from PIL import Image def crop_image_by_coordinates(image_path, output_path, left, upper, right, lower): # 打开图像 img = Image.open(image_path) # 根据坐标裁剪图像 cropped_img = img.crop((left, upper, right, lower)) # 保存
img = cv2.imread('../img/dog.jpg')# Define ROI coordinatesx1, y1 =10,10# top-left cornerx2, y2 =200,200# bottom-right corner# Crop imagecropped_img = img[y1:y2, x1:x2] cv2.imshow("Original Image", img) cv2.imshow("Cropped Image", cropped_img) cv2.waitKey(0) cv2.destroy...
mcorners *= (1. / image_sf); // scale the corner coordinates image_points.push_back(corners); object_points.push_back(vector<cv::Point3f>()); vector<cv::Point3f>& opts = object_points.back(); opts.resize(board_n); for (int j = 0; j < board_n; j++) { opts[j] = cv::...
Cloudinary supports powerful transformations. You can even combine multiple transformations together as part of a single transformation request, e.g. crop an image and add a border. In certain cases you may want to perform additional transformations on the result of the previous transformation request...
crop_box (tuple): Crop box coordinates (left, upper, right, lower). Returns: None """# Open imageimg = Image.open(input_image_path)# Crop imagecropped_img = img.crop(crop_box)# Save cropped imagecropped_img.save(output_image_path)print("Image cropped and saved successfully.") ...
= Image.open('guido.jpg') # 从吉多的照片上剪裁出吉多的头 guido_head = guido_image.crop((...
image_w2 = image_size[0] * 0.5 image_h2 = image_size[1] * 0.5 # Obtain the rotated coordinates of the image corners rotated_coords = [ (np.array([-image_w2, image_h2]) * rot_mat_notranslate).A[0], (np.array([ image_w2, image_h2]) * rot_mat_notranslate).A[0], ...
When working at scale or needing smart automation, use Cloudinary’s AI-driveng_autocropping feature to handle content-aware cropping. This feature leverages AI to detect focal points and optimally crop the image without manual intervention. It’s ideal for batch processing product images or creatin...
self.image = Image.open(path) # open image self.width, self.height = self.image.size self.imscale = 1.0 # scale for the canvaas image self.delta = 1.3 # zoom magnitude # Put image into container rectangle and use it to set proper coordinates to the image ...
The program crops an image. The cropped image is saved on disk. cropped = tatras.crop((100, 100, 350, 350)) Thecropmethod takes a 4-tuple defining the left, upper, right, and lower pixel coordinates. Rotating image with Pillow