WebMar 26, 2024 · Sorted by: 1 As noted in the comments, the error suggests that your dataset contains both gray scale and RGB (color) images. Although all images have indeed been … WebOct 26, 2024 · TypeError: Cannot handle this data type: (1, 1, 512), u1 这是因为,当要 …
TypeError: Cannot handle this data type: (1, 1, 3),
WebTypeError: Cannot handle this data type: (1, 1, 128), u1 解决措施: Image.fromarray (np.uint8 (img.transpose ( 1, 2, 0 ))).convert ( 'RGB' ).save (s, format= "png") 添加img.transpose (1,2,0)。 原因: 我的数据输入格式img是(3,128,128),即是(channel,width,height)。 但是使用PIL库处理图像数据时候,需要的格式 … WebDec 30, 2024 · 1 Answer Sorted by: 1 Your sal_maps_hf is not np.uint8. Based on the partial information in the question and in comments, I guess that your mask is of dtype np.float (or similar), and by multiplying data * sal_maps_hf your data is cast to dtype other than np.uint8 which later makes PIL.Image to throw an exception. Try: cuhk facts and figures
Issue with torchvision.utils.draw_bouding_boxes - PyTorch Forums
WebMar 20, 2024 · To fix this issue as described in this answer PIL TypeError: Cannot handle this data type question answer I fix error: L_img = Image.fromarray (tmp.astype (np.uint8)) Full code described here at … WebFeb 26, 2024 · KeyError: ((1, 1, 389), ' u1') The above exception was the direct cause of the following exception: Traceback (most recent call last): File "runner.py", line 93, in main() File "runner.py", line 74, in main … WebMay 27, 2024 · Based on the error message it seems that PIL doesn’t recognize the used … eastern maine sports academy veazie