-
全屏打开图片
driver.maximize_window()
-
截图
driver.save_screenshot("test.jpg")
-
opencv裁掉黑边
import cv2 def change_size(read_file): # 读取图片 默认参数 1,加载彩色,忽略透明 image = cv2.imread(read_file, 1) # 中值滤波,去除黑色边际中可能含有的噪声干扰 img = cv2.medianBlur(image, 5) # 二值化,具有RGB三通道 _,binary_image = cv2.threshold(img, 15, 255, cv2.THRESH_BINARY) # 颜色空间转换,转为单通道的灰度图像 binary_image = cv2.cvtColor(binary_image, cv2.COLOR_BGR2GRAY) # 获取宽高 x, y = binary_image.shape # 记录黑色像素坐标点 edges_x = [] edges_y = [] for i in range(x): for j in range(y): if binary_image[i][j] == 255: edges_x.append(i) edges_y.append(j) # 获取上、下、左、右边界坐标和宽高度 left = min(edges_x) # 左边界 right = max(edges_x) # 右边界 width = right - left # 宽度 bottom = min(edges_y) # 底部 top = max(edges_y) # 顶部 height = top - bottom # 高度 # 图片截取 pre1_picture = image[left:left + width, bottom:bottom + height] # 返回图片数据 return pre1_picture if __name__ == '__main__': file_names = 'test.jpg' template = change_size(file_names) cv2.imwrite("test2.jpg", template)
参考链接: