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Hey 👋, I'm LiHongda!

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Glad to see you here!

Hi, I’m Li-Hongda, a computer vision developer from Northwestern Polytechnical University. Object detection ,instance segmentation and adversarial learning are my main research directions. In my spare time, I also study the deployment of CV models.


My Infos

  • 📫 I might be a little slow to respond.

  • 🌱 I’m currently learning NCNN and OpenVINO.

  • ⚡ Hope to help you and enjoy yourself!

Languages and Tools

Python C C++ Markdown HTML

Git Linux Windows VSCode


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li-hongda's Projects

det_tools icon det_tools

Useful tools for rotate object detection in mmrotate.

mmrotate icon mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

mmyolo icon mmyolo

OpenMMLab YOLO series toolbox and benchmark

obbdetection icon obbdetection

OBBDetection is an oriented object detection library, which is based on MMdetection.

st-data icon st-data

Official Source Code of the paper "Exploring Effective Data for Surrogate Training Towards Black-box Attack", which is accepted by CVPR 2022

tensorrt_inference_demo icon tensorrt_inference_demo

A repo that uses TensorRT to deploy wll-trained models.Support RTDETR,YOLO-NAS,YOLOV5,YOLOV6,YOLOV7,YOLOV8,YOLOX.

tsiaa icon tsiaa

Official implementation of paper "Task-Specific Importance-Awareness Matters: On Targeted Attacks against Object Detection"

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