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color_figure_detector.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Apr 9 15:47:13 2018
@author: marcos
"""
import cv2
import numpy as np
def color_detector(color, image,nome):
if nome == "azul":
rectangle_color = (255,0,0)
elif nome == "amarelo":
rectangle_color = (0,255,255)
elif nome == "vermelho":
rectangle_color = (0,0,255)
elif nome == "preto":
rectangle_color = (0,0,0)
elif nome == "alaranjado":
rectangle_color = (3,163,255)
elif nome == "roxo":
rectangle_color = (200,0,87)
elif nome == "violeta":
rectangle_color = (160,0,125)
elif nome == "verde":
rectangle_color = (0,255,0)
elif nome == "rosa":
rectangle_color = (130,0,255)
else:
rectangle_color = (0,0,0)
(_,contours,hierarchy)=cv2.findContours(color,cv2.cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
for pic, contour in enumerate (contours):
area = cv2.contourArea(contour)
if(area>300):
x,y,w,h = cv2.boundingRect(contour)
image = cv2.rectangle(image,(x,y),(x+w,y+h),rectangle_color,2)
cv2.putText(image,nome,(x,y),cv2.FONT_HERSHEY_SIMPLEX,0.7,rectangle_color)
return image
#
#definindo o range do rosa
def color_pink(hsv):
lower_pink = np.array([161,110,80],np.uint8)
upper_pink = np.array([167,255,255],np.uint8)
pink = cv2.inRange(hsv,lower_pink,upper_pink)
return pink
#definindo o range do violeta
def color_violet(hsv):
lower_violet = np.array([140,110,80],np.uint8)
upper_violet = np.array([160,255,255],np.uint8)
violet = cv2.inRange(hsv,lower_violet,upper_violet)
return violet
#definindo o range do roxo
def color_purple(hsv):
lower_purple = np.array([125,110,80],np.uint8)
upper_purple = np.array([139,255,255],np.uint8)
purple = cv2.inRange(hsv,lower_purple,upper_purple)
return purple
#definindo o range da cor azul
def color_blue(hsv):
lower_blue = np.array([90,109,50],np.uint8)
upper_blue = np.array([120,255,255],np.uint8)
blue=cv2.inRange(hsv,lower_blue,upper_blue)
return blue
#definindo o range da cor verde
def color_green(hsv):
lower_green = np.array([38,120,50],np.uint8)
upper_green = np.array([80,255,255],np.uint8)
green = cv2.inRange(hsv,lower_green,upper_green)
return green
#definindo o range da cor amarelo
def color_yellow(hsv):
lower_yellow = np.array([20,110,200],np.uint8)
upper_yellow = np.array([35,255,255],np.uint8)
yellow=cv2.inRange(hsv,lower_yellow,upper_yellow)
return yellow
#definindo o range da cor laranja
def color_orange(hsv):
lower_orange = np.array([10,120,200],np.uint8)
upper_orange = np.array([21,255,255],np.uint8)
orange=cv2.inRange(hsv,lower_orange,upper_orange)
return orange
#definindo o range da cor vermelho
def color_red(hsv):
lower_red = np.array([0,150,125],np.uint8)
upper_red = np.array([10,255,255],np.uint8)
lower_red1 = np.array([176,180,125],np.uint8)
upper_red1 = np.array([179,255,255],np.uint8)
red=cv2.inRange(hsv,lower_red,upper_red)
red1=cv2.inRange(hsv,lower_red1,upper_red1)
return red,red1
def color_black(hsv):
lower_black = np.array([0,0,0],np.uint8)
upper_black = np.array([255,255,0],np.uint8)
black = cv2.inRange(hsv,lower_black,upper_black)
return black
#Retorna as cores detectáveis
def get_colors():
def_colors = ["azul","amarelo", "vermelho", "preto", "laranja","roxo", "violeta", "verde", "rosa"]
return def_colors
def processing(color, hsv):
if color == "azul":
range_color = color_blue(hsv)
elif color == "amarelo":
range_color = color_yellow(hsv)
elif color == "vermelho":
range_color = color_red(hsv)
elif color == "preto":
range_color = color_black(hsv)
elif color == "laranja":
range_color = color_orange(hsv)
elif color == "roxo":
range_color = color_purple(hsv)
elif color == "violeta":
range_color = color_violet(hsv)
elif color == "verde":
range_color = color_green(hsv)
elif color == "rosa":
range_color = color_pink(hsv)
else: range_color = 1
return range_color
def main(datapath,color):
frame = cv2.imread(datapath,cv2.IMREAD_UNCHANGED)
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) #conversao para hsv
processing(color,hsv)
num = len(color)
for x in range(0,num):
range_color = processing(color[x],hsv)
print(color[x])
if range == 1:
print("Erro")
else:
retorno=color_detector(range_color,frame,color[x])
cv2.imwrite(datapath, retorno)
return retorno
datapath = "images.jpg" #localização da imagem
color = ["azul", "verde"] # sequ
retorno = main(datapath,color)