質問編集履歴
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エラー文の修正
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@@ -9,20 +9,60 @@
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エラーメッセージ
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---------------------------------------------------------------------------
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AttributeError Traceback (most recent call last)
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<timed exec> in <module>
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<ipython-input-
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<ipython-input-11-f5fd48daba1c> in train(net, dataloaders_dict, criterion, optimizer, num_epochs)
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54 # データローダーをイテレートしてミニバッチを抽出
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--->
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---> 64 for images, targets in dataloaders_dict[phase]:
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65 # 画像データにデバイスを割り当てる
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66 images = images.to(device)
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/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py in __next__(self)
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679 # TODO(https://github.com/pytorch/pytorch/issues/76750)
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680 self._reset() # type: ignore[call-arg]
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--> 681 data = self._next_data()
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682 self._num_yielded += 1
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683 if self._dataset_kind == _DatasetKind.Iterable and \
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/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py in _next_data(self)
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719 def _next_data(self):
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720 index = self._next_index() # may raise StopIteration
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--> 721 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
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722 if self._pin_memory:
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723 data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
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/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py in fetch(self, possibly_batched_index)
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47 def fetch(self, possibly_batched_index):
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48 if self.auto_collation:
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---> 49 data = [self.dataset[idx] for idx in possibly_batched_index]
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50 else:
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51 data = self.dataset[possibly_batched_index]
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/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py in <listcomp>(.0)
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47 def fetch(self, possibly_batched_index):
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48 if self.auto_collation:
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---> 49 data = [self.dataset[idx] for idx in possibly_batched_index]
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50 else:
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51 data = self.dataset[possibly_batched_index]
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/content/drive/My Drive/Colab Notebooks/ObjectDetection/voc.py in __getitem__(self, index)
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256 # pull_item()にイメージのインデックスを渡して前処理
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257 # 処理後のイメージデータとBBoxとラベルの2次元配列を返す
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--> 258 im, bl, _, _ = self.pull_item(index)
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259 return im, bl
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/content/drive/My Drive/ObjectDetection/voc.py in pull_item(self, index)
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/content/drive/My Drive/Colab Notebooks/ObjectDetection/voc.py in pull_item(self, index)
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275 img_path = self.img_list[index] # インデックスを指定してイメージのパスを取得
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276 img = cv2.imread(img_path) # OpenCV2でイメージの[高さ,幅,[B,G,R]]を取得
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--> 277 height, width, _ = img.shape # 配列要素数を数えて高さ,幅のみを取得
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279 # アノテーションデータのリストを取得
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AttributeError: 'NoneType' object has no attribute 'shape'
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```
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### 該当のソースコード
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