qixuxiang
qixuxiang
CV, DNN, Robotics and Autopilot.
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orb-slam2 with semantic label
orb-slam2 with semantic labelling
Lightweight Networks such as MobileNet, ShuffleNet and ThunderNet implemented in Pytorch
The ROS Package of Mask R-CNN for Object Detection and Segmentation
deeplabv3plus2018:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
see details in configs/retinanet_se154_fpn_1x.py
Repositories
270orb-slam2 with semantic label
4th place solution in Baidu Autonomous Driving Lane Segmentation
orb-slam2 with semantic labelling
deeplabv3plus2018:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
DataFountain-基于虚拟仿真环境下的自动驾驶交通标志识别 4th
这是一个基于AI的自动化交易程序，专为数字货币市场（BNB/USDT）设计。该程序旨在实现全自动化交易，通过AI算法帮助用户在数字货币市场中做出更智能的交易决策。
No description provided.
YOLO 3D Object Detection for Autonomous Driving Vehicle
[CVPR 2025] A Comprehensive Benchmark for Document Parsing and Evaluation
Hybrid_Task_Cascade in mmdetection
No description provided.
The implementation of CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
nndeploy是一款最新上线的支持多平台、简单易用、高性能的机器学习部署框架，一套实现可在多端(云、边、端)完成模型的高性能部署。
360LayoutAnaylsis, a series Document Analysis Models and Datasets deleveped by 360 AI Research Institute
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
A C++ implementation of MPSC (multi-producer single-consumer) channel.
The ROS Package of Mask R-CNN for Object Detection and Segmentation
learning cuda with blog https://blog.csdn.net/xiangxianghehe/column/info/38591
No description provided.
: Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
No description provided.
see details in configs/retinanet_se154_fpn_1x.py
Lightweight Networks such as MobileNet, ShuffleNet and ThunderNet implemented in Pytorch
No description provided.
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
No description provided.
TensorRT deploy and PTQ/QAT tools development for FastBEV, total time only need 6.9ms!!!
Nvidia TensorRT tutorial examples
https://zhuanlan.zhihu.com/p/341059988