tracking-by-YOLO-detection | track by detection using yolo network and other fancy stuff

by potpov Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | tracking-by-YOLO-detection Summary

tracking-by-YOLO-detection is a Python library. tracking-by-YOLO-detection has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

track by detection using yolo network and other fancy stuff

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Support

tracking-by-YOLO-detection has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

tracking-by-YOLO-detection has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tracking-by-YOLO-detection is current.

Quality

tracking-by-YOLO-detection has no bugs reported.

Security

tracking-by-YOLO-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tracking-by-YOLO-detection does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

tracking-by-YOLO-detection releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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tracking-by-YOLO-detection Key Features

No Key Features are available at this moment for tracking-by-YOLO-detection.

tracking-by-YOLO-detection Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install tracking-by-YOLO-detection

run the network python predict.py. more sample videos available at: https://www.dropbox.com/s/6egotfb5n5a1lkp/Archivio_video.zip. if you want to calibrate your camera, you first need to estimate the camera matrix (use https://docs.opencv.org/2.4/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html as reference). for a quick estimator of the distortion coefficient (k1) we implemented a nice algorithm, check it out https://github.com/potpov/camera-correction.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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