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* Two dimensional `size=(h,w)` AutoShape support
May resolve https://github.com/ultralytics/yolov5/issues/9039
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* Update hubconf.py
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* Add PyTorch Hub classification CI checks
Add PyTorch Hub loading of official and custom trained classification models to CI checks.
May help resolve https://github.com/ultralytics/yolov5/issues/8790#issuecomment-1219840718
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update hubconf.py
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update hubconf.py
Loading a custom yolov model causes this line to fail. Adding a test to check if the model actually has a model.model field. With this check, I'm able to load the model no prob.
Loading model via
```py
model = torch.hub.load(
'ultralytics/yolov5', 'custom', 'models/frozen_backbone_coco_unlabeled_best.onnx',
autoshape=True, force_reload=False
)
```
Causes traceback:
```
Traceback (most recent call last):
File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 2077, in wsgi_app
response = self.full_dispatch_request()
File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 1525, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 1523, in full_dispatch_request
rv = self.dispatch_request()
File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 1509, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
File "/Users/jackson/Documents/GitHub/w210-capstone/api/endpoints/predictions.py", line 26, in post_predictions
yolov_predictions = predict_bounding_boxes_for_collection(collection_id)
File "/Users/jackson/Documents/GitHub/w210-capstone/api/predictions/predict_bounding_boxes.py", line 43, in predict_bounding_boxes_for_collection
model = torch.hub.load(
File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/torch/hub.py", line 404, in load
model = _load_local(repo_or_dir, model, *args, **kwargs)
File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/torch/hub.py", line 433, in _load_local
model = entry(*args, **kwargs)
File "/Users/jackson/.cache/torch/hub/ultralytics_yolov5_master/hubconf.py", line 72, in custom
return _create(path, autoshape=autoshape, verbose=_verbose, device=device)
File "/Users/jackson/.cache/torch/hub/ultralytics_yolov5_master/hubconf.py", line 67, in _create
raise Exception(s) from e
Exception: 'DetectMultiBackend' object has no attribute 'model'. Cache may be out of date, try `force_reload=True` or see https://github.com/ultralytics/yolov5/issues/36 for help.
Exception on /api/v1/predictions [POST]
Traceback (most recent call last):
File "/Users/jackson/.cache/torch/hub/ultralytics_yolov5_master/hubconf.py", line 58, in _create
model.model.model[-1].inplace = False # Detect.inplace=False for safe multithread inference
File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1185, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DetectMultiBackend' object has no attribute 'model'
```
* Update hubconf.py
* Update common.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* PyTorch Hub `_verbose=False` fix2
* Update downloads.py
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* precommit: yapf
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# Conflicts:
# utils/plots.py
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* Allow to manual selection of device for torchhub models
* single line device
nested torch.device(torch.device(device)) ok
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Glenn Jocher
Jackson Argo
Jirka Borovec
RcINS
Omid Sadeghnezhad
johnohagan
Christoph Gerum
NanoCode012