In this project I have started to experiment with real input data. This is a necessary step towards a successful implementation of the project Robopsychology One.
SamuCam, exp. 10, cognitive mental organs: MPU (Mental Processing Unit), COP-based Q-learning, acquiring higher-order knowledge
This experiment shows how the program of "Game of Life" has been mechanically applied to learn human faces from videos and photos. The class SamuCam uses OpenCV for face detection. The results for this first experiment can be seen in a video at https://youtu.be/6cRbyKrq45c It can be seen easily that Samu COP-based prediction technique for distinguishing human faces will be problematic due to the prediction mechanism has strongly local scope.
git clone https://github.com/nbatfai/SamuCam.git
cd SamuCam/
wget https://github.com/Itseez/opencv/raw/master/data/lbpcascades/lbpcascade_frontalface.xml
git checkout vInitialHack
~/Qt/5.5/gcc_64/bin/qmake SamuLife.pro
make
./SamuCam --ip http://192.168.0.18:8080/video?x.mjpeg 2>out
tail -f out|grep "HIGHER-ORDER NOTION MONITOR"
tail -f out|grep SENSITIZATION
Samu (Nahshon) http://arxiv.org/abs/1511.02889, https://github.com/nbatfai/nahshon
SamuLife https://github.com/nbatfai/SamuLife, https://youtu.be/b60m__3I-UM
SamuMovie https://github.com/nbatfai/SamuMovie, https://youtu.be/XOPORbI1hz4
SamuStroop https://github.com/nbatfai/SamuStroop, https://youtu.be/6elIla_bIrw, https://youtu.be/VujHHeYuzIk
SamuBrain https://github.com/nbatfai/SamuBrain
SamuCopy https://github.com/nbatfai/SamuCopy
SamuTicker https://github.com/nbatfai/SamuTicker
SamuVocab https://github.com/nbatfai/SamuVocab
SamuKnows https://github.com/nbatfai/SamuKnows
SamuCam https://github.com/nbatfai/SamuCam
Robopsychology One https://github.com/nbatfai/Robopsychology
SamuTuring https://github.com/nbatfai/SamuTuring
Samu C. Turing https://github.com/nbatfai/SamuCTuring
SamuSmartCity https://github.com/nbatfai/SamuSmartCity
ESAMU - Samu Entropy, Esport and Artificial Intelligence https://github.com/nbatfai/SamuEntropy