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+# Preparing THUMOS'14
+
+## Introduction
+
+<!-- [DATASET] -->
+
+```BibTeX
+@misc{THUMOS14,
+    author = {Jiang, Y.-G. and Liu, J. and Roshan Zamir, A. and Toderici, G. and Laptev,
+    I. and Shah, M. and Sukthankar, R.},
+    title = {{THUMOS} Challenge: Action Recognition with a Large
+    Number of Classes},
+    howpublished = "\url{http://crcv.ucf.edu/THUMOS14/}",
+    Year = {2014}
+}
+```
+
+For basic dataset information, you can refer to the dataset [website](https://www.crcv.ucf.edu/THUMOS14/download.html).
+Before we start, please make sure that the directory is located at `$MMACTION2/tools/data/thumos14/`.
+
+## Step 1. Prepare Annotations
+
+First of all, run the following script to prepare annotations.
+
+```shell
+cd $MMACTION2/tools/data/thumos14/
+bash download_annotations.sh
+```
+
+## Step 2. Prepare Videos
+
+Then, you can run the following script to prepare videos.
+
+```shell
+cd $MMACTION2/tools/data/thumos14/
+bash download_videos.sh
+```
+
+## Step 3. Extract RGB and Flow
+
+This part is **optional** if you only want to use the video loader.
+
+Before extracting, please refer to [install.md](/docs/install.md) for installing [denseflow](https://github.com/open-mmlab/denseflow).
+
+If you have plenty of SSD space, then we recommend extracting frames there for better I/O performance.
+
+You can run the following script to soft link SSD.
+
+```shell
+# execute these two line (Assume the SSD is mounted at "/mnt/SSD/")
+mkdir /mnt/SSD/thumos14_extracted/
+ln -s /mnt/SSD/thumos14_extracted/ ../data/thumos14/rawframes/
+```
+
+If you only want to play with RGB frames (since extracting optical flow can be time-consuming), consider running the following script to extract **RGB-only** frames using denseflow.
+
+```shell
+cd $MMACTION2/tools/data/thumos14/
+bash extract_rgb_frames.sh
+```
+
+If you didn't install denseflow, you can still extract RGB frames using OpenCV by the following script, but it will keep the original size of the images.
+
+```shell
+cd $MMACTION2/tools/data/thumos14/
+bash extract_rgb_frames_opencv.sh
+```
+
+If both are required, run the following script to extract frames.
+
+```shell
+cd $MMACTION2/tools/data/thumos14/
+bash extract_frames.sh tvl1
+```
+
+## Step 4. Fetch File List
+
+This part is **optional** if you do not use SSN model.
+
+You can run the follow script to fetch pre-computed tag proposals.
+
+```shell
+cd $MMACTION2/tools/data/thumos14/
+bash fetch_tag_proposals.sh
+```
+
+## Step 5. Denormalize Proposal File
+
+This part is **optional** if you do not use SSN model.
+
+You can run the follow script to denormalize pre-computed tag proposals according to
+actual number of local rawframes.
+
+```shell
+cd $MMACTION2/tools/data/thumos14/
+bash denormalize_proposal_file.sh
+```
+
+## Step 6. Check Directory Structure
+
+After the whole data process for THUMOS'14 preparation,
+you will get the rawframes (RGB + Flow), videos and annotation files for THUMOS'14.
+
+In the context of the whole project (for THUMOS'14 only), the folder structure will look like:
+
+```
+mmaction2
+├── mmaction
+├── tools
+├── configs
+├── data
+│   ├── thumos14
+│   │   ├── proposals
+│   │   |   ├── thumos14_tag_val_normalized_proposal_list.txt
+│   │   |   ├── thumos14_tag_test_normalized_proposal_list.txt
+│   │   ├── annotations_val
+│   │   ├── annotations_test
+│   │   ├── videos
+│   │   │   ├── val
+│   │   │   |   ├── video_validation_0000001.mp4
+│   │   │   |   ├── ...
+│   │   |   ├── test
+│   │   │   |   ├── video_test_0000001.mp4
+│   │   │   |   ├── ...
+│   │   ├── rawframes
+│   │   │   ├── val
+│   │   │   |   ├── video_validation_0000001
+|   │   │   |   │   ├── img_00001.jpg
+|   │   │   |   │   ├── img_00002.jpg
+|   │   │   |   │   ├── ...
+|   │   │   |   │   ├── flow_x_00001.jpg
+|   │   │   |   │   ├── flow_x_00002.jpg
+|   │   │   |   │   ├── ...
+|   │   │   |   │   ├── flow_y_00001.jpg
+|   │   │   |   │   ├── flow_y_00002.jpg
+|   │   │   |   │   ├── ...
+│   │   │   |   ├── ...
+│   │   |   ├── test
+│   │   │   |   ├── video_test_0000001
+```
+
+For training and evaluating on THUMOS'14, please refer to [getting_started.md](/docs/getting_started.md).