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demo.py程式問題 - Cupoy

1.demo.py 問題    請問我在執行Real Time的時候遇到了如下的問題:-------...

cvdl-1-d29

demo.py程式問題

2020/01/28 01:19 PM
電腦視覺深度學習論壇
馮品儒
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回答數:3
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cvdl-1-d29

1.demo.py 問題

    請問我在執行Real Time的時候遇到了如下的問題:

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
 in 
      3 while True:
      4     _, frame = video_capture.read()
----> 5     canvas = detect(frame, net, transform)
      6     cv2.imshow('Video', canvas)
      7     if cv2.waitKey(1) & 0xFF == ord('q'):

 in detect(frame, net, transform)
      8     x = torch.from_numpy(frame_t).permute(2, 0, 1)
      9     x = Variable(x.unsqueeze(0))
---> 10     y = net(x)
     11     detections = y.data
     12     scale = torch.Tensor([width, height, width, height])

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\torch\nn\modules\module.py in __call__(self, *input, **kwargs)
    545             result = self._slow_forward(*input, **kwargs)
    546         else:
--> 547             result = self.forward(*input, **kwargs)
    548         for hook in self._forward_hooks.values():
    549             hook_result = hook(self, input, result)

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\ssd.py in forward(self, x)
     73         # apply vgg up to conv4_3 relu
     74         for k in range(23):
---> 75             x = self.vgg[k](x)
     76 
     77         s = self.L2Norm(x)

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\torch\nn\modules\module.py in __call__(self, *input, **kwargs)
    545             result = self._slow_forward(*input, **kwargs)
    546         else:
--> 547             result = self.forward(*input, **kwargs)
    548         for hook in self._forward_hooks.values():
    549             hook_result = hook(self, input, result)

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\torch\nn\modules\conv.py in forward(self, input)
    341 
    342     def forward(self, input):
--> 343         return self.conv2d_forward(input, self.weight)
    344 
    345 class Conv3d(_ConvNd):

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\torch\nn\modules\conv.py in conv2d_forward(self, input, weight)
    338                             _pair(0), self.dilation, self.groups)
    339         return F.conv2d(input, weight, self.bias, self.stride,
--> 340                         self.padding, self.dilation, self.groups)
    341 
    342     def forward(self, input):

RuntimeError: Expected object of backend CPU but got backend CUDA for argument #2 'weight'

2.輸入資料型態.ipynb 問題

    我在loading 完圖片後執行images, targets = next(batch_iterator) 遇到問題如下:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
 in 
----> 1 images, targets = next(batch_iterator)

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\torch\utils\data\dataloader.py in __next__(self)
    344     def __next__(self):
    345         index = self._next_index()  # may raise StopIteration
--> 346         data = self.dataset_fetcher.fetch(index)  # may raise StopIteration
    347         if self.pin_memory:
    348             data = _utils.pin_memory.pin_memory(data)

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\torch\utils\data\_utils\fetch.py in fetch(self, possibly_batched_index)
     42     def fetch(self, possibly_batched_index):
     43         if self.auto_collation:
---> 44             data = [self.dataset[idx] for idx in possibly_batched_index]
     45         else:
     46             data = self.dataset[possibly_batched_index]

D:\program\anaconda\envs\tf_gpu_1.13\lib\site-packages\torch\utils\data\_utils\fetch.py in (.0)
     42     def fetch(self, possibly_batched_index):
     43         if self.auto_collation:
---> 44             data = [self.dataset[idx] for idx in possibly_batched_index]
     45         else:
     46             data = self.dataset[possibly_batched_index]

d:\freshman\python\Object Detection 程式導讀\data\coco.py in __getitem__(self, index)
    108                    target is the object returned by ``coco.loadAnns``.
    109         """
--> 110         im, gt, h, w = self.pull_item(index)
    111         return im, gt
    112 

d:\freshman\python\Object Detection 程式導讀\data\coco.py in pull_item(self, index)
    130         assert osp.exists(path), 'Image path does not exist: {}'.format(path)
    131         img = cv2.imread(osp.join(self.root, path))
--> 132         height, width, _ = img.shape
    133         if self.target_transform is not None:
    134             target = self.target_transform(target, width, height)

AttributeError: 'NoneType' object has no attribute 'shape'

3.Build RetinaNet.ipynb、Build SSD_VGG.ipynb 問題

    在執行 基本設定 時,遇到了:

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
 in 
      4 '''tensor type會依照cpu或gpu有所不同'''
      5 if torch.cuda.is_available():
----> 6     if args.cuda:
      7         torch.set_default_tensor_type('torch.cuda.FloatTensor')
      8     if not args.cuda:

NameError: name 'args' is not defined

請問該如何解決?


4.檔案中出現很多 _DS_Store 的檔案,請問那是甚麼檔案?