os.makedirs(directory) else: os.makedirs(directory) # Empty temporary directory; clearDirectory(config["capture"]["files_directory"]) # Capture frames from the camera and grab the raw NumPy array; if config["debug"]["print_messages"]: print "[MESSAGE] Recording and calculating motion, please wait..." #for f in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True): while(rawCapture.isOpened()): # Differentiate file or raw capture; if config["debug"]["use_file"]: ret, frame = rawCapture.read() else: frame = f.array status = 0 # Stop loop when limit is reached; if (not config["debug"]["file_loop"] and frameCounter > config["camera"]["runtime_frames"]) or (frame == None): break # Write frame (only if not analysing); if not config["debug"]["file_loop"]: cv2.imwrite(config["capture"]["files_directory"] + str(frameCounter) + ".png", frame) # Resize the frame, convert it to grayscale, and blur it; frame = imutils.resize(frame, width=600) gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
class Camera:
'''
Camera module to abstract between the Raspberry Pi camera or a standard
USB camera. Useful for testing and debugging
'''
def __init__(self, rpiCam=False, cameraNum=0, width=640, height=480, fps=30):
self.rpiCam = rpiCam
self.width = width
self.height = height
self.fps = fps
self.cameraNum = cameraNum
if self.rpiCam:
self.setupRpiCam()
else:
self.setupUsbCam()
def setupRpiCam(self):
# import the necessary packages
from picamera.array import PiRGBArray
from picamera import PiCamera
# initialize the camera and grab a reference to the raw camera capture
camera = PiCamera()
camera.resolution = (self.width, self.height)
camera.framerate = self.fps
camera.crop = (0.0, 0.0, 1.0, 1.0)
self.camera = camera
self.rawCapture = PiRGBArray(camera, size=(self.width, self.height))
self.rgb = bytearray(self.width * self.height * 3)
self.yuv = bytearray(self.width * self.height * 3 / 2)
# wait for camera to warm up
time.sleep(0.1)
def setupUsbCam(self):
# initialize the camera and grab a reference to the raw camera capture
self.rawCapture = cv2.VideoCapture(self.cameraNum)
# wait for camera to warm up
time.sleep(0.1)
def grabFrame(self):
'''
Grab a single frame from the camera
'''
if self.rpiCam:
#import yuv2rgb
#stream = io.BytesIO()
#self.camera.capture(stream, use_video_port=True, format='raw')
#stream.seek(0)
#stream.readinto(self.yuv)
#yuv2rgb.convert(self.yuv, self.rgb, self.width, self.height)
#return pygame.image.frombuffer(self.rgb[0:(self.width*self.height*3)], (self.width, self.height), 'RGB')
self.camera.capture(self.rawCapture, use_video_port=True, format='bgr')
image = self.rawCapture.array
self.rawCapture.truncate(0)
return image
else:
_, image = self.rawCapture.read()
return image
def streamFrames(self):
'''
Generator to stream images from the camera as numpy arrays. The pixels
are stored as BGR (blue, green, red)
'''
if self.rpiCam:
# capture frames from the camera
for frame in self.camera.capture_continuous(self.rawCapture, format="bgr", use_video_port=True):
try:
yield frame.array
self.rawCapture.truncate(0)
except:
break
finally:
self.cleanup()
else:
while True:
try:
yield self.grabFrame()
except:
break
finally:
self.cleanup()
def cleanup(self):
if self.rpiCam:
self.camera.close()
else:
self.rawCapture.release()
def startPreview(self):
if self.rpiCam:
self.camera.start_preview()
def stopPreview(self):
if self.rpiCam:
self.camera.stop_preview()
class Camera:
'''
Camera module to abstract between the Raspberry Pi camera or a standard
USB camera. Useful for testing and debugging
'''
def __init__(self, rpiCam=False, cameraNum=0, width=640, height=480, fps=30):
self.rpiCam = rpiCam
self.width = width
self.height = height
self.fps = fps
self.cameraNum = cameraNum
if self.rpiCam:
self.setupRpiCam()
else:
self.setupUsbCam()
def setupRpiCam(self):
# import the necessary packages
from picamera.array import PiRGBArray
from picamera import PiCamera
# initialize the camera and grab a reference to the raw camera capture
camera = PiCamera()
camera.resolution = (self.width, self.height)
camera.framerate = self.fps
self.camera = camera
self.rawCapture = PiRGBArray(camera, size=(self.width, self.height))
# wait for camera to warm up
time.sleep(0.1)
def setupUsbCam(self):
# initialize the camera and grab a reference to the raw camera capture
self.rawCapture = cv2.VideoCapture(self.cameraNum)
# wait for camera to warm up
time.sleep(0.1)
def grabFrame(self):
'''
Grab a single frame from the camera
'''
if self.rpiCam:
self.camera.capture(self.rawCapture, format="bgr")
image = self.rawCapture.array
self.rawCapture.truncate(0)
return image
else:
_, image = self.rawCapture.read()
return image
def streamFrames(self):
'''
Generator to stream images from the camera as numpy arrays. The pixels
are stored as BGR (blue, green, red)
'''
if self.rpiCam:
# capture frames from the camera
for frame in self.camera.capture_continuous(self.rawCapture, format="bgr", use_video_port=True):
try:
yield frame.array
self.rawCapture.truncate(0)
except:
break
finally:
self.cleanup()
else:
while True:
try:
yield self.grabFrame()
except:
break
finally:
self.cleanup()
def cleanup(self):
if self.rpiCam:
self.camera.close()
else:
self.rawCapture.release()
class Camera:
'''
Camera module to abstract between the Raspberry Pi camera or a standard
USB camera. Useful for testing and debugging
'''
def __init__(self,
rpiCam=False,
cameraNum=0,
width=640,
height=480,
fps=30):
self.rpiCam = rpiCam
self.width = width
self.height = height
self.fps = fps
self.cameraNum = cameraNum
if self.rpiCam:
self.setupRpiCam()
else:
self.setupUsbCam()
def setupRpiCam(self):
# import the necessary packages
from picamera.array import PiRGBArray
from picamera import PiCamera
# initialize the camera and grab a reference to the raw camera capture
camera = PiCamera()
camera.resolution = (self.width, self.height)
camera.framerate = self.fps
camera.crop = (0.0, 0.0, 1.0, 1.0)
self.camera = camera
self.rawCapture = PiRGBArray(camera, size=(self.width, self.height))
self.rgb = bytearray(self.width * self.height * 3)
self.yuv = bytearray(self.width * self.height * 3 / 2)
# wait for camera to warm up
time.sleep(0.1)
def setupUsbCam(self):
# initialize the camera and grab a reference to the raw camera capture
self.rawCapture = cv2.VideoCapture(self.cameraNum)
# wait for camera to warm up
time.sleep(0.1)
def grabFrame(self):
'''
Grab a single frame from the camera
'''
if self.rpiCam:
#import yuv2rgb
#stream = io.BytesIO()
#self.camera.capture(stream, use_video_port=True, format='raw')
#stream.seek(0)
#stream.readinto(self.yuv)
#yuv2rgb.convert(self.yuv, self.rgb, self.width, self.height)
#return pygame.image.frombuffer(self.rgb[0:(self.width*self.height*3)], (self.width, self.height), 'RGB')
self.camera.capture(self.rawCapture,
use_video_port=True,
format='bgr')
image = self.rawCapture.array
self.rawCapture.truncate(0)
return image
else:
_, image = self.rawCapture.read()
return image
def streamFrames(self):
'''
Generator to stream images from the camera as numpy arrays. The pixels
are stored as BGR (blue, green, red)
'''
if self.rpiCam:
# capture frames from the camera
for frame in self.camera.capture_continuous(self.rawCapture,
format="bgr",
use_video_port=True):
try:
yield frame.array
self.rawCapture.truncate(0)
except:
break
finally:
self.cleanup()
else:
while True:
try:
yield self.grabFrame()
except:
break
finally:
self.cleanup()
def cleanup(self):
if self.rpiCam:
self.camera.close()
else:
self.rawCapture.release()
def startPreview(self):
if self.rpiCam:
self.camera.start_preview()
def stopPreview(self):
if self.rpiCam:
self.camera.stop_preview()
from picamera.array import PiRGBArray
from picamera import PiCamera
import cv2
camera = PiCamera()
camera.resolution = (320, 240)
camera.framerate = 30
cap = PiRGBArray(camera, size=(320, 240))
while(True):
ret, frame = cap.read()
gray_img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
ret, threshold_img = cv2.threshold(gray_img, 15, 255, cv2.THRESH_BINARY)
cv2.imshow('Gray', gray_img)
threshold2BGR_img = cv2.cvtColor(threshold_img, cv2.COLOR_GRAY2BGR)
height, width = threshold_img.shape
roi_img = threshold_img[0:height//2, 0:width//2]
roi_left = threshold_img[0:height//2, 0:width//4]
roi_right = threshold_img[0:height//2, width//4:width//2]
left_pxls = cv2.countNonZero(roi_left)
right_pxls = cv2.countNonZero(roi_right)
print(left_pxls/right_pxls)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
class DataLoader(object):
DEVICE_CAM, DEVICE_CAM_RPI = range(0, 2)
def __init__(self, dev_type, config):
self.dev_type = dev_type
self.cam = None
self.stop_cap = None
self.cap = None
self.__init_device()
def __init_device(self):
if self.dev_type == self.DEVICE_CAM_RPI:
self.cam = PiCamera()
try:
self.cam.resolution = [
int(config.resulution.width),
int(config.resolution.height)
]
except AttributeError as e:
print(e)
pass
try:
self.cam.framerate = int(config.frame_rate)
except AttributeError:
print(e)
pass
try:
self.cam.brightness = int(config.brightness)
except AttributeError:
print(e)
pass
try:
self.cam.contrast = int(config.contrast)
except AttributeError:
print(e)
pass
self.cap = PiRGBArray(self.cam)
self.stop_cap = self.cam.stop_preview
elif self.dev_type == self.DEVICE_CAM:
self.cap = cv2.VideoCapture(0)
self.stop_cap = self.cap.release
else:
raise ValueError("Incorrect device type had been provided.")
def __get_files(self):
if self.dev_type == self.DEVICE_CAM_RPI:
while (True):
frame = self.cam.capture_continuous(self.cap, format="bgr")
yield frame
elif self.dev_type == self.DEVICE_CAM:
while (True):
ret, frame = self.cap.read()
yield frame
def get_data_frame(self):
try:
for dframe in self.__get_files():
yield dframe
except StopIteration:
self.stop_cap()
def main():
import cv2
import numpy as np
import time
import rpi
from picamera.array import PiRGBArray
from picamera import PiCamera
#set the GPIO pins of raspberry pi.
GPIO.setmode (GPIO.BCM)
GPIO.setwarnings (False)
#enable
GPIO.setup(16, GPIO.OUT)
GPIO.setup(20, GPIO.OUT)
#setting the GPIO pin as Output
GPIO.setup (24, GPIO.OUT)
GPIO.setup (23, GPIO.OUT)
GPIO.setup (27, GPIO.OUT)
GPIO.setup (22, GPIO.OUT)
#GPIO.PWM( pin, frequency ) it generates software PWM
PWMR = GPIO.PWM (24, 100)
PWMR1 = GPIO.PWM (23, 100)
PWML = GPIO.PWM (27, 100)
PWML1 = GPIO.PWM (22, 100)
#Starts PWM at 0% dutycycle
PWMR.start (0)
PWMR1.start (0)
PWML.start (0)
PWML1.start (0)
#enable pins of the motor
GPIO.output(16, GPIO.HIGH)
GPIO.output(20, GPIO.HIGH)
camera = PiCamera()
capture = PiRGBArray(camera,(640,480))
camera.capture(capture, format="bgr")
image = capture.array
capture.set(3,320.0) #set the size
capture.set(4,240.0) #set the size
capture.set(5,15) #set the frame rate
#set the resolution of the video to be captured
camera.resolution = (640,480)
#set the framerate
cam.framerate = 30
for i in range(0,2):
flag, trash = capture.read() #starting unwanted null value
while cv2.waitKey(1) != 27:
flag, frame = capture.read() #read the video in frames
gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)#convert each frame to grayscale.
blur=cv2.GaussianBlur(gray,(5,5),0)#blur the grayscale image
ret,th1 = cv2.threshold(blur,35,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)#using threshold remave noise
ret1,th2 = cv2.threshold(th1,127,255,cv2.THRESH_BINARY_INV)# invert the pixels of the image frame
_,contours, hierarchy = cv2.findContours(th2,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE) #find the contours
# cv2.drawContours(frame,contours,-1,(0,255,0),3)
# cv2.imshow('frame',frame) #show video
for cnt in contours:
if cnt is not None:
area = cv2.contourArea(cnt)# find the area of contour
if area>=500 : #If detected area of contour is greater than 500 then it indicates Zone Indicator and thus further searches for contours shapes
# find moment and centroid of detect contours and then search the loop for appropriate image for zone indicator to overlay
M = cv2.moments(cnt)
cx = int(M['m10']/M['m00'])
cy = int(M['m01']/M['m00'])
rect = cv2.minAreaRect(cnt)
box = cv2.boxPoints(rect)
box = np.int0(box)
cv2.drawContours(frame,[box],0,(0,0,255),2)
if box>=5000
#motor stop code
pixel = frame [cy,cx]
if pixel[0] != 255 and pixel[1] != 255 and pixel[2] != 255:
x,y,w,h = cv2.boundingRect(cnt) #compute bounding rectangle of each contour
if pixel[0] == 254 :
mycolor='BLUE' #.. I have BLUE Contour
if pixel[1] == 127 :
mycolor='GREEN' #.. I have Green Contour put Red Flower
overlay_image = cv2.resize(image_green,(h,w))
if pixel[2] == 254 :
mycolor='RED' #.. I have RED Contour
overlay_image = cv2.resize(image_red,(h,w))
try:
if len(approx)==3:
myshape= "Triangle"
if len(approx)==4:
myshape= "Quadrilateral"
if len(approx)==5:
myshape= "Pentagon"
if len(approx)==6:
myshape= "Hexgaon"
if len(approx) > 7:
myshape= "CIRCLE"
except:
print 'ERROR IN PROCESSING'
#Approx polyDP is used to remove shadow (noise) and thus enable us to detect pure path to follow
approx = cv2.approxPolyDP(cnt,0.01*cv2.arcLength(cnt,True),True)
frame[y:y+w,x:x+h,:] = blend_transparent(frame[y:y+w,x:x+h,:], overlay_image) # this will call the blend function to overlay
time.sleep(5) #motor will stop for 5 seconds and overlay will start
#To detect color and shape and choosing proper image
if mycolor=='BLUE':
if myshape=="Triangle":
overlay_image = cv2.resize('tulipblue.png',(h,w))
elif myshape== "Square":
overlay_image = cv2.resize('hydrangeablue.png',(h,w))
elif myshape=="Circle":
overlay_image = cv2.resize('orchid.png',(h,w))
if mycolor == 'GREEN':
if myshape=="Triangle":
overlay_image = cv2.resize('hydrangeayellow.png',(h,w))
elif myshape== "Square":
overlay_image = cv2.resize('sunflower.png',(h,w))
elif myshape=="Circle":
overlay_image = cv2.resize('lily-double.png',(h,w))
if mycolor == 'RED':
if myshape=="Triangle":
overlay_image = cv2.resize('tulipred.png',(h,w))
elif myshape== "Square":
overlay_image = cv2.resize('gerber.png',(h,w))
elif myshape=="Circle":
overlay_image = cv2.resize('carnation.png',(h,w))
# If Zone Indicator is not detected then Search for contour's position and decide to move accordingly
# If cx is less than 150 means centroid detect to left so take LEFT turn
else cx<=150:
l=(cx*100/160)
PWMR.start (0)
PWML.start (0)
PWMR1.ChangeDutyCycle (100)
PWML1.ChangeDutyCycle (abs(l-25))
time.sleep(.08)
# If cx is greater than 170 means centroid detect to right so take RIGHT turn
elif cx>=170:
r=((320-cx)*100/160)
PWMR.start (0)
PWML.start (0)
PWMR1.ChangeDutyCycle (abs(r-25))
PWML1.ChangeDutyCycle (100)
time.sleep(.08)
# If in between this range then take a slight LEFT
elif cx>151 and cx<169:
PWMR.start (0)
PWML.start (0)
PWMR1.ChangeDutyCycle (96)
PWML1.ChangeDutyCycle (100)
time.sleep(.3)
