A simple yet effective approach to detecting visual anomalies
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Updated
Mar 23, 2020 - C++
A simple yet effective approach to detecting visual anomalies
Lane detection is a crucial step in training autonomous driving cars. It helps identify and avoid entering other lanes by analyzing visual input. Lane recognition algorithms play a vital role in ADAS and autonomous vehicle systems. They accurately detect lane locations and borders, contributing to safe and reliable navigation.
A tool to select multiple regions of interest in images
H.264 video Region of Interest encoding tool, using x264
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