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When trying to obtain the yolo files used for model training using the usual parameters, this error occurs when trying to save the frames.
This is prio 3-4 right now
To Reproduce (REQUIRED)
Input:
# Run the preparation script
mlp.prepare_dataset(
agg_df=pp.aggregated_zoo_classifications,
out_path=output_folder.selected,
img_size=(720, 540),
perc_test=percentage_test.value,
out_format="yolo",
track_frames=True,
)
Output:
WARNING:root:Unable to match species name to metadata. Raw label will be used.
INFO:root:Retrieving movies that are available locally
INFO:root:89 out of 217 movies are available.The missing movies are: [None]
INFO:root:There are 89 movies
100%|██████████| 7/7 [00:00<00:00, 13.51it/s]
Saving frames...: 0%| | 0/7 [00:00<?, ?it/s]
---------------------------------------------------------------------------
InvalidSchema Traceback (most recent call last)
File /usr/src/app/kso-dev/kso_utils/project.py:1431, in MLProjectProcessor.prepare_dataset.<locals>.on_button_clicked(b)
1429 self.species_of_interest = species_list.value
1430 # code for prepare dataset for machine learning
-> 1431 self.modules["yolo_utils"].frame_aggregation(
1432 project=self.project,
1433 server_connection=self.server_connection,
1434 db_connection=self.db_connection,
1435 out_path=out_path,
1436 perc_test=perc_test,
1437 class_list=self.species_of_interest,
1438 img_size=img_size,
1439 remove_nulls=remove_nulls,
1440 track_frames=track_frames,
1441 n_tracked_frames=n_tracked_frames,
1442 agg_df=agg_df,
1443 out_format=out_format,
1444 )
File /usr/src/app/kso-dev/kso_utils/yolo_utils.py:994, in frame_aggregation(project, server_connection, db_connection, out_path, perc_test, class_list, img_size, out_format, remove_nulls, track_frames, n_tracked_frames, agg_df)
991 else:
992 if link_bool:
993 image_output = PIL.Image.open(
--> 994 requests.get(name, stream=True).raw
995 )
996 else:
997 image_output = np.asarray(PIL.Image.open(name))
File /opt/conda/envs/myenv/lib/python3.8/site-packages/requests/api.py:73, in get(url, params, **kwargs)
62 def get(url, params=None, **kwargs):
63 r"""Sends a GET request.
64
65 :param url: URL for the new :class:`Request` object.
(...)
70 :rtype: requests.Response
71 """
---> 73 return request("get", url, params=params, **kwargs)
File /opt/conda/envs/myenv/lib/python3.8/site-packages/requests/api.py:59, in request(method, url, **kwargs)
55 # By using the 'with' statement we are sure the session is closed, thus we
56 # avoid leaving sockets open which can trigger a ResourceWarning in some
57 # cases, and look like a memory leak in others.
58 with sessions.Session() as session:
---> 59 return session.request(method=method, url=url, **kwargs)
File /opt/conda/envs/myenv/lib/python3.8/site-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
584 send_kwargs = {
585 "timeout": timeout,
586 "allow_redirects": allow_redirects,
587 }
588 send_kwargs.update(settings)
--> 589 resp = self.send(prep, **send_kwargs)
591 return resp
File /opt/conda/envs/myenv/lib/python3.8/site-packages/requests/sessions.py:697, in Session.send(self, request, **kwargs)
694 hooks = request.hooks
696 # Get the appropriate adapter to use
--> 697 adapter = self.get_adapter(url=request.url)
699 # Start time (approximately) of the request
700 start = preferred_clock()
File /opt/conda/envs/myenv/lib/python3.8/site-packages/requests/sessions.py:792, in Session.get_adapter(self, url)
789 return adapter
791 # Nothing matches :-/
--> 792 raise InvalidSchema(f"No connection adapters were found for {url!r}")
InvalidSchema: No connection adapters were found for "('https://panoptes-uploads.zooniverse.org/subject_location/26653014-efea-4a53-b31b-3f3773271bbd.jpeg',)"
Expected behavior
Environment
If applicable, add screenshots to help explain your problem.
OS: [e.g. Ubuntu]
GPU [e.g. 2080 Ti]
Additional context
did have to do a change in the filename movies_koster.csv -> movies.csv in db_starter on Alvis in order to get the movie metadata correctly read.
Issue is not present in Cloudina
The text was updated successfully, but these errors were encountered:
🐛 Bug
When trying to obtain the yolo files used for model training using the usual parameters, this error occurs when trying to save the frames.
This is prio 3-4 right now
To Reproduce (REQUIRED)
Input:
Output:
Expected behavior
Environment
If applicable, add screenshots to help explain your problem.
Additional context
did have to do a change in the filename movies_koster.csv -> movies.csv in db_starter on Alvis in order to get the movie metadata correctly read.
Issue is not present in Cloudina
The text was updated successfully, but these errors were encountered: