@author: Milos
"""
import notebookOperacije as my
import neuralNetwork as nn
import numpy as np
# TODO - NEURAL NETWORK TRAIN
# obučavanje neuronske mreže
image_original_obucavanje = my.load_image('images/obucavajuciSkup12.jpg')
image_obucavanje = my.remove_noise(my.image_bin(my.image_gray(image_original_obucavanje)))
img_selected_regions_obucavanje, regions_obucavanje, regions_color_obucavanje, regions_signs_obucavnje = my.select_roiV3(image_original_obucavanje.copy(), image_obucavanje, 'TRAIN')
my.plt.figure(3)
my.display_image('img_selected_regions_obucavanje', img_selected_regions_obucavanje)
inputs_obucavanje = nn.prepare_for_ann(regions_obucavanje)
'''
#signs_alphabet = ['Obavezno zaustavljanje', 'Zabrana saobraćaja u oba smera']
signs_alphabet = {}
for x in range(0, 8):
signs_alphabet[x] = str((x+1)*10)
#print "We're on time %d" % (signs_alphabet[x])
'''
signs_alphabet = ['opasnost na putu', 'ogranicenje 30', 'obrnuti trougao', 'stop', 'zabrenjo oba smera', 'ogranicenje 40', 'zabranjeno polukruzno', 'obavezan smer desno', 'pesacki prelaz']
outputs_obucavanje = nn.convert_output(signs_alphabet)
print '\nlen(inputs_obucavanje)=', len(inputs_obucavanje), ' len(outputs_obucavanje)=', len(outputs_obucavanje)
ann = nn.create_ann()
ann = nn.train_ann(ann, inputs_obucavanje, outputs_obucavanje)
# -*- coding: utf-8 -*- """ Created on Sun Jun 26 06:15:17 2016 @author: Milos """ import neuralNetwork as nn import numpy as np import appRunShapesTrain as shapesTrain import appRunShapesPredict as shapesPredict # TODO - NEURAL NETWORK TRAIN # obučavanje neuronske mreže #img_selected_regions_obucavanje, regions_obucavanje, regions_color_obucavanje = my.select_roiShapes(shapesTrain.img_color.copy(), shapesTrain.img_no_noise, 'TRAIN') inputs_obucavanje = nn.prepare_for_ann(shapesTrain.regions) signs_alphabet = ['zabranjeno oba smera', 'stop', 'ogranicenje 40', 'zabranjeno polukruzno', 'pesacki prelaz'] outputs_obucavanje = nn.convert_output(signs_alphabet) print '\nlen(inputs_obucavanje)=', len(inputs_obucavanje), ' len(outputs_obucavanje)=', len(outputs_obucavanje) ann = nn.create_ann() ann = nn.train_ann(ann, inputs_obucavanje, outputs_obucavanje) # TODO - NEURAL NETWORK PREDICT # predikcija na osnovu obučene neuronske mreže print '\n\nPREDIKCIJA ***\n\n' #img_selected_regions_test, regions_test, regions_by_color_test = my.select_roiShapes(shapesPredict.img_color.copy(), shapesPredict.img_no_noise, 'PREDICT') inputs_test = nn.prepare_for_ann(shapesPredict.regions) results_test = ann.predict(np.array(inputs_test, np.float32))