import cv2

imgpath = "./0.png"#圖片路徑
saveimg = r"./0.bgr"轉(zhuǎn)化為bgr后要保存的路徑

img = cv2.imread(imgpath)
save_img_size = 416

if img is None:
    print("img is none")
else:
    img = cv2.resize(img, (save_img_size, save_img_size))
    (B, G, R) = cv2.split(img)
    with open(saveimg, 'wb') as fp:
        for i in range(save_img_size):
            for j in range(save_img_size):
                fp.write(B[i, j])
        for i in range(save_img_size):
            for j in range(save_img_size):
                fp.write(G[i, j])
        for i in range(save_img_size):
            for j in range(save_img_size):
                fp.write(R[i, j])

    print("save success")

from PIL import Image
import numpy as np
import os
import cv2
 
img_dir='./concrete_4_predict_data_gray/v_215_g01_c01/'#圖片所在位置    
save_dir='./concrete_4_predict_data_gray/v_215_g01_c01/'#保存圖片的位置
 
for img_name in os.listdir(img_dir):
    img_path = img_dir + img_name
    print('正在處理',img_name)
    img = Image.open(img_path)
    fake_rgb = img.convert('RGB')
    fake_bgr=cv2.cvtColor(np.asarray(fake_rgb),cv2.COLOR_RGB2BGR)
    cv2.imwrite(save_dir + img_name[0:-4] + '.jpg', fake_bgr)
    cv2.COLOR_GRAY2BGR