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This command line tool can be used to collect image dataset from BeamNG gameplay and supports calculating neuron coverage of a DNN model. It can be extended to create a neuron coverage guided testing tool to generate test cases for simulation-based testing of DNN-based self-driving vehicles
The code is primitive attempt to achieve video stabilization using OpenCV and without Deep Learning approach. It uses foundational computer vision techniques like feature detections, optical flow, transformation and warping.
The implementation of Generative Adversarial Network as the part of "Photo-to-Emoji Transformation" research series. The generator uses U-Net as the auto-encoder transformer.