def image2label(path,size_):
w = size_[0]
h = size_[1]
label_im=cv2.imread(path)
#修改图像的尺寸大小
new_array = cv2.resize(label_im, (w, h), interpolation=cv2.INTER_CUBIC)
data=np.array(new_array,dtype='int32')
#修改B通道的像素值
for i in range(data[:,:,0].shape[0]):
for j in range(data[:,:,0].shape[1]):
if data[:,:,0][i][j]>155:
data[:,:,0][i][j]=255
else:
data[:,:,0][i][j]=0
#修改G通道的像素值
for i in range(data[:,:,1].shape[0]):
for j in range(data[:,:,1].shape[1]):
if data[:,:,1][i][j]>155:
data[:,:,1][i][j]=255
else:
data[:,:,1][i][j]=0
#修改R通道的像素值
for i in range(data[:,:,2].shape[0]):
for j in range(data[:,:,2].shape[1]):
if data[:,:,2][i][j]>155:
data[:,:,2][i][j]=255
else:
data[:,:,2][i][j]=0
return data
if __name__ =='__main__':
import cv2
import numpy as np
from PIL import Image
#修改的尺寸大小
size_=[320,480]
img_path='/root/reid/reid_tutorial/train/0002_c1s1_000451_03.png'
label = image2label(img_path,size_)
#修改后的尺寸和修改后的像素值保存下来
save_img='./0002_c1s1_000451_03.png'
cv2.imwrite(save_img, label)
print(label[100])
