图像滑动窗口分割

import cv2
import os

def sliding_window(image, stepSize, windowSize):
    # slide a window across the image
    for y in range(0, image.shape[0], stepSize[1]):
        for x in range(0, image.shape[1], stepSize[0]):
            # yield the current window
            yield (x, y, image[y:y + windowSize[1], x:x + windowSize[0]])


# 返回滑动窗结果集合，本示例暂时未用到
def get_slice(image, stepSize, windowSize):
    slice_sets = []
    for (x, y, window) in sliding_window(image, stepSize, windowSize):
        # if the window does not meet our desired window size, ignore it
        if window.shape[0] != windowSize[1] or window.shape[1] != windowSize[0]:
            continue
        slice = image[y:y + windowSize[1], x:x + windowSize[0]]
        slice_sets.append(slice)
    return slice_sets

if __name__ == '__main__':
    dir_ = r'D:\DL_Code\dataset\season3_data\train'
    dir_result_img = r'D:\DL_Code\dataset\season3_data\slide_result\img'
    dir_result_mask = r'D:\DL_Code\dataset\season3_data\slide_result\mask'
    if os.path.exists(dir_result_img)==False:
        os.makedirs(dir_result_img)
    if os.path.exists(dir_result_mask)==False:
        os.makedirs(dir_result_mask)
    file_list = os.listdir(dir_)
    
    for file_ in file_list:
        file_name = os.path.join(dir_,file_)  
        mask_file = file_name.replace('train', 'train_mask').replace('jpg', 'png')
        image = cv2.imread(file_name)
        mask_image = cv2.imread(mask_file)
        # 自定义滑动窗口的大小
        w = image.shape[1]
        h = image.shape[0]

        # 本代码将图片分为3×3，共九个子区域，winW, winH和stepSize可自行更改
        (winW, winH) = (int(w/4),int(h/4))
        stepSize = (int(w/8), int(h/8))
        cnt = 0
        for (x, y, window) in sliding_window(image, stepSize=stepSize, windowSize=(winW, winH)):
            # if the window does not meet our desired window size, ignore it
            if window.shape[0] != winH or window.shape[1] != winW:
                continue
            slice_img = image[y:y+winH,x:x+winW]
            slice_mask = mask_image[y:y+winH,x:x+winW]
            #print(slice_img.shape)
            mean_mask_value =  slice_mask.mean()
            #cnt+=1
            #print(cnt)
            if mean_mask_value==0.0:
                save_name_img = os.path.join(dir_result_img,file_[:-4]+'_'+str(cnt)+'.png')  
                save_name_mask = os.path.join(dir_result_mask,file_[:-4]+'_'+str(cnt)+'.png') 
                cv2.imwrite(save_name_img,slice_img)
                #cv2.imwrite(save_name_mask,slice_mask)
                cnt+=1