Pedestrian-Detection | repo content all dataset , record | Computer Vision library
kandi X-RAY | Pedestrian-Detection Summary
kandi X-RAY | Pedestrian-Detection Summary
This repo content all the dataset, the record and the config that were used in training a TensorFlow pedestrian detector model.
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Pedestrian-Detection Key Features
Pedestrian-Detection Examples and Code Snippets
Community Discussions
Trending Discussions on Pedestrian-Detection
QUESTION
I am trying to compile the CPP file present here and it is giving me the following error. I am new to this. Any help will be highly appreciated. Also, any other way to compile and run it will be helpful if I am making it wrong.
...ANSWER
Answered 2020-May-23 at 17:16The code is indeed broken; Show_Detection_Steps
is used before it is declared.
Some compilers let you get away with it due to different methods of implementing templates, which is probably why the author missed it. But the code is, per the C++ language, broken.
You should report this as a bug to the author, using the GitHub project page you linked to.
QUESTION
I'm trying to get the algorithm provided in this repository to work on windows. After countless issues, I'm only left with one unrecognized function cvLoadImage which is apprently depricated. I was instructed to work with the c++ API instead but the problem is that I will have to rewrite other parts of the code as well and I might end up breaking it.
...ANSWER
Answered 2018-Dec-04 at 11:56Indeed, that is the old OpenCV C API. You will need to port the old C functions to the c++ OpenCV API, e.g.:
cvNamedWindow
->cv::namedWindow
cvRectangle
->cv::rectangle
cvPoint
->cv::Point
etc.
The code you're using is actually a mix of the old C API and the newer c++ API. It's just a matter of going through all the C API calls in that repo and manually port them to the c++ API. As you can see above, most of the time that is fairly intuitive. When in doubt search the OpenCV documentation.
Additionally you should look into YOLOv2 for Pedestrian detection.
Update:
There are multiple forks of this repository and it looks like Berak already has already removed the C API calls. His changes were merged, so you should to pull the latest changes and rebuild:
QUESTION
I am using OpenCV's HOG detector to detect pedestrians in a video. But the bounding boxes returned by it's detectMultiScale()
have one negative value. I couldn't find anything helpful or useful so far on internet to understand and solve this problem. I do not even know why is this problem occurring. that's the output.
ANSWER
Answered 2017-Aug-28 at 11:58After trying almost everything on internet when I couldn't find answer anywhere I started analyzing this problem myself and found the solution to it.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Pedestrian-Detection
You can use Pedestrian-Detection like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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