Z = image.reshape((-1, 3)) Z = np.float32(Z) criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0) K = 8 ret, label, center = cv2.kmeans(Z, K, None, criteria, 10, cv2.KMEANS_RANDOM_CENTERS) center = np.uint8(center) res = center[label.flatten()]...
1、cv2.imread()接口读图像,读进来直接是BGR 格式数据格式在 0~255,通道格式为(W,H,C) 2、caffe.io.load_image()读进来是RGB格式和 0~1(float) 因此,cv2.imread()读取的数据,需要进过转换后,才和caffe.io.load_image()相同,例如: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 image=caffe.io...
img1 = np.rint(img1).astype('uint8') return img1,contriR,contriG, contriB def mySVDcompression(img_matrix,K): m,n = img_matrix.shape A = np.mat(img_matrix, dtype = float) # 计算AA'特征值和向量 lambda1, U = np.linalg.eig(A.dot(A.T)) # 计算累积贡献率 contri = contributio...
blurred = cv2.filter2D(image, -1, motion_blur_kernel)# convert to uint8cv2.normalize(blurred, blurred,0,255, cv2.NORM_MINMAX) blurred = np.array(blurred, dtype=np.uint8)returnblurredelse:returnimagedefaugment_hsv(img, hgain =0.0138, sgain =0.678, vgain =0.36): r = np.random.uniform...
420toRGB := 2 ; OpaqueKind Static DETAIL_OPAQUE_KIND_UNKNOWN := 0 Static DETAIL_OPAQUE_KIND_BOOL := 1 Static DETAIL_OPAQUE_KIND_INT := 2 Static DETAIL_OPAQUE_KIND_INT64 := 3 Static DETAIL_OPAQUE_KIND_DOUBLE := 4 Static DETAIL_OPAQUE_KIND_FLOAT := 5 Static DETAIL_OPAQUE_KIND_UINT64...
cv2.THRESH_TOZERO_INV : THRESH_TOZERO 的反转 #直方图统计 cv2.calcHist(images,channels,mask,histSize,ranges) images: 原图像图像格式为unit8,或float32,当传入函数时应该用[]括起来,例如[img] channels:如果传入的图像是灰度值,那他的值就是[0],如果图像是彩色图像,传入的参数可以是[0][1][2],他们...
cv2.imread(),返回的是个数组ndarray(dtype=uint8),其中数值我们也可以更改。 imread第二个参数有多种方式让我们读取: cv2.IMREAD_COLOR (默认读取方式,也可以用1来代替): 读取彩色图片,不包括alpha值(透明度) cv2.IMREAD_GRAYSCALE (也可以用0来代替): 图像灰度处理,这样压缩了了图片尺寸,但也会丢失特征。
image = cv2.imread('path_to_image.jpg') mask = np.zeros(image.shape[:2], np.uint8) 创建临时数组 bgdModel = np.zeros((1, 65), np.float64) fgdModel = np.zeros((1, 65), np.float64) 定义矩形区域 rect = (50, 50, 450, 290) ...
importrandomdefsp_noise(image,prob):'''添加椒盐噪声prob:噪声比例'''output=np.zeros(image.shape,np.uint8)thres=1-probforiinrange(image.shape[0]):forjinrange(image.shape[1]):rdn=random.random()ifrdn<prob:output[i][j]=0elifrdn>thres:output[i][j]=255else:output[i][j]=image[i][j...
array([[[round(180*float(x-302)/298), 255, 255]]], dtype=np.uint8) line_color = [int(c) for c in cv2.cvtColor(color_pixel, cv2.COLOR_HSV2BGR)[0][0]] cv2.line(canvas, (x, 0), (x, 147), line_color) # 如果定义圆的线宽大于半斤,则等效于画圆点,随机在画面右下角的框内...