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garbage_classification

(2020)Deployment of garbage classification model based on wed service

garbage_classify-1

最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。

gfm

[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting

github-readme-stats

:zap: Dynamically generated stats for your github readmes

hand3dresearch

hand_detection

A Light CNN based Method for Hand Detection and Orientation Estimation

hand_object_detector

Project and dataset webpage:

heatmap-in-person-re-identification

如何在行人重识别领域针对图像画出热度图

hold

[CVPR 2024 Highlight] This is a repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.

honglinchu

hot

[CVPR 2024 🔥] Official implementation of the paper "⏳ Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation"

hpc-learning-notes

高性能计算相关知识学习笔记，包含学习笔记和相关知识的代码demo，在持续完善中。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！

instantavatar

internvl

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4V. 接近GPT-4V表现的可商用开源模型

ios-lightweight-openpose

Lightweight OpenPose on iOS

kcf_apce

标准KCF加上APCE

keemap-blender-rig-retargeting-addon

Blender Rig Retargeting Addon allows mapping motions of one rig to another. Works with ANY rig and allows user to map bones from one rig to another and save mapping files out to hard drive.

label2everything

常见计算机视觉标注格式相互转换

light-reid

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

lightllm

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

live_mocap

Single-view real-time motion capture built up upon Google Mediapipe.

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

micronet-1

mmrotate

mnn_demo

🥭 移动端MNN部署学习笔记。支持Android与iOS。

mobileface

A face recognition solution on mobile device.

mobilefacenet_pytorch

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

mobilefacenet_tutorial_pytorch

This repo illustrates how to implement MobileFaceNet and Arcface for face recognition task