Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Keras_age_gender | 122 | 4 years ago | 11 | Python | ||||||
Easy Real time gender age prediction from webcam video with Keras | ||||||||||
Sign Language Interpreter Using Deep Learning | 104 | 4 years ago | 1 | mit | Python | |||||
A sign language interpreter using live video feed from the camera. | ||||||||||
Deep Surveillance Monitor Facial Emotion Age Gender Recognition System | 92 | 3 months ago | 1 | mit | Jupyter Notebook | |||||
Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion, age and gender of people in any given image, video or real time webcam | ||||||||||
Phormatics | 79 | 3 years ago | 6 | Jupyter Notebook | ||||||
Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018) | ||||||||||
Tfjs Tutorials | 59 | 4 years ago | 2 | |||||||
📃 TensorFlow.js 官方指南繁體中文版 | ||||||||||
Yolov3 Object Detection Tutorial | 59 | 4 years ago | Python | |||||||
Adain Tf | 50 | 7 years ago | 5 | mit | Python | |||||
TensorFlow/Keras implementation of "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization" https://arxiv.org/abs/1703.06868 | ||||||||||
Face And Emotion Recognition | 40 | 4 years ago | 3 | mit | Python | |||||
Realtime person's face recognize and can classify emotion using webcam, video or images. | ||||||||||
Rt Mrcnn | 29 | 5 years ago | other | Python | ||||||
Real time instance segmentation with Mask R-CNN, live from webcam feed. | ||||||||||
Live Video Sketching Through Webcam Using Opencv Python | 25 | 4 years ago | Jupyter Notebook | |||||||
Computer Vision model creates a live video sketch of frames through real time web cam video. Source code is written in python and model is based on OpenCV. Keras and Numpy have been used to optimize the performance of the model and posterize frames |