我们使用 Roboflow 进行对象检测,使用 Yolov4 Pytorch 模型为我们的自定义数据集。在训练过程中,我们收到以下错误。
Traceback (most recent call last):
File "./pytorch-YOLOv4/train.py", line 447, in <module>
device=device, )
File "./pytorch-YOLOv4/train.py", line 310, in train
for i, batch in enumerate(train_loader):
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 856, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 881, in _process_data
data.reraise()
File "/usr/local/lib/python3.7/dist-packages/torch/_utils.py", line 394, in reraise
raise self.exc_type(msg)
ValueError: Caught ValueError in DataLoader worker process 7.
Original Traceback (most recent call last):
File "/content/pytorch-YOLOv4/dataset.py", line 382, in __getitem__
out_bboxes1[:min(out_bboxes.shape[0], self.cfg.boxes)] = out_bboxes[:min(out_bboxes.shape[0], self.cfg.boxes)]
AttributeError: 'list' object has no attribute 'shape'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/content/pytorch-YOLOv4/dataset.py", line 385, in __getitem__
out_bboxes1[:min(out_bboxes.shape[0], self.cfg.boxes)] = out_bboxes[:min(out_bboxes.shape[0], self.cfg.boxes)]
ValueError: could not broadcast input array from shape (0) into shape (0,5)