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resistance_detection_dode
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resistance_detection_dode
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from picamera2 import Picamera2, Preview
import cv2
import numpy as np
import time
import math
import RPi.GPIO as GP
Led_pin = 17
GP.setmode(GP.BCM)
GP.setup(Led_pin, GP.OUT)
GP.output(Led_pin,GP.HIGH)
#time.sleep(10)
lower = np.array([0,30,0])
upper = np.array([110,255,255])
golden_lower = np.array([0,65,0])
golden_upper = np.array([25,140,255])
kernal = np.ones((7,7),np.uint8)
picam2 = Picamera2()
camera_config = picam2.create_preview_configuration()
picam2.configure(camera_config)
picam2.start()
COLOR_BOUNDS = [
[(120,65,0) , (140,255,255) ,"BLACK", 0, (0,0,0)],
[(145,50,0) , (179,255,25) ,"BROWN", 1, (0,51,102)],
[(0,65,0) , (25,140,255) ,"GOLDEN",10,(0,15,255)],
[(159,60,45) , (179,255,67),"RED" , 2 , (255,0,0)],
[(0,160,40) ,(25,255,255), "ORANGE", 3, (0,128,52)],
[(15, 0, 0) , (40, 255, 255) , "YELLOW" , 4 , (0,255,255) ],
[(55, 80, 0) , (75, 255, 50) , "GREEN" , 5 , (0,255,0) ],
[(100, 145, 0) , (125, 255, 71) , "BLUE" , 6 , (255,0,0) ],
[(120, 55, 0) , (150, 255, 10) , "PURPLE" , 7 , (255,0,127) ],
[(115, 55, 30) , (160, 255, 55) , "GRAY" , 8 , (128,128,128) ],
[(0, 0, 50) , (119, 65, 255) , "WHITE" , 9 , (255,255,255) ],
];
while True:
frame = picam2.capture_array()
img1 = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
img = cv2.cvtColor(img1,cv2.COLOR_BGR2HSV)
mask = cv2.inRange(img,lower,upper)
mask = cv2.morphologyEx(mask,cv2.MORPH_CLOSE,kernal)
mask = cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernal)
mask = cv2.inRange(img,lower,upper)
mask = cv2.morphologyEx(mask,cv2.MORPH_CLOSE,kernal)
mask = cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernal)
contours,hierarchy = cv2.findContours(mask.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
h = 0
w = 0
output = mask
if len(contours) != 0:
for contour in contours:
if cv2.contourArea(contour) > 100:
x,y,w,h = cv2.boundingRect(contour)
#cv2.circle(frame,(x,y),70,(0,0,255),1)
cv2.rectangle(img1,(x-w,y-h),(x+2*w,y+2*h),(0,0,255),1)
l = x + w
g = y + h
output = frame[y:y+h, x:x+w]
if h > w :
output = cv2.rotate(output,cv2.ROTATE_90_CLOCKWISE)
output = cv2.resize(output,(720,360))
output = cv2.cvtColor(output,cv2.COLOR_BGR2RGB)
kernal_25 = np.ones((25,25),np.float32)/625.0
#sharpen_bgr = cv2.filter2D(output,-1,kernal_25)
#out.write(sharpen_bgr)
sharpen = cv2.cvtColor(output,cv2.COLOR_BGR2HSV)
# golden_lower = np.array([125,50,0])
# golden_upper = np.array([145,255,78])
golden_kernal = np.ones((5,5),np.uint8)
golden_mask = cv2.inRange(sharpen,golden_lower,golden_upper)
golden_mask = cv2.morphologyEx(golden_mask,cv2.MORPH_CLOSE,golden_kernal)
golden_mask = cv2.morphologyEx(golden_mask,cv2.MORPH_OPEN,golden_kernal)
golden_contours,golden_hierarchy = cv2.findContours(golden_mask.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
if len(golden_contours) != 0:
for contour in golden_contours:
if cv2.contourArea(contour) > 5000:
x,y,w,h = cv2.boundingRect(contour)
#cv2.circle(frame,(x,y),70,(0,0,255),1)
if x < 360:
sharpen = cv2.flip(sharpen,1)
output = cv2.flip(output,1)
bands = [];
for i in COLOR_BOUNDS:
color_mask = cv2.inRange(sharpen,i[0],i[1])
color_mask = cv2.morphologyEx(color_mask,cv2.MORPH_CLOSE,golden_kernal)
color_mask = cv2.morphologyEx(color_mask,cv2.MORPH_OPEN,golden_kernal)
color_contours,color_hierarchy = cv2.findContours(color_mask.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
area_max = 0
no_band = 0
if len(color_contours) != 0:
for contour in color_contours:
if cv2.contourArea(contour) > 3000:
x,y,w,h = cv2.boundingRect(contour)
cv2.rectangle(output,(x,y),(x+w,y+h),(0,0,255),1)
area_max = cv2.contourArea(contour)
cv2.putText(output,i[2],(x,y),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),1)
#cv2.putText(output,str(cv2.contourArea(contour)),(x+w,y+h),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),1)
cv2.putText(output,str(x),(x+w,y+h),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),1)
# cv2.putText(output,str(y),(x+w+10,y+h+10),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),1)
#cv2.putText(output,str(i[3]),(x+w,y+h),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),1)
bands.append([i[3],x])
no_band += 1
for j in bands:
if j[0] == i[3] & x != j[0] & abs(x-j[0]) > 2*h:
bands.append((i[3],x))
for i in range(0,len(bands)):
for j in range(0,len(bands)-i-1):
if bands[j][1] > bands[j+1][1]:
temp = bands[j]
bands[j] = bands[j+1]
bands[j+1] = temp
if len(bands) == 4:
resistance = (bands[0][0]*10 + bands[1][0])*(math.pow(10,bands[2][0]))
cv2.putText(img1,str(resistance),(l,g),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),1)
cv2.imshow("mask1",mask)
#cv2.imshow("webcam",frame)
cv2.imshow("img",img1)
cv2.imshow("HSV",img)
cv2.imshow("output",output)
cv2.imshow("sharpen",sharpen)
cv2.imshow("golden",golden_mask)
#cv2.imshow("IMGRESISTOR",sharpen_bgr)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
time.sleep(0)