--- a
+++ b/Colab Notebooks/rsna-pneumonia-detection-challenge-DeepTek-Task.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"code","execution_count":11,"metadata":{"id":"HOwUlBZR8blE","executionInfo":{"status":"ok","timestamp":1660308353542,"user_tz":-330,"elapsed":2817,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"}}},"outputs":[],"source":["import os,sys\n","import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from sklearn.model_selection import train_test_split\n","import pydicom\n","from pydicom import dcmread\n","from PIL import Image\n","import cv2"]},{"cell_type":"markdown","source":["pathLabels = \"stage_2_train_labels.csv\"\n","classInfoPath = \"stage_2_detailed_class_info.csv\"\n","\n","labels = pd.read_csv(pathLabels)\n","classInfo = pd.read_csv(classInfoPath)"],"metadata":{"id":"Old0B-px9JKX"}},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":682,"status":"error","timestamp":1660308381854,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"lm_izi4q9WNk","outputId":"bd0f41a3-b235-499c-a4f4-ce95ecbe0081"},"outputs":[{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-14-d51c7a5e9438>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmerged\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmerge\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mleft\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclassInfo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mright\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhow\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'left'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mon\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'patientId'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Merge\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mmerged\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmerged\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop_duplicates\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Remove duplicates\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mmerged\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'classInfo' is not defined"]}],"source":["merged = pd.merge(left = classInfo, right = labels, how = 'left', on = 'patientId') # Merge\n","merged = merged.drop_duplicates() # Remove duplicates\n","\n","merged.head()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":536,"status":"ok","timestamp":1660240276649,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"IzJa_sET9XyI","outputId":"19c6c458-e693-4ae7-f469-a2aa7f6d11e2"},"outputs":[{"data":{"text/plain":["0    11821\n","Name: Target, dtype: int64"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["a = merged.loc[merged['class'] == \"No Lung Opacity / Not Normal\"]\n","a['Target'].value_counts()"]},{"cell_type":"markdown","metadata":{"id":"7dkm3uGeFn-q"},"source":["All patients with No lung capacity are on target 0 and do not have chances of pneumonia"]},{"cell_type":"markdown","metadata":{"id":"Ic6lhYEv_oOo"},"source":["There are no null values"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":531,"status":"ok","timestamp":1660240335830,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"EVzEZ3SR__Pp","outputId":"dbfb0a26-695b-423a-9073-ea8429d65cc7"},"outputs":[{"name":"stdout","output_type":"stream","text":["patientId : ['0004cfab-14fd-4e49-80ba-63a80b6bddd6'\n"," '00313ee0-9eaa-42f4-b0ab-c148ed3241cd'\n"," '00322d4d-1c29-4943-afc9-b6754be640eb' ...\n"," 'c1edf42b-5958-47ff-a1e7-4f23d99583ba'\n"," 'c1f6b555-2eb1-4231-98f6-50a963976431'\n"," 'c1f7889a-9ea9-4acb-b64c-b737c929599a']\n","x : [ nan 264. 562. 323. 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455. 302.\n"," 606. 652. 636. 716. 529. 735. 134. 396. 281. 262. 568. 591. 450. 222.\n"," 142. 250. 395. 391. 582. 388. 573. 188. 456. 341. 463. 495. 166. 255.\n"," 184. 287. 118. 459. 383. 554. 168. 563. 569. 152. 525. 432. 318. 332.\n"," 503. 426. 199. 169. 604. 102. 125.  88. 398. 227. 183. 447. 179. 280.\n"," 385. 202. 362. 343. 686. 709. 320. 259. 141. 180. 247. 642. 678. 239.\n"," 372. 234. 218. 647. 608. 217. 738. 689. 515. 760. 181. 195. 178. 465.\n"," 550. 518. 377. 491. 442. 490. 435. 325. 401. 335. 531. 308. 123. 113.\n"," 251. 197. 150. 291. 120. 252.  64. 270. 509. 449. 458. 209. 369. 131.\n"," 127. 140. 149. 147. 124. 114.  95. 448. 246. 283. 115. 143. 196. 514.\n"," 204. 668. 122. 339. 257. 549. 621. 207. 248. 187. 390. 304. 211. 373.\n"," 277. 138. 260. 346. 119. 110.  76. 208. 389. 534. 666. 276. 579. 345.\n"," 126. 734. 310. 337. 367. 539. 488. 292. 607. 417. 154. 361. 375. 363.\n"," 421. 556. 587. 469. 434. 132. 771. 787. 381. 512. 344. 268. 697. 533.\n"," 454. 477. 603. 718. 264. 288. 489. 640. 659. 662. 336. 648. 231. 553.\n"," 561. 326. 392. 295. 313. 366. 350. 220. 409. 425. 415. 359. 685. 431.\n"," 559. 618. 513. 632. 221. 786. 673. 148. 294. 151.  85. 106.  70. 155.\n"," 116. 170. 107. 159. 105. 128. 356. 173. 129.  99. 200. 461. 672. 303.\n"," 404. 136.  65. 364. 157. 267. 572. 497. 153. 212.  57. 548. 167.  90.\n"," 224. 189.  84.  86.  62. 117. 500.  82. 321.  68. 103.  91.  92. 322.\n"," 112. 229. 130. 185. 156. 213. 175. 298. 405. 182. 190. 423. 111. 285.\n","  74. 412. 504. 714. 306. 299. 452. 631. 524. 228. 651. 585. 696. 790.\n"," 394. 474.  75. 617. 406.  98.  80.  52. 329. 192. 164. 438. 555. 430.\n"," 679. 537. 562. 314. 353. 570. 596. 646. 215. 739. 376. 717. 628.  67.\n"," 586. 433. 400. 693. 669. 538. 564. 358. 468. 471. 742. 680. 214. 540.\n"," 371. 730. 480. 637. 599. 467. 416. 411. 470. 368. 542. 552. 206. 654.\n"," 626. 780. 413. 437. 661.  94. 174. 566. 610. 473. 507. 543. 613. 743.\n"," 360. 230. 627. 583. 622. 639. 629. 638. 816. 852. 589. 592. 440. 740.\n"," 410. 615. 457.  83. 643. 650. 595. 707. 567. 633. 793. 942. 558. 486.\n"," 708. 588. 612. 867. 378. 737. 541. 422.  73. 600. 625. 769. 663. 286.\n","  60. 446. 516. 365. 108. 535. 384. 399. 485. 609. 472. 590. 460. 593.\n"," 407. 560. 565.  58.  54. 517. 511.  47. 237.  78. 462.  45.  71.  63.\n"," 551.  46. 601. 557. 671.  61. 664. 100.  81.  79. 770. 724. 788. 692.\n"," 580. 723. 670. 614. 644. 656. 605. 687. 704. 602. 665. 705. 657. 681.\n"," 805. 817. 699. 792. 846. 761. 728. 578. 702. 581. 815. 773. 658. 688.\n"," 720. 690. 851. 767. 777. 710. 746. 750. 695. 382. 803. 725. 783. 701.\n","  72. 691. 700. 616. 727. 791. 765. 847. 711.  53.  59.  66.]\n","Target : [0 1]\n"]}],"source":["#Checking for wrong entries like symbols -,?,#,*,etc.\n","for col in labels.columns:\n","    print('{} : {}'.format(col,labels[col].unique()))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":81},"executionInfo":{"elapsed":994,"status":"ok","timestamp":1660240340942,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"ocXAf-TdA1T_","outputId":"18817ff9-09a9-4593-c838-5625a3c7878d"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-1abde7a7-6645-4038-a40b-4a3671ed43b7\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>patientId</th>\n","      <th>x</th>\n","      <th>y</th>\n","      <th>width</th>\n","      <th>height</th>\n","      <th>Target</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0004cfab-14fd-4e49-80ba-63a80b6bddd6</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1abde7a7-6645-4038-a40b-4a3671ed43b7')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-1abde7a7-6645-4038-a40b-4a3671ed43b7');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["                              patientId   x   y  width  height  Target\n","0  0004cfab-14fd-4e49-80ba-63a80b6bddd6 NaN NaN    NaN     NaN       0"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["labels.head(1)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1660240344110,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"xq4Tb0n8Oa9b","outputId":"6beedcde-58a6-45b8-9061-1316729c0201"},"outputs":[{"data":{"text/plain":["No Lung Opacity / Not Normal    11821\n","Lung Opacity                     9555\n","Normal                           8851\n","Name: class, dtype: int64"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["merged['class'].value_counts()"]},{"cell_type":"markdown","metadata":{"id":"kndpp_42Pqx6"},"source":["Almost Evenly distributed classes"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"DUruxcbjPxAc"},"outputs":[],"source":["boxNums = merged.dropna()[['x', 'y', 'width', 'height']].copy() # Make a copy of just the boxes\n","\n","# Calculate x2 & y2 coordinates\n","boxNums['x2'] = boxNums['x'] + boxNums['width']\n","boxNums['y2'] = boxNums['y'] + boxNums['height']\n","\n","# Calculate x2 & y2 centres\n","boxNums['xCentre'] = boxNums['x'] + boxNums['width']/2\n","boxNums['yCentre'] = boxNums['y'] + boxNums['height']/2\n","\n","# Calculate area of the box\n","boxNums['boxArea'] = boxNums['width'] * boxNums['height']"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1w40CiVrplRC"},"outputs":[],"source":["df[~df.x.isna()]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":588,"status":"ok","timestamp":1660240349854,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"9DLotafLP6dq","outputId":"66c3a3ff-ac0f-4cdc-8654-b754c4cccafe"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-a5165a63-9d3b-4cf6-9986-6a3bc0cef859\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>x</th>\n","      <th>y</th>\n","      <th>width</th>\n","      <th>height</th>\n","      <th>x2</th>\n","      <th>y2</th>\n","      <th>xCentre</th>\n","      <th>yCentre</th>\n","      <th>boxArea</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>4</th>\n","      <td>264.0</td>\n","      <td>152.0</td>\n","      <td>213.0</td>\n","      <td>379.0</td>\n","      <td>477.0</td>\n","      <td>531.0</td>\n","      <td>370.5</td>\n","      <td>341.5</td>\n","      <td>80727.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>562.0</td>\n","      <td>152.0</td>\n","      <td>256.0</td>\n","      <td>453.0</td>\n","      <td>818.0</td>\n","      <td>605.0</td>\n","      <td>690.0</td>\n","      <td>378.5</td>\n","      <td>115968.0</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>323.0</td>\n","      <td>577.0</td>\n","      <td>160.0</td>\n","      <td>104.0</td>\n","      <td>483.0</td>\n","      <td>681.0</td>\n","      <td>403.0</td>\n","      <td>629.0</td>\n","      <td>16640.0</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>695.0</td>\n","      <td>575.0</td>\n","      <td>162.0</td>\n","      <td>137.0</td>\n","      <td>857.0</td>\n","      <td>712.0</td>\n","      <td>776.0</td>\n","      <td>643.5</td>\n","      <td>22194.0</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>288.0</td>\n","      <td>322.0</td>\n","      <td>94.0</td>\n","      <td>135.0</td>\n","      <td>382.0</td>\n","      <td>457.0</td>\n","      <td>335.0</td>\n","      <td>389.5</td>\n","      <td>12690.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a5165a63-9d3b-4cf6-9986-6a3bc0cef859')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["        x      y  width  height     x2     y2  xCentre  yCentre   boxArea\n","4   264.0  152.0  213.0   379.0  477.0  531.0    370.5    341.5   80727.0\n","5   562.0  152.0  256.0   453.0  818.0  605.0    690.0    378.5  115968.0\n","10  323.0  577.0  160.0   104.0  483.0  681.0    403.0    629.0   16640.0\n","11  695.0  575.0  162.0   137.0  857.0  712.0    776.0    643.5   22194.0\n","18  288.0  322.0   94.0   135.0  382.0  457.0    335.0    389.5   12690.0"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["boxNums.head(5)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":607},"executionInfo":{"elapsed":1092,"status":"ok","timestamp":1660240353009,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"Dp-e7lq0SqTo","outputId":"57851976-fe9f-4ba6-c750-b8bb297761ca"},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 720x720 with 4 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["pairs = [(boxNums['x'], boxNums['y']), (boxNums['x2'], boxNums['y2']), (boxNums['width'], boxNums['height']), \n","         (boxNums['xCentre'], boxNums['yCentre'])]\n","\n","axis = [(0, 0), (0, 1), (1, 0), (1,1)]\n","\n","fig, axs = plt.subplots(2, 2, figsize=(10, 10))\n","\n","for i in range(4):\n","    axs[axis[i][0], axis[i][1]].hist2d(pairs[i][0], pairs[i][1], bins=30)\n","\n","# Set titles\n","axs[0,0].set_title('X vs Y')\n","axs[0,1].set_title('X2 vs Y2')\n","axs[1,0].set_title('Width vs Height')\n","axs[1,1].set_title('X Centre vs Y Centre')\n","\n","plt.show()   "]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":281},"executionInfo":{"elapsed":582,"status":"ok","timestamp":1660240360453,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"n19dP8W_S43N","outputId":"6fa0b05d-dc06-4203-b22e-350aaccc6ee4"},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 1008x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Take a look at the distribution of box area\n","boxNums['boxArea'].plot(kind='hist',\n","                        bins=25,  \n","                        figsize=(14,4), \n","                        title='Area Distribution of boxes for a Positive target')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"RWuUKhiMaK8p"},"outputs":[],"source":["def get_names(path):\n","    names = []\n","    for root, dirnames, filenames in os.walk(path):\n","        for filename in filenames:\n","            _, ext = os.path.splitext(filename)\n","            if ext in ['.dcm']:\n","                names.append(filename)\n","    \n","    return names\n","\n","def convert_dcm_jpg(name):\n","    \n","    im = pydicom.dcmread('stage_2_train_images/'+name)\n","\n","    im = im.pixel_array.astype(float)\n","\n","    rescaled_image = (np.maximum(im,0)/im.max())*255 # float pixels\n","    final_image = np.uint8(rescaled_image) # integers pixels\n","\n","    final_image = Image.fromarray(final_image)\n","\n","    return final_image"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"background_save":true},"id":"XiiuGUpb64na"},"outputs":[],"source":["names = get_names('stage_2_train_images/')\n","names\n","for name in names:\n","    image = convert_dcm_jpg(name)\n","    image.save('/content/drive/MyDrive/Colab Notebooks/converted_train_images/'+name+'.jpg')"]},{"cell_type":"code","execution_count":15,"metadata":{"executionInfo":{"elapsed":1723,"status":"ok","timestamp":1660308461720,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"WOQc3mwTSGW4"},"outputs":[],"source":["import os\n","images = os.listdir('/content/drive/MyDrive/Colab Notebooks/converted_train_images')"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1660308465862,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"En5b5tgcqHWQ","outputId":"5902e289-b7ca-4b2b-80d1-e606c4033503"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["26684"]},"metadata":{},"execution_count":16}],"source":["len(images)"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"executionInfo":{"elapsed":1690,"status":"ok","timestamp":1660309196966,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"R9cms6EHq6Ir","outputId":"69e29b28-0002-4bd5-d7fc-88d46bbf0612"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.image.AxesImage at 0x7fe203daa110>"]},"metadata":{},"execution_count":19},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 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\n"},"metadata":{"needs_background":"light"}}],"source":["import cv2\n","import matplotlib.pyplot as plt\n","base_path = '/content/drive/MyDrive/Colab Notebooks/converted_train_images'\n","img = cv2.imread(base_path +'/'+images[4])\n","plt.imshow(img)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":565,"status":"ok","timestamp":1660309199072,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"0OBnZiZjrQdh","outputId":"4a7717b1-507f-4abe-a44e-b2633bdcaa4e"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(1024, 1024, 3)"]},"metadata":{},"execution_count":20}],"source":["img.shape"]},{"cell_type":"code","execution_count":21,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1660309200354,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"5Pu9vgBPr0Ag"},"outputs":[],"source":["import numpy as np\n","mask = np.zeros((1024,1024,))"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"executionInfo":{"elapsed":453,"status":"ok","timestamp":1660309202334,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"E5G6RTYYsCTo","outputId":"064c1cee-f4dd-4232-8140-4c652ab457bb"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.image.AxesImage at 0x7fe203198110>"]},"metadata":{},"execution_count":22},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["plt.imshow(mask)"]},{"cell_type":"code","execution_count":25,"metadata":{"executionInfo":{"elapsed":527,"status":"ok","timestamp":1660309270755,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"juWc1PBvsKO9"},"outputs":[],"source":["x1,y1,w,h=264,152,213,379\n","mask[x1:x1+w,y1:y1+h]=1"]},{"cell_type":"code","execution_count":26,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"executionInfo":{"elapsed":460,"status":"ok","timestamp":1660309272656,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"},"user_tz":-330},"id":"KL9y2qeotGfQ","outputId":"b93b8c1e-fe54-4fa7-d586-d611144ec6f1"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.image.AxesImage at 0x7fe20307b510>"]},"metadata":{},"execution_count":26},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 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bKZvT5iHg7CTHtp+Fg7VO3bw+y/4X73k747jg1HkRaAODTzW+CfzlhGv5TQaHfncAX21fGxicx94M3AfcBKxs4wN8vNX+NWBuAjW/lp9+2nIa8J8MnrPyT8Dy1n90W55v608bc42/Buxu8/rPDK70T+WcAn8FfB24E/gHYPk0zCtwFYPrMPsZHM1t7plD4A9bvfPARc9n396eLqnLtJ62SJpyhoekLoaHpC6Gh6QuhoekLoaHpC6Gh6Qu/wcRhvtJjKAYjAAAAABJRU5ErkJggg==\n"},"metadata":{"needs_background":"light"}}],"source":["plt.imshow(mask)"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"executionInfo":{"elapsed":1417,"status":"ok","timestamp":1660309316503,"user":{"displayName":"Satvik 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\n"},"metadata":{"needs_background":"light"}}],"source":["plt.imshow(img,cmap='gray')\n","plt.imshow(mask,cmap='gray',alpha=0.3)"]},{"cell_type":"code","source":["plt.savefig('my_plot.jpg')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":34},"id":"ilWkaesKJb2a","executionInfo":{"status":"ok","timestamp":1660309369636,"user_tz":-330,"elapsed":480,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"}},"outputId":"09e851b7-f99c-425a-a4d5-a6598ff40960"},"execution_count":29,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 0 Axes>"]},"metadata":{}}]},{"cell_type":"code","source":["class_info=pd.read_csv('/content/stage_2_detailed_class_info.csv')\n","class_info.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"VushLk9KIYRL","executionInfo":{"status":"ok","timestamp":1660309106125,"user_tz":-330,"elapsed":568,"user":{"displayName":"Satvik Maheshwari","userId":"09768921556990219284"}},"outputId":"934b53da-0f60-49b2-d5ab-93f93bc61ac4"},"execution_count":18,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                              patientId                         class\n","0  0004cfab-14fd-4e49-80ba-63a80b6bddd6  No Lung Opacity / Not Normal\n","1  00313ee0-9eaa-42f4-b0ab-c148ed3241cd  No Lung Opacity / Not Normal\n","2  00322d4d-1c29-4943-afc9-b6754be640eb  No Lung Opacity / Not Normal\n","3  003d8fa0-6bf1-40ed-b54c-ac657f8495c5                        Normal\n","4  00436515-870c-4b36-a041-de91049b9ab4                  Lung Opacity"],"text/html":["\n","  <div id=\"df-5a3f0225-2af3-43a2-8280-2b735a626616\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>patientId</th>\n","      <th>class</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0004cfab-14fd-4e49-80ba-63a80b6bddd6</td>\n","      <td>No Lung Opacity / Not Normal</td>\n","    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