Extension to YOLOv3 person-detection model by incorporating domain adaptation on 3D synthetic images, allowing for synthetic-to-real translation tasks using Cycle-consistent Generative Adversarial Networks (CycleGAN) for one-to-one mapping framework.
A PyTorch implementation of (Bayesian) CycleGAN inspired by Zhu et al. (2017) and You et al. (2020).
Version: 1.1 (2021)
introduction 2
- python 3.8
- PyTorch
- NVIDIA GPU + CUDA CuDNN