This repo consists of several tutorials, which use Docker+make for some CS-courses.
This package is forked from the repo of RAIL-software-infrastructure-demos. It is used in running simple Unity with GPU, Python, Cpp program, Parallel Program, PyBind.
Ubuntu 18.04 is installed with cude 12.0.0. This package initialized for cs695-005 course's project, and ran several networks to process point cloud and traffic sign regconition.
Due to the large size of the models, the models are not uploaded to the github. Please download the models from the following links and put them in the ubuntu18/script/regconition2/traffic_models folder for Alexnet model, and ubuntu18/scripts/pcl/complex_yolov4 folder for complex-yolov4 model.
Ubuntu 20.04 is installed with cude 11.3.1 and openGL. This package initialized for cs695-005 course's project, too; and ran several networks to process traffic sign detection and traffic light detection-regconition. Due to the large size of the models, the models are not uploaded to the github. Please download the models from the following links and put them in the models folder.
Many other tensorflow models are available at the following link
We have learned and used the following repos to build this repo. Thank you for their great work.