kentoo-zbcast's repositories
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+
fire-smoke-detect-yolov4
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测
reflective-clothes-detect-yolov5
reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测
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
voc2coco
How to create custom COCO data set for object detection
QUANTAXIS
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
onnx-simplifier
Simplify your onnx model
peercoin
Reference implementation of the Peercoin protocol
Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
multi-model-server
Multi Model Server is a tool for serving neural net models for inference
models
A collection of pre-trained, state-of-the-art models in the ONNX format
insightface
Face Analysis Project on MXNet and PyTorch
Ultra-Light-Fast-Generic-Face-Detector-1MB
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
YOLOv5_NCNN
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1000FPS.
gin-vue-admin
基于gin+vue搭建的后台管理系统框架，集成jwt鉴权，权限管理，动态路由，分页封装，多点登录拦截，资源权限，上传下载，代码生成器，表单生成器，通用工作流等基础功能，五分钟一套CURD前后端代码，目前已支持VUE3，欢迎issue和pr~
libfacedetection.train
The training program for libfacedetection for face detection and 5-landmark detection.
Stock-Price-Prediction
This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.
stockDL
A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks. Investments are subject to market risks, The AUTHOR HOLDS NO RESPONSIBILITY for any financial loss.
ZLMediaKit
A lightweight RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181 server and client framework based on C++11
Stock-Prediction-DL
Using historical financial data and aggregated social media sentiment from Twitter to determine the stock signal (Buy or Sell) for a given trading day. Comparing the performance of deep learning models such as LSTMs, GRUs, and RNNs when performing stock signal prediction with and without social media sentiments
C4-Real-time-pedestrian-detection
Real-Time Human Detection Using Contour Cues
darknet-1
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
FaceRecognizer
人脸识别应用
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
sense
Enhance your application with the ability to see and interact with humans using any RGB camera.