Instructions to use ccllr/MP-SAM2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sam2
How to use ccllr/MP-SAM2 with sam2:
# Use SAM2 with images import torch from sam2.sam2_image_predictor import SAM2ImagePredictor predictor = SAM2ImagePredictor.from_pretrained("ccllr/MP-SAM2") with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16): predictor.set_image(<your_image>) masks, _, _ = predictor.predict(<input_prompts>)# Use SAM2 with videos import torch from sam2.sam2_video_predictor import SAM2VideoPredictor predictor = SAM2VideoPredictor.from_pretrained("ccllr/MP-SAM2") with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16): state = predictor.init_state(<your_video>) # add new prompts and instantly get the output on the same frame frame_idx, object_ids, masks = predictor.add_new_points(state, <your_prompts>) # propagate the prompts to get masklets throughout the video for frame_idx, object_ids, masks in predictor.propagate_in_video(state): ... - Notebooks
- Google Colab
- Kaggle
Download mp_sam2_10.torch from ccllr/MP-SAM2: direct link, hf CLI and curl.
- Browser
- Download file 898 MB
-
https://huggingface.co/ccllr/MP-SAM2/resolve/main/mp_sam2_10.torch
- Command line
-
hf download hf://ccllr/MP-SAM2/mp_sam2_10.torch
-
curl -L -o mp_sam2_10.torch https://huggingface.co/ccllr/MP-SAM2/resolve/main/mp_sam2_10.torch
898 MB
- Xet hash:
- 44019f356a123096f53bdaf81d8dabaacab48b61a47ce4cdfdf054d1921b69e7
- Size of remote file:
- 898 MB
- SHA256:
- 6c1f5f650e3e8d61e99ec67bcbc07d040d81c46acd198caf0b6b422e20c4e7cb
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