This OpenCV tutorial is a very simple code example of GPU Cuda optical flow in OpenCV written in c++. The configuration of the project, code, and explanation are included for farneback Optical Flow method. Farneback algorithm is a dense method that is used to process all the pixels in the given image. The dense methods are slower but more accurate as all the pixels of the image are processed. In the following example, I am displaying just a few pixes based on a grid. I am not displaying all the pixes. In the opposite to dense method the sparse method like Lucas Kanade using just a selected subset of pixels. They are faster. Both methods have specific applications. Lucas-Kanade is widely used in tracking. The farneback can be used for the analysis of more complex movement in image scene and furder segmentation based on these changes. As dense methods are slightly slower, the GPU and Cuda implementation can lead to great performance improvements to calculate optical flow for all pixels o
LBP cascade for Car detection in Opencv
LBP ( included to download) and Haar features in OpenCV detectMultiscale are one of the most simple and also powerful (Old sure) to detect something. In this article is a pre-trained LBP cascade for car detection. Code and basic info. The results are not that bad. Check the video and enjoy a pre-trained cascade.
Opencv cascade for car detection conditions of use
Also, Do not worry about the condition of use. Use only on your own risk. That's it. The dataset to train this cascade is only mine. I also colect positive and negative data. I just want to say, that there is also no conditions based on the datasets. There is no others conditions of use. Maybe check the Opencv traincascade utility. Thanks. Yes share and cite. Just small minimal condition.
Download HERE
LBP cascade properties for car detection
<!--
This is just basic 5 stage haar cascade car detector develop by
V.K. from https://funvision.blogspot.com
-->
<opencv_storage>
<cascade>
<stagetype>BOOST</stagetype>
<featuretype>LBP</featuretype>
<height>32</height>
<width>32</width>
<stageparams>
<boosttype>GAB</boosttype>
<minhitrate>9.9999499320983887e-01</minhitrate>
<maxfalsealarm>4.1999998688697815e-01</maxfalsealarm>
<weighttrimrate>9.4999999999999996e-01</weighttrimrate>
<maxdepth>25</maxdepth>
<maxweakcount>80</maxweakcount></stageparams>
<featureparams>
<maxcatcount>256</maxcatcount>
<featsize>1</featsize></featureparams>
<stagenum>5</stagenum>
Opencv video results
Set Opencv Project in VS2015
You can simple prepare the project inside the Visual Studio 2015 by Nuget Packages. This approach is easy for beginers and better than standard installation with all the environmental variables problems. Just follow the installation steps inside hereHow to use LBP cascade in OPENCV
Just Copy downloaded cascade inside the VS 2015 project dir.
Visual Studio 2015\Projects\CarProject\CarProject
very nice in deed.
ReplyDeletethanks
Great post, enjoyed reading it!
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sbobet
Goldenslot
Professionally written blogs are rare to find, however I appreciate all the points mentioned here. I also want to include some other writing skills which everyone must aware of.
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