A Modular and Multi-Modal Mapping Framework

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

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

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

Depoly yolov5.tflite in android.

Official implementation of SRCN3D: Sparse R-CNN 3D Surround-View Cameras 3D Object Detection and Tracking for Autonomous Driving

An open autonomous driving platform

WIP: Pytorch implementation of CRFNet

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Convert PyTorch model to Caffemodel

A one-stop repository for low-code easily-installable object detection pipelines.

大家好，这是cv调包侠开源原创项目，您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成，包括：实时数据采集、自动标注、转换、增强，并可以直接进行yolov3、yolov4、yolov5、eficientdet等，它可以直接导出到onnx，通过openvino和tensor-RT加速，除了检测外，还支持分类算法，可以在一分钟内完成图像的智能分类。欢迎来star Hello…

👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫

SOTA Re-identification Methods and Toolbox

利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人

A best practice for deep learning project template architecture.