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Opencv学习笔记（五）
本次笔记的内容主要是实现对形状的检查，使用Opencv中的函数实现图片中图形的监测。 1、首先开始对原始图形进行预处理。 String path="../shapes.png"; Mat img; img=imread(path); cvtColor(img,imgGray,COLOR_BGR2GRAY); GaussianBlur(imgGray,imgBlur,Size(3,3),3,0); CanPYTORCH 笔记 DILATE 代码解读
dilate 完整代码路径：vincent-leguen/DILATE: Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models" (github.com) 1 main 函数 1.1 导入库 import numpy as np import torch from data.synthetic_dataset impopencv-dilate膨胀
opencv dilate
opencv dilate void cv::dilate( InputArray src, OutputArray dst, InputArray kernel, Point anchor, int iterations, int borderType, const Scalar& borderValue ) { CV_INSTRUMENT_REGION() morphOp( MORPH_DILATE,《python+opencv3.3视频教学 基础入门》膨胀与腐蚀 笔记
参考： https://blog.csdn.net/alw_123/article/details/83868878 https://www.jianshu.com/p/fc07d3065cf1 import cv2 as cv import numpy as np # 腐蚀（图像黑色区域侵蚀白色区域） def erode_demo(image): print(image.shape) gray = cv.cvtColor(image, cv.COLOR_Bopencv图像膨胀python代码
import numpy as np import cv2 I=cv2.imread("/home/xiaomingming/profile/xmm.jpg",cv2.IMREAD_GRAYSCALE) cv2.imshow("I",I) r=1 MAX_R=20 cv2.namedWindow("dilate",1) def nothing(*arg): pass cv2.createTrackbar("r",&quOpenCV（三）之图像形态学处理
OpenCV（三）之图像形态学处理）Morphology系列Morphology-Erode（腐蚀）Morphology-Dilate（膨胀）Morphology-开运算与闭运算Morphology-梯度运算Morphology-TOPHAT&BLACKHAT Morphology系列 在这一节中，我分析了关于腐蚀、膨胀的API手册，再运用openCV内置的MorphologyEx实现形态学的开、