Boosting's repositories
mry-backend
本代码库为码如云后端代码。码如云是一个基于二维码的一物一码管理平台,可以为每一件“物品”生成一个二维码,手机扫码即可查看物品信息并发起相关业务操作,操作内容可由你自己定义,典型的应用场景包括固定资产管理、设备巡检以及物品标签等。在技术上,码如云是一个无代码平台,全程采用DDD、整洁架构和事件驱动架构**完成开发。
mry-frontend
本代码库为码如云前端代码。码如云是一个基于二维码的一物一码管理平台,可以为每一件“物品”生成一个二维码,手机扫码即可查看物品信息并发起相关业务操作,操作内容可由你自己定义,典型的应用场景包括固定资产管理、设备巡检以及物品标签等。在技术上,码如云是一个无代码平台,全程采用DDD、整洁架构和事件驱动架构**完成开发。
opencv_3rdparty
OpenCV - 3rdparty
Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
opencv-mobile
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
TNN_Demo
🍉 移动端TNN部署学习笔记,支持Android与iOS。
leetcode-1
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
pytorch_classification
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
SMSR
[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference
RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
DRN
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
hayoou_safe_driving_android
YOLOV4 tiny + lane detect in Android with 8 FPS!
YOLObile
This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
zxing
ZXing ("Zebra Crossing") barcode scanning library for Java, Android
hms-scan-demo
Sample code for demonstrating Huawei HMS ScanKit capabilities. It illustrates how to help developers quickly build code scanning capabilities.
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
Paddle-Lite
Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎)
YOLOv5_NCNN
🍅 Ncnn deployment on mobile,support:YOLOv5s,YOLOv4-tiny,MobileNetV2-YOLOv3-nano,Simple-Pose,Yolact,ChineseOCR-lite,ENet,Landmark106,DBFace,MBNv2-FCN,MBNv3-Seg-small and NanoDet on camera.
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
mmdetection-mini
mmdetection最小学习版
ScaledYOLOv4
:fire::fire::fire: Scaled-YOLOv4训练自己的数据集详细教程PDF,关于paper解读请联系小编获取PDF文档
BGAQRCode-Android
QRCode 扫描二维码、扫描条形码、相册获取图片后识别、生成带 Logo 二维码、支持微博微信 QQ 二维码扫描样式
YOLOV3-NANO
YOLOV3-NANO-Tensorflow
PISR
An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.
MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)