This is an implementation of an adaptive cruise control system based on a computer vision pipeline. This work is based on YOLACT, a State-Of-The-Art real-time instance segmentation network. You're welcome to test and try our code, we hope you'll enjoy this work!
License: MIT License
In order to perform inference, could you provide the mentioned weights in the Test section?
Moreover I think you need to specify that the provided commands in Test section are suitable in a Jupyter notebook environment, using ! in a command line in Unix-like shells triggers history expansion, and I think it's not the intended behavior.
Thanks
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