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Pytorch中的Randomcrop(3)

给我买咖啡☕ *备忘录: 我的帖子解释了关于大小参数的randomcrop()。 > 我的帖子解释了ra…

给我买咖啡☕

*备忘录:

  • 我的帖子解释了关于大小参数的randomcrop()。
  • >

  • 我的帖子解释了randomcrop()有关填充,填充和padding_mode参数。
  • >

  • 我的帖子解释了牛津iiitpet()。

randomcrop()可以随机裁剪图像,如下所示:

from torchvision.datasets import OxfordIIITPet from torchvision.transforms.v2 import RandomCrop  origin_data = OxfordIIITPet(     root="data",     transform=None )  s500_394origin_data = OxfordIIITPet( # `s` is size.     root="data",     transform=RandomCrop(size=[500, 394]) )  s600_494pinTrue_data = OxfordIIITPet( # `pin` is pad_if_needed.     root="data",     transform=RandomCrop(size=[600, 494], pad_if_needed=True) )  s700_594pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], pad_if_needed=True) )  s800_694pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[800, 694], pad_if_needed=True) )  s400_494pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[400, 494], pad_if_needed=True) )  s600_294pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[600, 294], pad_if_needed=True) )  s600_494pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[600, 494], pad_if_needed=False) )  s700_594pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], pad_if_needed=False) )  s800_694pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[800, 694], pad_if_needed=False) )  s400_494pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[400, 494], pad_if_needed=False) )  s600_294pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[600, 294], pad_if_needed=False) )  s700_594p100origin_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], pad_if_needed=100) )  s800_694p100pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[800, 694], padding=100, pad_if_needed=True) )  s900_794p100pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[900, 794], padding=100, pad_if_needed=True) )  s1000_894p100pinTrue_data = OxfordIIITPet( # `p` is padding.     root="data",     transform=RandomCrop(size=[1000, 894], padding=100, pad_if_needed=True) )  s600_694p100pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[600, 694], padding=100, pad_if_needed=True) )  s800_494p100pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[800, 494], padding=100, pad_if_needed=True) )  s800_694p100pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[800, 694], padding=100, pad_if_needed=False) )  s900_794p100pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[900, 794], padding=100, pad_if_needed=False) )  s1000_894p100pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[1000, 894], padding=100, pad_if_needed=False) )  s600_694p100pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[600, 694], padding=100, pad_if_needed=False) )  s800_494p100pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[800, 494], padding=100, pad_if_needed=False) )  s400_294pn50origin_data = OxfordIIITPet( # `n` is negative.     root="data",     transform=RandomCrop(size=[400, 294], padding=-50) )  s500_394pn50pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[500, 394], padding=-50, pad_if_needed=True) )  s600_494pn50pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[600, 494], padding=-50, pad_if_needed=True) )  s700_594pn50pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=-50, pad_if_needed=True) )  s350_444pn50pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[350, 444], padding=-50, pad_if_needed=True) )  s450_244pn50pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[450, 244], padding=-50, pad_if_needed=True) )  s500_394pn50pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[500, 394], padding=-50, pad_if_needed=False) )  s600_494pn50pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[600, 494], padding=-50, pad_if_needed=False) )  s700_594pn50pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=-50, pad_if_needed=False) )  s350_444pn50pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[350, 444], padding=-50, pad_if_needed=False) )  s450_244pn50pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[450, 244], padding=-50, pad_if_needed=False) )  s700_594p100origin_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=100) )  s700_594p50pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=50, pad_if_needed=True) )  s700_594p0pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=0, pad_if_needed=True) )  s700_594pn50pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=-50, pad_if_needed=True) )  s700_594pn100pinTrue_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=-100, pad_if_needed=True) )  s700_594p50pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=50, pad_if_needed=False) )  s700_594p0pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=0, pad_if_needed=False) )  s700_594pn50pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=-50, pad_if_needed=False) )  s700_594pn100pinFalse_data = OxfordIIITPet(     root="data",     transform=RandomCrop(size=[700, 594], padding=-100, pad_if_needed=False) )  import matplotlib.pyplot as plt  def show_images1(data, main_title=None):     plt.figure(figsize=[10, 5.5])     plt.suptitle(t=main_title, y=0.8, fontsize=14)     for i in range(1, 6):         plt.subplot(1, 5, i)         plt.imshow(X=data[0][0])     plt.tight_layout()     plt.show()  show_images1(data=s500_394origin_data, main_title="s500_394origin_data") show_images1(data=s600_494pinTrue_data, main_title="s600_494pinTrue_data") show_images1(data=s700_594pinTrue_data, main_title="s700_594pinTrue_data") show_images1(data=s800_694pinTrue_data, main_title="s800_694pinTrue_data") show_images1(data=s400_494pinTrue_data, main_title="s400_494pinTrue_data") show_images1(data=s600_294pinTrue_data, main_title="s600_294pinTrue_data") # show_images1(data=s600_494pinFalse_data, #              main_title="s600_494pinFalse_data") # Error # show_images1(data=s700_594pinFalse_data,  #              main_title="s700_594pinFalse_data") # Error # show_images1(data=s800_694pinFalse_data, #              main_title="s800_694pinFalse_data") # Error # show_images1(data=s400_494pinFalse_data,  #              main_title="s400_494pinFalse_data") # Error # show_images1(data=s600_294pinFalse_data, #              main_title="s600_294pinFalse_data") # Error print() show_images1(data=s700_594p100origin_data,               main_title="s700_594p100origin_data") show_images1(data=s800_694p100pinTrue_data,               main_title="s800_694p100pinTrue_data") show_images1(data=s900_794p100pinTrue_data,               main_title="s900_794p100pinTrue_data") show_images1(data=s1000_894p100pinTrue_data,               main_title="s1000_894p100pinTrue_data") show_images1(data=s600_694p100pinTrue_data,               main_title="s600_694p100pinTrue_data") show_images1(data=s800_494p100pinTrue_data,               main_title="s800_494p100pinTrue_data") # show_images1(data=s800_694p100pinFalse_data,  #              main_title="s800_694p100pinFalse_data") # Error # show_images1(data=s900_794p100pinFalse_data, #              main_title="s900_794p100pinFalse_data") # Error # show_images1(data=s1000_894p100pinFalse_data, #              main_title="s1000_894p100pinFalse_data") # Error # show_images1(data=s600_694p100pinFalse_data,  #              main_title="s600_694p100pinFalse_data") # Error # show_images1(data=s800_494p100pinFalse_data,  #              main_title="s800_494p100pinFalse_data") # Error print() show_images1(data=s400_294pn50origin_data,               main_title="s400_294pn50origin_data") show_images1(data=s500_394pn50pinTrue_data,               main_title="s500_394pn50pinTrue_data") show_images1(data=s600_494pn50pinTrue_data,               main_title="s600_494pn50pinTrue_data") show_images1(data=s700_594pn50pinTrue_data,               main_title="s700_594pn50pinTrue_data") show_images1(data=s350_444pn50pinTrue_data,               main_title="s350_444pn50pinTrue_data") show_images1(data=s450_244pn50pinTrue_data,               main_title="s450_244pn50pinTrue_data") # show_images1(data=s500_394pn50pinFalse_data,  #              main_title="s500_394pn50pinFalse_data") # Error # show_images1(data=s600_494pn50pinFalse_data,  #              main_title="s600_494pn50pinFalse_data") # Error # show_images1(data=s700_594pn50pinFalse_data,  #              main_title="s700_594pn50pinFalse_data") # Error # show_images1(data=s350_444pn50pinFalse_data,  #              main_title="s350_444pn50pinFalse_data") # Error # show_images1(data=s450_244pn50pinFalse_data,  #              main_title="s450_244pn50pinFalse_data") # Error print() show_images1(data=s700_594p100origin_data,               main_title="s700_594p100origin_data") show_images1(data=s700_594p50pinTrue_data,               main_title="s700_594p50pinTrue_data") show_images1(data=s700_594p0pinTrue_data,               main_title="s700_594p0pinTrue_data") show_images1(data=s700_594pn50pinTrue_data,               main_title="s700_594pn50pinTrue_data") show_images1(data=s700_594pn100pinTrue_data,               main_title="s700_594pn100pinTrue_data") # show_images1(data=s700_594p50pinFalse_data, #              main_title="s700_594p50pinFalse_data") # Error # show_images1(data=s700_594p0pinFalse_data, #              main_title="s700_594p0pinFalse_data") # Error # show_images1(data=s700_594pn50pinFalse_data, #              main_title="s700_594pn50pinFalse_data") # Error # show_images1(data=s700_594pn100pinFalse_data, #              main_title="s700_594pn100pinFalse_data") # Error  # ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ def show_images2(data, main_title=None, s=None, p=None,                  pin=False, f=0, pm='constant'):     plt.figure(figsize=[10, 5.5])     plt.suptitle(t=main_title, y=0.8, fontsize=14)     temp_s = s     im = data[0][0]     for i in range(1, 6):         plt.subplot(1, 5, i)         if not temp_s:             s = [im.size[1], im.size[0]]         rc = RandomCrop(size=s, padding=p, # Here                         pad_if_needed=pin, fill=f, padding_mode=pm)         plt.imshow(X=rc(im)) # Here     plt.tight_layout()     plt.show()  show_images2(data=origin_data, main_title="s500_394origin_data",              s=[500, 394]) show_images2(data=origin_data, main_title="s600_494pinTrue_data",              s=[600, 494], pin=True) show_images2(data=origin_data, main_title="s700_594pinTrue_data",              s=[700, 594], pin=True) show_images2(data=origin_data, main_title="s800_694pinTrue_data",              s=[800, 694], pin=True) show_images2(data=origin_data, main_title="s400_494pinTrue_data",              s=[400, 494], pin=True) show_images2(data=origin_data, main_title="s600_294pinTrue_data",              s=[600, 294], pin=True) # show_images2(data=origin_data, main_title="s600_494pinFalse_data", #              s=[600, 494], pin=False) # Error # show_images2(data=origin_data, main_title="s700_594pinFalse_data", #              s=[700, 594], pin=False) # Error # show_images2(data=origin_data, main_title="s800_694pinFalse_data", #              s=[800, 694], pin=False) # Error # show_images2(data=origin_data, main_title="s400_494pinFalse_data", #              s=[400, 494], pin=False) # Error # show_images2(data=origin_data, main_title="s600_294pinFalse_data", #              s=[600, 294], pin=False) # Error print() show_images2(data=origin_data, main_title="s700_594p100origin_data",              s=[700, 594], p=100) show_images2(data=origin_data, main_title="s800_694p100pinTrue_data",              s=[800, 694], p=100, pin=True) show_images2(data=origin_data, main_title="s900_794p100pinTrue_data",              s=[900, 794], p=100, pin=True) show_images2(data=origin_data, main_title="s1000_894p100pinTrue_data",              s=[1000, 894], p=100, pin=True) show_images2(data=origin_data, main_title="s600_694p100pinTrue_data",              s=[600, 694], p=100, pin=True) show_images2(data=origin_data, main_title="s800_494p100pinTrue_data",              s=[800, 494], p=100, pin=True) # show_images2(data=origin_data, main_title="s800_694p100pinFalse_data", #              s=[800, 694], p=100, pin=False) # Error # show_images2(data=origin_data, main_title="s900_794p100pinFalse_data", #              s=[900, 794], p=100, pin=False) # Error # show_images2(data=origin_data, main_title="s1000_894p100pinFalse_data", #              s=[1000, 894], p=100, pin=False) # Error # show_images2(data=origin_data, main_title="s600_694p100pinFalse_data", #              s=[600, 694], p=100, pin=False) # Error # show_images2(data=origin_data, main_title="s800_494p100pinFalse_data", #              s=[800, 494], p=100, pin=False) # Error print() show_images2(data=origin_data, main_title="s400_294pn50origin_data",              s=[400, 294], p=-50) show_images2(data=origin_data, main_title="s500_394pn50pinTrue_data",              s=[500, 394], p=-50, pin=True) show_images2(data=origin_data, main_title="s600_494pn50pinTrue_data",              s=[600, 494], p=-50, pin=True) show_images2(data=origin_data, main_title="s700_594pn50pinTrue_data",              s=[700, 594], p=-50, pin=True) show_images2(data=origin_data, main_title="s350_444pn50pinTrue_data",              s=[350, 444], p=-50, pin=True) show_images2(data=origin_data, main_title="s450_244pn50pinTrue_data",              s=[450, 244], p=-50, pin=True) # show_images2(data=origin_data, main_title="s500_394pn50pinFalse_data", #              s=[500, 394], p=-50, pin=False) # Error # show_images2(data=origin_data, main_title="s600_494pn50pinFalse_data", #              s=[600, 494], p=-50, pin=False) # Error # show_images2(data=origin_data, main_title="s700_594pn50pinFalse_data", #              s=[700, 594], p=-50, pin=False) # Error # show_images2(data=origin_data, main_title="s350_444pn50pinFalse_data", #              s=[350, 444], p=-50, pin=False) # Error # show_images2(data=origin_data, main_title="s450_244pn50pinFalse_data", #              s=[450, 244], p=-50, pin=False) # Error print() show_images2(data=origin_data, main_title="s700_594p100origin_data",              s=[700, 594], p=100) show_images2(data=origin_data, main_title="s700_594p50pinTrue_data",              s=[700, 594], p=50, pin=True) show_images2(data=origin_data, main_title="s700_594p0pinTrue_data",              s=[700, 594], p=0, pin=True) show_images2(data=origin_data, main_title="s700_594pn50pinTrue_data",              s=[700, 594], p=-50, pin=True) show_images2(data=origin_data, main_title="s700_594pn100pinTrue_data",              s=[700, 594], p=-100, pin=True) # show_images2(data=origin_data, main_title="s700_594p50pinFalse_data", #              s=[700, 594], p=50, pin=False) # Error # show_images2(data=origin_data, main_title="s700_594p0pinFalse_data", #              s=[700, 594], p=0, pin=False) # Error # show_images2(data=origin_data, main_title="s700_594pn50pinFalse_data", #              s=[700, 594], p=-50, pin=False) # Error # show_images2(data=origin_data, main_title="s700_594pn100pinFalse_data", #              s=[700, 594], p=-100, pin=False) # Error 
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Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)


Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)


Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)


Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

Pytorch中的Randomcrop(3)

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