There are 5 repositories under caffemodel topic.
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
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.
Video Analysis using Machine Learning
Android application for gender, age and face recognition using OpenCV and JavaCV libraries
Bridging caffe2 with yolo, esp on mobile devices
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.
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.
Real time Object detection giving all object detected : labels along with all bounding box predictions + Flask live hosted server
PoCs to place all together: Go, DJI Tello drone, gobot and gocv
Python OpenCV face detection and identification using ResNet pre-trained model, implementation example.
face detector based on OpenCV and deep learning using opencv's Caffe model
Upgrade deprecated caffemodel to latest caffemodel (V1LayerParameters to LayerParameters) without installing caffe
Pose Estimation of Random Bin Picking Task
Detect and blur face using caffemodel
Image auto rotate using deep learning
Age and gender detection using openCV with Deep Learning for image or real time camera.
Attendance System using Open Face Model and Support Vector Machine
An AI model to detect if people are following social distancing & wearing masks for safety.
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
Deep Learning+Transfer Learning for implementation of mask detection. The model can recognise three classes- With mask, Without mask and mask weared incorrectly.