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Traceback (most recent call last):
File "clip_object_tracker.py", line 360, in
detect()
File "clip_object_tracker.py", line 141, in detect
_ = yolov5_engine.infer(img.half() if half else img) if device.type != 'cpu' else None # run once
File "/content/zero-shot-object-tracking/utils/yolov5.py", line 16, in infer
pred = self.model(img, augment=self.augment)[0]
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/content/zero-shot-object-tracking/models/yolo.py", line 123, in forward
return self.forward_once(x, profile) # single-scale inference, train
File "/content/zero-shot-object-tracking/models/yolo.py", line 139, in forward_once
x = m(x) # run
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/upsampling.py", line 154, in forward
recompute_scale_factor=self.recompute_scale_factor)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1186, in getattr
type(self).name, name))
AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'
The text was updated successfully, but these errors were encountered:
This error has occurred because of the latest version of Pytorch that you're using.
But this repo is created and supports yolov5 with the following commit hash: 886f1c03d839575afecb059accf74296fad395b6
The following version of pytorch and its dependancies will solve the issue: !pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
@learninguser@noctilucas1
I am having a similar issue. Did you encounter this?
Can't get attribute 'DetectionModel' on <module 'models.yolo' from '/content/zero-shot-object-tracking/models/yolo.py'>
Namespace(agnostic_nms=False, api_key=None, augment=False, cfg='/content/zero-shot-object-tracking/models/yolov5s.yaml', classes=None, confidence=0.4, detection_engine='yolov5', device='', exist_ok=False, img_size=640, info=False, max_cosine_distance=0.4, name='exp', names='coco.names', nms_max_overlap=1.0, nn_budget=None, overlap=0.3, project='runs/detect', save_conf=False, save_txt=False, source='/content/zero-shot-object-tracking/example/video/fish.mp4', thickness=3, update=False, url=None, view_img=False, weights='yolov5s.pt')
Fusing layers...
Using torch 1.11.0+cu113 CUDA:0 (Tesla T4, 15109.75MB)
Traceback (most recent call last):
File "clip_object_tracker.py", line 360, in
detect()
File "clip_object_tracker.py", line 141, in detect
_ = yolov5_engine.infer(img.half() if half else img) if device.type != 'cpu' else None # run once
File "/content/zero-shot-object-tracking/utils/yolov5.py", line 16, in infer
pred = self.model(img, augment=self.augment)[0]
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/content/zero-shot-object-tracking/models/yolo.py", line 123, in forward
return self.forward_once(x, profile) # single-scale inference, train
File "/content/zero-shot-object-tracking/models/yolo.py", line 139, in forward_once
x = m(x) # run
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/upsampling.py", line 154, in forward
recompute_scale_factor=self.recompute_scale_factor)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1186, in getattr
type(self).name, name))
AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'
The text was updated successfully, but these errors were encountered: