149it [01:19, 1.85it/s][0 1 2 5 7]
[0 1 2 5 7]
[ 0 1 2 5 14]
[ 0 1 2 5 14]
[ 0 1 2 5 8 9 14]
[ 0 1 2 5 9 14]
Traceback (most recent call last):
File "E:/vSLAM/FCHarDNet-master/train.py", line 269, in
train(cfg, writer, logger)
File "E:/vSLAM/FCHarDNet-master/train.py", line 183, in train
for i_val, (images_val, labels_val) in tqdm(enumerate(valloader)):
File "D:\Anaconda3\envs\pytorch1\lib\site-packages\tqdm\std.py", line 1102, in iter
for obj in iterable:
File "D:\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\dataloader.py", line 560, in next
batch = self.collate_fn([self.dataset[i] for i in indices])
File "D:\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\dataloader.py", line 560, in
batch = self.collate_fn([self.dataset[i] for i in indices])
File "E:\vSLAM\FCHarDNet-master\ptsemseg\loader\sunrgbd_loader.py", line 81, in getitem
img, lbl = self.transform(img, lbl)
File "E:\vSLAM\FCHarDNet-master\ptsemseg\loader\sunrgbd_loader.py", line 106, in transform
assert np.all(classes == classes1)
AssertionError
Training sunrgbd data set error why is the category not correct here?Is floating-point 64 changed to 32 by default?
149it [01:19, 1.85it/s][0 1 2 5 7] [0 1 2 5 7] [ 0 1 2 5 14] [ 0 1 2 5 14] [ 0 1 2 5 8 9 14] [ 0 1 2 5 9 14] Traceback (most recent call last): File "E:/vSLAM/FCHarDNet-master/train.py", line 269, in
train(cfg, writer, logger)
File "E:/vSLAM/FCHarDNet-master/train.py", line 183, in train
for i_val, (images_val, labels_val) in tqdm(enumerate(valloader)):
File "D:\Anaconda3\envs\pytorch1\lib\site-packages\tqdm\std.py", line 1102, in iter
for obj in iterable:
File "D:\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\dataloader.py", line 560, in next
batch = self.collate_fn([self.dataset[i] for i in indices])
File "D:\Anaconda3\envs\pytorch1\lib\site-packages\torch\utils\data\dataloader.py", line 560, in
batch = self.collate_fn([self.dataset[i] for i in indices])
File "E:\vSLAM\FCHarDNet-master\ptsemseg\loader\sunrgbd_loader.py", line 81, in getitem
img, lbl = self.transform(img, lbl)
File "E:\vSLAM\FCHarDNet-master\ptsemseg\loader\sunrgbd_loader.py", line 106, in transform
assert np.all(classes == classes1)
AssertionError
Training sunrgbd data set error why is the category not correct here?Is floating-point 64 changed to 32 by default?