GoldZPING's Stars
Chenastron/MTUNet
kuaileBenbi/RK3588-yolov5-sort
在RK3588上实现的yolov5+sort目标检测与跟踪(c++版本)
Zhou-sx/yolov5_Deepsort_rknn
Track vehicles and persons on rk3588 / rk3399pro.
LittleRain626/rknn_yolov5_3588_bytetrack
dyh/unbox_yolov5_deepsort_counting
yolov5 deepsort 行人 车辆 跟踪 检测 计数
cqu20160901/yolov8_rknn_Cplusplus
yolov8 瑞芯微 rknn 板端 C++部署。
wzxzhuxi/rknn-3588-npu-yolo-accelerate
rknn-3588部署yolov5,利用线程池实现npu推理加速;Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.
GYee/CV_interviews_Q-A
CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!
JiayuanWang-JW/YOLOv8-multi-task
forthespada/InterviewGuide
🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总,包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结,坚持学习,持续成长!
hustvl/YOLOP
You Only Look Once for Panopitic Driving Perception.(MIR2022)
PkkaiP/work_rk_yolov5
aclearboy7/-Structured-Model-Pruning
This project prunes the convolution neural network through the scaling factor γ of the BN layer, which is a typical structured pruning work. It is my own reproduction and modification of the paper, the effect is very good. (本项目通过BN层的缩放因子对神经网络进行剪枝,是自己对于Network Slimming论文的复现和修改,效果很好,是一个典型的结构化剪枝工作)
coldlarry/YOLOv3-complete-pruning
提供对YOLOv3及Tiny的多种剪枝版本,以适应不同的需求。
VainF/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
fengzi666666/Defect-detection
基于QT的缺陷检测系统,包括图像检测以及目标检测两个部分,支持ONNXRuntime加速
xianchaoxiu/Hyperspectral-Imaging
zhaoyuzhi/HSGAN
HSGAN: Hyperspectral Reconstruction from RGB Images with Generative Adversarial Network. IEEE TNNLS, 2023
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
MyuLi/PADUT
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
xuyixuan1999/YOLOXu
🔥🔥🔥 Simple and fast YOLOX deployment based on TensorRT🚀🚀🚀 基于TensorRT的简单高速的YOLOX部署
yangyangxu0/DeMT
EZreal-zhangxing/rk_ffmpeg
在rockchip3588上实现用ffmpeg进行推拉流,其中推拉流使用硬件加速编解码
zju3dv/LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Larry-zx/HAM
Hybrid attention module
HRNet/HRNet-Image-Classification
Train the HRNet model on ImageNet
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
luuuyi/CBAM.PyTorch
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
caiyuanhao1998/MST-plus-plus-TensorRT
:poodle: :poodle: :poodle: TensorRT 2022复赛方案: 首个基于Transformer的图像重建模型MST++的TensorRT模型推断优化