sabdha
commented
7 months ago This issue got resolved when I downgraged numpy to 1.23.2.
Closed sabdha closed 7 months ago
sabdha
commented
7 months ago This issue got resolved when I downgraged numpy to 1.23.2.
pipi0816
commented
6 months ago thanks
I am facing the below error when I start training. There was no issue before. Begin training!
Traceback (most recent call last): File "/content/drive/MyDrive/yolact/./train.py", line 504, in
train()
File "/content/drive/MyDrive/yolact/./train.py", line 270, in train
for datum in data_loader:
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 630, in next
data = self._next_data()
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1371, in _process_data
data.reraise()
File "/usr/local/lib/python3.10/dist-packages/torch/_utils.py", line 694, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/content/drive/MyDrive/yolact/data/coco.py", line 94, in getitem
im, gt, masks, h, w, num_crowds = self.pull_item(index)
File "/content/drive/MyDrive/yolact/data/coco.py", line 158, in pull_item
img, masks, boxes, labels = self.transform(img, masks, target[:, :4],
File "/content/drive/MyDrive/yolact/utils/augmentations.py", line 688, in call
return self.augment(img, masks, boxes, labels)
File "/content/drive/MyDrive/yolact/utils/augmentations.py", line 55, in call
img, masks, boxes, labels = t(img, masks, boxes, labels)
File "/content/drive/MyDrive/yolact/utils/augmentations.py", line 309, in call
mode = random.choice(self.sample_options)
File "mtrand.pyx", line 936, in numpy.random.mtrand.RandomState.choice
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (6,) + inhomogeneous part.