Simplify your onnx model
[CoRL 2022] SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
ROS communications-related packages, including core client libraries (roscpp, rospy, roslisp) and graph introspection tools (rostopic, rosnode, rosservice, rosparam).
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
📊 Simple package for monitoring and control your NVIDIA Jetson [Xavier NX, Nano, AGX Xavier, TX1, TX2]
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A cross-platform point cloud visualization software powered by PCL and Qt.
Python bindings to the pointcloud library (pcl)
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
OpenMMLab Rotated Object Detection Toolbox and Benchmark
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测
ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
C++ library based on tensorrt integration
Code for 3D object detection for autonomous driving
base64 encoding and decoding with c++
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
This is an official repository of End-to-end Lane Shape Prediction with Transformers.