Error when trying to train a deep learning model - not sure what the error means

Question

I downloaded the deep learning frameworks and installed them I've got Image Analyst enabled. I marked the waterbodies to 'label objects for deep learning' Next I successfully exported training samples When I try to train the model - this is the error message I get ... I do not understand what the message means. Does anyone have any experience with this? Appreciate any and all help and advice resolving the error. Thanks for the help! ________________________________________________________________ Downloading: "https://download.pytorch.org/models/resnet34-333f7ec4.pth" to C:\Users\aqureshi/.cache orch\hub\checkpoints esnet34-333f7ec4.pth Traceback (most recent call last): File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\urllib equest.py", line 1346, in do_open h.request(req.get_method(), req.selector, req.data, headers, File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\http\client.py", line 1285, in request self._send_request(method, url, body, headers, encode_chunked) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\http\client.py", line 1331, in _send_request self.endheaders(body, encode_chunked=encode_chunked) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\http\client.py", line 1280, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\http\client.py", line 1040, in _send_output self.send(msg) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\http\client.py", line 980, in send self.connect() File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\http\client.py", line 1454, in connect self.sock = self._context.wrap_socket(self.sock, File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\ssl.py", line 500, in wrap_socket return self.sslsocket_class._create( File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\ssl.py", line 1040, in _create self.do_handshake() File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\ssl.py", line 1309, in do_handshake self._sslobj.do_handshake() ssl.SSLError: [SSL: UNSAFE_LEGACY_RENEGOTIATION_DISABLED] unsafe legacy renegotiation disabled (_ssl.c:1129) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Image Analyst Tools.tbx\TrainDeepLearningModel.tool ool.script.execute.py", line 313, in execute training_model_object = training_model(data_bunch, **kwargs) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages\arcgis\learn\models\_ssd.py", line 483, in __init__ self.learn = cnn_learner( File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages\fastai\vision\learner.py", line 100, in cnn_learner model = create_cnn_model(base_arch, data.c, cut, pretrained, lin_ftrs, ps=ps, custom_head=custom_head, File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages\fastai\vision\learner.py", line 87, in create_cnn_model body = create_body(base_arch, pretrained, cut) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages\fastai\vision\learner.py", line 59, in create_body model = arch(pretrained) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages orchvision\models esnet.py", line 288, in resnet34 return _resnet('resnet34', BasicBlock, [3, 4, 6, 3], pretrained, progress, File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages orchvision\models esnet.py", line 262, in _resnet state_dict = load_state_dict_from_url(model_urls[arch], File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages orch\hub.py", line 524, in load_state_dict_from_url download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\site-packages orch\hub.py", line 394, in download_url_to_file u = urlopen(req) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\urllib equest.py", line 214, in urlopen return opener.open(url, data, timeout) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\urllib equest.py", line 517, in open response = self._open(req, data) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\urllib equest.py", line 534, in _open result = self._call_chain(self.handle_open, protocol, protocol + File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\urllib equest.py", line 494, in _call_chain result = func(*args) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\urllib equest.py", line 1389, in https_open return self.do_open(http.client.HTTPSConnection, req, File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\Lib\urllib equest.py", line 1349, in do_open raise URLError(err) urllib.error.URLError: During handling of the above exception, another exception occurred: Traceback (most recent call last): File "c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Image Analyst Tools.tbx\TrainDeepLearningModel.tool ool.script.execute.py", line 390, in execute() File "c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Image Analyst Tools.tbx\TrainDeepLearningModel.tool ool.script.execute.py", line 385, in execute del training_model_object UnboundLocalError: local variable 'training_model_object' referenced before assignment

YPotawsky · Answer

Hi @zc01,  can you elaborate on both the imagery and the training data?  When you labeled objects, what export settings did you utilize? Of particular interest is the output Meta Data format.  Are you able to successfully import torch or fastai in a Notebook within Pro and print a list of functions using the dir() method?

zc01 · Answer

hello, im using arcgis pro 3.0 and used the installer from github, i got the same error message when i train a unet with resnet (all of them, 18, 34, 50 ...)

YPotawsky · Answer

Hey @Aique, It looks like you are using the Resnet-34 Backbone.  Do you receive the same error with resnet-18 or 50?  I was also curious if you did a manual installation of the required Python libraries or utilized the installers found here: https://github.com/Esri/deep-learning-frameworks.  Are you able to import one of the libraries in Pro maybe scikit-learn or torch? Just trying to track down where this error may be coming from.