Jooyoung Yoo's Projects
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
This project is for learning and researching on Deep RL. Maintained by University AI researchers.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Darknet repository for training YOLOv4 on Google Colab with Custom Dataset
A paper list of object detection using deep learning.
R interface to KliqueFinder
Implementation of a human pose estimation algorithm (modified Shotton et al)
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
A modified version of https://github.com/Cartucho/OpenLabeling OpenLabelling tool
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Object detection and instance segmentation toolkit based on PaddlePaddle.
Pedestrian simulator powered by the social force model
with ROS
This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Collection of messages for packages developed in the SPENCER project
RVIZ plugin for visualizing tracks, detections, attributes of people, groups
Python package for retrieving current and historical photos from Google Street View
Implementation of popular deep learning networks with TensorRT network definition APIs
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
YOLOv5 in PyTorch > ONNX > CoreML > iOS