crop是个布尔值,表明是否要裁剪去除黑边'''defrotate_image(img, angle, crop): h, w = img.shape[:2]#旋转角度的周期是360°angle %= 360#用OpenCV内置函数计算仿射矩阵M_rotate = cv2.getRotationMatrix2D((w/2, h/2), angle, 1)#得到旋转后的图像img_rotated = cv2.warpAffine(img, M_rotate,...
>> python run_augmentation.py imagenet_samples more_samples 1000 --rotate_angle_vari 180 --p_rotate_crop 0.5 其中imagenet_samples为一些从imagenet图片url中随机下载的一些图片,--rotate_angle_vari设为180方便测试全方向的旋转,--p_rotate_crop设置为0.5,让旋转裁剪对一半图片生效。扰动增加后的1000张图...
>> python run_augmentation.py imagenet_samples more_samples 1000 --rotate_angle_vari 180 --p_rotate_crop 0.5其中imagenet_samples为一些从imagenet图片url中随机下载的一些图片,--rotate_angle_vari设为180方便测试全方向的旋转,--p_rotate_crop设置为0.5,让旋转裁剪对一半图片生效。扰动增加后的1000张图片...
rotation_matrix=cv2.getRotationMatrix2D(center,angle,1.0) 1. 3.5 执行图像旋转 现在,我们可以执行图像旋转操作了。使用cv2.warpAffine()函数来执行旋转操作,它的参数包括输入图像、旋转矩阵和输出图像的尺寸。 在这个例子中,我们将旋转后的图像保存在rotated_image变量中。 rotated_image=cv2.warpAffine(image,rotat...
pointlist = [rotate_point(x, y, centerX, centerY, face.angle)forx, yinlst] srcTriangle = np.array([ pointlist[0], pointlist[1], pointlist[2], ], dtype=np.float32) dstTriangle = np.array([ (0,0), (0, crop_size -1), ...
image,[box]) mask_image = cv2.warpAffine(mask_image, M, center) rotated_box = generate_bbox_from_mask(mask_image)# print 'rotated_box shape: ', np.shape(rotated_box)return rotated_box ''' rotate single image with random angle :param image: image :param gt_boxes: bounding box in...
calculated angle (h, w) = img2.shape[:2] center = (w // 2, h // 2) M = cv2.getRotationMatrix2D(center, angle, 1.0) rotated_frame = cv2.warpAffine(img2, M, (w, h), flags=cv2.INTER_CUBIC, borderMode=cv2.BORDER_REPLICATE) cv2.imwrite('rotated_image.jpg', rotated_f...
示例2: cv_rotate ▲点赞 6▼ # 需要导入模块: import cv2 [as 别名]# 或者: from cv2 importwarpAffine[as 别名]defcv_rotate(image, landmarks, heatmap, rot, scale, resolution=256):img_mat = cv2.getRotationMatrix2D((resolution//2, resolution//2), rot, scale) ...
private static string detectBarcode(string fileName, double thresh, bool debug = false, double rotation = 0) { Console.WriteLine("\nProcessing: {0}", fileName); // load the image and convert it to grayscale var image = new Mat(fileName); if (rotation != 0) { rotateImage(image...
1 Answer Sorted by: 1 It seems you're trying to perform skew correction. Instead of using cv2.HoughLinesP to find the angle and rotate the object, you can use cv2.minAreaRect to find the angle then cv2.getRotationMatrix2D + cv2.warpAffine to deskew the image. Input -> ...