Timeout while retrieving frame

Community Help
1

I frequently get this while testing out a workflow with my web camera. Is there a way to increase the timeout, or is this related to some other issue?

File “/app/inference/core/roboflow_api.py”, line 100, in wrapper
return function(*args, **kwargs)
File “/app/inference/core/roboflow_api.py”, line 256, in get_roboflow_model_data
api_data = _get_from_url(url=api_url)
File “/usr/local/lib/python3.9/site-packages/backoff/_sync.py”, line 105, in retry
ret = target(*args, **kwargs)
File “/app/inference/core/roboflow_api.py”, line 703, in _get_from_url
raise error
File “/app/inference/core/roboflow_api.py”, line 699, in _get_from_url
api_key_safe_raise_for_status(response=response)
File “/app/inference/core/utils/requests.py”, line 15, in api_key_safe_raise_for_status
response.raise_for_status()
File “/usr/local/lib/python3.9/site-packages/requests/models.py”, line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://api.roboflow.com/ort/rfid-demo-3/4?nocache=true&device=cb4e62f80a78&dynamic=true
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File “/app/inference/core/workflows/execution_engine/v1/executor/core.py”, line 130, in safe_execute_step
run_step(
File “/app/inference/core/workflows/execution_engine/v1/executor/core.py”, line 160, in run_step
return run_simd_step(
File “/app/inference/core/workflows/execution_engine/v1/executor/core.py”, line 184, in run_simd_step
return run_simd_step_in_batch_mode(
File “/app/inference/core/workflows/execution_engine/v1/executor/core.py”, line 224, in run_simd_step_in_batch_mode
outputs = step_instance.run(**step_input.parameters)
File “/app/inference/core/workflows/core_steps/models/roboflow/object_detection/v1.py”, line 190, in run
return self.run_locally(
File “/app/inference/core/workflows/core_steps/models/roboflow/object_detection/v1.py”, line 248, in run_locally
self._model_manager.add_model(
File “/app/inference/core/managers/decorators/fixed_size_cache.py”, line 61, in add_model
raise error
File “/app/inference/core/managers/decorators/fixed_size_cache.py”, line 55, in add_model
return super().add_model(model_id, api_key, model_id_alias=model_id_alias)
File “/app/inference/core/managers/decorators/base.py”, line 62, in add_model
self.model_manager.add_model(model_id, api_key, model_id_alias=model_id_alias)
File “/app/inference/core/managers/base.py”, line 61, in add_model
model = self.model_registry.get_model(resolved_identifier, api_key)(
File “/app/inference/core/registries/roboflow.py”, line 71, in get_model
model_type = get_model_type(model_id, api_key)
File “/app/inference/core/registries/roboflow.py”, line 126, in get_model_type
api_data = get_roboflow_model_data(
File “/app/inference/core/roboflow_api.py”, line 119, in wrapper
error_handler(error)
File “/app/inference/core/roboflow_api.py”, line 79, in
401: lambda e: raise_from_lambda(
File “/app/inference/core/roboflow_api.py”, line 75, in raise_from_lambda
raise exception_type(message) from inner_error
inference.core.exceptions.RoboflowAPINotAuthorizedError: Unauthorized access to roboflow API - check API key. Visit Authentication | Roboflow Docs to learn how to retrieve one.

2

Hi @LouNL ,

Thanks for posting! Can you share more details about how you process camera frames? Are you using inference pipeline?

Thanks,
Grzegorz

3

In this case it’s using the “test workflow” tool in the attached workflow with a webcam. I’m running the workflow locally on the inference server image.

4

Hi @LouNL ,

Looking at the error log again, can you confirm if your model ID is correct? The error suggests you are not authorized to use rfid-demo-3/4, was this model created within your workspace?

Thanks,
Grzegorz