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GitHub / kmr0877 / Realtime-Object-Tracking-using-Opencv

Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmr0877%2FRealtime-Object-Tracking-using-Opencv

Stars: 7
Forks: 7
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 68.2 MB
Dependencies parsed at: Pending

Created at: almost 8 years ago
Updated at: over 1 year ago
Pushed at: over 7 years ago
Last synced at: about 2 months ago

Topics: contours, cv2, feature-detection, feature-extraction, ffmpeg, ffmpeg-wrapper, grayscale-images, imageio, imageio-framework, numpy, numpy-arrays, numpy-library, object-detection, object-tracking, objectmapper, opencv, pylab, python3, shutil, video-processing

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