huichen98's repositories
autoware.ai
Open-source software for self-driving vehicles
BEVFormer
This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
BEVFormer_tensorrt
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
caffe
Caffe: a fast open framework for deep learning.
CarND-Vehicle-Detection
Vehicle Detection Project
Co-DETR
[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
DataAugmentation_ForObjectDetect
本仓库主要包含了针对目标检测数据集的增强手段和源码：图像的旋转，镜像，裁剪，亮度/对比度的变换等
detr3d
DETR3D
Fast-BEV
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
Hello-world
this is the frist step in the web（做点什么）
keras-yolo3-detection
YOLO v3 物体检测算法
labelGo-Yolov5AutoLabelImg
💕YOLOV5 semi-automatic annotation tool (Based on labelImg)💕一个基于labelImg及YOLOV5的图形化半自动标注工具
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
nuscenes-devkit
The devkit of the nuScenes dataset.
plane_fit_ground_filter
A point cloud ground filter based on ground plane fitting
self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
SFND_Lidar_Obstacle_Detection
SFND_Lidar_Obstacle_Detection
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Yolov5_DeepSort_Pytorch
Real-time multi-person tracker using YOLO v5 and deep sort
yolov5_ROS
ROS使用YOLOv5 run YOLOv5 in ROS