Jingzhe Ma
64 lines
2.4 KiB
Markdown
64 lines
2.4 KiB
Markdown
# SkeletonGait: Gait Recognition Using Skeleton Maps
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This [paper](https://arxiv.org/abs/2311.13444) has been accepted by AAAI 2024.
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## Step 1: Generating Heatmap
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Leveraging the power of Distributed Data Parallel (DDP), we've streamlined the heatmap generation process. Below is the script to initiate the generation:
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```
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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python -m torch.distributed.launch \
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--nproc_per_node=4 \
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datasets/pretreatment_heatmap.py \
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--pose_data_path=<your pose .pkl files path> \
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--save_root=<your_path> \
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--dataset_name=<dataset_name>
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```
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Parameter Guide:
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- `--pose_data_path`: Specifies the directory containing the pose data files (`.pkl`, ID-Level). This is **required**.
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- `--save_root`: Designates the root directory for storing the generated heatmap files (`.pkl`, ID-Level). This is **required**.
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- `--dataset_name`: The name of the dataset undergoing preprocessing. This is required.
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- `--ext_name`: An **optional** suffix for the 'save_root' directory to facilitate identification. Defaults to an empty string.
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- `--heatmap_cfg_path`: Path to the configuration file of the heatmap generator. The default setting is `configs/skeletongait/pretreatment_heatmap.yaml`.
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**Optional**
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## Step 2: Creating Symbolic Links for Heatmap and Silhouette Data
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The script to symlink heatmaps and silouettes is as follows:
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```
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python datasets/ln_sil_heatmap.py \
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--heatmap_data_path=<path_to_your_heatmap_folder> \
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--silhouette_data_path=<path_to_your_silhouette_folder> \
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--output_path=<path_to_your_output_folder>
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```
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Parameter Guide:
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- `--heatmap_data_path`: The **absolute** path to your heatmap data. This is **required**.
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- `--silhouette_data_path`: The **absolute** path to your silhouette data. This is **required**.
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- `--output_path`: Designates the directory for linked output data. This is **required**.
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- `--dataset_pkl_ext_name`: An **optional** parameter to specify the extension for `.pkl` silhouette files. Defaults to `.pkl`.
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## Step3: Training SkeletonGait or SkeletonGait++
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The script to SkeletonGait is as follows:
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```
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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python -m torch.distributed.launch \
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--nproc_per_node=4 opengait/main.py \
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--cfgs ./configs/skeletongait/skeletongait_Gait3D.yaml \
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--phase train --log_to_file
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```
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The script to SkeletonGait++ is as follows:
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```
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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python -m torch.distributed.launch \
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--nproc_per_node=4 opengait/main.py \
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--cfgs ./configs/skeletongait/skeletongait++_Gait3D.yaml \
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--phase train --log_to_file
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```
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