Image Segmentation
PyTorch
sam2
semantic-segmentation
microstructure
materials-science
segment-anything-2
lora
Instructions to use WUT-AI-AI4Mat/microstructure-sam2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sam2
How to use WUT-AI-AI4Mat/microstructure-sam2 with sam2:
# Use SAM2 with images import torch from sam2.sam2_image_predictor import SAM2ImagePredictor predictor = SAM2ImagePredictor.from_pretrained(WUT-AI-AI4Mat/microstructure-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(WUT-AI-AI4Mat/microstructure-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
| da7ffbb7dcf2fa0ab7278fb88ed3654e90d1cef2fcba00b18b977ae4c5ced313 checkpoints/Aachen-Heerlen/sam2_lora_decoder_best.pth | |
| 33a37f95eb3d50485038da3e0dc8494f469bd11c5bd4e3c09ccd10956f150524 checkpoints/EBC/semantic_sam2_best.pth | |
| 3551a19ecc984fb999cdb7b1475ec258776e0dfdebdd4caedb91ad102df6eb39 checkpoints/EMPS/sam2_lora_decoder_best.pth | |
| 7bb0e3036b685eddb1c9b6d4ce3f62c3ce33d4cad971f9d6ae4913601566d37e checkpoints/Grain/sam2_lora_decoder_best.pth | |
| 5031b5040d1f05d65edd4b53ef8cddd135d7848ff57bab7db3ea2b6a90de7f0b checkpoints/MetalDAM/semantic_sam2_best.pth | |
| d9b8fdc275efa1c58c40287777a7d2c72c0c4c9a66f71439fb946c4acfacac1d checkpoints/Super/semantic_sam2_best.pth | |
| 9188cfc3d8ffe9aeefa26b65129223726d2fa9742cd343b94578291e260bdd64 checkpoints/UHCS/semantic_sam2_best.pth | |