图1.jpg
读取图片
filename = '1.jpg' ## [Load an image from a file] img = cv2.imread(filename) img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) plt.imshow(img)
图像 缩放
resize=cv2.resize(img,(600, 600)) plt.imshow(resize)
img=cv2.resize(img, (h, w)) # 最后彩蛋
图片翻转
dst = cv2.flip(img, 0) plt.imshow(dst)
图片旋转
rows,cols,h = img.shape M = cv2.getRotationMatrix2D(((cols-1)/2.0,(rows-1)/2.0),45, 0.7) dst = cv2.warpAffine(img,M,(cols,rows)) plt.imshow(dst)
亮度调节
rows, cols, chunnel = img.shape blank = np.zeros([rows, cols, chunnel], img.dtype) dst = cv2.addWeighted(img, 0.6, blank,0.6,0.6) plt.imshow(dst)
随机裁剪
import random import math class RandomErasing(object): def __init__(self, EPSILON=0.5, sl=0.02, sh=0.4, r1=0.3, mean=[0., 0., 0.]): self.EPSILON = EPSILON self.mean = mean self.sl = sl self.sh = sh self.r1 = r1 def __call__(self, img): if random.uniform(0, 1) > self.EPSILON: return img for attempt in range(100): area = img.shape[0] * img.shape[1] target_area = random.uniform(self.sl, self.sh) * area aspect_ratio = random.uniform(self.r1, 1 / self.r1) h = int(round(math.sqrt(target_area * aspect_ratio))) w = int(round(math.sqrt(target_area / aspect_ratio))) # print(img,h,w) ''' 已经知道裁剪后的长和宽 只需按照 x和y进行保存即可 ''' # 此处插入代码 return img erase = RandomErasing() img2=erase(img) plt.imshow(img2)
品，细品！
