Instructions to use AhmadYarAI/EdgeTAM-CoreML-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sam2
How to use AhmadYarAI/EdgeTAM-CoreML-Video with sam2:
# Use SAM2 with images import torch from sam2.sam2_image_predictor import SAM2ImagePredictor predictor = SAM2ImagePredictor.from_pretrained(AhmadYarAI/EdgeTAM-CoreML-Video) 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(AhmadYarAI/EdgeTAM-CoreML-Video) 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
| { | |
| "fileFormatVersion": "1.0.0", | |
| "itemInfoEntries": { | |
| "A9D8FF06-63A3-4FF3-84D2-93189C8689EC": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Weights", | |
| "name": "weights", | |
| "path": "com.apple.CoreML/weights" | |
| }, | |
| "C0E305BD-76C5-43DE-838F-B4C3E834110D": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Specification", | |
| "name": "model.mlmodel", | |
| "path": "com.apple.CoreML/model.mlmodel" | |
| } | |
| }, | |
| "rootModelIdentifier": "C0E305BD-76C5-43DE-838F-B4C3E834110D" | |
| } | |