# im = cv2.copyMakeBorder(img, *pad, cv2.BORDER_CONSTANT, value=(self.pad_color,) * chns) # return im # def normalize(self, img): # img = img.astype("float32", copy=False) # img *= self.scale # img -= self.mean # img /= self.std # return img # # # def decode(self,...
bottom = int(round(dh - 0.1)), int(round(dh + 0.1)) left, right = int(round(dw - 0.1)), int(round(dw + 0.1)) image = cv2.copyMakeBorder(image, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color) # add border return image def load_image(image_path):...
bottom = int(round(dh - 0.1)) if self.center else 0, int(round(dh + 0.1)) left, right = int(round(dw - 0.1)) if self.center else 0, int(round(dw + 0.1)) #灰條填充 img = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_...
img = cv2.warpPerspective(img, M, dsize=(width, height), borderValue=(114,114,114))#opencv中的透视变换warpPerspective函数else:# affineimg = cv2.warpAffine(img, M[:2], dsize=(width, height), borderValue=(114,114,114))# Transform label coordinates 数据变化了,标签的坐标值也得跟着一起变n...
interpolation=cv2.INTER_LINEAR) top, bottom = int(round(dh - 0.1)), int(round(dh + 0.1)) # 80 80 left, right = int(round(dw - 0.1)), int(round(dw + 0.1)) # 0 0 im = cv2.copyMakeBorder(im, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color) # add border return...
"from dask.distributed import Client\n", "\n", "cluster = coiled.Cluster(n_workers=20)\n", "client = Client(cluster)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "Client\n",...