Comments (2)
Look at #35
I think you could crop or rescale your image according to the mentioned factor
from transunet.
The errors may happen when data argumentation, an easy way to solve this is that zoom first and argumentation later. Change the code like this:
class RandomGenerator(object):
def __init__(self, output_size):
self.output_size = output_size
def __call__(self, sample):
image, label = sample['image'], sample['label']
x, y = label.shape
if x != self.output_size[0] or y != self.output_size[1]:
image = zoom(image, (1, self.output_size[0] / x, self.output_size[1] / y), order=3)
label = zoom(label, (self.output_size[0] / x, self.output_size[1] / y), order=0)
if random.random() > 0.5:
image, label = random_rot_flip(image, label)
elif random.random() > 0.5:
image, label = random_rotate(image, label)
image = torch.from_numpy(image.astype(np.float32))
label = torch.from_numpy(label.astype(np.float32))
sample = {'image': image, 'label': label.long()}
return sample
from transunet.
Related Issues (20)
- Different input size (width x height)
- Reason for [-125, 275] input clipping
- "ZeroDivisionError: integer division or modulo by zero" when vit_patches_size=8 HOT 3
- Need R50+ViT-B_16 rather than R50-ViT-B_16! HOT 1
- 当我在运行TransUNet-main的train.py时出现错误:KeyError: 'Transformer/encoderblock_0/Multi5HeadDotProductAttention_1/query/kernel is not a file in the archive' 这是在我进行KeyError: 'Transformer/encoderblock_0/MultiHeadDotProductAttention_1/query\\kernel is not a file in the archive'后的更改出现的错误,csdn说这是os.path.join 合并路径的时候出现的问题,更改后仍然出现以上错误 HOT 4
- Even if we fix the seed, the results change for each training. HOT 3
- asking for you help
- ACDC dataset 100 cases of data HOT 1
- Training for three-channel dataset
- Need R50+ViT-L_16 pretrained model rather than R50+ViT-L_32 HOT 1
- 导入包报错,文件夹重名导致的坑 HOT 2
- Data preprocessing HOT 2
- Training with different image size HOT 1
- Is the Synapse multi-organ segmentation dataset experimental result obtained from is the 20 samples official test set?
- change patch_size during test
- PreActBottleneck
- Training performance issues on small-sized targets
- The issue arises from the absence of the "lists_Synapse" folder.
- ACDC dataset HOT 1
- About the solution of problems like "have 3 channels, but got 1000 channels instead"
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from transunet.