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Jim's Projects

darknet icon darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deep_sort_yolov3 icon deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

dfr icon dfr

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

ds icon ds

cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

facekit icon facekit

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

gdal icon gdal

Go (golang) wrapper for GDAL, the Geospatial Data Abstraction Library

goji icon goji

Goji is a minimalistic web framework for Golang that's high in antioxidants.

grpc icon grpc

The C based gRPC (C++, Node.js, Python, Ruby, Objective-C, PHP, C#)

gst-video-analytics icon gst-video-analytics

This repository contains a collection of GStreamer* elements to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in GStreamer* framework.

infact icon infact

Provides a lightweight interpreter and factory for dynamically creating C++ objects at runtime.

ispy icon ispy

Open source surveillance software

jetson-inference icon jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

lite.ai.toolkit icon lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

mediapipe icon mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

ncnn_faster-mobile-retinaface icon ncnn_faster-mobile-retinaface

移动端快速人脸检测模型是基于RetinaFace的优化去掉stride8以及stride32和stride16的landmark 在CPU位Intel(R) Pentium(R) CPU G2020 @ 2.90GHz(2900 MHz)的设备中人脸检测可达到40ms/帧

openalpr icon openalpr

Automatic License Plate Recognition library

pigo icon pigo

Pure Go face detection library.

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