adityarc19/traffic-vehicles-instance-segmentation
This is a real time instance segmentation task implemented with YOLACT++ and DCNv2 on Google Colab.
This project helps traffic analysts, urban planners, or autonomous vehicle developers automatically identify and outline individual vehicles in real-time video streams. You provide a video of traffic, and it outputs a segmented video where each car, bus, or other vehicle is distinctly highlighted, allowing for precise tracking and analysis. This is ideal for those needing detailed insights into traffic flow and object detection.
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Use this if you need to analyze video footage of roads or urban environments to count, track, or understand the movement of individual vehicles.
Not ideal if you need to identify objects other than traffic vehicles, or if you require an extremely lightweight solution for edge devices without GPU acceleration.
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Nov 21, 2020
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