Space Apps Challenge 2018

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# -*- coding: utf-8 -*-
"""
Created on Sun Oct 21 01:21:35 2018
@author: Gnahy
"""
importcv2
importnumpyasnp
frommatplotlibimportpyplotasplt
img=cv2.imread('img1.jpg',1)
img_yuv=cv2.cvtColor(img, cv2.COLOR_BGR2YUV)
# equalize the histogram of the Y channel
img_yuv[:,:,0] =cv2.equalizeHist(img_yuv[:,:,0])
# convert the YUV image back to RGB format
img_output=cv2.cvtColor(img_yuv, cv2.COLOR_YUV2BGR)
cv2.imshow('Color input image', img)
cv2.imshow('Histogram equalized', img_output)
cv2.waitKey(0)
""" Clarify Greyscale images
plt.hist(img.ravel(),256,[0,256]); plt.show()
equ = cv2.equalizeHist(img)
plt.hist(equ.ravel(),256,[0,256]); plt.show()
res = np.hstack((img,equ)) #stacking images side-by-side
cv2.imwrite('res.png',res)"""
view raw Image_Clarification.py hosted with ❤ by GitHub
importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importRPi.GPIOasGPIO# Import the GPIO library.
importtime# Import time library
GPIO.setmode(GPIO.BOARD)
GPIO.setup(10, GPIO.OUT)
GPIO.setup(8, GPIO.OUT)
GPIO.setup(24, GPIO.OUT)
GPIO.setup(26, GPIO.OUT)
GPIO.setup(29, GPIO.OUT)
GPIO.setup(31, GPIO.OUT)
GPIO.setup(36, GPIO.OUT)
GPIO.setup(38, GPIO.OUT)
GPIO.setup(12, GPIO.OUT) # Set GPIO pin 12 to output mode.
pwm=GPIO.PWM(12, 100)
GPIO.setup(32, GPIO.OUT) # Set GPIO pin 12 to output mode.
pwm1=GPIO.PWM(32, 100)
GPIO.setup(33, GPIO.OUT) # Set GPIO pin 12 to output mode.
pwm2=GPIO.PWM(33, 100)
GPIO.setup(35, GPIO.OUT) # Set GPIO pin 12 to output mode.
pwm3=GPIO.PWM(35, 100)
pwm.start(0)
pwm1.start(0)
pwm2.start(0)
pwm3.start(0)
GPIO.output(29,GPIO.HIGH)
GPIO.output(31,GPIO.LOW)
GPIO.output(36,GPIO.LOW)
GPIO.output(38,GPIO.HIGH)
pwm2.ChangeDutyCycle(100)
pwm3.ChangeDutyCycle(100)
time.sleep(8)
pwm2.ChangeDutyCycle(0)
pwm3.ChangeDutyCycle(0)
GPIO.output(8,GPIO.HIGH)
GPIO.output(10,GPIO.LOW)
GPIO.output(24,GPIO.HIGH)
GPIO.output(26,GPIO.LOW)
pwm.ChangeDutyCycle(0)
pwm1.ChangeDutyCycle(100)
cap=cv2.VideoCapture(0) #Webcam Capture
while(True):
ret, frame=cap.read()
gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
template=cv2.imread('gate.jpg',0)
w, h=template.shape[::-1]
res=cv2.matchTemplate(gray,template,cv2.TM_CCOEFF_NORMED)
threshold=0.8
loc=np.where(res>threshold)
min_val, max_val, min_loc, max_loc=cv2.minMaxLoc(res)
top_left=min_loc
bottom_right= (top_left[0]+w,top_left[1]+h)
cv2.rectangle(frame,top_left, bottom_right, 255, 1)
cv2.putText(frame, 'Detected Face ID: ', (top_left[0],top_left[1]-10),
cv2.FONT_HERSHEY_PLAIN, 1.0, (255,255,255))
cv2.imshow('Test',frame)
cv2.imshow('result',res)
lower_blue=np.array([100,10,10])
upper_blue=np.array([255,100,100])
lower_red=np.array([10,10,100])
upper_red=np.array([100,100,255])
lower_green=np.array([10,100,10])
upper_green=np.array([100,255,100])
mask_blue=cv2.inRange(frame, lower_blue, upper_blue)
mask_red=cv2.inRange(frame, lower_red, upper_red)
mask_green=cv2.inRange(frame, lower_green, upper_green)
# Bitwise-AND mask and original image
# res_blue = cv2.bitwise_and(frame,frame, mask_blue= mask_blue)
# res_red = cv2.bitwise_and(frame,frame, mask_red= mask_red)
# res_green = cv2.bitwise_and(frame,frame, mask_green= mask_green)
cv2.imshow('Blue',mask_blue)
cv2.imshow('Red',mask_red)
cv2.imshow('Green',mask_green)
if(res.all()):
pwm.ChangeDutyCycle(100)
pwm1.ChangeDutyCycle(100)
time.sleep(5)
else:
pwm.ChangeDutyCycle(0)
pwm1.ChangeDutyCycle(100)
ifcv2.waitKey(1) &0xFF==ord('q'):
break
GPIO.cleanup()
cap.release()
cv2.destroyAllWindows()
view raw Motor control.py hosted with ❤ by GitHub
importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
cap=cv2.VideoCapture(0) #Webcam Capture
while(True):
ret, frame=cap.read()
gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
template=cv2.imread('gate.jpg',0)
w, h=template.shape[::-1]
res=cv2.matchTemplate(gray,template,cv2.TM_SQDIFF)
min_val, max_val, min_loc, max_loc=cv2.minMaxLoc(res)
top_left=min_loc
bottom_right= (top_left[0]+w,top_left[1]+h)
cv2.rectangle(frame,top_left, bottom_right, 255, 1)
cv2.putText(frame, 'Detected Face ID: ', (top_left[0],top_left[1]-10),
cv2.FONT_HERSHEY_PLAIN, 1.0, (255,255,255))
cv2.imshow('Test',frame)
lower_blue=np.array([100,10,10])
upper_blue=np.array([255,100,100])
lower_red=np.array([10,10,100])
upper_red=np.array([100,100,255])
lower_green=np.array([10,100,10])
upper_green=np.array([100,255,100])
mask_blue=cv2.inRange(frame, lower_blue, upper_blue)
mask_red=cv2.inRange(frame, lower_red, upper_red)
mask_green=cv2.inRange(frame, lower_green, upper_green)
# Bitwise-AND mask and original image
# res_blue = cv2.bitwise_and(frame,frame, mask_blue= mask_blue)
# res_red = cv2.bitwise_and(frame,frame, mask_red= mask_red)
# res_green = cv2.bitwise_and(frame,frame, mask_green= mask_green)
cv2.imshow('Blue',mask_blue)
cv2.imshow('Red',mask_red)
cv2.imshow('Green',mask_green)
# cv2.imshow('res',res)
ifcv2.waitKey(1) &0xFF==ord('q'):
break
cap.release()
cv2.destroyAllWindows()
view raw temp.py hosted with ❤ by GitHub
gnahyGhulam Nabi Ahmed Hassan Yar

This is link for Presentation and problems for underwater image processing files.

"https://www.dropbox.com/sh/745m7x54d07imul/AAB-ueR..."

gnahyGhulam Nabi Ahmed Hassan Yar
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SpaceApps is a NASA incubator innovation program.