Download EgoHOS/raw/script/mmsegmentation/pred_obj1.sh from ParityLab/Hand-Datasets-Raw: direct link, hf CLI and curl.
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548 Bytes
| # inference | |
| python predict_image.py \ | |
| --config_file ./work_dirs/twohands_cb_to_obj1_ccda/twohands_cb_to_obj1_ccda.py \ | |
| --checkpoint_file ./work_dirs/twohands_cb_to_obj1_ccda/best_mIoU_iter_34000.pth \ | |
| --img_dir ../testimages/images \ | |
| --pred_seg_dir ../testimages/pred_obj1 | |
| # visualize | |
| python visualize.py \ | |
| --mode twohands_obj1 \ | |
| --img_dir ../testimages/images \ | |
| --twohands_dir ../testimages/pred_twohands \ | |
| --obj1_dir ../testimages/pred_obj1 \ | |
| --vis_dir ../testimages/pred_obj1_vis | |