?? ?? ??????

*??:

• ? ????? OxfordIIITPet()? ?? ??? ?? ????.

FiveCrop()? ??? ?? ???? 5? ??(?? ?, ??? ?, ?? ??, ??? ?? ? ???)?? ?? ? ????.

*??:

• ???? ?? ? ?? ??? size(Required-Type:int ?? tuple/list(int) ?? size())???. *??:
  • [??,??] ???.
  • 1
  • ??/???? ??? 1? ?? 2? ?? 1D?? ???.
  • ?? ?(int ?? tuple/list(int)? [??, ??]? ?????.
• ? ?? ??? img(?? ??:PIL ??? ?? ??(int))???. *??:
  • ??? ?? ??? ??? ?? 2D ?? 3D?? ???.
  • img=? ???? ???.
• v2? V1 ?? V2? ?? ???? ?? ????? ?? ?? ???? ????.

from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import FiveCrop

fivecrop = FiveCrop(size=100)

fivecrop
# FiveCrop(size=(100, 100))

fivecrop.size
# (100, 100)

origin_data = OxfordIIITPet(
    root="data",
    transform=None
)

p500p394origin_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=[500, 394])
    # transform=FiveCrop(size=[600])
    # transform=FiveCrop(size=[600, 600])
)

p300_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=300)
)

p200_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=200)
)

p100_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=100)
)

p50_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=50)
)

p10_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=10)
)

p200p300_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=[200, 300])
)

p300p200_data = OxfordIIITPet(
    root="data",
    transform=FiveCrop(size=[300, 200])
)

import matplotlib.pyplot as plt

def show_images1(fcims, main_title=None):
    plt.figure(figsize=(10, 5))
    plt.suptitle(t=main_title, y=0.8, fontsize=14)
    titles = ['Top-left', 'Top-right', 'bottom-left',
              'bottom-right', 'center']
    for i, fcim in zip(range(1, 6), fcims):
        plt.subplot(1, 5, i)
        plt.title(label=titles[i-1], fontsize=14)
        plt.imshow(X=fcim)
    plt.tight_layout()
    plt.show()

plt.figure(figsize=(7, 9))
plt.title(label="Origin_data", fontsize=14)
plt.imshow(X=origin_data[0][0])
show_images1(fcims=p500p394origin_data[0][0], main_title="p500p394origin_data")
show_images1(fcims=p300_data[0][0], main_title="p300_data")
show_images1(fcims=p200_data[0][0], main_title="p200_data")
show_images1(fcims=p100_data[0][0], main_title="p100_data")
show_images1(fcims=p50_data[0][0], main_title="p50_data")
show_images1(fcims=p10_data[0][0], main_title="p10_data")
show_images1(fcims=p200p300_data[0][0], main_title="p200p300_data")
show_images1(fcims=p300p200_data[0][0], main_title="p300p200_data")

# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓
def show_images2(im, main_title=None, s=None):
    plt.figure(figsize=(10, 5))
    plt.suptitle(t=main_title, y=0.8, fontsize=14)
    titles = ['Top-left', 'Top-right', 'bottom-left',
              'bottom-right', 'center']
    if not s:
        s = [im.size[1], im.size[0]] 
    fc = FiveCrop(size=s) # Here
    for i, fcim in zip(range(1, 6), fc(im)):
        plt.subplot(1, 5, i)
        plt.title(label=titles[i-1], fontsize=14)
        plt.imshow(X=fcim) # Here
    plt.tight_layout()
    plt.show()

plt.figure(figsize=(7, 9))
plt.title(label="Origin_data", fontsize=14)
plt.imshow(X=origin_data[0][0])
show_images2(im=origin_data[0][0], main_title="p500p394origin_data")
# show_images2(im=origin_data[0][0], main_title="p500p394origin_data",
#              s=[500, 394])
show_images2(im=origin_data[0][0], main_title="p300_data", s=300)
show_images2(im=origin_data[0][0], main_title="p200_data", s=200)
show_images2(im=origin_data[0][0], main_title="p100_data", s=100)
show_images2(im=origin_data[0][0], main_title="p50_data", s=50)
show_images2(im=origin_data[0][0], main_title="p10_data", s=10)
show_images2(im=origin_data[0][0], main_title="p200p300_data", s=[200, 300])
show_images2(im=origin_data[0][0], main_title="p300p200_data", s=[300, 200])

? ??? PyTorch? FiveCrop? ?? ?????. ??? ??? PHP ??? ????? ?? ?? ??? ?????!