Error when fetching dataset_convert spec schema (COCO object detection)

I’ve uploaded a COCO object detection dataset successfully to my TAO API endpoint. dataset_convert fails, though.

If using the notebook:

• ds_format = "coco"
• ds_type = "object_detection"

Trying to fetch default convert spec schema from the following endpoint:

{base_url}/datasets/{dataset_id}/specs/convert/schema"

I see a 500 error, and the following in kubectl logs:

FileNotFoundError: [Errno 2] No such file or directory: '/opt/api/specs_utils/specs/object_detection/object_detection - convert__coco.csv'

Full stack trace:

[2025-03-08 01:53:16,713] ERROR in app: Exception on /api/v1/users/b835bea2-c296-5e58-8958-5995ae3c3a3a/datasets/116c27a0-b10e-435e-975c-e8eab96b1910/specs/convert/schema [GET]
Traceback (most recent call last):
  File "/venv/lib/python3.11/site-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/venv/lib/python3.11/site-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/venv/lib/python3.11/site-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
         ^^^^^^^^^^^^^^^^^^^^^^^
  File "/venv/lib/python3.11/site-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/api/app.py", line 85, in decorated_function
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/opt/api/app.py", line 1277, in dataset_specs_schema
    response = app_handler.get_spec_schema(user_id, dataset_id, action, "dataset")
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/api/handlers/app_handler.py", line 566, in get_spec_schema
    json_schema = csv_to_json_schema.convert(CSV_PATH, inferred_class_names)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/api/specs_utils/csv_to_json_schema.py", line 132, in convert
    with open(path, mode='r', encoding='utf-8-sig') as f:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '/opt/api/specs_utils/specs/object_detection/object_detection - convert__coco.csv'
10.150.3.49 - - [08/Mar/2025:01:53:16 +0000] "GET /api/v1/users/b835bea2-c296-5e58-8958-5995ae3c3a3a/datasets/116c27a0-b10e-435e-975c-e8eab96b1910/specs/convert/schema HTTP/1.1" 500 415 "-" "python-requests/2.32.3"

Previously I’ve converted the following dataset types successfully in TAO:

• KITTI object detection
• COCO instance segmentation

Is there an issue with COCO + object detection specifically?

5 posts - 2 participants

Read full topic