 | " #skimage.io.imshow(image_before)\n", |
||
| 1088 | " #skimage.io.imshow(image_after)\n", |
||
| 1089 | " # for i in range(len(bbs.bounding_boxes)):\n", |
||
| 1090 | " # before = bbs.bounding_boxes[i]\n", |
||
| 1091 | " # after = bbs_aug.bounding_boxes[i]\n", |
||
| 1092 | " # print(\"BB %d: (%.4f, %.4f, %.4f, %.4f) -> (%.4f, %.4f, %.4f, %.4f)\" % (\n", |
||
| 1093 | " # i,\n", |
||
| 1094 | " # before.x1, before.y1, before.x2, before.y2,\n", |
||
| 1095 | " # after.x1, after.y1, after.x2, after.y2)\n", |
||
| 1096 | " # )" |
||
| 1097 | ] |
||
| 1098 | }, |
||
| 1099 | { |
||
| 1100 | "cell_type": "heading", |
||
| 1101 | "metadata": {}, |
||
| 1102 | "level": 1, |
||
| 1103 | "source": [ |
||
| 1104 | "GaussianBlur" |
||
| 1105 | ] |
||
| 1106 | }, |
||
| 1107 | { |
||
| 1108 | "cell_type": "code", |
||
| 1109 | "execution_count": 31, |
||
| 1110 | "metadata": {}, |
||
| 1111 | "outputs": [ |
||
| 1112 | { |
||
| 1113 | "name": "stdout", |
||
| 1114 | "output_type": "stream", |
||
| 1115 | "text": [ |
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| 1116 | "0501_300kx_1nm_clhaadf3_0006.jpg\n" |
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| 1117 | ] |
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| 1118 | }, |
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| 1119 | { |
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| 1120 | "name": "stdout", |
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| 1121 | "output_type": "stream", |
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| 1122 | "text": [ |
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| 1123 | "0501_300kx_1nm_clhaadf3_0008.jpg\n" |
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| 1124 | ] |
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| 1125 | }, |
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| 1126 | { |
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| 1127 | "name": "stdout", |
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| 1128 | "output_type": "stream", |
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| 1129 | "text": [ |
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| 1130 | "0501_300kx_1nm_clhaadf3_0012.jpg\n" |
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| 1131 | ] |
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| 1132 | }, |
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| 1133 | { |
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| 1134 | "name": "stdout", |
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| 1135 | "output_type": "stream", |
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| 1136 | "text": [ |
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| 1137 | "0501_300kx_1nm_clhaadf3_0016.jpg\n" |
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| 1138 | ] |
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| 1139 | }, |
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| 1140 | { |
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| 1141 | "name": "stdout", |
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| 1142 | "output_type": "stream", |
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| 1143 | "text": [ |
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| 1144 | "0501_300kx_1nm_clhaadf3_0018.jpg\n" |
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| 1145 | ] |
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| 1146 | }, |
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| 1147 | { |
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| 1148 | "name": "stdout", |
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| 1149 | "output_type": "stream", |
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| 1150 | "text": [ |
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| 1151 | "0501_300kx_1nm_clhaadf3_0020.jpg\n" |
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| 1152 | ] |
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| 1153 | }, |
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| 1154 | { |
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| 1155 | "name": "stdout", |
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| 1156 | "output_type": "stream", |
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| 1157 | "text": [ |
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| 1158 | "0501_300kx_1nm_clhaadf3_0022.jpg\n" |
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| 1160 | }, |
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| 1161 | { |
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| 1162 | "name": "stdout", |
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| 1163 | "output_type": "stream", |
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| 1164 | "text": [ |
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| 1165 | "0501_300kx_1nm_clhaadf3_0024.jpg\n" |
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| 1167 | }, |
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| 1168 | { |
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| 1169 | "name": "stdout", |
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| 1170 | "output_type": "stream", |
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| 1172 | "0501_300kx_1nm_clhaadf3_0026.jpg\n" |
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| 1175 | { |
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| 1176 | "name": "stdout", |
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| 1179 | "0501_300kx_1nm_clhaadf3_0030.jpg\n" |
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| 1183 | "name": "stdout", |
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| 1200 | "0501_300kx_1nm_clhaadf3_0036.jpg\n" |
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| 1302 | "name": "stdout", |
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| 1303 | "output_type": "stream", |
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| 1317 | "output_type": "stream", |
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| 1330 | "name": "stdout", |
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| 1331 | "output_type": "stream", |
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| 1332 | "text": [ |
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| 1333 | "200kV_500kx_p2nm_8cmCL_grain1_0070 - Copy.jpg\n" |
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| 1337 | "name": "stdout", |
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| 1338 | "output_type": "stream", |
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| 1339 | "text": [ |
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| 1340 | "200kV_500kx_p2nm_8cmCL_grain1_0072 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0074 - Copy.jpg\n" |
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| 1341 | ] |
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| 1343 | { |
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| 1345 | "output_type": "stream", |
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| 1347 | "200kV_500kx_p2nm_8cmCL_grain1_0076 - Copy.jpg\n" |
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| 1350 | { |
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| 1352 | "output_type": "stream", |
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| 1359 | "output_type": "stream", |
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| 1360 | "text": [ |
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| 1364 | { |
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| 1365 | "name": "stdout", |
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| 1366 | "output_type": "stream", |
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| 1367 | "text": [ |
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| 1373 | "output_type": "stream", |
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| 1375 | "200kV_500kx_p2nm_8cmCL_grain1_0086 - Copy.jpg\n" |
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| 1380 | "output_type": "stream", |
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| 1400 | "name": "stdout", |
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| 2065 | "name": "stdout", |
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| 2071 | { |
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| 2072 | "name": "stdout", |
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| 2073 | "output_type": "stream", |
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| 2074 | "text": [ |
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| 2075 | "BF X500K, 05 (3).jpg\n" |
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| 2077 | }, |
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| 2078 | { |
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| 2079 | "name": "stdout", |
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| 2080 | "output_type": "stream", |
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| 2082 | "0501_300kx_1nm_clhaadf3_0038.jpg\n" |
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| 2083 | ] |
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| 2084 | } |
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| 2085 | ], |
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| 2086 | "source": [ |
||
| 2087 | "##################################################\n", |
||
| 2088 | "# 1. Define data augmentation operations\n", |
||
| 2089 | "##################################################\n", |
||
| 2090 | "\n", |
||
| 2091 | "trainImageTxtFile = dataPath + \"trainimages.txt\"\n", |
||
| 2092 | "imageList = getImageList(trainImageTxtFile)\n", |
||
| 2093 | "\n", |
||
| 2094 | "current_operation = \"GaussianBlur\"\n", |
||
| 2095 | "\n", |
||
| 2096 | "# blur images with a sigma of 0 to 3.0 \n", |
||
| 2097 | "from imgaug import augmenters as iaa\n", |
||
| 2098 | "ia.seed(1)\n", |
||
| 2099 | "seq = iaa.Sequential([\n", |
||
| 2100 | " iaa.GaussianBlur(sigma=(0, 3)) \n", |
||
| 2101 | "])\n", |
||
| 2102 | "\n", |
||
| 2103 | "# seq = iaa.Sequential([ \n", |
||
| 2104 | "# # Adjust contrast by scaling each pixel value to (I_ij/255.0)**gamma.\n", |
||
| 2105 | "# # Values in the range gamma=(0.5, 2.0) seem to be sensible.\n", |
||
| 2106 | "# iaa.GammaContrast((0.5, 1.5))\n", |
||
| 2107 | "# ])\n", |
||
| 2108 | "\n", |
||
| 2109 | "# Make our sequence deterministic.\n", |
||
| 2110 | "# We can now apply it to the image and then to the BBs and it will\n", |
||
| 2111 | "# lead to the same augmentations.\n", |
||
| 2112 | "# IMPORTANT: Call this once PER BATCH, otherwise you will always get the exactly same augmentations for every batch!\n", |
||
| 2113 | "seq_det = seq.to_deterministic()\n", |
||
| 2114 | "\n", |
||
| 2115 | "##################################################\n", |
||
| 2116 | "# 2. loop through images\n", |
||
| 2117 | "##################################################\n", |
||
| 2118 | "\n", |
||
| 2119 | "for img in imageList:\n", |
||
| 2120 | " print(img)\n", |
||
| 2121 | " # Grayscale images must have shape (height, width, 1) each.\n", |
||
| 2122 | " #print(os.listdir(dataPath+'images/'))\n", |
||
| 2123 | " currentimage = skimage.io.imread(dataPath+'images/'+img).astype(np.uint8)\n", |
||
| 2124 | " # gray2rgb() simply duplicates the gray values over the three color channels.\n", |
||
| 2125 | " currentimage = color.gray2rgb(currentimage)\n", |
||
| 2126 | " bbs = bboxSetupInImage(dataPath , img.rstrip('.jpg') + '.txt',currentimage)\n", |
||
| 2127 | " # Augment BBs and images.\n", |
||
| 2128 | " # As we only have one image and list of BBs, we use\n", |
||
| 2129 | " # [image] and [bbs] to turn both into lists (batches) for the# functions and then [0] to reverse that. In a real experiment, your\n", |
||
| 2130 | " # variables would likely already be lists.\n", |
||
| 2131 | " image_aug = seq_det.augment_images([currentimage])[0]\n", |
||
| 2132 | " bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]\n", |
||
| 2133 | " augImgFolder = current_operation + \"Images\"\n", |
||
| 2134 | " augTxTFolder = current_operation + \"TXT\"\n", |
||
| 2135 | " createFolder(augImgFolder)\n", |
||
| 2136 | " createFolder(augTxTFolder)\n", |
||
| 2137 | " # Save aug images and bboxes\n", |
||
| 2138 | " skimage.io.imsave(augImgFolder + '/'+\n", |
||
| 2139 | " img.rstrip('.jpg') + \n", |
||
| 2140 | " '_' + current_operation +\n", |
||
| 2141 | " '.jpg'\n", |
||
| 2142 | " ,image_aug)\n", |
||
| 2143 | " saveAugbbox2TXT(augTxTFolder+ '/'+ \n", |
||
| 2144 | " img.rstrip('.jpg') + \n", |
||
| 2145 | " '_'+ current_operation +\n", |
||
| 2146 | " '.txt',bbs_aug)\n", |
||
| 2147 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 2148 | " # image_before = bbs.draw_on_image(currentimage, thickness=2)\n", |
||
| 2149 | " # image_after = bbs_aug.draw_on_image(image_aug, \n", |
||
| 2150 | " # thickness=2, color=[0, 0, 255])\n", |
||
| 2151 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 2152 | " # plot and save figures before and after data augmentations\n", |
||
| 2153 | " #skimage.io.imshow(image_before)\n", |
||
| 2154 | " #skimage.io.imshow(image_after)\n", |
||
| 2155 | " # for i in range(len(bbs.bounding_boxes)):\n", |
||
| 2156 | " # before = bbs.bounding_boxes[i]\n", |
||
| 2157 | " # after = bbs_aug.bounding_boxes[i]\n", |
||
| 2158 | " # print(\"BB %d: (%.4f, %.4f, %.4f, %.4f) -> (%.4f, %.4f, %.4f, %.4f)\" % (\n", |
||
| 2159 | " # i,\n", |
||
| 2160 | " # before.x1, before.y1, before.x2, before.y2,\n", |
||
| 2161 | " # after.x1, after.y1, after.x2, after.y2)\n", |
||
| 2162 | " # )" |
||
| 2163 | ] |
||
| 2164 | }, |
||
| 2165 | { |
||
| 2166 | "cell_type": "heading", |
||
| 2167 | "metadata": {}, |
||
| 2168 | "level": 2, |
||
| 2169 | "source": [ |
||
| 2170 | "change brightness" |
||
| 2171 | ] |
||
| 2172 | }, |
||
| 2173 | { |
||
| 2174 | "cell_type": "code", |
||
| 2175 | "execution_count": 32, |
||
| 2176 | "metadata": {}, |
||
| 2177 | "outputs": [ |
||
| 2178 | { |
||
| 2179 | "name": "stdout", |
||
| 2180 | "output_type": "stream", |
||
| 2181 | "text": [ |
||
| 2182 | "0501_300kx_1nm_clhaadf3_0006.jpg\n0501_300kx_1nm_clhaadf3_0008.jpg\n" |
||
| 2183 | ] |
||
| 2184 | }, |
||
| 2185 | { |
||
| 2186 | "name": "stdout", |
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| 2187 | "output_type": "stream", |
||
| 2188 | "text": [ |
||
| 2189 | "0501_300kx_1nm_clhaadf3_0012.jpg\n" |
||
| 2190 | ] |
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| 2191 | }, |
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| 2192 | { |
||
| 2193 | "name": "stdout", |
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| 2194 | "output_type": "stream", |
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| 2195 | "text": [ |
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| 2196 | "0501_300kx_1nm_clhaadf3_0016.jpg\n0501_300kx_1nm_clhaadf3_0018.jpg\n" |
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| 2197 | ] |
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| 2198 | }, |
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| 2199 | { |
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| 2200 | "name": "stdout", |
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| 2201 | "output_type": "stream", |
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| 2202 | "text": [ |
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| 2203 | "0501_300kx_1nm_clhaadf3_0020.jpg\n0501_300kx_1nm_clhaadf3_0022.jpg\n" |
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| 2204 | ] |
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| 2205 | }, |
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| 2206 | { |
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| 2207 | "name": "stdout", |
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| 2208 | "output_type": "stream", |
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| 2209 | "text": [ |
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| 2210 | "0501_300kx_1nm_clhaadf3_0024.jpg\n0501_300kx_1nm_clhaadf3_0026.jpg\n" |
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| 2211 | ] |
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| 2212 | }, |
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| 2213 | { |
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| 2214 | "name": "stdout", |
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| 2215 | "output_type": "stream", |
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| 2216 | "text": [ |
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| 2217 | "0501_300kx_1nm_clhaadf3_0030.jpg\n0501_300kx_1nm_clhaadf3_0031.jpg\n" |
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| 2218 | ] |
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| 2219 | }, |
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| 2220 | { |
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| 2221 | "name": "stdout", |
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| 2222 | "output_type": "stream", |
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| 2223 | "text": [ |
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| 2224 | "0501_300kx_1nm_clhaadf3_0034.jpg\n" |
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| 2225 | ] |
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| 2226 | }, |
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| 2227 | { |
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| 2228 | "name": "stdout", |
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| 2229 | "output_type": "stream", |
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| 2230 | "text": [ |
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| 2231 | "0501_300kx_1nm_clhaadf3_0036.jpg\n0501_300kx_1nm_clhaadf3_0040.jpg\n" |
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| 2232 | ] |
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| 2233 | }, |
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| 2234 | { |
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| 2235 | "name": "stdout", |
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| 2236 | "output_type": "stream", |
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| 2237 | "text": [ |
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| 2238 | "0501_300kx_1nm_clhaadf3_0044.jpg\n" |
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| 2239 | ] |
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| 2240 | }, |
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| 2241 | { |
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| 2242 | "name": "stdout", |
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| 2243 | "output_type": "stream", |
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| 2244 | "text": [ |
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| 2245 | "0501_300kx_1nm_clhaadf3_0046.jpg\n0501_300kx_1nm_clhaadf3_0048.jpg\n" |
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| 2246 | ] |
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| 2247 | }, |
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| 2248 | { |
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| 2249 | "name": "stdout", |
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| 2250 | "output_type": "stream", |
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| 2251 | "text": [ |
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| 2252 | "0501_300kx_1nm_clhaadf3_0050.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0002.jpg\n" |
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| 2253 | ] |
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| 2254 | }, |
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| 2255 | { |
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| 2256 | "name": "stdout", |
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| 2257 | "output_type": "stream", |
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| 2258 | "text": [ |
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| 2259 | "200kV_500kx_p2nm_8cmCL_grain1_0002_n.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0004_n.jpg\n" |
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| 2260 | ] |
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| 2262 | { |
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| 2263 | "name": "stdout", |
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| 2264 | "output_type": "stream", |
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| 2265 | "text": [ |
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| 2266 | "200kV_500kx_p2nm_8cmCL_grain1_0048 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0050 - Copy.jpg\n" |
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| 2267 | ] |
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| 2269 | { |
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| 2270 | "name": "stdout", |
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| 2271 | "output_type": "stream", |
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| 2272 | "text": [ |
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| 2273 | "200kV_500kx_p2nm_8cmCL_grain1_0052 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0054 - Copy.jpg\n" |
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| 2274 | ] |
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| 2276 | { |
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| 2277 | "name": "stdout", |
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| 2278 | "output_type": "stream", |
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| 2279 | "text": [ |
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| 2280 | "200kV_500kx_p2nm_8cmCL_grain1_0058 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0060 - Copy.jpg\n" |
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| 2281 | ] |
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| 2283 | { |
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| 2284 | "name": "stdout", |
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| 2285 | "output_type": "stream", |
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| 2286 | "text": [ |
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| 2287 | "200kV_500kx_p2nm_8cmCL_grain1_0062 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0064 - Copy.jpg\n" |
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| 2288 | ] |
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| 2289 | }, |
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| 2290 | { |
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| 2291 | "name": "stdout", |
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| 2292 | "output_type": "stream", |
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| 2293 | "text": [ |
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| 2294 | "200kV_500kx_p2nm_8cmCL_grain1_0066 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0068 - Copy.jpg\n" |
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| 2295 | ] |
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| 2297 | { |
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| 2298 | "name": "stdout", |
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| 2299 | "output_type": "stream", |
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| 2300 | "text": [ |
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| 2301 | "200kV_500kx_p2nm_8cmCL_grain1_0070 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0072 - Copy.jpg\n" |
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| 2302 | ] |
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| 2304 | { |
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| 2305 | "name": "stdout", |
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| 2306 | "output_type": "stream", |
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| 2308 | "200kV_500kx_p2nm_8cmCL_grain1_0074 - Copy.jpg\n" |
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| 2309 | ] |
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| 2310 | }, |
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| 2311 | { |
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| 2312 | "name": "stdout", |
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| 2313 | "output_type": "stream", |
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| 2314 | "text": [ |
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| 2315 | "200kV_500kx_p2nm_8cmCL_grain1_0076 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0078 - Copy.jpg\n" |
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| 2316 | ] |
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| 2318 | { |
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| 2319 | "name": "stdout", |
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| 2320 | "output_type": "stream", |
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| 2321 | "text": [ |
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| 2322 | "200kV_500kx_p2nm_8cmCL_grain1_0080 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0084 - Copy.jpg\n" |
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| 2323 | ] |
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| 2325 | { |
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| 2326 | "name": "stdout", |
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| 2327 | "output_type": "stream", |
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| 2329 | "200kV_500kx_p2nm_8cmCL_grain1_0086 - Copy.jpg\n" |
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| 2330 | ] |
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| 2332 | { |
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| 2333 | "name": "stdout", |
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| 2334 | "output_type": "stream", |
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| 2335 | "text": [ |
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| 2336 | "200kV_500kx_p2nm_8cmCL_grain1_0090 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0092 - Copy.jpg\n" |
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| 2337 | ] |
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| 2339 | { |
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| 2340 | "name": "stdout", |
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| 2341 | "output_type": "stream", |
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| 2342 | "text": [ |
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| 2343 | "200kV_500kx_p2nm_8cmCL_grain1_0109.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0111.jpg\n" |
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| 2344 | ] |
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| 2347 | "name": "stdout", |
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| 2349 | "text": [ |
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| 2350 | "200kV_500kx_p2nm_8cmCL_grain1_0129.jpg\n200kV_500kx_p2nm_8cmCL_grain2_0010.jpg\n" |
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| 2351 | ] |
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| 2354 | "name": "stdout", |
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| 2356 | "text": [ |
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| 2357 | "200kV_500kx_p2nm_8cmCL_grain2_0012.jpg\n200kV_500kx_p2nm_8cmCL_grain3_4_0258.jpg\n" |
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| 2358 | ] |
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| 2360 | { |
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| 2361 | "name": "stdout", |
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| 2362 | "output_type": "stream", |
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| 2364 | "2501_300kx_1nm_clhaadf3_0032.jpg\n" |
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| 2368 | "name": "stdout", |
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| 2470 | ] |
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| 2480 | "name": "stdout", |
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| 2488 | "output_type": "stream", |
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| 2494 | "name": "stdout", |
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| 2506 | }, |
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| 2536 | "name": "stdout", |
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| 2550 | "name": "stdout", |
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| 2553 | "BF X500K, 11 (3).jpg\nBF X500K, 11.jpg\n" |
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| 2567 | "BF X500K, 12.jpg\n" |
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| 2574 | "BF X500K, 13 (3).jpg\nBF X500K, 14.jpg\n" |
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| 2581 | "BF X500K, 15.jpg\nBF X500K, 16.jpg\n" |
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| 2588 | "K713_300kx_store4_grid1_0005.jpg\nK713_300kx_store4_grid1_0007.jpg\n" |
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| 2595 | "K713_300kx_store4_grid1_0009.jpg\nK713_300kx_store4_grid1_0011.jpg\n" |
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| 2609 | "K713_300kx_store4_grid1_0015.jpg\nK713_300kx_store4_grid1_0017.jpg\n" |
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| 2610 | ] |
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| 2611 | }, |
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| 2613 | "name": "stdout", |
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| 2614 | "output_type": "stream", |
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| 2616 | "K713_300kx_store4_grid1_0019.jpg\ndalong2.jpg\n" |
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| 2618 | }, |
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| 2619 | { |
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| 2620 | "name": "stdout", |
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| 2621 | "output_type": "stream", |
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| 2622 | "text": [ |
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| 2623 | "dalong3.jpg\ng1_backonzone_GBtowardsfrom_0005.jpg\n" |
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| 2624 | ] |
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| 2625 | }, |
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| 2627 | "name": "stdout", |
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| 2628 | "output_type": "stream", |
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| 2629 | "text": [ |
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| 2630 | "g1_frontonzone_GBtowardsback_0006.jpg\n" |
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| 2633 | { |
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| 2634 | "name": "stdout", |
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| 2635 | "output_type": "stream", |
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| 2636 | "text": [ |
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| 2637 | "g2_midonzone_GBtowardsfront_0005.jpg\n" |
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| 2640 | { |
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| 2641 | "name": "stdout", |
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| 2642 | "output_type": "stream", |
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| 2643 | "text": [ |
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| 2644 | "g2_midonzone_GBtowardsfront_0034.jpg\n" |
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| 2646 | }, |
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| 2647 | { |
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| 2650 | "text": [ |
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| 2651 | "g2_midonzone_GBtowardsmmiddle_0003.jpg\n" |
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| 2653 | }, |
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| 2654 | { |
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| 2656 | "output_type": "stream", |
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| 2657 | "text": [ |
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| 2658 | "g2_midonzone_GBtowardsmmiddle_0005.jpg\n" |
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| 2661 | { |
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| 2663 | "output_type": "stream", |
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| 2664 | "text": [ |
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| 2665 | "grid1_roi1_500kx_0p5nm_haadf1_0001.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0003.jpg\n" |
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| 2666 | ] |
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| 2668 | { |
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| 2670 | "output_type": "stream", |
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| 2671 | "text": [ |
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| 2672 | "grid1_roi1_500kx_0p5nm_haadf1_0005.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0007.jpg\n" |
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| 2673 | ] |
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| 2675 | { |
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| 2677 | "output_type": "stream", |
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| 2678 | "text": [ |
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| 2679 | "grid1_roi1_500kx_0p5nm_haadf1_0009.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0011.jpg\n" |
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| 2680 | ] |
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| 2682 | { |
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| 2683 | "name": "stdout", |
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| 2684 | "output_type": "stream", |
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| 2685 | "text": [ |
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| 2686 | "grid1_roi1_500kx_0p5nm_haadf1_0013.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0015.jpg\n" |
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| 2687 | ] |
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| 2688 | }, |
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| 2689 | { |
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| 2690 | "name": "stdout", |
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| 2691 | "output_type": "stream", |
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| 2692 | "text": [ |
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| 2693 | "grid1_roi1_500kx_0p5nm_haadf1_0017.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0019.jpg\n" |
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| 2694 | ] |
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| 2695 | }, |
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| 2696 | { |
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| 2697 | "name": "stdout", |
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| 2698 | "output_type": "stream", |
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| 2699 | "text": [ |
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| 2700 | "grid1_roi1_500kx_0p5nm_haadf1_0021.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0023.jpg\n" |
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| 2701 | ] |
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| 2702 | }, |
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| 2703 | { |
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| 2704 | "name": "stdout", |
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| 2705 | "output_type": "stream", |
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| 2706 | "text": [ |
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| 2707 | "grid1_roi1_500kx_0p5nm_haadf1_0027.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0029.jpg\n" |
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| 2708 | ] |
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| 2709 | }, |
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| 2710 | { |
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| 2711 | "name": "stdout", |
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| 2712 | "output_type": "stream", |
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| 2713 | "text": [ |
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| 2714 | "grid1_roi1_500kx_0p5nm_haadf1_0031.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0035.jpg\n" |
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| 2715 | ] |
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| 2716 | }, |
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| 2717 | { |
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| 2718 | "name": "stdout", |
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| 2719 | "output_type": "stream", |
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| 2720 | "text": [ |
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| 2721 | "grid1_roi2_500kx_0p5nm_haadf1_0037.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0039.jpg\n" |
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| 2722 | ] |
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| 2723 | }, |
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| 2724 | { |
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| 2725 | "name": "stdout", |
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| 2726 | "output_type": "stream", |
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| 2727 | "text": [ |
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| 2728 | "grid1_roi2_500kx_0p5nm_haadf1_0041.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0044.jpg\n" |
||
| 2729 | ] |
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| 2730 | }, |
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| 2731 | { |
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| 2732 | "name": "stdout", |
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| 2733 | "output_type": "stream", |
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| 2734 | "text": [ |
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| 2735 | "grid1_roi2_500kx_0p5nm_haadf1_0045.jpg\n" |
||
| 2736 | ] |
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| 2737 | }, |
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| 2738 | { |
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| 2739 | "name": "stdout", |
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| 2740 | "output_type": "stream", |
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| 2741 | "text": [ |
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| 2742 | "grid1_roi2_500kx_0p5nm_haadf1_0049.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0051.jpg\n" |
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| 2743 | ] |
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| 2744 | }, |
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| 2745 | { |
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| 2746 | "name": "stdout", |
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| 2747 | "output_type": "stream", |
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| 2748 | "text": [ |
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| 2749 | "grid1_roi2_500kx_0p5nm_haadf1_0053.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0055.jpg\n" |
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| 2750 | ] |
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| 2751 | }, |
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| 2752 | { |
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| 2753 | "name": "stdout", |
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| 2754 | "output_type": "stream", |
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| 2755 | "text": [ |
||
| 2756 | "grid1_roi2_500kx_0p5nm_haadf1_0057.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0059.jpg\n" |
||
| 2757 | ] |
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| 2758 | }, |
||
| 2759 | { |
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| 2760 | "name": "stdout", |
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| 2761 | "output_type": "stream", |
||
| 2762 | "text": [ |
||
| 2763 | "grid1_roi2_500kx_0p5nm_haadf1_0061.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0063.jpg\n" |
||
| 2764 | ] |
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| 2765 | }, |
||
| 2766 | { |
||
| 2767 | "name": "stdout", |
||
| 2768 | "output_type": "stream", |
||
| 2769 | "text": [ |
||
| 2770 | "grid1_roi2_500kx_0p5nm_haadf1_0065.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0067.jpg\n" |
||
| 2771 | ] |
||
| 2772 | }, |
||
| 2773 | { |
||
| 2774 | "name": "stdout", |
||
| 2775 | "output_type": "stream", |
||
| 2776 | "text": [ |
||
| 2777 | "grid1_roi2_500kx_0p5nm_haadf1_0069.jpg\nBF X500K, 05 (3).jpg\n" |
||
| 2778 | ] |
||
| 2779 | }, |
||
| 2780 | { |
||
| 2781 | "name": "stdout", |
||
| 2782 | "output_type": "stream", |
||
| 2783 | "text": [ |
||
| 2784 | "0501_300kx_1nm_clhaadf3_0038.jpg\n" |
||
| 2785 | ] |
||
| 2786 | } |
||
| 2787 | ], |
||
| 2788 | "source": [ |
||
| 2789 | "##################################################\n", |
||
| 2790 | "# 1. Define data augmentation operations\n", |
||
| 2791 | "##################################################\n", |
||
| 2792 | "\n", |
||
| 2793 | "trainImageTxtFile = dataPath + \"trainimages.txt\"\n", |
||
| 2794 | "imageList = getImageList(trainImageTxtFile)\n", |
||
| 2795 | "\n", |
||
| 2796 | "current_operation = \"Brightness\"\n", |
||
| 2797 | "\n", |
||
| 2798 | "# Strengthen or weaken the contrast in each image. \n", |
||
| 2799 | "from imgaug import augmenters as iaa\n", |
||
| 2800 | "ia.seed(1)\n", |
||
| 2801 | "seq = iaa.Sequential([\n", |
||
| 2802 | " iaa.Multiply((1.2, 1.5))\n", |
||
| 2803 | "])\n", |
||
| 2804 | "\n", |
||
| 2805 | "# seq = iaa.Sequential([ \n", |
||
| 2806 | "# # Adjust contrast by scaling each pixel value to (I_ij/255.0)**gamma.\n", |
||
| 2807 | "# # Values in the range gamma=(0.5, 2.0) seem to be sensible.\n", |
||
| 2808 | "# iaa.GammaContrast((0.5, 1.5))\n", |
||
| 2809 | "# ])\n", |
||
| 2810 | "\n", |
||
| 2811 | "# Make our sequence deterministic.\n", |
||
| 2812 | "# We can now apply it to the image and then to the BBs and it will\n", |
||
| 2813 | "# lead to the same augmentations.\n", |
||
| 2814 | "# IMPORTANT: Call this once PER BATCH, otherwise you will always get the exactly same augmentations for every batch!\n", |
||
| 2815 | "seq_det = seq.to_deterministic()\n", |
||
| 2816 | "\n", |
||
| 2817 | "##################################################\n", |
||
| 2818 | "# 2. loop through images\n", |
||
| 2819 | "##################################################\n", |
||
| 2820 | "\n", |
||
| 2821 | "for img in imageList:\n", |
||
| 2822 | " print(img)\n", |
||
| 2823 | " # Grayscale images must have shape (height, width, 1) each.\n", |
||
| 2824 | " #print(os.listdir(dataPath+'images/'))\n", |
||
| 2825 | " currentimage = skimage.io.imread(dataPath+'images/'+img).astype(np.uint8)\n", |
||
| 2826 | " # gray2rgb() simply duplicates the gray values over the three color channels.\n", |
||
| 2827 | " currentimage = color.gray2rgb(currentimage)\n", |
||
| 2828 | " bbs = bboxSetupInImage(dataPath , img.rstrip('.jpg') + '.txt',currentimage)\n", |
||
| 2829 | " # Augment BBs and images.\n", |
||
| 2830 | " # As we only have one image and list of BBs, we use\n", |
||
| 2831 | " # [image] and [bbs] to turn both into lists (batches) for the# functions and then [0] to reverse that. In a real experiment, your\n", |
||
| 2832 | " # variables would likely already be lists.\n", |
||
| 2833 | " image_aug = seq_det.augment_images([currentimage])[0]\n", |
||
| 2834 | " bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]\n", |
||
| 2835 | " augImgFolder = current_operation + \"Images\"\n", |
||
| 2836 | " augTxTFolder = current_operation + \"TXT\"\n", |
||
| 2837 | " createFolder(augImgFolder)\n", |
||
| 2838 | " createFolder(augTxTFolder)\n", |
||
| 2839 | " # Save aug images and bboxes\n", |
||
| 2840 | " skimage.io.imsave(augImgFolder + '/'+\n", |
||
| 2841 | " img.rstrip('.jpg') + \n", |
||
| 2842 | " '_' + current_operation +\n", |
||
| 2843 | " '.jpg'\n", |
||
| 2844 | " ,image_aug)\n", |
||
| 2845 | " saveAugbbox2TXT(augTxTFolder+ '/'+ \n", |
||
| 2846 | " img.rstrip('.jpg') + \n", |
||
| 2847 | " '_'+ current_operation +\n", |
||
| 2848 | " '.txt',bbs_aug)\n", |
||
| 2849 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 2850 | " # image_before = bbs.draw_on_image(currentimage, thickness=2)\n", |
||
| 2851 | " # image_after = bbs_aug.draw_on_image(image_aug, \n", |
||
| 2852 | " # thickness=2, color=[0, 0, 255])\n", |
||
| 2853 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 2854 | " # plot and save figures before and after data augmentations\n", |
||
| 2855 | " #skimage.io.imshow(image_before)\n", |
||
| 2856 | " #skimage.io.imshow(image_after)\n", |
||
| 2857 | " # for i in range(len(bbs.bounding_boxes)):\n", |
||
| 2858 | " # before = bbs.bounding_boxes[i]\n", |
||
| 2859 | " # after = bbs_aug.bounding_boxes[i]\n", |
||
| 2860 | " # print(\"BB %d: (%.4f, %.4f, %.4f, %.4f) -> (%.4f, %.4f, %.4f, %.4f)\" % (\n", |
||
| 2861 | " # i,\n", |
||
| 2862 | " # before.x1, before.y1, before.x2, before.y2,\n", |
||
| 2863 | " # after.x1, after.y1, after.x2, after.y2)\n", |
||
| 2864 | " # )" |
||
| 2865 | ] |
||
| 2866 | }, |
||
| 2867 | { |
||
| 2868 | "cell_type": "heading", |
||
| 2869 | "metadata": {}, |
||
| 2870 | "level": 2, |
||
| 2871 | "source": [ |
||
| 2872 | "Contrast Normalization" |
||
| 2873 | ] |
||
| 2874 | }, |
||
| 2875 | { |
||
| 2876 | "cell_type": "code", |
||
| 2877 | "execution_count": 33, |
||
| 2878 | "metadata": {}, |
||
| 2879 | "outputs": [ |
||
| 2880 | { |
||
| 2881 | "name": "stdout", |
||
| 2882 | "output_type": "stream", |
||
| 2883 | "text": [ |
||
| 2884 | "0501_300kx_1nm_clhaadf3_0006.jpg\n0501_300kx_1nm_clhaadf3_0008.jpg\n" |
||
| 2885 | ] |
||
| 2886 | }, |
||
| 2887 | { |
||
| 2888 | "name": "stdout", |
||
| 2889 | "output_type": "stream", |
||
| 2890 | "text": [ |
||
| 2891 | "0501_300kx_1nm_clhaadf3_0012.jpg\n" |
||
| 2892 | ] |
||
| 2893 | }, |
||
| 2894 | { |
||
| 2895 | "name": "stdout", |
||
| 2896 | "output_type": "stream", |
||
| 2897 | "text": [ |
||
| 2898 | "0501_300kx_1nm_clhaadf3_0016.jpg\n" |
||
| 2899 | ] |
||
| 2900 | }, |
||
| 2901 | { |
||
| 2902 | "name": "stdout", |
||
| 2903 | "output_type": "stream", |
||
| 2904 | "text": [ |
||
| 2905 | "0501_300kx_1nm_clhaadf3_0018.jpg\n" |
||
| 2906 | ] |
||
| 2907 | }, |
||
| 2908 | { |
||
| 2909 | "name": "stdout", |
||
| 2910 | "output_type": "stream", |
||
| 2911 | "text": [ |
||
| 2912 | "0501_300kx_1nm_clhaadf3_0020.jpg\n0501_300kx_1nm_clhaadf3_0022.jpg\n" |
||
| 2913 | ] |
||
| 2914 | }, |
||
| 2915 | { |
||
| 2916 | "name": "stdout", |
||
| 2917 | "output_type": "stream", |
||
| 2918 | "text": [ |
||
| 2919 | "0501_300kx_1nm_clhaadf3_0024.jpg\n0501_300kx_1nm_clhaadf3_0026.jpg\n" |
||
| 2920 | ] |
||
| 2921 | }, |
||
| 2922 | { |
||
| 2923 | "name": "stdout", |
||
| 2924 | "output_type": "stream", |
||
| 2925 | "text": [ |
||
| 2926 | "0501_300kx_1nm_clhaadf3_0030.jpg\n0501_300kx_1nm_clhaadf3_0031.jpg\n" |
||
| 2927 | ] |
||
| 2928 | }, |
||
| 2929 | { |
||
| 2930 | "name": "stdout", |
||
| 2931 | "output_type": "stream", |
||
| 2932 | "text": [ |
||
| 2933 | "0501_300kx_1nm_clhaadf3_0034.jpg\n" |
||
| 2934 | ] |
||
| 2935 | }, |
||
| 2936 | { |
||
| 2937 | "name": "stdout", |
||
| 2938 | "output_type": "stream", |
||
| 2939 | "text": [ |
||
| 2940 | "0501_300kx_1nm_clhaadf3_0036.jpg\n0501_300kx_1nm_clhaadf3_0040.jpg\n" |
||
| 2941 | ] |
||
| 2942 | }, |
||
| 2943 | { |
||
| 2944 | "name": "stdout", |
||
| 2945 | "output_type": "stream", |
||
| 2946 | "text": [ |
||
| 2947 | "0501_300kx_1nm_clhaadf3_0044.jpg\n0501_300kx_1nm_clhaadf3_0046.jpg\n" |
||
| 2948 | ] |
||
| 2949 | }, |
||
| 2950 | { |
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| 2951 | "name": "stdout", |
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| 2952 | "output_type": "stream", |
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| 2953 | "text": [ |
||
| 2954 | "0501_300kx_1nm_clhaadf3_0048.jpg\n0501_300kx_1nm_clhaadf3_0050.jpg\n" |
||
| 2955 | ] |
||
| 2956 | }, |
||
| 2957 | { |
||
| 2958 | "name": "stdout", |
||
| 2959 | "output_type": "stream", |
||
| 2960 | "text": [ |
||
| 2961 | "200kV_500kx_p2nm_8cmCL_grain1_0002.jpg\n" |
||
| 2962 | ] |
||
| 2963 | }, |
||
| 2964 | { |
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| 2965 | "name": "stdout", |
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| 2966 | "output_type": "stream", |
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| 2967 | "text": [ |
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| 2968 | "200kV_500kx_p2nm_8cmCL_grain1_0002_n.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0004_n.jpg\n" |
||
| 2969 | ] |
||
| 2970 | }, |
||
| 2971 | { |
||
| 2972 | "name": "stdout", |
||
| 2973 | "output_type": "stream", |
||
| 2974 | "text": [ |
||
| 2975 | "200kV_500kx_p2nm_8cmCL_grain1_0048 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0050 - Copy.jpg\n" |
||
| 2976 | ] |
||
| 2977 | }, |
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| 2978 | { |
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| 2979 | "name": "stdout", |
||
| 2980 | "output_type": "stream", |
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| 2981 | "text": [ |
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| 2982 | "200kV_500kx_p2nm_8cmCL_grain1_0052 - Copy.jpg\n" |
||
| 2983 | ] |
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| 2984 | }, |
||
| 2985 | { |
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| 2986 | "name": "stdout", |
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| 2987 | "output_type": "stream", |
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| 2988 | "text": [ |
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| 2989 | "200kV_500kx_p2nm_8cmCL_grain1_0054 - Copy.jpg\n" |
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| 2990 | ] |
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| 2991 | }, |
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| 2992 | { |
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| 2993 | "name": "stdout", |
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| 2994 | "output_type": "stream", |
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| 2995 | "text": [ |
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| 2996 | "200kV_500kx_p2nm_8cmCL_grain1_0058 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0060 - Copy.jpg\n" |
||
| 2997 | ] |
||
| 2998 | }, |
||
| 2999 | { |
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| 3000 | "name": "stdout", |
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| 3001 | "output_type": "stream", |
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| 3002 | "text": [ |
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| 3003 | "200kV_500kx_p2nm_8cmCL_grain1_0062 - Copy.jpg\n" |
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| 3004 | ] |
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| 3005 | }, |
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| 3006 | { |
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| 3007 | "name": "stdout", |
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| 3008 | "output_type": "stream", |
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| 3009 | "text": [ |
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| 3010 | "200kV_500kx_p2nm_8cmCL_grain1_0064 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0066 - Copy.jpg\n" |
||
| 3011 | ] |
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| 3012 | }, |
||
| 3013 | { |
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| 3014 | "name": "stdout", |
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| 3015 | "output_type": "stream", |
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| 3016 | "text": [ |
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| 3017 | "200kV_500kx_p2nm_8cmCL_grain1_0068 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0070 - Copy.jpg\n" |
||
| 3018 | ] |
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| 3019 | }, |
||
| 3020 | { |
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| 3021 | "name": "stdout", |
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| 3022 | "output_type": "stream", |
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| 3023 | "text": [ |
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| 3024 | "200kV_500kx_p2nm_8cmCL_grain1_0072 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0074 - Copy.jpg\n" |
||
| 3025 | ] |
||
| 3026 | }, |
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| 3027 | { |
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| 3028 | "name": "stdout", |
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| 3029 | "output_type": "stream", |
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| 3030 | "text": [ |
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| 3031 | "200kV_500kx_p2nm_8cmCL_grain1_0076 - Copy.jpg\n" |
||
| 3032 | ] |
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| 3033 | }, |
||
| 3034 | { |
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| 3035 | "name": "stdout", |
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| 3036 | "output_type": "stream", |
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| 3037 | "text": [ |
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| 3038 | "200kV_500kx_p2nm_8cmCL_grain1_0078 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0080 - Copy.jpg\n" |
||
| 3039 | ] |
||
| 3040 | }, |
||
| 3041 | { |
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| 3042 | "name": "stdout", |
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| 3043 | "output_type": "stream", |
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| 3044 | "text": [ |
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| 3045 | "200kV_500kx_p2nm_8cmCL_grain1_0084 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0086 - Copy.jpg\n" |
||
| 3046 | ] |
||
| 3047 | }, |
||
| 3048 | { |
||
| 3049 | "name": "stdout", |
||
| 3050 | "output_type": "stream", |
||
| 3051 | "text": [ |
||
| 3052 | "200kV_500kx_p2nm_8cmCL_grain1_0090 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0092 - Copy.jpg\n" |
||
| 3053 | ] |
||
| 3054 | }, |
||
| 3055 | { |
||
| 3056 | "name": "stdout", |
||
| 3057 | "output_type": "stream", |
||
| 3058 | "text": [ |
||
| 3059 | "200kV_500kx_p2nm_8cmCL_grain1_0109.jpg\n" |
||
| 3060 | ] |
||
| 3061 | }, |
||
| 3062 | { |
||
| 3063 | "name": "stdout", |
||
| 3064 | "output_type": "stream", |
||
| 3065 | "text": [ |
||
| 3066 | "200kV_500kx_p2nm_8cmCL_grain1_0111.jpg\n" |
||
| 3067 | ] |
||
| 3068 | }, |
||
| 3069 | { |
||
| 3070 | "name": "stdout", |
||
| 3071 | "output_type": "stream", |
||
| 3072 | "text": [ |
||
| 3073 | "200kV_500kx_p2nm_8cmCL_grain1_0129.jpg\n" |
||
| 3074 | ] |
||
| 3075 | }, |
||
| 3076 | { |
||
| 3077 | "name": "stdout", |
||
| 3078 | "output_type": "stream", |
||
| 3079 | "text": [ |
||
| 3080 | "200kV_500kx_p2nm_8cmCL_grain2_0010.jpg\n" |
||
| 3081 | ] |
||
| 3082 | }, |
||
| 3083 | { |
||
| 3084 | "name": "stdout", |
||
| 3085 | "output_type": "stream", |
||
| 3086 | "text": [ |
||
| 3087 | "200kV_500kx_p2nm_8cmCL_grain2_0012.jpg\n" |
||
| 3088 | ] |
||
| 3089 | }, |
||
| 3090 | { |
||
| 3091 | "name": "stdout", |
||
| 3092 | "output_type": "stream", |
||
| 3093 | "text": [ |
||
| 3094 | "200kV_500kx_p2nm_8cmCL_grain3_4_0258.jpg\n" |
||
| 3095 | ] |
||
| 3096 | }, |
||
| 3097 | { |
||
| 3098 | "name": "stdout", |
||
| 3099 | "output_type": "stream", |
||
| 3100 | "text": [ |
||
| 3101 | "2501_300kx_1nm_clhaadf3_0032.jpg\n2501_300kx_1nm_clhaadf3_0034.jpg\n" |
||
| 3102 | ] |
||
| 3103 | }, |
||
| 3104 | { |
||
| 3105 | "name": "stdout", |
||
| 3106 | "output_type": "stream", |
||
| 3107 | "text": [ |
||
| 3108 | "2501_300kx_1nm_clhaadf3_0036.jpg\n" |
||
| 3109 | ] |
||
| 3110 | }, |
||
| 3111 | { |
||
| 3112 | "name": "stdout", |
||
| 3113 | "output_type": "stream", |
||
| 3114 | "text": [ |
||
| 3115 | "2501_300kx_1nm_clhaadf3_0038.jpg\n2501_300kx_1nm_clhaadf3_0040.jpg\n" |
||
| 3116 | ] |
||
| 3117 | }, |
||
| 3118 | { |
||
| 3119 | "name": "stdout", |
||
| 3120 | "output_type": "stream", |
||
| 3121 | "text": [ |
||
| 3122 | "2501_300kx_1nm_clhaadf3_0042.jpg\n2501_300kx_1nm_clhaadf3_0044.jpg\n" |
||
| 3123 | ] |
||
| 3124 | }, |
||
| 3125 | { |
||
| 3126 | "name": "stdout", |
||
| 3127 | "output_type": "stream", |
||
| 3128 | "text": [ |
||
| 3129 | "2501_300kx_1nm_clhaadf3_0046.jpg\n2501_300kx_1nm_clhaadf3_0048.jpg\n" |
||
| 3130 | ] |
||
| 3131 | }, |
||
| 3132 | { |
||
| 3133 | "name": "stdout", |
||
| 3134 | "output_type": "stream", |
||
| 3135 | "text": [ |
||
| 3136 | "2501_300kx_1nm_clhaadf3_0050.jpg\n2501_300kx_1nm_clhaadf3_0052.jpg\n" |
||
| 3137 | ] |
||
| 3138 | }, |
||
| 3139 | { |
||
| 3140 | "name": "stdout", |
||
| 3141 | "output_type": "stream", |
||
| 3142 | "text": [ |
||
| 3143 | "2501_300kx_1nm_clhaadf3_0054.jpg\n" |
||
| 3144 | ] |
||
| 3145 | }, |
||
| 3146 | { |
||
| 3147 | "name": "stdout", |
||
| 3148 | "output_type": "stream", |
||
| 3149 | "text": [ |
||
| 3150 | "2ROI_100kx_4100CL_foil1.jpg\n" |
||
| 3151 | ] |
||
| 3152 | }, |
||
| 3153 | { |
||
| 3154 | "name": "stdout", |
||
| 3155 | "output_type": "stream", |
||
| 3156 | "text": [ |
||
| 3157 | "3ROI_100kx_4100CL_foil1.jpg\n4ROI_100kx_4100CL_foil1.jpg\n" |
||
| 3158 | ] |
||
| 3159 | }, |
||
| 3160 | { |
||
| 3161 | "name": "stdout", |
||
| 3162 | "output_type": "stream", |
||
| 3163 | "text": [ |
||
| 3164 | "5401_300kx_1nm_clhaadf3_0004.jpg\n5401_300kx_1nm_clhaadf3_0006.jpg\n" |
||
| 3165 | ] |
||
| 3166 | }, |
||
| 3167 | { |
||
| 3168 | "name": "stdout", |
||
| 3169 | "output_type": "stream", |
||
| 3170 | "text": [ |
||
| 3171 | "5401_300kx_1nm_clhaadf3_0016.jpg\n5401_300kx_1nm_clhaadf3_0018.jpg\n" |
||
| 3172 | ] |
||
| 3173 | }, |
||
| 3174 | { |
||
| 3175 | "name": "stdout", |
||
| 3176 | "output_type": "stream", |
||
| 3177 | "text": [ |
||
| 3178 | "5401_300kx_1nm_clhaadf3_0022.jpg\n" |
||
| 3179 | ] |
||
| 3180 | }, |
||
| 3181 | { |
||
| 3182 | "name": "stdout", |
||
| 3183 | "output_type": "stream", |
||
| 3184 | "text": [ |
||
| 3185 | "5401_300kx_1nm_clhaadf3_0024.jpg\n5401_300kx_1nm_clhaadf3_0026.jpg\n" |
||
| 3186 | ] |
||
| 3187 | }, |
||
| 3188 | { |
||
| 3189 | "name": "stdout", |
||
| 3190 | "output_type": "stream", |
||
| 3191 | "text": [ |
||
| 3192 | "5401_300kx_1nm_clhaadf3_0030.jpg\n" |
||
| 3193 | ] |
||
| 3194 | }, |
||
| 3195 | { |
||
| 3196 | "name": "stdout", |
||
| 3197 | "output_type": "stream", |
||
| 3198 | "text": [ |
||
| 3199 | "5ROI_100kx_4100CL_foil1 copy.jpg\n" |
||
| 3200 | ] |
||
| 3201 | }, |
||
| 3202 | { |
||
| 3203 | "name": "stdout", |
||
| 3204 | "output_type": "stream", |
||
| 3205 | "text": [ |
||
| 3206 | "6ROI_100kx_4100CL_foil1 copy.jpg\n7ROI_100kx_4100CL_foil1 copy.jpg\n" |
||
| 3207 | ] |
||
| 3208 | }, |
||
| 3209 | { |
||
| 3210 | "name": "stdout", |
||
| 3211 | "output_type": "stream", |
||
| 3212 | "text": [ |
||
| 3213 | "9ROI_100kx_4100CL_foil1.jpg\nBF X500K, 01 (2).jpg\n" |
||
| 3214 | ] |
||
| 3215 | }, |
||
| 3216 | { |
||
| 3217 | "name": "stdout", |
||
| 3218 | "output_type": "stream", |
||
| 3219 | "text": [ |
||
| 3220 | "BF X500K, 01 (3).jpg\nBF X500K, 02 (2).jpg\n" |
||
| 3221 | ] |
||
| 3222 | }, |
||
| 3223 | { |
||
| 3224 | "name": "stdout", |
||
| 3225 | "output_type": "stream", |
||
| 3226 | "text": [ |
||
| 3227 | "BF X500K, 03 (2).jpg\nBF X500K, 04.jpg\n" |
||
| 3228 | ] |
||
| 3229 | }, |
||
| 3230 | { |
||
| 3231 | "name": "stdout", |
||
| 3232 | "output_type": "stream", |
||
| 3233 | "text": [ |
||
| 3234 | "BF X500K, 05 (2).jpg\nBF X500K, 05.jpg\n" |
||
| 3235 | ] |
||
| 3236 | }, |
||
| 3237 | { |
||
| 3238 | "name": "stdout", |
||
| 3239 | "output_type": "stream", |
||
| 3240 | "text": [ |
||
| 3241 | "BF X500K, 06 (3).jpg\nBF X500K, 06.jpg\n" |
||
| 3242 | ] |
||
| 3243 | }, |
||
| 3244 | { |
||
| 3245 | "name": "stdout", |
||
| 3246 | "output_type": "stream", |
||
| 3247 | "text": [ |
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| 3248 | "BF X500K, 07 (2).jpg\nBF X500K, 08 (2).jpg\n" |
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| 3249 | ] |
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| 3250 | }, |
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| 3251 | { |
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| 3252 | "name": "stdout", |
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| 3255 | "BF X500K, 08 (3).jpg\nBF X500K, 08.jpg\n" |
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| 3259 | "name": "stdout", |
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| 3262 | "BF X500K, 10 (2).jpg\nBF X500K, 10 (3).jpg\n" |
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| 3264 | }, |
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| 3266 | "name": "stdout", |
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| 3268 | "text": [ |
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| 3269 | "BF X500K, 10.jpg\n" |
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| 3270 | ] |
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| 3271 | }, |
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| 3273 | "name": "stdout", |
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| 3276 | "BF X500K, 11 (2).jpg\nBF X500K, 11 (3).jpg\n" |
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| 3277 | ] |
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| 3280 | "name": "stdout", |
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| 3282 | "text": [ |
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| 3283 | "BF X500K, 11.jpg\nBF X500K, 12 (2).jpg\n" |
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| 3284 | ] |
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| 3287 | "name": "stdout", |
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| 3289 | "text": [ |
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| 3290 | "BF X500K, 12 (3).jpg\nBF X500K, 12.jpg\n" |
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| 3291 | ] |
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| 3294 | "name": "stdout", |
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| 3296 | "text": [ |
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| 3297 | "BF X500K, 13 (3).jpg\nBF X500K, 14.jpg\n" |
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| 3299 | }, |
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| 3300 | { |
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| 3301 | "name": "stdout", |
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| 3303 | "text": [ |
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| 3304 | "BF X500K, 15.jpg\nBF X500K, 16.jpg\n" |
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| 3305 | ] |
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| 3306 | }, |
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| 3307 | { |
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| 3308 | "name": "stdout", |
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| 3310 | "text": [ |
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| 3311 | "K713_300kx_store4_grid1_0005.jpg\nK713_300kx_store4_grid1_0007.jpg\n" |
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| 3312 | ] |
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| 3314 | { |
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| 3315 | "name": "stdout", |
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| 3318 | "K713_300kx_store4_grid1_0009.jpg\nK713_300kx_store4_grid1_0011.jpg\n" |
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| 3319 | ] |
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| 3321 | { |
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| 3322 | "name": "stdout", |
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| 3325 | "K713_300kx_store4_grid1_0013.jpg\nK713_300kx_store4_grid1_0015.jpg\n" |
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| 3329 | "name": "stdout", |
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| 3332 | "K713_300kx_store4_grid1_0017.jpg\nK713_300kx_store4_grid1_0019.jpg" |
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| 3333 | ] |
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| 3335 | { |
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| 3336 | "name": "stdout", |
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| 3337 | "output_type": "stream", |
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| 3338 | "text": [ |
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| 3339 | "\ndalong2.jpg\n" |
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| 3340 | ] |
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| 3341 | }, |
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| 3342 | { |
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| 3343 | "name": "stdout", |
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| 3344 | "output_type": "stream", |
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| 3345 | "text": [ |
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| 3346 | "dalong3.jpg\ng1_backonzone_GBtowardsfrom_0005.jpg\n" |
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| 3347 | ] |
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| 3348 | }, |
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| 3349 | { |
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| 3350 | "name": "stdout", |
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| 3353 | "g1_frontonzone_GBtowardsback_0006.jpg\n" |
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| 3354 | ] |
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| 3357 | "name": "stdout", |
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| 3360 | "g2_midonzone_GBtowardsfront_0005.jpg\n" |
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| 3364 | "name": "stdout", |
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| 3371 | "name": "stdout", |
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| 3410 | ] |
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| 3448 | "name": "stdout", |
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| 3459 | ] |
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| 3462 | "name": "stdout", |
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| 3507 | "grid1_roi2_500kx_0p5nm_haadf1_0053.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0055.jpg\n" |
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| 3508 | ] |
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| 3514 | "grid1_roi2_500kx_0p5nm_haadf1_0057.jpg\n" |
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| 3518 | "name": "stdout", |
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| 3521 | "grid1_roi2_500kx_0p5nm_haadf1_0059.jpg\n" |
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| 3532 | "name": "stdout", |
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| 3535 | "grid1_roi2_500kx_0p5nm_haadf1_0063.jpg\n" |
||
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| 3539 | "name": "stdout", |
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| 3540 | "output_type": "stream", |
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| 3541 | "text": [ |
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| 3542 | "grid1_roi2_500kx_0p5nm_haadf1_0065.jpg\n" |
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| 3544 | }, |
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| 3545 | { |
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| 3546 | "name": "stdout", |
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| 3547 | "output_type": "stream", |
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| 3549 | "grid1_roi2_500kx_0p5nm_haadf1_0067.jpg\n" |
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| 3551 | }, |
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| 3552 | { |
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| 3553 | "name": "stdout", |
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| 3554 | "output_type": "stream", |
||
| 3555 | "text": [ |
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| 3556 | "grid1_roi2_500kx_0p5nm_haadf1_0069.jpg\n" |
||
| 3557 | ] |
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| 3558 | }, |
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| 3559 | { |
||
| 3560 | "name": "stdout", |
||
| 3561 | "output_type": "stream", |
||
| 3562 | "text": [ |
||
| 3563 | "BF X500K, 05 (3).jpg\n" |
||
| 3564 | ] |
||
| 3565 | }, |
||
| 3566 | { |
||
| 3567 | "name": "stdout", |
||
| 3568 | "output_type": "stream", |
||
| 3569 | "text": [ |
||
| 3570 | "0501_300kx_1nm_clhaadf3_0038.jpg\n" |
||
| 3571 | ] |
||
| 3572 | } |
||
| 3573 | ], |
||
| 3574 | "source": [ |
||
| 3575 | "##################################################\n", |
||
| 3576 | "# 1. Define data augmentation operations\n", |
||
| 3577 | "##################################################\n", |
||
| 3578 | "\n", |
||
| 3579 | "trainImageTxtFile = dataPath + \"trainimages.txt\"\n", |
||
| 3580 | "imageList = getImageList(trainImageTxtFile)\n", |
||
| 3581 | "\n", |
||
| 3582 | "current_operation = \"ContrastNormalization\"\n", |
||
| 3583 | "\n", |
||
| 3584 | "# Improve or worsen the contrast of images.\n", |
||
| 3585 | "\n", |
||
| 3586 | "from imgaug import augmenters as iaa\n", |
||
| 3587 | "ia.seed(1)\n", |
||
| 3588 | "seq = iaa.Sequential([\n", |
||
| 3589 | " iaa.ContrastNormalization((0.8, 1.5), per_channel=True)\n", |
||
| 3590 | "])\n", |
||
| 3591 | "\n", |
||
| 3592 | "# seq = iaa.Sequential([ \n", |
||
| 3593 | "# # Adjust contrast by scaling each pixel value to (I_ij/255.0)**gamma.\n", |
||
| 3594 | "# # Values in the range gamma=(0.5, 2.0) seem to be sensible.\n", |
||
| 3595 | "# iaa.GammaContrast((0.5, 1.5))\n", |
||
| 3596 | "# ])\n", |
||
| 3597 | "\n", |
||
| 3598 | "# Make our sequence deterministic.\n", |
||
| 3599 | "# We can now apply it to the image and then to the BBs and it will\n", |
||
| 3600 | "# lead to the same augmentations.\n", |
||
| 3601 | "# IMPORTANT: Call this once PER BATCH, otherwise you will always get the exactly same augmentations for every batch!\n", |
||
| 3602 | "seq_det = seq.to_deterministic()\n", |
||
| 3603 | "\n", |
||
| 3604 | "##################################################\n", |
||
| 3605 | "# 2. loop through images\n", |
||
| 3606 | "##################################################\n", |
||
| 3607 | "\n", |
||
| 3608 | "for img in imageList:\n", |
||
| 3609 | " print(img)\n", |
||
| 3610 | " # Grayscale images must have shape (height, width, 1) each.\n", |
||
| 3611 | " #print(os.listdir(dataPath+'images/'))\n", |
||
| 3612 | " currentimage = skimage.io.imread(dataPath+'images/'+img).astype(np.uint8)\n", |
||
| 3613 | " # gray2rgb() simply duplicates the gray values over the three color channels.\n", |
||
| 3614 | " currentimage = color.gray2rgb(currentimage)\n", |
||
| 3615 | " bbs = bboxSetupInImage(dataPath , img.rstrip('.jpg') + '.txt',currentimage)\n", |
||
| 3616 | " # Augment BBs and images.\n", |
||
| 3617 | " # As we only have one image and list of BBs, we use\n", |
||
| 3618 | " # [image] and [bbs] to turn both into lists (batches) for the# functions and then [0] to reverse that. In a real experiment, your\n", |
||
| 3619 | " # variables would likely already be lists.\n", |
||
| 3620 | " image_aug = seq_det.augment_images([currentimage])[0]\n", |
||
| 3621 | " bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]\n", |
||
| 3622 | " augImgFolder = current_operation + \"Images\"\n", |
||
| 3623 | " augTxTFolder = current_operation + \"TXT\"\n", |
||
| 3624 | " createFolder(augImgFolder)\n", |
||
| 3625 | " createFolder(augTxTFolder)\n", |
||
| 3626 | " # Save aug images and bboxes\n", |
||
| 3627 | " skimage.io.imsave(augImgFolder + '/'+\n", |
||
| 3628 | " img.rstrip('.jpg') + \n", |
||
| 3629 | " '_' + current_operation +\n", |
||
| 3630 | " '.jpg'\n", |
||
| 3631 | " ,image_aug)\n", |
||
| 3632 | " saveAugbbox2TXT(augTxTFolder+ '/'+ \n", |
||
| 3633 | " img.rstrip('.jpg') + \n", |
||
| 3634 | " '_'+ current_operation +\n", |
||
| 3635 | " '.txt',bbs_aug)\n", |
||
| 3636 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 3637 | " # image_before = bbs.draw_on_image(currentimage, thickness=2)\n", |
||
| 3638 | " # image_after = bbs_aug.draw_on_image(image_aug, \n", |
||
| 3639 | " # thickness=2, color=[0, 0, 255])\n", |
||
| 3640 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 3641 | " # plot and save figures before and after data augmentations\n", |
||
| 3642 | " #skimage.io.imshow(image_before)\n", |
||
| 3643 | " #skimage.io.imshow(image_after)\n", |
||
| 3644 | " # for i in range(len(bbs.bounding_boxes)):\n", |
||
| 3645 | " # before = bbs.bounding_boxes[i]\n", |
||
| 3646 | " # after = bbs_aug.bounding_boxes[i]\n", |
||
| 3647 | " # print(\"BB %d: (%.4f, %.4f, %.4f, %.4f) -> (%.4f, %.4f, %.4f, %.4f)\" % (\n", |
||
| 3648 | " # i,\n", |
||
| 3649 | " # before.x1, before.y1, before.x2, before.y2,\n", |
||
| 3650 | " # after.x1, after.y1, after.x2, after.y2)\n", |
||
| 3651 | " # )" |
||
| 3652 | ] |
||
| 3653 | }, |
||
| 3654 | { |
||
| 3655 | "cell_type": "heading", |
||
| 3656 | "metadata": {}, |
||
| 3657 | "level": 2, |
||
| 3658 | "source": [ |
||
| 3659 | "Flip left-right" |
||
| 3660 | ] |
||
| 3661 | }, |
||
| 3662 | { |
||
| 3663 | "cell_type": "code", |
||
| 3664 | "execution_count": 34, |
||
| 3665 | "metadata": {}, |
||
| 3666 | "outputs": [ |
||
| 3667 | { |
||
| 3668 | "name": "stdout", |
||
| 3669 | "output_type": "stream", |
||
| 3670 | "text": [ |
||
| 3671 | "0501_300kx_1nm_clhaadf3_0006.jpg\n" |
||
| 3672 | ] |
||
| 3673 | }, |
||
| 3674 | { |
||
| 3675 | "name": "stdout", |
||
| 3676 | "output_type": "stream", |
||
| 3677 | "text": [ |
||
| 3678 | "0501_300kx_1nm_clhaadf3_0008.jpg\n" |
||
| 3679 | ] |
||
| 3680 | }, |
||
| 3681 | { |
||
| 3682 | "name": "stdout", |
||
| 3683 | "output_type": "stream", |
||
| 3684 | "text": [ |
||
| 3685 | "0501_300kx_1nm_clhaadf3_0012.jpg\n" |
||
| 3686 | ] |
||
| 3687 | }, |
||
| 3688 | { |
||
| 3689 | "name": "stdout", |
||
| 3690 | "output_type": "stream", |
||
| 3691 | "text": [ |
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||
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| 4540 | ] |
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| 4542 | { |
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||
| 4547 | ] |
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| 4549 | { |
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| 4550 | "name": "stdout", |
||
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||
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||
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| 4555 | }, |
||
| 4556 | { |
||
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||
| 4558 | "output_type": "stream", |
||
| 4559 | "text": [ |
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| 4560 | "0501_300kx_1nm_clhaadf3_0038.jpg\n" |
||
| 4561 | ] |
||
| 4562 | } |
||
| 4563 | ], |
||
| 4564 | "source": [ |
||
| 4565 | "##################################################\n", |
||
| 4566 | "# 1. Define data augmentation operations\n", |
||
| 4567 | "##################################################\n", |
||
| 4568 | "\n", |
||
| 4569 | "trainImageTxtFile = dataPath + \"trainimages.txt\"\n", |
||
| 4570 | "imageList = getImageList(trainImageTxtFile)\n", |
||
| 4571 | "\n", |
||
| 4572 | "current_operation = \"Fliplr\"\n", |
||
| 4573 | "\n", |
||
| 4574 | "# Flip/mirror input images horizontally.\n", |
||
| 4575 | " \n", |
||
| 4576 | "from imgaug import augmenters as iaa\n", |
||
| 4577 | "ia.seed(1)\n", |
||
| 4578 | "seq = iaa.Sequential([\n", |
||
| 4579 | " iaa.Fliplr(1.0)\n", |
||
| 4580 | "])\n", |
||
| 4581 | "\n", |
||
| 4582 | "# seq = iaa.Sequential([ \n", |
||
| 4583 | "# # Adjust contrast by scaling each pixel value to (I_ij/255.0)**gamma.\n", |
||
| 4584 | "# # Values in the range gamma=(0.5, 2.0) seem to be sensible.\n", |
||
| 4585 | "# iaa.GammaContrast((0.5, 1.5))\n", |
||
| 4586 | "# ])\n", |
||
| 4587 | "\n", |
||
| 4588 | "# Make our sequence deterministic.\n", |
||
| 4589 | "# We can now apply it to the image and then to the BBs and it will\n", |
||
| 4590 | "# lead to the same augmentations.\n", |
||
| 4591 | "# IMPORTANT: Call this once PER BATCH, otherwise you will always get the exactly same augmentations for every batch!\n", |
||
| 4592 | "seq_det = seq.to_deterministic()\n", |
||
| 4593 | "\n", |
||
| 4594 | "##################################################\n", |
||
| 4595 | "# 2. loop through images\n", |
||
| 4596 | "##################################################\n", |
||
| 4597 | "\n", |
||
| 4598 | "for img in imageList:\n", |
||
| 4599 | " print(img)\n", |
||
| 4600 | " # Grayscale images must have shape (height, width, 1) each.\n", |
||
| 4601 | " #print(os.listdir(dataPath+'images/'))\n", |
||
| 4602 | " currentimage = skimage.io.imread(dataPath+'images/'+img).astype(np.uint8)\n", |
||
| 4603 | " # gray2rgb() simply duplicates the gray values over the three color channels.\n", |
||
| 4604 | " currentimage = color.gray2rgb(currentimage)\n", |
||
| 4605 | " bbs = bboxSetupInImage(dataPath , img.rstrip('.jpg') + '.txt',currentimage)\n", |
||
| 4606 | " # Augment BBs and images.\n", |
||
| 4607 | " # As we only have one image and list of BBs, we use\n", |
||
| 4608 | " # [image] and [bbs] to turn both into lists (batches) for the# functions and then [0] to reverse that. In a real experiment, your\n", |
||
| 4609 | " # variables would likely already be lists.\n", |
||
| 4610 | " image_aug = seq_det.augment_images([currentimage])[0]\n", |
||
| 4611 | " bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]\n", |
||
| 4612 | " augImgFolder = current_operation + \"Images\"\n", |
||
| 4613 | " augTxTFolder = current_operation + \"TXT\"\n", |
||
| 4614 | " createFolder(augImgFolder)\n", |
||
| 4615 | " createFolder(augTxTFolder)\n", |
||
| 4616 | " # Save aug images and bboxes\n", |
||
| 4617 | " skimage.io.imsave(augImgFolder + '/'+\n", |
||
| 4618 | " img.rstrip('.jpg') + \n", |
||
| 4619 | " '_' + current_operation +\n", |
||
| 4620 | " '.jpg'\n", |
||
| 4621 | " ,image_aug)\n", |
||
| 4622 | " saveAugbbox2TXT(augTxTFolder+ '/'+ \n", |
||
| 4623 | " img.rstrip('.jpg') + \n", |
||
| 4624 | " '_'+ current_operation +\n", |
||
| 4625 | " '.txt',bbs_aug)\n", |
||
| 4626 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 4627 | " # image_before = bbs.draw_on_image(currentimage, thickness=2)\n", |
||
| 4628 | " # image_after = bbs_aug.draw_on_image(image_aug, \n", |
||
| 4629 | " # thickness=2, color=[0, 0, 255])\n", |
||
| 4630 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 4631 | " # plot and save figures before and after data augmentations\n", |
||
| 4632 | " #skimage.io.imshow(image_before)\n", |
||
| 4633 | " #skimage.io.imshow(image_after)\n", |
||
| 4634 | " # for i in range(len(bbs.bounding_boxes)):\n", |
||
| 4635 | " # before = bbs.bounding_boxes[i]\n", |
||
| 4636 | " # after = bbs_aug.bounding_boxes[i]\n", |
||
| 4637 | " # print(\"BB %d: (%.4f, %.4f, %.4f, %.4f) -> (%.4f, %.4f, %.4f, %.4f)\" % (\n", |
||
| 4638 | " # i,\n", |
||
| 4639 | " # before.x1, before.y1, before.x2, before.y2,\n", |
||
| 4640 | " # after.x1, after.y1, after.x2, after.y2)\n", |
||
| 4641 | " # )" |
||
| 4642 | ] |
||
| 4643 | }, |
||
| 4644 | { |
||
| 4645 | "cell_type": "heading", |
||
| 4646 | "metadata": {}, |
||
| 4647 | "level": 2, |
||
| 4648 | "source": [ |
||
| 4649 | "Flip up-down" |
||
| 4650 | ] |
||
| 4651 | }, |
||
| 4652 | { |
||
| 4653 | "cell_type": "code", |
||
| 4654 | "execution_count": 35, |
||
| 4655 | "metadata": {}, |
||
| 4656 | "outputs": [ |
||
| 4657 | { |
||
| 4658 | "name": "stdout", |
||
| 4659 | "output_type": "stream", |
||
| 4660 | "text": [ |
||
| 4661 | "0501_300kx_1nm_clhaadf3_0006.jpg\n0501_300kx_1nm_clhaadf3_0008.jpg\n" |
||
| 4662 | ] |
||
| 4663 | }, |
||
| 4664 | { |
||
| 4665 | "name": "stdout", |
||
| 4666 | "output_type": "stream", |
||
| 4667 | "text": [ |
||
| 4668 | "0501_300kx_1nm_clhaadf3_0012.jpg\n" |
||
| 4669 | ] |
||
| 4670 | }, |
||
| 4671 | { |
||
| 4672 | "name": "stdout", |
||
| 4673 | "output_type": "stream", |
||
| 4674 | "text": [ |
||
| 4675 | "0501_300kx_1nm_clhaadf3_0016.jpg\n" |
||
| 4676 | ] |
||
| 4677 | }, |
||
| 4678 | { |
||
| 4679 | "name": "stdout", |
||
| 4680 | "output_type": "stream", |
||
| 4681 | "text": [ |
||
| 4682 | "0501_300kx_1nm_clhaadf3_0018.jpg\n0501_300kx_1nm_clhaadf3_0020.jpg" |
||
| 4683 | ] |
||
| 4684 | }, |
||
| 4685 | { |
||
| 4686 | "name": "stdout", |
||
| 4687 | "output_type": "stream", |
||
| 4688 | "text": [ |
||
| 4689 | "\n" |
||
| 4690 | ] |
||
| 4691 | }, |
||
| 4692 | { |
||
| 4693 | "name": "stdout", |
||
| 4694 | "output_type": "stream", |
||
| 4695 | "text": [ |
||
| 4696 | "0501_300kx_1nm_clhaadf3_0022.jpg\n" |
||
| 4697 | ] |
||
| 4698 | }, |
||
| 4699 | { |
||
| 4700 | "name": "stdout", |
||
| 4701 | "output_type": "stream", |
||
| 4702 | "text": [ |
||
| 4703 | "0501_300kx_1nm_clhaadf3_0024.jpg\n" |
||
| 4704 | ] |
||
| 4705 | }, |
||
| 4706 | { |
||
| 4707 | "name": "stdout", |
||
| 4708 | "output_type": "stream", |
||
| 4709 | "text": [ |
||
| 4710 | "0501_300kx_1nm_clhaadf3_0026.jpg\n" |
||
| 4711 | ] |
||
| 4712 | }, |
||
| 4713 | { |
||
| 4714 | "name": "stdout", |
||
| 4715 | "output_type": "stream", |
||
| 4716 | "text": [ |
||
| 4717 | "0501_300kx_1nm_clhaadf3_0030.jpg\n0501_300kx_1nm_clhaadf3_0031.jpg\n" |
||
| 4718 | ] |
||
| 4719 | }, |
||
| 4720 | { |
||
| 4721 | "name": "stdout", |
||
| 4722 | "output_type": "stream", |
||
| 4723 | "text": [ |
||
| 4724 | "0501_300kx_1nm_clhaadf3_0034.jpg\n0501_300kx_1nm_clhaadf3_0036.jpg\n" |
||
| 4725 | ] |
||
| 4726 | }, |
||
| 4727 | { |
||
| 4728 | "name": "stdout", |
||
| 4729 | "output_type": "stream", |
||
| 4730 | "text": [ |
||
| 4731 | "0501_300kx_1nm_clhaadf3_0040.jpg\n" |
||
| 4732 | ] |
||
| 4733 | }, |
||
| 4734 | { |
||
| 4735 | "name": "stdout", |
||
| 4736 | "output_type": "stream", |
||
| 4737 | "text": [ |
||
| 4738 | "0501_300kx_1nm_clhaadf3_0044.jpg\n" |
||
| 4739 | ] |
||
| 4740 | }, |
||
| 4741 | { |
||
| 4742 | "name": "stdout", |
||
| 4743 | "output_type": "stream", |
||
| 4744 | "text": [ |
||
| 4745 | "0501_300kx_1nm_clhaadf3_0046.jpg\n0501_300kx_1nm_clhaadf3_0048.jpg\n" |
||
| 4746 | ] |
||
| 4747 | }, |
||
| 4748 | { |
||
| 4749 | "name": "stdout", |
||
| 4750 | "output_type": "stream", |
||
| 4751 | "text": [ |
||
| 4752 | "0501_300kx_1nm_clhaadf3_0050.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0002.jpg\n" |
||
| 4753 | ] |
||
| 4754 | }, |
||
| 4755 | { |
||
| 4756 | "name": "stdout", |
||
| 4757 | "output_type": "stream", |
||
| 4758 | "text": [ |
||
| 4759 | "200kV_500kx_p2nm_8cmCL_grain1_0002_n.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0004_n.jpg\n" |
||
| 4760 | ] |
||
| 4761 | }, |
||
| 4762 | { |
||
| 4763 | "name": "stdout", |
||
| 4764 | "output_type": "stream", |
||
| 4765 | "text": [ |
||
| 4766 | "200kV_500kx_p2nm_8cmCL_grain1_0048 - Copy.jpg\n" |
||
| 4767 | ] |
||
| 4768 | }, |
||
| 4769 | { |
||
| 4770 | "name": "stdout", |
||
| 4771 | "output_type": "stream", |
||
| 4772 | "text": [ |
||
| 4773 | "200kV_500kx_p2nm_8cmCL_grain1_0050 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0052 - Copy.jpg\n" |
||
| 4774 | ] |
||
| 4775 | }, |
||
| 4776 | { |
||
| 4777 | "name": "stdout", |
||
| 4778 | "output_type": "stream", |
||
| 4779 | "text": [ |
||
| 4780 | "200kV_500kx_p2nm_8cmCL_grain1_0054 - Copy.jpg\n" |
||
| 4781 | ] |
||
| 4782 | }, |
||
| 4783 | { |
||
| 4784 | "name": "stdout", |
||
| 4785 | "output_type": "stream", |
||
| 4786 | "text": [ |
||
| 4787 | "200kV_500kx_p2nm_8cmCL_grain1_0058 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0060 - Copy.jpg\n" |
||
| 4788 | ] |
||
| 4789 | }, |
||
| 4790 | { |
||
| 4791 | "name": "stdout", |
||
| 4792 | "output_type": "stream", |
||
| 4793 | "text": [ |
||
| 4794 | "200kV_500kx_p2nm_8cmCL_grain1_0062 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0064 - Copy.jpg\n" |
||
| 4795 | ] |
||
| 4796 | }, |
||
| 4797 | { |
||
| 4798 | "name": "stdout", |
||
| 4799 | "output_type": "stream", |
||
| 4800 | "text": [ |
||
| 4801 | "200kV_500kx_p2nm_8cmCL_grain1_0066 - Copy.jpg\n" |
||
| 4802 | ] |
||
| 4803 | }, |
||
| 4804 | { |
||
| 4805 | "name": "stdout", |
||
| 4806 | "output_type": "stream", |
||
| 4807 | "text": [ |
||
| 4808 | "200kV_500kx_p2nm_8cmCL_grain1_0068 - Copy.jpg\n" |
||
| 4809 | ] |
||
| 4810 | }, |
||
| 4811 | { |
||
| 4812 | "name": "stdout", |
||
| 4813 | "output_type": "stream", |
||
| 4814 | "text": [ |
||
| 4815 | "200kV_500kx_p2nm_8cmCL_grain1_0070 - Copy.jpg\n" |
||
| 4816 | ] |
||
| 4817 | }, |
||
| 4818 | { |
||
| 4819 | "name": "stdout", |
||
| 4820 | "output_type": "stream", |
||
| 4821 | "text": [ |
||
| 4822 | "200kV_500kx_p2nm_8cmCL_grain1_0072 - Copy.jpg\n" |
||
| 4823 | ] |
||
| 4824 | }, |
||
| 4825 | { |
||
| 4826 | "name": "stdout", |
||
| 4827 | "output_type": "stream", |
||
| 4828 | "text": [ |
||
| 4829 | "200kV_500kx_p2nm_8cmCL_grain1_0074 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0076 - Copy.jpg\n" |
||
| 4830 | ] |
||
| 4831 | }, |
||
| 4832 | { |
||
| 4833 | "name": "stdout", |
||
| 4834 | "output_type": "stream", |
||
| 4835 | "text": [ |
||
| 4836 | "200kV_500kx_p2nm_8cmCL_grain1_0078 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0080 - Copy.jpg\n" |
||
| 4837 | ] |
||
| 4838 | }, |
||
| 4839 | { |
||
| 4840 | "name": "stdout", |
||
| 4841 | "output_type": "stream", |
||
| 4842 | "text": [ |
||
| 4843 | "200kV_500kx_p2nm_8cmCL_grain1_0084 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0086 - Copy.jpg\n" |
||
| 4844 | ] |
||
| 4845 | }, |
||
| 4846 | { |
||
| 4847 | "name": "stdout", |
||
| 4848 | "output_type": "stream", |
||
| 4849 | "text": [ |
||
| 4850 | "200kV_500kx_p2nm_8cmCL_grain1_0090 - Copy.jpg\n" |
||
| 4851 | ] |
||
| 4852 | }, |
||
| 4853 | { |
||
| 4854 | "name": "stdout", |
||
| 4855 | "output_type": "stream", |
||
| 4856 | "text": [ |
||
| 4857 | "200kV_500kx_p2nm_8cmCL_grain1_0092 - Copy.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0109.jpg\n" |
||
| 4858 | ] |
||
| 4859 | }, |
||
| 4860 | { |
||
| 4861 | "name": "stdout", |
||
| 4862 | "output_type": "stream", |
||
| 4863 | "text": [ |
||
| 4864 | "200kV_500kx_p2nm_8cmCL_grain1_0111.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0129.jpg\n" |
||
| 4865 | ] |
||
| 4866 | }, |
||
| 4867 | { |
||
| 4868 | "name": "stdout", |
||
| 4869 | "output_type": "stream", |
||
| 4870 | "text": [ |
||
| 4871 | "200kV_500kx_p2nm_8cmCL_grain2_0010.jpg\n200kV_500kx_p2nm_8cmCL_grain2_0012.jpg\n" |
||
| 4872 | ] |
||
| 4873 | }, |
||
| 4874 | { |
||
| 4875 | "name": "stdout", |
||
| 4876 | "output_type": "stream", |
||
| 4877 | "text": [ |
||
| 4878 | "200kV_500kx_p2nm_8cmCL_grain3_4_0258.jpg\n2501_300kx_1nm_clhaadf3_0032.jpg\n" |
||
| 4879 | ] |
||
| 4880 | }, |
||
| 4881 | { |
||
| 4882 | "name": "stdout", |
||
| 4883 | "output_type": "stream", |
||
| 4884 | "text": [ |
||
| 4885 | "2501_300kx_1nm_clhaadf3_0034.jpg\n2501_300kx_1nm_clhaadf3_0036.jpg\n" |
||
| 4886 | ] |
||
| 4887 | }, |
||
| 4888 | { |
||
| 4889 | "name": "stdout", |
||
| 4890 | "output_type": "stream", |
||
| 4891 | "text": [ |
||
| 4892 | "2501_300kx_1nm_clhaadf3_0038.jpg\n2501_300kx_1nm_clhaadf3_0040.jpg\n" |
||
| 4893 | ] |
||
| 4894 | }, |
||
| 4895 | { |
||
| 4896 | "name": "stdout", |
||
| 4897 | "output_type": "stream", |
||
| 4898 | "text": [ |
||
| 4899 | "2501_300kx_1nm_clhaadf3_0042.jpg\n" |
||
| 4900 | ] |
||
| 4901 | }, |
||
| 4902 | { |
||
| 4903 | "name": "stdout", |
||
| 4904 | "output_type": "stream", |
||
| 4905 | "text": [ |
||
| 4906 | "2501_300kx_1nm_clhaadf3_0044.jpg\n2501_300kx_1nm_clhaadf3_0046.jpg\n" |
||
| 4907 | ] |
||
| 4908 | }, |
||
| 4909 | { |
||
| 4910 | "name": "stdout", |
||
| 4911 | "output_type": "stream", |
||
| 4912 | "text": [ |
||
| 4913 | "2501_300kx_1nm_clhaadf3_0048.jpg\n2501_300kx_1nm_clhaadf3_0050.jpg\n" |
||
| 4914 | ] |
||
| 4915 | }, |
||
| 4916 | { |
||
| 4917 | "name": "stdout", |
||
| 4918 | "output_type": "stream", |
||
| 4919 | "text": [ |
||
| 4920 | "2501_300kx_1nm_clhaadf3_0052.jpg\n" |
||
| 4921 | ] |
||
| 4922 | }, |
||
| 4923 | { |
||
| 4924 | "name": "stdout", |
||
| 4925 | "output_type": "stream", |
||
| 4926 | "text": [ |
||
| 4927 | "2501_300kx_1nm_clhaadf3_0054.jpg\n2ROI_100kx_4100CL_foil1.jpg\n" |
||
| 4928 | ] |
||
| 4929 | }, |
||
| 4930 | { |
||
| 4931 | "name": "stdout", |
||
| 4932 | "output_type": "stream", |
||
| 4933 | "text": [ |
||
| 4934 | "3ROI_100kx_4100CL_foil1.jpg\n4ROI_100kx_4100CL_foil1.jpg\n" |
||
| 4935 | ] |
||
| 4936 | }, |
||
| 4937 | { |
||
| 4938 | "name": "stdout", |
||
| 4939 | "output_type": "stream", |
||
| 4940 | "text": [ |
||
| 4941 | "5401_300kx_1nm_clhaadf3_0004.jpg\n5401_300kx_1nm_clhaadf3_0006.jpg\n" |
||
| 4942 | ] |
||
| 4943 | }, |
||
| 4944 | { |
||
| 4945 | "name": "stdout", |
||
| 4946 | "output_type": "stream", |
||
| 4947 | "text": [ |
||
| 4948 | "5401_300kx_1nm_clhaadf3_0016.jpg\n5401_300kx_1nm_clhaadf3_0018.jpg\n" |
||
| 4949 | ] |
||
| 4950 | }, |
||
| 4951 | { |
||
| 4952 | "name": "stdout", |
||
| 4953 | "output_type": "stream", |
||
| 4954 | "text": [ |
||
| 4955 | "5401_300kx_1nm_clhaadf3_0022.jpg\n" |
||
| 4956 | ] |
||
| 4957 | }, |
||
| 4958 | { |
||
| 4959 | "name": "stdout", |
||
| 4960 | "output_type": "stream", |
||
| 4961 | "text": [ |
||
| 4962 | "5401_300kx_1nm_clhaadf3_0024.jpg\n5401_300kx_1nm_clhaadf3_0026.jpg\n" |
||
| 4963 | ] |
||
| 4964 | }, |
||
| 4965 | { |
||
| 4966 | "name": "stdout", |
||
| 4967 | "output_type": "stream", |
||
| 4968 | "text": [ |
||
| 4969 | "5401_300kx_1nm_clhaadf3_0030.jpg\n5ROI_100kx_4100CL_foil1 copy.jpg\n" |
||
| 4970 | ] |
||
| 4971 | }, |
||
| 4972 | { |
||
| 4973 | "name": "stdout", |
||
| 4974 | "output_type": "stream", |
||
| 4975 | "text": [ |
||
| 4976 | "6ROI_100kx_4100CL_foil1 copy.jpg\n7ROI_100kx_4100CL_foil1 copy.jpg\n" |
||
| 4977 | ] |
||
| 4978 | }, |
||
| 4979 | { |
||
| 4980 | "name": "stdout", |
||
| 4981 | "output_type": "stream", |
||
| 4982 | "text": [ |
||
| 4983 | "9ROI_100kx_4100CL_foil1.jpg\nBF X500K, 01 (2).jpg\n" |
||
| 4984 | ] |
||
| 4985 | }, |
||
| 4986 | { |
||
| 4987 | "name": "stdout", |
||
| 4988 | "output_type": "stream", |
||
| 4989 | "text": [ |
||
| 4990 | "BF X500K, 01 (3).jpg\nBF X500K, 02 (2).jpg\n" |
||
| 4991 | ] |
||
| 4992 | }, |
||
| 4993 | { |
||
| 4994 | "name": "stdout", |
||
| 4995 | "output_type": "stream", |
||
| 4996 | "text": [ |
||
| 4997 | "BF X500K, 03 (2).jpg\n" |
||
| 4998 | ] |
||
| 4999 | }, |
||
| 5000 | { |
||
| 5001 | "name": "stdout", |
||
| 5002 | "output_type": "stream", |
||
| 5003 | "text": [ |
||
| 5004 | "BF X500K, 04.jpg\nBF X500K, 05 (2).jpg\n" |
||
| 5005 | ] |
||
| 5006 | }, |
||
| 5007 | { |
||
| 5008 | "name": "stdout", |
||
| 5009 | "output_type": "stream", |
||
| 5010 | "text": [ |
||
| 5011 | "BF X500K, 05.jpg\nBF X500K, 06 (3).jpg\n" |
||
| 5012 | ] |
||
| 5013 | }, |
||
| 5014 | { |
||
| 5015 | "name": "stdout", |
||
| 5016 | "output_type": "stream", |
||
| 5017 | "text": [ |
||
| 5018 | "BF X500K, 06.jpg\nBF X500K, 07 (2).jpg\n" |
||
| 5019 | ] |
||
| 5020 | }, |
||
| 5021 | { |
||
| 5022 | "name": "stdout", |
||
| 5023 | "output_type": "stream", |
||
| 5024 | "text": [ |
||
| 5025 | "BF X500K, 08 (2).jpg\n" |
||
| 5026 | ] |
||
| 5027 | }, |
||
| 5028 | { |
||
| 5029 | "name": "stdout", |
||
| 5030 | "output_type": "stream", |
||
| 5031 | "text": [ |
||
| 5032 | "BF X500K, 08 (3).jpg\n" |
||
| 5033 | ] |
||
| 5034 | }, |
||
| 5035 | { |
||
| 5036 | "name": "stdout", |
||
| 5037 | "output_type": "stream", |
||
| 5038 | "text": [ |
||
| 5039 | "BF X500K, 08.jpg\nBF X500K, 10 (2).jpg\n" |
||
| 5040 | ] |
||
| 5041 | }, |
||
| 5042 | { |
||
| 5043 | "name": "stdout", |
||
| 5044 | "output_type": "stream", |
||
| 5045 | "text": [ |
||
| 5046 | "BF X500K, 10 (3).jpg\nBF X500K, 10.jpg\n" |
||
| 5047 | ] |
||
| 5048 | }, |
||
| 5049 | { |
||
| 5050 | "name": "stdout", |
||
| 5051 | "output_type": "stream", |
||
| 5052 | "text": [ |
||
| 5053 | "BF X500K, 11 (2).jpg\nBF X500K, 11 (3).jpg\n" |
||
| 5054 | ] |
||
| 5055 | }, |
||
| 5056 | { |
||
| 5057 | "name": "stdout", |
||
| 5058 | "output_type": "stream", |
||
| 5059 | "text": [ |
||
| 5060 | "BF X500K, 11.jpg\nBF X500K, 12 (2).jpg\n" |
||
| 5061 | ] |
||
| 5062 | }, |
||
| 5063 | { |
||
| 5064 | "name": "stdout", |
||
| 5065 | "output_type": "stream", |
||
| 5066 | "text": [ |
||
| 5067 | "BF X500K, 12 (3).jpg\nBF X500K, 12.jpg\n" |
||
| 5068 | ] |
||
| 5069 | }, |
||
| 5070 | { |
||
| 5071 | "name": "stdout", |
||
| 5072 | "output_type": "stream", |
||
| 5073 | "text": [ |
||
| 5074 | "BF X500K, 13 (3).jpg\nBF X500K, 14.jpg\n" |
||
| 5075 | ] |
||
| 5076 | }, |
||
| 5077 | { |
||
| 5078 | "name": "stdout", |
||
| 5079 | "output_type": "stream", |
||
| 5080 | "text": [ |
||
| 5081 | "BF X500K, 15.jpg\nBF X500K, 16.jpg\n" |
||
| 5082 | ] |
||
| 5083 | }, |
||
| 5084 | { |
||
| 5085 | "name": "stdout", |
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| 5086 | "output_type": "stream", |
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| 5087 | "text": [ |
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| 5088 | "K713_300kx_store4_grid1_0005.jpg\nK713_300kx_store4_grid1_0007.jpg\n" |
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| 5089 | ] |
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| 5090 | }, |
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| 5091 | { |
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| 5092 | "name": "stdout", |
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| 5093 | "output_type": "stream", |
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| 5094 | "text": [ |
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| 5095 | "K713_300kx_store4_grid1_0009.jpg\n" |
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| 5096 | ] |
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| 5097 | }, |
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| 5098 | { |
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| 5099 | "name": "stdout", |
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| 5100 | "output_type": "stream", |
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| 5101 | "text": [ |
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| 5102 | "K713_300kx_store4_grid1_0011.jpg\n" |
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| 5103 | ] |
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| 5104 | }, |
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| 5105 | { |
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| 5106 | "name": "stdout", |
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| 5108 | "text": [ |
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| 5109 | "K713_300kx_store4_grid1_0013.jpg\nK713_300kx_store4_grid1_0015.jpg\n" |
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| 5110 | ] |
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| 5112 | { |
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| 5113 | "name": "stdout", |
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| 5114 | "output_type": "stream", |
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| 5115 | "text": [ |
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| 5116 | "K713_300kx_store4_grid1_0017.jpg\nK713_300kx_store4_grid1_0019.jpg\n" |
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| 5117 | ] |
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| 5118 | }, |
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| 5119 | { |
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| 5120 | "name": "stdout", |
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| 5121 | "output_type": "stream", |
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| 5122 | "text": [ |
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| 5123 | "dalong2.jpg\ndalong3.jpg\n" |
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| 5124 | ] |
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| 5125 | }, |
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| 5126 | { |
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| 5127 | "name": "stdout", |
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| 5128 | "output_type": "stream", |
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| 5129 | "text": [ |
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| 5130 | "g1_backonzone_GBtowardsfrom_0005.jpg\n" |
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| 5131 | ] |
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| 5134 | "name": "stdout", |
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| 5138 | ] |
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| 5139 | }, |
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| 5140 | { |
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| 5141 | "name": "stdout", |
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| 5142 | "output_type": "stream", |
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| 5143 | "text": [ |
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| 5144 | "g2_midonzone_GBtowardsfront_0005.jpg\n" |
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| 5145 | ] |
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| 5146 | }, |
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| 5147 | { |
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| 5148 | "name": "stdout", |
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| 5151 | "g2_midonzone_GBtowardsfront_0034.jpg\n" |
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| 5152 | ] |
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| 5155 | "name": "stdout", |
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| 5158 | "g2_midonzone_GBtowardsmmiddle_0003.jpg\n" |
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| 5159 | ] |
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| 5160 | }, |
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| 5161 | { |
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| 5162 | "name": "stdout", |
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| 5165 | "g2_midonzone_GBtowardsmmiddle_0005.jpg\n" |
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| 5166 | ] |
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| 5168 | { |
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| 5169 | "name": "stdout", |
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| 5172 | "grid1_roi1_500kx_0p5nm_haadf1_0001.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0003.jpg\n" |
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| 5173 | ] |
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| 5176 | "name": "stdout", |
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| 5179 | "grid1_roi1_500kx_0p5nm_haadf1_0005.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0007.jpg\n" |
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| 5180 | ] |
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| 5183 | "name": "stdout", |
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| 5186 | "grid1_roi1_500kx_0p5nm_haadf1_0009.jpg\n" |
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| 5187 | ] |
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| 5190 | "name": "stdout", |
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| 5193 | "grid1_roi1_500kx_0p5nm_haadf1_0011.jpg\n" |
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| 5194 | ] |
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| 5197 | "name": "stdout", |
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| 5200 | "grid1_roi1_500kx_0p5nm_haadf1_0013.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0015.jpg\n" |
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| 5201 | ] |
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| 5204 | "name": "stdout", |
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| 5205 | "output_type": "stream", |
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| 5207 | "grid1_roi1_500kx_0p5nm_haadf1_0017.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0019.jpg\n" |
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| 5208 | ] |
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| 5211 | "name": "stdout", |
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| 5214 | "grid1_roi1_500kx_0p5nm_haadf1_0021.jpg\ngrid1_roi1_500kx_0p5nm_haadf1_0023.jpg\n" |
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| 5215 | ] |
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| 5217 | { |
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| 5218 | "name": "stdout", |
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| 5220 | "text": [ |
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| 5221 | "grid1_roi1_500kx_0p5nm_haadf1_0027.jpg\n" |
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| 5222 | ] |
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| 5225 | "name": "stdout", |
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| 5228 | "grid1_roi1_500kx_0p5nm_haadf1_0029.jpg\n" |
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| 5229 | ] |
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| 5232 | "name": "stdout", |
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| 5235 | "grid1_roi1_500kx_0p5nm_haadf1_0031.jpg\n" |
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| 5236 | ] |
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| 5238 | { |
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| 5239 | "name": "stdout", |
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| 5242 | "grid1_roi2_500kx_0p5nm_haadf1_0035.jpg\n" |
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| 5243 | ] |
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| 5245 | { |
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| 5246 | "name": "stdout", |
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| 5249 | "grid1_roi2_500kx_0p5nm_haadf1_0037.jpg\n" |
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| 5250 | ] |
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| 5251 | }, |
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| 5252 | { |
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| 5253 | "name": "stdout", |
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| 5254 | "output_type": "stream", |
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| 5255 | "text": [ |
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| 5256 | "grid1_roi2_500kx_0p5nm_haadf1_0039.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0041.jpg\n" |
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| 5257 | ] |
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| 5259 | { |
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| 5260 | "name": "stdout", |
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| 5261 | "output_type": "stream", |
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| 5262 | "text": [ |
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| 5263 | "grid1_roi2_500kx_0p5nm_haadf1_0044.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0045.jpg\n" |
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| 5264 | ] |
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| 5265 | }, |
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| 5266 | { |
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| 5267 | "name": "stdout", |
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| 5268 | "output_type": "stream", |
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| 5269 | "text": [ |
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| 5270 | "grid1_roi2_500kx_0p5nm_haadf1_0049.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0051.jpg\n" |
||
| 5271 | ] |
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| 5272 | }, |
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| 5273 | { |
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| 5274 | "name": "stdout", |
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| 5275 | "output_type": "stream", |
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| 5276 | "text": [ |
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| 5277 | "grid1_roi2_500kx_0p5nm_haadf1_0053.jpg\n" |
||
| 5278 | ] |
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| 5279 | }, |
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| 5280 | { |
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| 5281 | "name": "stdout", |
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| 5282 | "output_type": "stream", |
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| 5283 | "text": [ |
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| 5284 | "grid1_roi2_500kx_0p5nm_haadf1_0055.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0057.jpg\n" |
||
| 5285 | ] |
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| 5286 | }, |
||
| 5287 | { |
||
| 5288 | "name": "stdout", |
||
| 5289 | "output_type": "stream", |
||
| 5290 | "text": [ |
||
| 5291 | "grid1_roi2_500kx_0p5nm_haadf1_0059.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0061.jpg\n" |
||
| 5292 | ] |
||
| 5293 | }, |
||
| 5294 | { |
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| 5295 | "name": "stdout", |
||
| 5296 | "output_type": "stream", |
||
| 5297 | "text": [ |
||
| 5298 | "grid1_roi2_500kx_0p5nm_haadf1_0063.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0065.jpg\n" |
||
| 5299 | ] |
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| 5300 | }, |
||
| 5301 | { |
||
| 5302 | "name": "stdout", |
||
| 5303 | "output_type": "stream", |
||
| 5304 | "text": [ |
||
| 5305 | "grid1_roi2_500kx_0p5nm_haadf1_0067.jpg\n" |
||
| 5306 | ] |
||
| 5307 | }, |
||
| 5308 | { |
||
| 5309 | "name": "stdout", |
||
| 5310 | "output_type": "stream", |
||
| 5311 | "text": [ |
||
| 5312 | "grid1_roi2_500kx_0p5nm_haadf1_0069.jpg\nBF X500K, 05 (3).jpg\n" |
||
| 5313 | ] |
||
| 5314 | }, |
||
| 5315 | { |
||
| 5316 | "name": "stdout", |
||
| 5317 | "output_type": "stream", |
||
| 5318 | "text": [ |
||
| 5319 | "0501_300kx_1nm_clhaadf3_0038.jpg\n" |
||
| 5320 | ] |
||
| 5321 | } |
||
| 5322 | ], |
||
| 5323 | "source": [ |
||
| 5324 | "##################################################\n", |
||
| 5325 | "# 1. Define data augmentation operations\n", |
||
| 5326 | "##################################################\n", |
||
| 5327 | "\n", |
||
| 5328 | "trainImageTxtFile = dataPath + \"trainimages.txt\"\n", |
||
| 5329 | "imageList = getImageList(trainImageTxtFile)\n", |
||
| 5330 | "\n", |
||
| 5331 | "current_operation = \"Flipud\"\n", |
||
| 5332 | "\n", |
||
| 5333 | "# Flip/mirror input images vertically.\n", |
||
| 5334 | " \n", |
||
| 5335 | "from imgaug import augmenters as iaa\n", |
||
| 5336 | "ia.seed(1)\n", |
||
| 5337 | "seq = iaa.Sequential([\n", |
||
| 5338 | " iaa.Flipud(1.0)\n", |
||
| 5339 | "])\n", |
||
| 5340 | "\n", |
||
| 5341 | "# seq = iaa.Sequential([ \n", |
||
| 5342 | "# # Adjust contrast by scaling each pixel value to (I_ij/255.0)**gamma.\n", |
||
| 5343 | "# # Values in the range gamma=(0.5, 2.0) seem to be sensible.\n", |
||
| 5344 | "# iaa.GammaContrast((0.5, 1.5))\n", |
||
| 5345 | "# ])\n", |
||
| 5346 | "\n", |
||
| 5347 | "# Make our sequence deterministic.\n", |
||
| 5348 | "# We can now apply it to the image and then to the BBs and it will\n", |
||
| 5349 | "# lead to the same augmentations.\n", |
||
| 5350 | "# IMPORTANT: Call this once PER BATCH, otherwise you will always get the exactly same augmentations for every batch!\n", |
||
| 5351 | "seq_det = seq.to_deterministic()\n", |
||
| 5352 | "\n", |
||
| 5353 | "##################################################\n", |
||
| 5354 | "# 2. loop through images\n", |
||
| 5355 | "##################################################\n", |
||
| 5356 | "\n", |
||
| 5357 | "for img in imageList:\n", |
||
| 5358 | " print(img)\n", |
||
| 5359 | " # Grayscale images must have shape (height, width, 1) each.\n", |
||
| 5360 | " #print(os.listdir(dataPath+'images/'))\n", |
||
| 5361 | " currentimage = skimage.io.imread(dataPath+'images/'+img).astype(np.uint8)\n", |
||
| 5362 | " # gray2rgb() simply duplicates the gray values over the three color channels.\n", |
||
| 5363 | " currentimage = color.gray2rgb(currentimage)\n", |
||
| 5364 | " bbs = bboxSetupInImage(dataPath , img.rstrip('.jpg') + '.txt',currentimage)\n", |
||
| 5365 | " # Augment BBs and images.\n", |
||
| 5366 | " # As we only have one image and list of BBs, we use\n", |
||
| 5367 | " # [image] and [bbs] to turn both into lists (batches) for the# functions and then [0] to reverse that. In a real experiment, your\n", |
||
| 5368 | " # variables would likely already be lists.\n", |
||
| 5369 | " image_aug = seq_det.augment_images([currentimage])[0]\n", |
||
| 5370 | " bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]\n", |
||
| 5371 | " augImgFolder = current_operation + \"Images\"\n", |
||
| 5372 | " augTxTFolder = current_operation + \"TXT\"\n", |
||
| 5373 | " createFolder(augImgFolder)\n", |
||
| 5374 | " createFolder(augTxTFolder)\n", |
||
| 5375 | " # Save aug images and bboxes\n", |
||
| 5376 | " skimage.io.imsave(augImgFolder + '/'+\n", |
||
| 5377 | " img.rstrip('.jpg') + \n", |
||
| 5378 | " '_' + current_operation +\n", |
||
| 5379 | " '.jpg'\n", |
||
| 5380 | " ,image_aug)\n", |
||
| 5381 | " saveAugbbox2TXT(augTxTFolder+ '/'+ \n", |
||
| 5382 | " img.rstrip('.jpg') + \n", |
||
| 5383 | " '_'+ current_operation +\n", |
||
| 5384 | " '.txt',bbs_aug)\n", |
||
| 5385 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 5386 | " # image_before = bbs.draw_on_image(currentimage, thickness=2)\n", |
||
| 5387 | " # image_after = bbs_aug.draw_on_image(image_aug, \n", |
||
| 5388 | " # thickness=2, color=[0, 0, 255])\n", |
||
| 5389 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 5390 | " # plot and save figures before and after data augmentations\n", |
||
| 5391 | " #skimage.io.imshow(image_before)\n", |
||
| 5392 | " #skimage.io.imshow(image_after)\n", |
||
| 5393 | " # for i in range(len(bbs.bounding_boxes)):\n", |
||
| 5394 | " # before = bbs.bounding_boxes[i]\n", |
||
| 5395 | " # after = bbs_aug.bounding_boxes[i]\n", |
||
| 5396 | " # print(\"BB %d: (%.4f, %.4f, %.4f, %.4f) -> (%.4f, %.4f, %.4f, %.4f)\" % (\n", |
||
| 5397 | " # i,\n", |
||
| 5398 | " # before.x1, before.y1, before.x2, before.y2,\n", |
||
| 5399 | " # after.x1, after.y1, after.x2, after.y2)\n", |
||
| 5400 | " # )" |
||
| 5401 | ] |
||
| 5402 | }, |
||
| 5403 | { |
||
| 5404 | "cell_type": "heading", |
||
| 5405 | "metadata": {}, |
||
| 5406 | "level": 2, |
||
| 5407 | "source": [ |
||
| 5408 | "Rotate 90 or 270 degree" |
||
| 5409 | ] |
||
| 5410 | }, |
||
| 5411 | { |
||
| 5412 | "cell_type": "code", |
||
| 5413 | "execution_count": 38, |
||
| 5414 | "metadata": {}, |
||
| 5415 | "outputs": [ |
||
| 5416 | { |
||
| 5417 | "name": "stdout", |
||
| 5418 | "output_type": "stream", |
||
| 5419 | "text": [ |
||
| 5420 | "0501_300kx_1nm_clhaadf3_0006.jpg\n0501_300kx_1nm_clhaadf3_0008.jpg\n" |
||
| 5421 | ] |
||
| 5422 | }, |
||
| 5423 | { |
||
| 5424 | "name": "stdout", |
||
| 5425 | "output_type": "stream", |
||
| 5426 | "text": [ |
||
| 5427 | "0501_300kx_1nm_clhaadf3_0012.jpg\n0501_300kx_1nm_clhaadf3_0016.jpg\n" |
||
| 5428 | ] |
||
| 5429 | }, |
||
| 5430 | { |
||
| 5431 | "name": "stdout", |
||
| 5432 | "output_type": "stream", |
||
| 5433 | "text": [ |
||
| 5434 | "0501_300kx_1nm_clhaadf3_0018.jpg\n0501_300kx_1nm_clhaadf3_0020.jpg\n" |
||
| 5435 | ] |
||
| 5436 | }, |
||
| 5437 | { |
||
| 5438 | "name": "stdout", |
||
| 5439 | "output_type": "stream", |
||
| 5440 | "text": [ |
||
| 5441 | "0501_300kx_1nm_clhaadf3_0022.jpg\n0501_300kx_1nm_clhaadf3_0024.jpg\n" |
||
| 5442 | ] |
||
| 5443 | }, |
||
| 5444 | { |
||
| 5445 | "name": "stdout", |
||
| 5446 | "output_type": "stream", |
||
| 5447 | "text": [ |
||
| 5448 | "0501_300kx_1nm_clhaadf3_0026.jpg\n0501_300kx_1nm_clhaadf3_0030.jpg\n" |
||
| 5449 | ] |
||
| 5450 | }, |
||
| 5451 | { |
||
| 5452 | "name": "stdout", |
||
| 5453 | "output_type": "stream", |
||
| 5454 | "text": [ |
||
| 5455 | "0501_300kx_1nm_clhaadf3_0031.jpg\n0501_300kx_1nm_clhaadf3_0034.jpg\n" |
||
| 5456 | ] |
||
| 5457 | }, |
||
| 5458 | { |
||
| 5459 | "name": "stdout", |
||
| 5460 | "output_type": "stream", |
||
| 5461 | "text": [ |
||
| 5462 | "0501_300kx_1nm_clhaadf3_0036.jpg\n0501_300kx_1nm_clhaadf3_0040.jpg\n" |
||
| 5463 | ] |
||
| 5464 | }, |
||
| 5465 | { |
||
| 5466 | "name": "stdout", |
||
| 5467 | "output_type": "stream", |
||
| 5468 | "text": [ |
||
| 5469 | "0501_300kx_1nm_clhaadf3_0044.jpg\n0501_300kx_1nm_clhaadf3_0046.jpg\n" |
||
| 5470 | ] |
||
| 5471 | }, |
||
| 5472 | { |
||
| 5473 | "name": "stdout", |
||
| 5474 | "output_type": "stream", |
||
| 5475 | "text": [ |
||
| 5476 | "0501_300kx_1nm_clhaadf3_0048.jpg\n" |
||
| 5477 | ] |
||
| 5478 | }, |
||
| 5479 | { |
||
| 5480 | "name": "stdout", |
||
| 5481 | "output_type": "stream", |
||
| 5482 | "text": [ |
||
| 5483 | "0501_300kx_1nm_clhaadf3_0050.jpg\n" |
||
| 5484 | ] |
||
| 5485 | }, |
||
| 5486 | { |
||
| 5487 | "name": "stdout", |
||
| 5488 | "output_type": "stream", |
||
| 5489 | "text": [ |
||
| 5490 | "200kV_500kx_p2nm_8cmCL_grain1_0002.jpg\n200kV_500kx_p2nm_8cmCL_grain1_0002_n.jpg\n" |
||
| 5491 | ] |
||
| 5492 | }, |
||
| 5493 | { |
||
| 5494 | "name": "stdout", |
||
| 5495 | "output_type": "stream", |
||
| 5496 | "text": [ |
||
| 5497 | "200kV_500kx_p2nm_8cmCL_grain1_0004_n.jpg\n" |
||
| 5498 | ] |
||
| 5499 | }, |
||
| 5500 | { |
||
| 5501 | "name": "stdout", |
||
| 5502 | "output_type": "stream", |
||
| 5503 | "text": [ |
||
| 5504 | "200kV_500kx_p2nm_8cmCL_grain1_0048 - Copy.jpg\n" |
||
| 5505 | ] |
||
| 5506 | }, |
||
| 5507 | { |
||
| 5508 | "name": "stdout", |
||
| 5509 | "output_type": "stream", |
||
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| 5959 | "grid1_roi2_500kx_0p5nm_haadf1_0037.jpg\ngrid1_roi2_500kx_0p5nm_haadf1_0039.jpg\n" |
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| 6012 | "name": "stdout", |
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| 6015 | "BF X500K, 05 (3).jpg\n" |
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| 6018 | { |
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| 6019 | "name": "stdout", |
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| 6023 | ] |
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| 6024 | } |
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| 6025 | ], |
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| 6026 | "source": [ |
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| 6027 | "##################################################\n", |
||
| 6028 | "# 1. Define data augmentation operations\n", |
||
| 6029 | "##################################################\n", |
||
| 6030 | "\n", |
||
| 6031 | "trainImageTxtFile = dataPath + \"trainimages.txt\"\n", |
||
| 6032 | "imageList = getImageList(trainImageTxtFile)\n", |
||
| 6033 | "\n", |
||
| 6034 | "current_operation = \"Rot90or270Degree\"\n", |
||
| 6035 | "\n", |
||
| 6036 | "# Rotates all images by 90 or 270 degrees. \n", |
||
| 6037 | " \n", |
||
| 6038 | "from imgaug import augmenters as iaa\n", |
||
| 6039 | "ia.seed(1)\n", |
||
| 6040 | "seq = iaa.Sequential([\n", |
||
| 6041 | " iaa.Rot90([1, 3])\n", |
||
| 6042 | "])\n", |
||
| 6043 | "\n", |
||
| 6044 | "# seq = iaa.Sequential([ \n", |
||
| 6045 | "# # Adjust contrast by scaling each pixel value to (I_ij/255.0)**gamma.\n", |
||
| 6046 | "# # Values in the range gamma=(0.5, 2.0) seem to be sensible.\n", |
||
| 6047 | "# iaa.GammaContrast((0.5, 1.5))\n", |
||
| 6048 | "# ])\n", |
||
| 6049 | "\n", |
||
| 6050 | "# Make our sequence deterministic.\n", |
||
| 6051 | "# We can now apply it to the image and then to the BBs and it will\n", |
||
| 6052 | "# lead to the same augmentations.\n", |
||
| 6053 | "# IMPORTANT: Call this once PER BATCH, otherwise you will always get the exactly same augmentations for every batch!\n", |
||
| 6054 | "seq_det = seq.to_deterministic()\n", |
||
| 6055 | "\n", |
||
| 6056 | "##################################################\n", |
||
| 6057 | "# 2. loop through images\n", |
||
| 6058 | "##################################################\n", |
||
| 6059 | "\n", |
||
| 6060 | "for img in imageList:\n", |
||
| 6061 | " print(img)\n", |
||
| 6062 | " # Grayscale images must have shape (height, width, 1) each.\n", |
||
| 6063 | " #print(os.listdir(dataPath+'images/'))\n", |
||
| 6064 | " currentimage = skimage.io.imread(dataPath+'images/'+img).astype(np.uint8)\n", |
||
| 6065 | " # gray2rgb() simply duplicates the gray values over the three color channels.\n", |
||
| 6066 | " currentimage = color.gray2rgb(currentimage)\n", |
||
| 6067 | " bbs = bboxSetupInImage(dataPath , img.rstrip('.jpg') + '.txt',currentimage)\n", |
||
| 6068 | " # Augment BBs and images.\n", |
||
| 6069 | " # As we only have one image and list of BBs, we use\n", |
||
| 6070 | " # [image] and [bbs] to turn both into lists (batches) for the# functions and then [0] to reverse that. In a real experiment, your\n", |
||
| 6071 | " # variables would likely already be lists.\n", |
||
| 6072 | " image_aug = seq_det.augment_images([currentimage])[0]\n", |
||
| 6073 | " bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]\n", |
||
| 6074 | " augImgFolder = current_operation + \"Images\"\n", |
||
| 6075 | " augTxTFolder = current_operation + \"TXT\"\n", |
||
| 6076 | " createFolder(augImgFolder)\n", |
||
| 6077 | " createFolder(augTxTFolder)\n", |
||
| 6078 | " # Save aug images and bboxes\n", |
||
| 6079 | " skimage.io.imsave(augImgFolder + '/'+\n", |
||
| 6080 | " img.rstrip('.jpg') + \n", |
||
| 6081 | " '_' + current_operation +\n", |
||
| 6082 | " '.jpg'\n", |
||
| 6083 | " ,image_aug)\n", |
||
| 6084 | " saveAugbbox2TXT(augTxTFolder+ '/'+ \n", |
||
| 6085 | " img.rstrip('.jpg') + \n", |
||
| 6086 | " '_'+ current_operation +\n", |
||
| 6087 | " '.txt',bbs_aug)\n", |
||
| 6088 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 6089 | " # image_before = bbs.draw_on_image(currentimage, thickness=2)\n", |
||
| 6090 | " # image_after = bbs_aug.draw_on_image(image_aug, \n", |
||
| 6091 | " # thickness=2, color=[0, 0, 255])\n", |
||
| 6092 | " # image with BBs before/after augmentation (shown below)\n", |
||
| 6093 | " # plot and save figures before and after data augmentations\n", |
||
| 6094 | " #skimage.io.imshow(image_before)\n", |
||
| 6095 | " #skimage.io.imshow(image_after)\n", |
||
| 6096 | " # for i in range(len(bbs.bounding_boxes)):\n", |
||
| 6097 | " # before = bbs.bounding_boxes[i]\n", |
||
| 6098 | " # after = bbs_aug.bounding_boxes[i]\n", |
||
| 6099 | " # print(\"BB %d: (%.4f, %.4f, %.4f, %.4f) -> (%.4f, %.4f, %.4f, %.4f)\" % (\n", |
||
| 6100 | " # i,\n", |
||
| 6101 | " # before.x1, before.y1, before.x2, before.y2,\n", |
||
| 6102 | " # after.x1, after.y1, after.x2, after.y2)\n", |
||
| 6103 | " # )\n", |
||
| 6104 | "\n" |
||
| 6105 | ] |
||
| 6106 | }, |
||
| 6107 | { |
||
| 6108 | "cell_type": "heading", |
||
| 6109 | "metadata": {}, |
||
| 6110 | "level": 1, |
||
| 6111 | "source": [ |
||
| 6112 | "## End" |
||
| 6113 | ] |
||
| 6114 | }, |
||
| 6115 | { |
||
| 6116 | "cell_type": "code", |
||
| 6117 | "execution_count": 38, |
||
| 6118 | "metadata": {}, |
||
| 6119 | "outputs": [], |
||
| 6120 | "source": [ |
||
| 6121 | "" |
||
| 6122 | ] |
||
| 6123 | } |
||
| 6124 | ], |
||
| 6125 | "metadata": { |
||
| 6126 | "kernelspec": { |
||
| 6127 | "display_name": "Python 2", |
||
| 6128 | "language": "python", |
||
| 6129 | "name": "python2" |
||
| 6130 | }, |
||
| 6131 | "language_info": { |
||
| 6132 | "codemirror_mode": { |
||
| 6133 | "name": "ipython", |
||
| 6134 | "version": 2 |
||
| 6135 | }, |
||
| 6136 | "file_extension": ".py", |
||
| 6137 | "mimetype": "text/x-python", |
||
| 6138 | "name": "python", |
||
| 6139 | "nbconvert_exporter": "python", |
||
| 6140 | "pygments_lexer": "ipython2", |
||
| 6141 | "version": "2.7.6" |
||
| 6142 | } |
||
| 6143 | }, |
||
| 6144 | "nbformat": 4, |
||
| 6145 | "nbformat_minor": 0 |
||
| 6146 | } |