cv2.IMREAD_UNCHANGED) #查看打印图像的shape shape = img.shape print(shape) #判断通道数是否为3通道或4通道 if shape[2] == 3 or shape[2] == 4 : #将彩色图转化为单通道图 img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) cv2.imshow("gray_image",img_gray) cv2.imshow("image", img) c...
def create_descriptor(folder, image_path, feature_detector): if not image_path.endswith('png'): print('skipping %s' % image_path) return print('reading %s' % image_path) img = cv2.imread(os.path.join(folder, image_path), cv2.IMREAD_GRAYSCALE) keypoints, descriptors = feature_detector...
IplImage* img_8uc12 = cvLoadImage("flower1.jpg",CV_LOAD_IMAGE_GRAYSCALE); IplImage* img_edge12 = cvCreateImage(cvGetSize(img_8uc12),8,1); IplImage* img_8uc3 = cvCreateImage(cvGetSize(img_8uc1),8,3); cvThreshold(img_8uc12,img_edge12,128,255,CV_THRESH_BINARY); CvMemStorage* stor...
cv2.imshow('graycsale image',img_grayscale) # waitKey() waits for a key press to close the window and 0 specifies indefinite loop cv2.waitKey(0) # cv2.destroyAllWindows() simply destroys all the windows we created. cv2.destroyAllWindows() # The function cv2.imwrite() is used to writ...
data = np.float32(image).reshape((-1, 3)) 在这里,image是我们先前加载的图像。 在此脚本中,我们使用K(3,5,10,20和40)的几个值执行了聚类过程,以查看生成的图像如何变化。 例如,如果我们希望生成的图像仅具有3颜色(K = 3),则必须执行以下操作: 加载BGR 图片: 代码语言:javascript 代码运行次数:0 复...
(x,y); j++; } } //if(DEBUG) // cout << out << "\n===\n"; return out; } int _tmain(int argc, _TCHAR* argv[]) { Mat input = imread("haha_1.jpg",CV_LOAD_IMAGE_GRAYSCALE); char res[20]; int i = 0; //vector<CharSegment> output; //Threshold input image Mat img...
if (!success) { break; } // Convert to grayscale 将当前帧图像转换为灰度图 cvtColor(curr, curr_gray, COLOR_BGR2GRAY); // Calculate optical flow (i.e. track feature points) 光流法追寻特征点 //输出状态矢量(元素是无符号char类型,uchar),如果在当前帧发现前一帧角点特征则置为1,否则,为0 ...
depth_frame_cmap) # Convert grayscale image frame to 'bgr' (opencv format) frame = cv2.cvtColor(r_frame, cv2.COLOR_GRAY2BGR) # Get image frame dimensions img_h, img_w = frame.shape[0:2] bbox = None # Get detection NN output inDet = qDet.tryGet() if inDet is not None: # ...
if (img.channels() != 1) cvtColor(img, img, COLOR_BGR2GRAY); Mat thresh_img_new = img.clone(); icvBinarizationHistogramBased( thresh_img_new ); // process image in-place SHOW("New binarization", thresh_img_new); if( flags & CV_CALIB_CB_FAST_CHECK) ...
Here is my code: int main(int argc, const char* argv[]) { try { cv::Mat src_host = cv::imread("../data/basketball1.png", cv::IMREAD_GRAYSCALE); cv::cuda::GpuMat dst, src; src.upload(src_host); cv::cuda::threshold(src, dst, 128.0, 255.0, CV_THRESH_BINARY); cv::Mat ...