Using tensorflow framework to build a deep learning model that will detect hand signs from web cam and surround it with a bounging box.
The following train and test sets were created using OpenCV and labelImg.
Train set:
Test set:
From Tensorflow Zoo, the pretrained ssd_mobilenet_v2_fpnlite_320x320_coco17 model is used. Installed using Tensorflow object detection API in Tenserflow Model Garden.
Model was trained using the default parameter and 2000 steps.
Loss graph in Tensorboard
Result on the test set.
Expected Outout in Tensorboard
To make a web app that detects hand signs making webpage browsing interactive.