Pre-trained Deep Learning models and demos (high quality and extremely fast)
-
Updated
May 22, 2024 - Python
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
Largest list of models for Core ML (for iOS 11+)
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
A windows caffe implementation of YOLO detection network
Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)
YOLO object detector for Movidius Neural Compute Stick (NCS)
Video Analysis using Machine Learning
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).
Real-time estimation of gender and age
Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
Convert Caffe models to ONNX.
Android application for gender, age and face recognition using OpenCV and JavaCV libraries
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 .
face detector based on OpenCV and deep learning using opencv's Caffe model
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.
load vgg-face pre-trained caffe model using pytorch
Add a description, image, and links to the caffemodel topic page so that developers can more easily learn about it.
To associate your repository with the caffemodel topic, visit your repo's landing page and select "manage topics."