tkDNN
Review: best solution to run yolov4 on your jetson device.
Lidar_For_AD_references
Review: yet another list, but already full of interesting paper and approaches to the lidar perception, special for AD, including SOTA.
autonomous-car-2020
Review: interesting and simple self-driving car pipeline for competition.
LiDAR-MOS
Review: looks like a very useful perception approach for self-driving car planning unit.
osm2xodr
Review: very useful repository if you want to develop your indie self-driving car in your city.
MIT-Driverless-CV-TrainingInfra
Review: I really enjoy exploring source codes for formula students driverless. A good example of a general model customization for a realworld challenge in a self-governing competition.
fsoco-dataset
Review: boost dataset for your formula student driverless team.
Pose-Augmentation
Review: waiting for the code for very exciting approach of data pose augmentation using DNN.
pyodi
Review: simple visualization for your object detection dataset.
ovc
Review: too old, but too interesting attempt to create fully completed hardware schema for various tasks of computer vision.
Deep-Tutorials-for-PyTorch
Review: looks like a very cool deep learning tutorial in pytorch, better than the old official tutorial.
MotionBlur-detection-by-CNN
Review: it could be useful for many real-life computer vision applications.
CNN-DSO
Review: too old approach of combining DSO with monocular depth estimation, but some companies are really still try to sell you this shit.
awesome-ctf
Review: it's still cool to be a hacker.