Largest list of models for Core ML (for iOS 11+)

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

A windows caffe implementation of YOLO detection network

YOLO object detector for Movidius Neural Compute Stick (NCS)

Real-time estimation of gender and age

A Big Awesome List CoreML Models.

This repository is the official release of the code for the following paper "FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture" which is published at the 13th Asian Conference on Computer Vision (ACCV 2016).

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

Convert Caffe models to ONNX.

SimCam SDK

Video Analysis using Machine Learning

Android application for gender, age and face recognition using OpenCV and JavaCV libraries

load vgg-face pre-trained caffe model using pytorch

The objective of this project is to detect the presence of a face mask on human faces on live streaming video as well as on images and alert the authority to take action on those who'r not wearing mask.

Bridging caffe2 with yolo, esp on mobile devices

Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.

YOLOv2 for Golang

Identify subjects from CCTV footages even when there are only limited number of photographs available for the suspected individuals. The system should work in near real time and even when there are partial occlusion, different pose, and physical changes like beard , eye-glasses and face masks .

CV_skeleton_provider project made for detecting a skeleton structure easily. It is distributed via pypi package.

PoCs to place all together: Go, DJI Tello drone, gobot and gocv

face detector based on OpenCV and deep learning using opencv's Caffe model

Real time Object detection: object detection system to enhance pedestrian safety and assist visually impaired individuals in navigating urban environments through real-time obstacle detection and alerts.

A project on Optical Image Tracking covering Optical Flow, Dense Optical Flow, MeanShift Technique, CamShift Technique, Single Object Tracking and Multi Object Tracking.

Python OpenCV face detection and identification using ResNet pre-trained model, implementation example.

In this repository, I am using OpenCV to perform face recognition. To build this face recognition system, I first perform face detection, extract face embeddings from each face using deep learning, train a face recognition model on the embeddings, and then finally recognize faces in both images and video streams with OpenCV.

This is a Real-time age detection project. The project is built with Python and OpenCV

Upgrade deprecated caffemodel to latest caffemodel (V1LayerParameters to LayerParameters) without installing caffe