Update Vista3d (Project-MONAI#668)

Fixes # .

### Description
A few sentences describing the changes proposed in this pull request.

### Status
**Ready/Work in progress/Hold**

### Please ensure all the checkboxes:
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Codeformat tests passed locally by running `./runtests.sh
--codeformat`.
- [ ] In-line docstrings updated.
- [ ] Update `version` and `changelog` in `metadata.json` if changing an
existing bundle.
- [ ] Please ensure the naming rules in config files meet our
requirements (please refer to: `CONTRIBUTING.md`).
- [ ] Ensure versions of packages such as `monai`, `pytorch` and `numpy`
are correct in `metadata.json`.
- [ ] Descriptions should be consistent with the content, such as
`eval_metrics` of the provided weights and TorchScript modules.
- [ ] Files larger than 25MB are excluded and replaced by providing
download links in `large_file.yml`.
- [ ] Avoid using path that contains personal information within config
files (such as use `/home/your_name/` for `"bundle_root"`).

---------

Signed-off-by: Yiheng Wang <[email protected]>

ci/unit_tests/test_vista3d.py

@@ -9,6 +9,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import json
 import os
 import shutil
 import sys
@@ -441,6 +442,15 @@ def test_error_prompt_infer_config(self, override):
         original_exception = runtime_error.__cause__
         self.assertEqual(str(original_exception), override["error"])
 
+    @parameterized.expand([TEST_CASE_INFER])
+    def test_labels_dict(self, override):
+        bundle_root = override["bundle_root"]
+        label_dict_file = os.path.join(bundle_root, "docs/labels.json")
+        if not os.path.isfile(label_dict_file):
+            raise ValueError(f"labels.json not found in {bundle_root}")
+        with open(label_dict_file) as f:
+            _ = json.load(f)
+
 
 if __name__ == "__main__":
     loader = unittest.TestLoader()

models/vista3d/configs/metadata.json

@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
-    "version": "0.4.9",
+    "version": "0.5.0",
     "changelog": {
+        "0.5.0": "update json file link and add test",
         "0.4.9": "fix oom issue and update readme",
         "0.4.8": "use 0.3 overlap for inference",
         "0.4.7": "update tensorrt benchmark results",

models/vista3d/docs/README.md

@@ -68,7 +68,7 @@ ConfigParser.export_config_file(parser.config, json_name, indent=4)
 ### Configurations
 
 #### `label_mappings`
-The core concept of label_mapping is to convert ground-truth label index of each dataset to a unified class index. For example, "Spleen" in MSD09 groundtruth will be represented by 1, while in AbdomenCT-1K it's 3. We unified a global label index [`label_dict`](./labels.json) to represent all 132 classes, and create a label mapping to map those local index to this global index. So when a user is training on their own dataset, we need to know this mapping.
+The core concept of label_mapping is to convert ground-truth label index of each dataset to a unified class index. For example, "Spleen" in MSD09 groundtruth will be represented by 1, while in AbdomenCT-1K it's 3. We unified a global label index (`docs/labels.json`) to represent all 132 classes, and create a label mapping to map those local index to this global index. So when a user is training on their own dataset, we need to know this mapping.
 
 The current label mapping `[[1, 3]]` indicates that training labels' class indices `1` is mapped
 to the VISTA model's class `3` (format `[[src_class_0, dst_class_0], [src_class_1, dst_class_1], ...]`). So during inference, "3" is used to segment spleen.
@@ -173,7 +173,7 @@ list(set([i+1 for i in range(132)]) - set([2,16,18,20,21,23,24,25,26,27,128,129,
 - The `points` together with `label_prompts` for "Kidney", "Lung", "Bone" (class index [2, 20, 21]) are not allowed since those prompts will be divided into sub-categories (e.g. left kidney and right kidney). Use `points` for the sub-categories as defined in the `inference.json`.
 
 ### `label_prompt` and `label_dict`
-The `label_dict` defined in [`labels.json`](../docs/labels.json) has in total 132 classes. However, there are 5 we do not support and we keep them due to legacy issue. So in total
+The `label_dict` defined in `docs/labels.json` has in total 132 classes. However, there are 5 we do not support and we keep them due to legacy issue. So in total
 VISTA3D support 127 classes.
 
 ```

models/vista3d/large_files.yml

@@ -4,4 +4,6 @@ large_files:
     hash_val: "6ce45a8edde4400c5d28d5e74d7b61d5"
     hash_type: "md5"
   - path: "docs/labels.json"
-    url: "https://github.com/Project-MONAI/tutorials/blob/e66be5955d2b4f5959884ca026932762954b19c5/vista_3d/label_dict.json"
+    url: "https://raw.githubusercontent.com/Project-MONAI/tutorials/e66be5955d2b4f5959884ca026932762954b19c5/vista_3d/label_dict.json"
+    hash_val: "71ff501086a80fe973ab843d2f7974c2"
+    hash_type: "md5"