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 OxfordIIITPetfrom torchvision.transforms.v2 import RandomCroporigin_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 pltdef 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") # Errorprint()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") # Errorprint()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") # Errorprint()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, # Herepad_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) # Errorprint()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) # Errorprint()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) # Errorprint()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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