TypeError: an integer is required (got type tuple)

[consideragain]

Hi, Thanks for your sharing. There is a error when I run the training code which is the sample.

TRAINING: Epoch: 1 / 360; LR: 1.0e-03; losses: [total: 3.1942 (3.1942); ] bench: [iou: 0.0106 (0.0106); ] : 0%| | 1/1000 [00:07<1:59:20, 7.17s/batches]

Traceback (most recent call last): File "/home/tt/zyj_ws/hyperseg/configs/train/cityscapes_efficientnet_b1_hyperseg-m.py", line 43, in main(exp_dir, train_dataset=train_dataset, val_dataset=val_dataset, train_img_transforms=train_img_transforms, File "/home/tt/zyj_ws/hyperseg/train.py", line 248, in main epoch_loss, epoch_iou = proces_epoch(train_loader, train=True) File "/home/tt/zyj_ws/hyperseg/train.py", line 104, in proces_epoch for i, (input, target) in enumerate(pbar): File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/tqdm/std.py", line 1185, in iter for obj in iterable: File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 517, in next data = self._next_data() File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1179, in _next_data return self._process_data(data) File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1225, in _process_data data.reraise() File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torch/_utils.py", line 429, in reraise raise self.exc_type(msg) TypeError: Caught TypeError in DataLoader worker process 1. Original Traceback (most recent call last): File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torch/utils/data/_utils/worker.py", line 202, in _worker_loop data = fetcher.fetch(index) File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/tt/zyj_ws/hyperseg/datasets/cityscapes.py", line 220, in getitem image, target = self.transforms(image, target) File "/home/tt/zyj_ws/hyperseg/datasets/seg_transforms.py", line 78, in call input = list(t(*input)) File "/home/tt/zyj_ws/hyperseg/datasets/seg_transforms.py", line 334, in call lbl = F.pad(lbl, (int(self.size[1] - lbl.size[0]), 0), self.lbl_fill, self.padding_mode).copy() File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torchvision/transforms/functional.py", line 426, in pad return F_pil.pad(img, padding=padding, fill=fill, padding_mode=padding_mode) File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/torchvision/transforms/functional_pil.py", line 153, in pad image = ImageOps.expand(img, border=padding, **opts) File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/PIL/ImageOps.py", line 403, in expand draw.rectangle((0, 0, width - 1, height - 1), outline=color, width=border) File "/home/tt/anaconda3/envs/zyjenv/lib/python3.9/site-packages/PIL/ImageDraw.py", line 259, in rectangle self.draw.draw_rectangle(xy, ink, 0, width) TypeError: an integer is required (got type tuple)

According to the information from the Internet, this may be a problem in the transformation. Can you give me some suggestion on how to do it?

[YuvalNirkin]

I'll look into it. What is your PyTorch and Torchvision versions?

[consideragain]

Thanks for your reply. The versions are as follows: pytorch --------------- 1.8.1 torchvision----------- 0.9.1 opencv-python------4.5.2.54 cudatoolkit-----------10.2.89

[YuvalNirkin]

I am not able to recreate this issue with the same versions.

[consideragain]

What is your Python and Ubuntu versions?

[Artoria1998]

I have the same issue when i run the training code。 Traceback (most recent call last): File "E:\CODE\hyperseg\configs\train\vocsbd_efficientnet_b3_hyperseg-l.py", line 38, in main(exp_dir, train_dataset=train_dataset, val_dataset=val_dataset, train_img_transforms=train_img_transforms, File "E:\CODE\hyperseg\train.py", line 248, in main epoch_loss, epoch_iou = proces_epoch(train_loader, train=True) File "E:\CODE\hyperseg\train.py", line 104, in proces_epoch for i, (input, target) in enumerate(pbar): File "E:\ana\envs\hyperseg\lib\site-packages\tqdm\std.py", line 1185, in iter for obj in iterable: File "E:\ana\envs\hyperseg\lib\site-packages\torch\utils\data\dataloader.py", line 521, in next data = self._next_data() File "E:\ana\envs\hyperseg\lib\site-packages\torch\utils\data\dataloader.py", line 1203, in _next_data return self._process_data(data) File "E:\ana\envs\hyperseg\lib\site-packages\torch\utils\data\dataloader.py", line 1229, in _process_data data.reraise() File "E:\ana\envs\hyperseg\lib\site-packages\torch_utils.py", line 425, in reraise raise self.exc_type(msg) TypeError: Caught TypeError in DataLoader worker process 0. Original Traceback (most recent call last): File "E:\ana\envs\hyperseg\lib\site-packages\torch\utils\data_utils\worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "E:\ana\envs\hyperseg\lib\site-packages\torch\utils\data_utils\fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "E:\ana\envs\hyperseg\lib\site-packages\torch\utils\data_utils\fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "E:\CODE\hyperseg\datasets\voc_sbd.py", line 94, in getitem img, target = self.transforms(img, target) File "E:\CODE\hyperseg\datasets\seg_transforms.py", line 78, in call input = list(t(*input)) File "E:\CODE\hyperseg\datasets\seg_transforms.py", line 243, in call lbl = F.pad(lbl, padding, self.lbl_fill, self.padding_mode) File "E:\ana\envs\hyperseg\lib\site-packages\torchvision\transforms\functional.py", line 454, in pad return F_pil.pad(img, padding=padding, fill=fill, padding_mode=padding_mode) File "E:\ana\envs\hyperseg\lib\site-packages\torchvision\transforms\functional_pil.py", line 153, in pad image = ImageOps.expand(img, border=padding, **opts) File "E:\ana\envs\hyperseg\lib\site-packages\PIL\ImageOps.py", line 403, in expand draw.rectangle((0, 0, width - 1, height - 1), outline=color, width=border) File "E:\ana\envs\hyperseg\lib\site-packages\PIL\ImageDraw.py", line 259, in rectangle self.draw.draw_rectangle(xy, ink, 0, width) TypeError: an integer is required (got type tuple) my visions are as follows： pytorch：1.9.0 torchvision：0.10.0 cudatoolkit：11.1.1

[YuvalNirkin]

I don't have access to an Ubuntu at the moment, so I'll need someone to validate a solution. The issue probably originates from this line in seg_transforms.py:. Converting padding to a list of ints might solve the issue.

[consideragain]

I'm not sure if I understand you correctly. I changed this line to "padding = [0, 0] + list(np.maximum(self.padding - np.array(img.size), 0))" but this is invalid. There is the same error.

[YuvalNirkin]

It might be that the list contains floats instead of ints?

[ruanhailiang]

please replace Pillow pip install Pillow==7.1.2

[consideragain]

My Ubuntu was reinstalled. So I can't try the idea. Now I give up reappearing this code. Thank for your help.

[mavibirdesmi]

I think the problem was the version of the Pillow package as @ruanhailiang suggested. I was using Pillow version 8.3.1 and getting the same issue that is described here. Installing clean version of Pillow 7.1.2 solved the issue for me. Thanks for the help!

[YuvalNirkin]

I have added an exact environment installation yml, this should solve this issue.