Pinned Repositories
caffe-augmentation
:zap: Caffe real-time data augmentation on-the-fly!!
caffe_ssd_mofified
Forked from https://github.com/runhang/caffe-ssd-windows. modified caffe ssd code. new functions added. 1:modify files to calculate precisions and recalls for each class, plus their tp fp and fn. 2:modify files to realize label projection, which could be used in situations that need to evaluate old models that has old labels. (caution: the number of old labels must bigger than the number of new labels)
Caffe_yolov3_Windows
Caffe implementation for yolov3, forked from https://github.com/eric612/Caffe-YOLOv3-Windows
caffeAnalysis
Analysis caffe source code
CC5.0
CC for Caffe,基于Caffe改造的深度学习框架,为Caffe添加基于C++的网络构建、友好的Train和Inference框架
CPlusPlusThings
C++那些事
entroy_diversity
python implementation of paper "Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally"
labelme
修改labelme,添加一些功能
VOC_crop_background
根据VOC2007格式的xml文件和相应的图片,裁剪出背景图片,背景图片中不包含目标
yolo5_caffe_hisi3559
yolov5: pytorch->onnx->caffe->hisi3559
JimmyLauren's Repositories
JimmyLauren/yolo5_caffe_hisi3559
yolov5: pytorch->onnx->caffe->hisi3559
JimmyLauren/Caffe_yolov3_Windows
Caffe implementation for yolov3, forked from https://github.com/eric612/Caffe-YOLOv3-Windows
JimmyLauren/labelme
修改labelme,添加一些功能
JimmyLauren/CC5.0
CC for Caffe,基于Caffe改造的深度学习框架,为Caffe添加基于C++的网络构建、友好的Train和Inference框架
JimmyLauren/CPlusPlusThings
C++那些事
JimmyLauren/CPP-Learning
This repo contains my roadmap for learning C++ from zero to hero.
JimmyLauren/Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
JimmyLauren/CppGuide
C/C++学习,后端开发进阶指南。
JimmyLauren/darknet
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
JimmyLauren/design_patterns
图说设计模式
JimmyLauren/docker-depth-learning
docker的深入了解与掌握
JimmyLauren/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
JimmyLauren/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
JimmyLauren/learning_mind_map
2021年【思维导图】盒子,C/C++,Golang,Linux,云原生,数据库,DPDK,音视频开发,TCP/IP,数据结构,计算机原理等
JimmyLauren/lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
JimmyLauren/nnieqat-pytorch
A nnie quantization aware training tool on pytorch.
JimmyLauren/PP-YOLOE
PaddlePaddle实现的目标检测模型PP-YOLOE
JimmyLauren/Refinedet_Caffe
Refinedet for Caffe. verified on windows10, cuda 10.1, cudnn 7. mofified from git@github.com:ryzejiang/RefineDet_Windows_Caffe.git
JimmyLauren/Ring-Log
Ring-Log是一个高效简洁的C++异步日志, 其特点是效率高(每秒支持至少125万+日志写入)、易拓展,尤其适用于频繁写日志的场景
JimmyLauren/ShiYanLou
学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试
JimmyLauren/SimpleNES
An NES emulator in C++
JimmyLauren/SinglePathOneShot
single path one shot. one of NAS algorithms.
JimmyLauren/sshfs-win
SSHFS For Windows
JimmyLauren/TensorRT-sampleResNet50
TensorRT inference sample for ResNet50
JimmyLauren/tensorRTIntegrate
TensorRT ONNX Plugin、Inference、Compile
JimmyLauren/the-23-gang-of-four-design-patterns-with-cplusplus
设计模式精解-GoF 23 种设计模式解析附 C++实现源码
JimmyLauren/Waking-Up
计算机基础(计算机网络/操作系统/数据库/Git...)面试问题全面总结,包含详细的follow-up question以及答案;全部采用【问题+追问+答案】的形式,即拿即用,直击互联网大厂面试:rocket:;可用于模拟面试、面试前复习、短期内快速备战面试...
JimmyLauren/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.9M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
JimmyLauren/ZLMediaKit
WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181/SRT server and client framework based on C++11
JimmyLauren/ZLToolKit
一个基于C++11的轻量级网络框架,基于线程池技术可以实现大并发网络IO