Download EgoHOS/raw/script/mmsegmentation/pred_obj2_video.sh from ParityLab/Hand-Datasets-Raw: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/mmsegmentation/pred_obj2_video.sh
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hf download hf://datasets/ParityLab/Hand-Datasets-Raw/EgoHOS/raw/script/mmsegmentation/pred_obj2_video.sh
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curl -L -o pred_obj2_video.sh https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/mmsegmentation/pred_obj2_video.sh
316 Bytes
| python predict_video.py \ | |
| --mode obj2 \ | |
| --input_video_file ../testvideos/testvideo2_short.mp4 \ | |
| --output_video_file ../testvideos/testvideo2_short_result.mp4 \ | |
| --remove_intermediate_images True # True: save only the processed video; False: save all intermediate segmentation image results |