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)) # 保存裁剪后的图像 cropped_img.save(output_path) # 示例使用 crop...
image = self.image.crop((int(x1 / self.imscale), int(y1 / self.imscale), x, y)) imagetk = ImageTk.PhotoImage(image.resize((int(x2 - x1), int(y2 - y1))) imageid = self.canvas.create_image(max(bbox2[0], bbox1[0]), max(bbox2[1], bbox1[1]), anchor='nw', image...
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...
def crop_around_center(image, width, height): """ Given a NumPy / OpenCV 2 image, crops it to the given width and height, around it's centre point """ image_size = (image.shape[1], image.shape[0]) image_center = (int(image_size[0] * 0.5), int(image_size[1] * 0.5)) if...
defcapture_screenshot_at_coordinates(x1, y1, x2, y2): # 获取整个屏幕的截图 screenshot = pyautogui.screenshot() # 裁剪出指定坐标范围内的区域 region = screenshot.crop((x1, y1, x2, y2)) returnregion # 开始截图 screenshot = capture_screenshot_at_coordinates(110,320,240,400) ...
# crop the image x,y,w,h = roi dst = dst[y:y+h, x:x+w] cv2.imwrite('calibresult.png',dst) 1. 2. 3. 4. 5. 6. 7. C++程序版本 6.1 C++程序集图像采集、参数输出、图像矫正于一体 #include<opencv2/opencv.hpp> #include<iostream> ...
A fork of the Python Image Library (PIL), the Pillow library offers an easy way through the crop() function for cropping images in Python. Here’s syntax: Image.crop(box=None) The box parameter accepts a tuple with four values of the four coordinates for the crop rectangle: left, upper...
convert_image_dtype(raw_image,tf.float32)#1、转换数据类型 image_resize=tf.image.resize_images(image, size=[180,200],method=1) image_resize1=tf.image.resize_image_with_crop_or_pad(image_resize, target_height=100, target_width=100) image_resize2=tf.image.crop_to_bounding_box(image_resize...
(image_array, landmarks): """ crop face according to eye,mouth and chin position :param image_array: numpy array of a single image :param landmarks: dict of landmarks for facial parts as keys and tuple of coordinates as values :return: cropped_img: numpy array of cropped image """...
= Image.open('guido.jpg') # 从吉多的照片上剪裁出吉多的头 guido_head = guido_image.crop((...