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
File size: 1,544 Bytes
1a5f503 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | {
"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
]
}
}
|