Liangchuan's repositories

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dev_setup

Setup scripts for development environment

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mile

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

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AutoCkt

Deep Reinforcement Learning of Analog Circuit Designs

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carla-roach

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

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cmake-modules

Additional CMake functionality. Most of the modules are from Ryan Pavlik (https://github.com/rpavlik/cmake-modules)

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code_utils

my code utils

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Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

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dotfiles

dotfiles for setup dev environment

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EAST

PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector

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EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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ethminer

Ethereum miner with OpenCL, CUDA and stratum support

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flir_camera_driver

ETH fork of the spinnaker camera driver, allowing camera triggering and timestamping over mavros.

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half_float

C++ implementation of a 16 bit floating-point type mimicking most of the IEEE 754 behaviour. Compatible with the half data type used as texture format by OpenGl/Direct3D.

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hungarian-algorithm-cpp

A C++ wrapper for a hungarian algorithm implementation

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HybridNets

HybridNets: End-to-End Perception Network

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imu_utils

A ROS package tool to analyze the IMU performance.

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NVIDIA-Jetson

NVIDIA Jetson series

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Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

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PX4-Avoidance

PX4 avoidance ROS node for obstacle detection and avoidance.

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pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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scenario_runner

Traffic scenario definition and execution engine

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TextRecognitionDataGenerator

A synthetic data generator for text recognition

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tkDNN

Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

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tusimple-benchmark

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

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YOLOP

You Only Look Once for Panopitic Driving Perception.(MIR2022)

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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