Project Name: Deep Learning on RGBD sensors
Author: David Pascual Hernández [[email protected]]
Academic Year: 2016/2017
Degree: Degree in Audiovisual Systems and Multimedia Engineering
Mediawiki: http://jderobot.org/Dpascual-tfg
Tags: Deep Learning, Keras
State: Developing
digitclassifier is a JdeRobot component which captures live video and classifies digits in the sequence with a convolutional neural network built with Keras. In order to launch it with Python 2.7 you must install:
- JdeRobot (installation guide)
- OpenCV 3 (it will be automatically installed with JdeRobot)
- Keras (installation guide)
Links for downloading augmented MNIST datasets for training and Keras model for testing:
- HDF5 datasets
- LMDB datasets
- Keras model (4 conv. layers, early stopping w/ patience=5)
If you want to launch digitclassifier, open a terminal and run:
cameraserver cameraserver.cfg
This command will start cameraserver driver which will serve video from the webcam. In another terminal, access the location where you've cloned the repo and run:
python digitclassifier.py digitclassifier.cfg
That command should launch the component and you should see something like this:
More info: [http://jderobot.org/Dpascual-tfg]