用draw_bbox拿到合适的crop_box以后,下面给出裁剪图片的代码。 defcrop_image(input_image_path, output_image_path, crop_box):""" Crop an image using the specified crop box. Parameters: input_image_path (str): Path to the in
elif y1 >= imgheight: # when patch height exceeds the image height y1 = imgheight - 1 #Crop into patches of size MxN tiles = image_copy[y:y+M, x:x+N] #Save each patch into file directory cv2.imwrite('saved_patches/'+'tile'+str(x)+'_'+str(y)+'.jpg', tiles) cv2.rectangle...
imgs.append(image.crop((i * w, j * h, (i + 1) * w, (j + 1) * h)))#image.crop():分割并将每一小块保存为单独的图像 return imgs 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 寻找小块的最佳匹配 #img.paste(images[index], (col * width, row * heig...
= image_copy(Range(y, y+M), Range(x, imgwidth));//save each patches into file directoryimwrite("saved_patches/tile" + a + '_' + b + ".jpg", tiles);rectangle(img, Point(x,y), Point(x1,y1), Scalar(0,255,0), 1);}else{// crop the patches of size MxNMat tiles = image...
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...
这个Image.crop() 方法帮助裁剪图像,我们可以指定作物的尺寸。这个crop()方法采用定义左、上、右和下像素坐标的4值元组. #importing the module from PIL import Image im = Image.open('D:/Image/Kingfisher.jpg') # Cropping the loaded image using crop() img_crop = im.crop((450,20,1000,500)) img...
Image 类包含很多操作图像区域的方法。 裁剪子矩形 crop()方法可以从图像中提取一个子矩形选区,如下: im = Image.open('E:/Images/5a2e2075f331d.png') box = (80, 80, 300, 300) region = im.crop(box) region 矩形选区区域由一个 $4$ 元元组决定,元组信息表示(左,上,右,下)的坐标。Pillow 库...
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...
mean(image[...,0]), np.mean(image[...,1]), np.mean(image[...,2]) # construct a blob from the image, set the input, and then perform a # forward pass of the network blob = cv2.dnn.blobFromImage(image, 1.0, (w, h), (b, g, r), swapRB=False, crop=False) net.set...
二、Image模块 三、format类 四、Mode类 五、convert类 六、size类 七、Palette类 八、Info类 九、new类 十、Copy 类 十一、Crop类 十二、Paste类 十三、Filter类 十四、Blend类 十五、Split 十六、Composite类 十七、Eval类 十八、Merge类 ...