splitSite.append(image.size[0]) # 对图片进行切割 for index in range(1, len(splitSite) - 1): box = (splitSite[index - 1], 0, splitSite[index], image.size[1]) # box中四个参数,分别为距离图片左侧、上侧、右侧、下侧的像素距离 new_image = image.c
cv2.imwrite('saved_patches/'+'tile'+str(x)+'_'+str(y)+'.jpg', tiles) cv2.rectangle(img, (x, y), (x1, y1), (0, 255, 0), 1) else: #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/'+...
...如果裁剪区域的坐标超出了图像的边界,将会引发一个ValueError异常。因此,在调用crop()函数之前,最好先检查裁剪区域的坐标是否有效。...总结 Numpy切片和Pillow.crop()都是非交互式的裁剪方法,适用于在代码中直接指定裁剪区域。 cv2.selectROI()是一个交互式的裁剪方法,允许用户通过图形界面选择ROI。
img_obj2defsave_image(img_obj,filename):img_obj=cv2.cvtColor(img_obj,cv2.COLOR_RGB2BGR)cv2....
You can read the mode of an image through the mode attribute. This is a string containing one of the above values. 3.等比例压缩、裁剪压缩、缩略(水印)图 region = (x1,y1,x2,y2)#裁切图片cropImg = pil_im.crop(region)#保存裁切后的图片cropImg.save(r'positive/'+mat_file+'_'+str(col...
import os import cv2 import numpy as np #有时候我们需要将图片随机裁剪 def random_crop(image_ref,image_dis,num_output,size): h,w=image_ref.shape[:2] random_h=np.random.randint(h-size,size=num_output) random_w=np.random.randint(w-size,size=num_output) patches_dis=[] patches_ref=[...
cropped1.save("./test_and_verification/cut_test1.jpg") print(cropped1.size) 输出 (50,80) """ size的输出是图片的(宽度、高度) crop需要给定一个box参数,box是一个四元组,元组中元素的顺序是需要裁剪得到的图片在原图中的左、上、右、下坐标,即(left, upper, right, lower) ...
path.join(save_path, new_name) print(save_name) cv2.imwrite(save_name, crop_img) if __name__ == '__main__': main() 生成结果: 2.2 随机贴图扩充数据 数据存储格式: 输入文件夹: data/fire_cut data/fire_bg/JPEGImages/***.jpg data/fire_bg/Annotations/***.xml 注意:此处作为背景的...
def decodeAndCrop(inputImage): print(str(inputImage)) image = cv2.imread(str(inputImage)) qrCodeDetector = cv2.QRCodeDetector() decodedText, points, _ = qrCodeDetector.detectAndDecode(image) qr_data = decodedText.split(",") print("qr data from fucntion: {}".format(qr_data)) ...
Be mindful of image formats when using OpenCV and Pillow together. OpenCV uses BGR color ordering by default, while Pillow uses RGB. Always convert betweencv2.cvtColor(image, cv2.COLOR_BGR2RGB)andcv2.COLOR_RGB2BGRwhen switching between these libraries to avoid color mismatches. ...