After making a dataset, trying to start training with a model does not work, and just produces an error, I've included the stacktrace I could find in the console. The error screen on the client side is also below.
"textPayload": "CRITICAL:root:model_trainer.start_training_model - creating eval job - except Traceback (most recent call last): ... File \"/workspace/model_trainer.py\", line 308, in start_training_model ... eval_job_response = ml.projects().jobs().create(parent=parent, body=eval_job).execute() ... File \"/layers/google.python.pip/pip/lib/python3.9/site-packages/googleapiclient/_helpers.py\", line 134, in positional_wrapper ... return wrapped(*args, **kwargs) ... File \"/layers/google.python.pip/pip/lib/python3.9/site-packages/googleapiclient/http.py\", line 907, in execute ... raise HttpError(resp, content, uri=self.uri) ... googleapiclient.errors.HttpError: <HttpError 400 when requesting https://ml.googleapis.com/v1/projects/ftc-ml-13312/jobs?alt=json returned \"Field: master_config.image_uri Error: Failed to read the container uri [gcr.io/ftc-ml-13312/object_detection:2021_11_25]. Please make sure that the image exists\". Details: \"[{'@type': 'type.googleapis.com/google.rpc.BadRequest', 'fieldViolations': [{'field': 'master_config.image_uri', 'description': 'Failed to read the container uri [gcr.io/ftc-ml-13312/object_detection:2021_11_25]. Please make sure that the image exists'}]}]\"> ... ",
"insertId": "63f0eb2f000dabed8daf7abf",
"resource": {
"type": "gae_app",
"labels": {
"project_id": "ftc-ml-13312",
"zone": "us12",
"version_id": "v1",
"module_id": "default"
}
},
"timestamp": "2023-02-18T15:13:51.895981Z",
"labels": {
"clone_id": "00c61b117cfedcc11cb577ce74ba61b021a08854f8ff7fcb5e569f75f28030aa09558449bf50f8faf28f5eec3bc75c4c8bcd60c9aba5390fdf99"
},
"logName": "projects/ftc-ml-13312/logs/stderr",
"receiveTimestamp": "2023-02-18T15:13:51.902403774Z"
}```
After making a dataset, trying to start training with a model does not work, and just produces an error, I've included the stacktrace I could find in the console. The error screen on the client side is also below.