Instructions to use KRMayD/COD10K_CAM_5Way_Segmentation_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use KRMayD/COD10K_CAM_5Way_Segmentation_Checkpoints with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:KRMayD/COD10K_CAM_5Way_Segmentation_Checkpoints') tokenizer = open_clip.get_tokenizer('hf-hub:KRMayD/COD10K_CAM_5Way_Segmentation_Checkpoints') - Notebooks
- Google Colab
- Kaggle
| { | |
| "baseline": { | |
| "mean_dsc": 0.35268927945005, | |
| "mean_nsd": 0.37516088796063846, | |
| "checkpoint": "/home/msko021220/dataset/clip_reference_checkpoints/openai_clip_vit_b_32_quickgelu_openclip_state_dict.pt" | |
| }, | |
| "clip": { | |
| "mean_dsc": 0.3598492897237921, | |
| "mean_nsd": 0.3834423319075935, | |
| "checkpoint": "/home/msko021220/FINAL/cod10k_gmpo_ind_comparison_20260725/control_checkpoints/cod10k_cam_clip_explicitneg_2886_seed0/final_model.pt" | |
| }, | |
| "cliprefine": { | |
| "mean_dsc": 0.3594090029128997, | |
| "mean_nsd": 0.38345402661626143, | |
| "checkpoint": "/home/msko021220/FINAL/cod10k_gmpo_ind_comparison_20260725/control_checkpoints/cod10k_cam_cliprefine_explicitneg_2886_seed0/final_model.pt" | |
| }, | |
| "global_ind": { | |
| "mean_dsc": 0.3785821804714435, | |
| "mean_nsd": 0.40229949888029237, | |
| "checkpoint": "/home/msko021220/FINAL/cod10k_gmpo_ind_comparison_20260725/global_ind/train_logs/cod10k_cam_gmpo_global_ind_explicitneg_2886_seed0/checkpoints/epoch_3.pt", | |
| "weights_global_summary": [ | |
| 0.24762816727161407, | |
| 1.0397101640701294, | |
| 0.7316361665725708, | |
| 1.9810253381729126 | |
| ] | |
| }, | |
| "sample_ind": { | |
| "mean_dsc": 0.35677313300588914, | |
| "mean_nsd": 0.3792525919442957, | |
| "checkpoint": "/home/msko021220/FINAL/cod10k_gmpo_ind_comparison_20260725/sample_ind/train_logs/cod10k_cam_gmpo_sample_ind_explicitneg_2886_seed0/checkpoints/epoch_3.pt", | |
| "weights_global_summary": [ | |
| 0.24762816727161407, | |
| 1.0397101640701294, | |
| 0.7316361665725708, | |
| 1.9810253381729126 | |
| ] | |
| } | |
| } | |