搜索资源列表
AutoCanny-master
- Zero-parameter, automatic Canny edge detection with C++ and OpenCV. This is a conversion of Adrian Rosebrock's python scr ipt to c++. Everything is contained in the include folder in auto_canny.h There's an simple code in src/main.cpp to rea
Ball_Tracking
- This is a Python application that uses the OpenCV library (version 2) to track the movement of balls during a video. It tracks the balls with a combination of color filtering
车牌抠图
- 通过标准形状的车牌作为模板，匹配车辆上的车牌，并框出车辆上的车牌。(Through the standard shape of the license plate as a template, matching the license plate on the vehicle, and frame the license plate on the vehicle.)
imgs_show
- 在python3.6上,采用三种方式处理图片并显示的对比(On python3.6, the contrast of three ways to deal with pictures and display)
lifanko-open-circle-master
- 规定图片上的两个圆形区域，两圆之间区域向左旋转45°，小圆之间区域向右旋转45°(The two circular areas of the picture are specified. The area between the two circles rotates 45 degrees to the left, and the area between the small circles rotates 45 degrees to the right.)
motion_detector
- （Python与OpenCV）能够通过固定摄像头检测运动物体(Camera detection of moving objects)
FaceRecoginition
- 基于opencv与python的人脸识别程序
动态头像一键生成工具
- 自动拼接的人脸漫画头像 输入：一张带有表情的前景清晰的人脸图片 输出：根据“脸萌”五官组建好的人脸头像 编程语言：Python2.7.10 使用框架：Flask，Oxford，Face++，OpenCV，Numpy 等以及其它一些 Python 模块 编程环境：Mac OS X 10.11.2
Python_VLPR-master
- 基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry
depth
- 使用 intel realsense D435 在opencv python平台下测摄像头与被测物体之间的距离。(The distance between the camera and the object under test is measured under the platform.)
edge_detection
- 使用canny算子对图像进行边缘检测，用于RCNN的目标检测。(Edge detection using Canny operator)
python_PlateRecogntion
- 基于python下的车牌识别S1IG135.【已完成】基于Python3.7+OpenCV的车牌识别系统(License plate recognition based on Python s1ig135 [completed] license plate recognition system based on Python 3.7 + opencv)
flask
- python调用minist opencv接口