blackImage = np.uint8(np.absolute(blackBins)) #必须有类型的转化,否则cv2.findContours方法报错 cropImageDict, wMean, hMean = search_outline(blackImage) bin_arrays = normalize_images(wMean,hMean,cropImageDict,CUT_DIR) #该方法就是循环使用normalize_bins方法 1. 2. 3. 4. 5. 6. 7. 8. 9....
裁剪操作可以用于去除图像边缘的无用信息、调整图像的组成或者创建更密集的图像副本等。 crop = iaa.Crop(percent=(0, 0.3)) # crop image corp_image = crop.augment_image(image) ia.imshow(corp_image) 1. 2. 3. 图像剪切Shearing 剪切图像随机0到40度,错切变换会将图像的一部分按照一定角度进行平移,从...
imread('lanka_safari.jpg') # 沿着横纵轴放大1.6倍,然后平移(-150,-240),最后沿原图大小截取,等效于裁剪并放大 M_crop_elephant = np.array([ [1.6, 0, -150], [0, 1.6, -240] ], dtype=np.float32) img_elephant = cv2.warpAffine(img, M_crop_elephant, (400, 600)) cv2.imwrite('lanka_...
(dst, CV2.Crop(src.MAT, size)) Return dst } isContinuous() { Return this.MAT.isContinuous() } Reshape(cn, rows := 0) { dst := CV2.MAT() tomat(dst, this.MAT.Reshape(cn, rows)) Return dst } Row(rowing) { imgrow := CV2.MAT() tomat(imgrow, this.MAT.Row(rowing)) Return ...
importcv2importnumpy as np#读取一张斯里兰卡拍摄的大象照片img = cv2.imread('lanka_safari.jpg')#沿着横纵轴放大1.6倍,然后平移(-150,-240),最后沿原图大小截取,等效于裁剪并放大M_crop_elephant =np.array([ [1.6, 0, -150], [0,1.6, -240] ...
("OpenCV.CV.CASCADECLASSIFIER") Return CascadeClassifier } Static Crop(Img, Pos) { x := Pos[0] y := Pos[1] Width := Pos[2] Height := Pos[3] Row_Array := Array() Col_Array := Array() CV := OpenCV.CV_Init() Mat := OpenCV.MAT_Init() Loop Height Row_Array.Push(Img.Row(...
importcv2importnumpy as np#读取一张斯里兰卡拍摄的大象照片img = cv2.imread('lanka_safari.jpg')#沿着横纵轴放大1.6倍,然后平移(-150,-240),最后沿原图大小截取,等效于裁剪并放大M_crop_elephant =np.array([ [1.6, 0, -150], [0,1.6, -240] ...
resize(img, (new_w, new_h)) # 图片crop,索引设置和numpy相同 cropped_img = img[:, 280:1000, 200:600] # 读取后的图片默认是BGR,BGR转RGB rgb_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # 保存图片 cv2.imwrite(img_file, img)
import cv2 def crop_to_aspect_ratio(image, target_aspect_ratio=(90, 90)): height, width = image.shape[:2] target_width, target_height = target_aspect_ratio # 计算原始图像的宽高比 original_aspect_ratio = width / height # 确定裁剪区域的起始点和大小 if original_aspect_ratio > target_aspe...
(cv2.CV_CAP_PROP_FRAME_COUNT)) # Coordonnées du coin supérieur gauche du rectangle de recadrage x, y = 0, 0 # Largeur et hauteur du rectangle de recadrage crop_width, crop_height = 1034, 1148 crop_width_end = crop_width // 10 crop_height_end = crop_height // 10 # ...