搜索资源列表
mosaic
- Python opencv 基于sift 特征实现两张图片拼接(Python opencv realization of two picture splicing based on SIFT features)
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)
test1
- 利用OpenCV实现张正友标定法对相机的标定，源码为C++语言，包含了样例图片(Camera calibration using Opencv)
OCR自己培训识别（支持数字和字母培训识别）
- OCR培训文件建立.exe工具 可以快速建立图片样本，并进行培训 OCR识别.exe 工具，可以对培训之后进行 OCR识别（支持数字和字母） 内有说明书，方便对工具的操作使用 对图像处理，OCR识别 都有一定的帮助和借鉴(OCR training files build.Exe tools to quickly set up picture samples and train them OCR identifies the.Exe tool and allows for OCR reco
img_show
- pil,matplotlib,opencv三种方式显示图像,封装成函数,输入参数为np.array或者文件路径,包含了显示的图片文件(PIL, Matplotlib, opencv, the three ways of displaying images, encapsulated into functions, input parameters to np.array or file paths, including the displayed picture files)
cameracaliberation
- 这是利用Opencv编写的相机程序，利用张正友相机标定原理，只需自己对棋盘格拍摄不同角度和方向的图片12张以上，就可以得到较为精确的相机内外参(This is the use of Opencv prepared camera program, the use of Zhang Zhengyou camera calibration principle, as long as their own checkerboard shot different angles and directions
ConsoleApplication7
- 调用OPENCV库，使用水平法、垂直投影法进行图片分割，调试通过。使用class封装方法(Call OPENCV library, use the horizontal method, vertical projection method for image segmentation, debug and pass. Using class encapsulation method)
WeChat_jump
- 电脑模拟按键实现微信跳一跳自动跳跃。首先就是在上传的autojump.png图片上进行模板匹配，匹配出小人，并计算小人的坐标；如上图所示，框出来的用红色箭头所指即为小人的坐标！ 然后就是通过Canny()函数进行图像的边缘检测，这里使用的阈值为5，10基本可以检测出所有边缘信息(Computer simulation keys to achieve WeChat jump one jump automatically. First of all, template matching is per
模板匹配
- 自己用的模板匹配 ，自己拍个图片，把小的部分单独截出来(Match your own template, take a picture of yourself, and cut the small part out alone)
write_path
- 利用opencv实现对文件夹下文件进行读取，实现平台visual studio 2012+Opencv 2.4.13(using opencv to realize the picuture read)
opencv
- 最全的人脸库，图片格式多种多样，定能满足你做人脸识别的需要(The most complete face library, a variety of picture formats, can meet the needs of your face recognition.)
opencvsharp-master
- 图片识别及处理，基本标记检测，二值化等等(Image recognition and processing, basic label detection, two value, and so on)
quantize
- 将图片首先利用opencv转换为二值图像，突出线条，在进行图片线条提取、(First, the picture is converted to a two value image with a opencv, the line is highlighted, and the line extraction is performed.)
opencv_car_location-master
- 可以识别出图片中的车牌号码,并定位到车牌号码的牌子的方框(opencv_car_location-master)
SLAM
- 利用orb特征对比连续关键帧，利用onepointRANSAC计算旋转角度（此代码处理的是在平面上运动的小车与水平方向成38度的摄像头拍摄的，提取关键帧之后的连续图片）(The use of orb features between continuous key frames, calculate the rotation angle by onepointRANSAC (this code processing is shooting 38 camera into the car and th
lifeface
- 使用了于仕琪老师训练的分类器，使用vs2013-64位平台，图片需从配置管理器调试中手动输入(Using the classifier of teacher Yu Shiqi training, using the vs2013-64 bit platform, the picture needs to be manually entered from the configuration manager debug.)
deep-learning-opencv
- opencv3.3以上的版本调用caffe模型提前训练好的模型进行图片识别。(The above version of opencv3.3 calls the Caffe model in advance training model for image recognition.)
select
- 本程序实现了人脸图片的快速采集，使用环境Python3.x,需要电脑连接摄像头，打开PythonIDLE，按下F5运行代码即可进行采集图片(This program has achieved the rapid acquisition of face images. The Python3.x of the environment needs computer to connect the camera, open PythonIDLE and press F5 to run the code
Image stitching
- 通过opencv将两幅图片进行图像拼接，可以较好的矫正位置偏移，图像形变(The two images are spliced by opencv, and the position offset can be corrected well and the image deformation can be deformed.)
on_trackbar
- 网上很多opencv的帧差法资料，但是大都直接调用视频，或者调用摄像头，调用文件夹下的图片库的资料比较少，通过网上整理资料，终于利用opencv按照帧来处理图片。 使用opencv批量读取文件夹下的视频帧批量读取图片； 使用opencv批量读取图片，二帧差分法二帧差法；(There are many opencv frame difference data on the Internet, but most of them call the video directly or cal