Instructions to use g-ronimo/sam2-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sam2
How to use g-ronimo/sam2-tiny with sam2:
# Use SAM2 with images import torch from sam2.sam2_image_predictor import SAM2ImagePredictor predictor = SAM2ImagePredictor.from_pretrained(g-ronimo/sam2-tiny) 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(g-ronimo/sam2-tiny) 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,5 +10,5 @@ ONNX Runtime version of [facebook/sam2-hiera-tiny](https://huggingface.co/facebo
|
|
| 10 |
|
| 11 |
Notebook for conversion: https://github.com/geronimi73/next-sam/blob/main/notebooks/SAM2-to-ONNX.ipynb
|
| 12 |
|
| 13 |
-
Demo
|
| 14 |
|
|
|
|
| 10 |
|
| 11 |
Notebook for conversion: https://github.com/geronimi73/next-sam/blob/main/notebooks/SAM2-to-ONNX.ipynb
|
| 12 |
|
| 13 |
+
Demo: [sam2-seven.vercel.app](https://sam2-seven.vercel.app)
|
| 14 |
|