import cv2 as cv
import os
all_file_dir = 'C:/Users/Terry/Desktop/car'
infer_label_file = os.path.join(all_file_dir, "train_masks")
infer_label_file1 = os.path.join(all_file_dir, "train_mask")
infer_label_name = os.listdir(infer_label_file)
print(infer_label_name)
w = 0
for label_name in infer_label_name:
label_path = os.path.join(infer_label_file, label_name)
##这里的代码是原先二分类问题0-255转为灰度值为0-1 的代码,可以略去
"""
label = cv.imread(label_path)
label = cv.cvtColor(label, cv.COLOR_BGR2GRAY)
# cv.imshow("11", label)
# cv.waitKey(0)
ret, label = cv.threshold(label, 254, 1, cv.THRESH_BINARY)
cv.imwrite(label_path, label)
"""
gif = cv.VideoCapture(label_path)
ret, frame = gif.read()
#cv.imshow("12",frame)
#cv.waitKey(0)
A=os.path.join(infer_label_file1,os.path.splitext(os.path.split(label_path)[-1])[0]+".jpg")
cv.imwrite(A, frame)
gif的单帧图像批量转jpg图像
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转载自blog.csdn.net/ALZFterry/article/details/109637715
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