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staging/test/README.md

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+# test
+
+Shared through spaCR's Model Zoo. Uploaded by a spaCR user, not validated by
+the spaCR maintainers -- read the table and the limitations before using it.
+
+- **Kind:** cellpose
+- **Checkpoint:** `test/hela_60x_v2.CP_model`
+- **SHA-256:** `bea0a3d49ae1b4cb74c05cdf5eca773b00a550afd5ad2e77dae01d571e1aecc8`
+
+## Performance
+
+| model | train | train obj. | test | test obj. | CV | F1 @ IoU 0.5 | AJI | Dice | final train loss | final val loss | val - train | best epoch |
+|---|---|---|---|---|---|---|---|---|---|---|---|---|
+| stock (no fine-tuning) | — | — | ND | ND | — | ND | ND | ND | — | — | — | — |
+| **this model** | ND | ND | ND | ND | ND | **ND** | ND | ND | ND | ND | — | ND |
+
+## Trained on
+
+ND
+
+## Limitations
+
+ND
+
+## Use it in spaCR
+
+```bash
+pip install spacr
+```
+
+Open the Model Zoo, find this model, press Download. Or:
+
+```python
+from spacr import model_zoo
+entry = next(e for e in model_zoo.catalogue() if e.name == "hela_60x_v2.CP_model")
+path = model_zoo.install(entry, dest="~/spacr_models")
+```
+
+- spaCR on GitHub: https://github.com/EinarOlafsson/spacr
+- Model Zoo API: `spacr.model_zoo`
+- Mask generation: `spacr.core.preprocess_generate_masks`