Exemplo n.º 1
0
#my.plt.figure(7)
#my.display_image('img_mask', img_mask)

    # Bitwise-AND mask and original image
img_result = cv2.bitwise_and(img_color.copy(),img_color.copy(), mask=mask)
my.plt.figure(8)
my.display_image('TRAIN_img_result', img_result)

#--------------------------
# formiranje grayscale slike
img_grayscale = my.image_gray((img_result))
my.plt.figure(2)
my.display_image('TRAIN_Formiranje grayscale slike', img_grayscale)

# formiranje binarne slike
img_bin = my.image_bin(img_grayscale)
my.plt.figure(3)
my.display_image('TRAIN_Formiranje binarne slike', img_bin)

# uklanjanje šuma sa binarne slike
img_no_noise = my.invert(my.remove_noise(img_bin))
my.plt.figure(4)
my.display_image('TRAIN_img_bin sa remove_noise', img_no_noise)
#--------------------------

img_selected_regions, regions, regions_by_color = my.select_roiShapes(img_color.copy(), img_no_noise, 'appRunShapes')
print '\nBroj prepoznatih regiona (regions):', len(regions)
print 'Broj prepoznatih regiona (regions_by_color):', len(regions_by_color)
my.plt.figure(9)
my.display_image('TRAIN_img_selected_regions', img_selected_regions)
Exemplo n.º 2
0
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 24 15:30:21 2016

@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)