For basic dataset information, you can refer to the dataset website.
Before we start, please make sure that the directory is located at $MMACTION/tools/data/ucf101/
.
First of all, you can run the following script to prepare annotations.
bash download_annotations.sh
Then, you can run the following script to prepare videos.
bash download_videos.sh
This part is optional if you only want to use the video loader.
Before extracting, please refer to install.md for installing dense_flow.
If you have plenty of SSD space, then we recommend extracting frames there for better I/O performance. The extracted frames (RGB + Flow) will take up about 100GB.
You can run the following script to soft link SSD.
# execute these two line (Assume the SSD is mounted at "/mnt/SSD/")
mkdir /mnt/SSD/ucf101_extracted/
ln -s /mnt/SSD/ucf101_extracted/ ../../../data/ucf101/rawframes
If you didn't install dense_flow in the installation or 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.
bash extract_rgb_frames.sh
If both are required, run the following script to extract frames using "tvl1" algorithm.
bash extract_frames.sh
you can run the follow script to generate file list in the format of rawframes and videos.
bash generate_{rawframes, videos}_filelist.sh
After the whole data process for UCF-101 preparation, you will get the rawframes (RGB + Flow), videos and annotation files for UCF-101.
In the context of the whole project (for UCF-101 only), the folder structure will look like:
mmaction
├── mmaction
├── tools
├── configs
├── data
│ ├── ucf101
│ │ ├── ucf101_{train,val}_split_{1,2,3}_rawframes.txt
│ │ ├── ucf101_{train,val}_split_{1,2,3}_videos.txt
│ │ ├── annotations
│ │ ├── videos
│ │ │ ├── ApplyEyeMakeup
│ │ │ │ ├── v_ApplyEyeMakeup_g01_c01.avi
│ │ │ ├── YoYo
│ │ │ │ ├── v_YoYo_g25_c05.avi
│ │ ├── rawframes
│ │ │ ├── ApplyEyeMakeup
│ │ │ │ ├── v_ApplyEyeMakeup_g01_c01
│ │ │ │ │ ├── img_00001.jpg
│ │ │ │ │ ├── img_00002.jpg
│ │ │ │ │ ├── ...
│ │ │ │ │ ├── flow_x_00001.jpg
│ │ │ │ │ ├── flow_x_00002.jpg
│ │ │ │ │ ├── ...
│ │ │ │ │ ├── flow_y_00001.jpg
│ │ │ │ │ ├── flow_y_00002.jpg
│ │ │ ├── ...
│ │ │ ├── YoYo
│ │ │ │ ├── v_YoYo_g01_c01
│ │ │ │ ├── ...
│ │ │ │ ├── v_YoYo_g25_c05
For training and evaluating on UCF-101, please refer to getting_started.md.