All models (optimized,pre-built and trained) for my work are listed here
- detect_gender - CLI for gender detection on static 2-D image
- gender_detection_model - Pre-Built Model
- gender_detect_webccam - CLI for gender detection on video frames
- smallervggnet - Small VGG Net Model Architecture
- train - Builder Script
- Age_Gender_Pre_Built - Based on VGG16 Age Gender Module Built
- data_generator - Script which generates pictures using burst mode through camera
- Training - Training for similarity using LBPH Recognizer
- main - Main App which gives similarity metric
Built on easily availaible datasets and images generated from OpenVINO Toolkit Models
- build_imfdb - Build Database Script
- opt_model.h5 - Optimized Model
- SMALL_VGG_NET - Initial Model Build
- smallvggnet - optimized Model Build
- train_model - Training Scipt for Model with multiple outputs
- init - Model,Graph Initializer
- convertor - .svg to .png convertor
- deploy.prototxt - caffemodel specs
- gen - qrcode generator
- integrator - Model(s) integrator
- new_face_detection - Script for GUI Build and interface
- res10_300x300_ssd - CaffeModel
- new_model - Model with OpenVINO Trainers
- xception - Xception Net with IMFDB Trainers
- Age_Gender_Continous - Age Gender Module (Densenet121) with Continous Age
- Age_Gender_Categorical - Age Gender Module (Densenet121) with Softmax Ages
- Age_Gender_One_Hot - Age Gender Module (Densenet121) with One Hot Ages
Built on imageai library with RetinaNet,YoloV3
- hum_detector - Human Detector on pictures
- hum_detector_pic_resnet50 - Same as above but with Model Loader Changed
- hum_detector_self - Detector on vid frames