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# custom | ||
mmaction/version.py | ||
data | ||
/data | ||
.vscode | ||
.idea | ||
*.pkl | ||
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# Preparing UCF-101 | ||
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For basic dataset information, you can refer to the dataset [website](https://www.crcv.ucf.edu/data/UCF101.php). | ||
Before we start, please make sure that the directory is located at `$MMACTION/tools/data/ucf101/`. | ||
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## Step 1. Prepare Annotations | ||
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First of all, you can run the following script to prepare annotations. | ||
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```shell | ||
bash download_annotations.sh | ||
``` | ||
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## Prepare Videos | ||
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Then, you can run the following script to prepare videos. | ||
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```shell | ||
bash download_videos.sh | ||
``` | ||
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## Extract RGB and Flow | ||
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This part is **optional** if you only want to use the video loader. | ||
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Before extracting, please refer to [install.md](/docs/install.md) for installing [dense_flow](https://github.com/yjxiong/dense_flow). | ||
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If you have plenty of SSD, then we recommend extracting frames there for better I/O performance. The extracted frames (RGB + Flow) will take up about 100GB. | ||
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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-comsuming), consider running the following script to extract **RGB-only** frames. | ||
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```shell | ||
bash extract_rgb_frames.sh | ||
``` | ||
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If both are required, run the following script to extract frames. | ||
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```shell | ||
bash extract_frames.sh | ||
``` | ||
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Then, You can run the following script to soft link the extracted frames. | ||
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```shell | ||
# 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 | ||
``` | ||
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## Generate File List | ||
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you can run the follow script to generate file list in the format of rawframes and videos. | ||
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```shell | ||
bash generate_filelist.sh | ||
``` | ||
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## Directory Structure | ||
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After the whole data process for UCF-101 preparation, | ||
you will get the rawframes (RGB + Flow), videos and annotation files for UCF-101. | ||
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In the context of the whole project (for UCF-101 only), the folder structure will look like: | ||
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``` | ||
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 | ||
``` | ||
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For training and evaluating on UCF-101, please refer to [getting_started.md](/docs/getting_started.md). |