def motion_detection(camera, folder, until):
"""
Uses 3 frames to look for motion, can't remember where
I found it but it gives better result than my first try
with comparing 2 frames.
"""
utils.clear_directory(folder)
# Need to get 2 images to start with
previous_image = cv2.cvtColor(camera.read()[1], cv2.cv.CV_RGB2GRAY)
current_image = cv2.cvtColor(camera.read()[1], cv2.cv.CV_RGB2GRAY)
purple = (140, 25, 71)
while True:
now = datetime.datetime.now()
_, image = camera.read()
gray_image = cv2.cvtColor(image, cv2.cv.CV_RGB2GRAY)
difference1 = cv2.absdiff(previous_image, gray_image)
difference2 = cv2.absdiff(current_image, gray_image)
result = cv2.bitwise_and(difference1, difference2)
# Basic threshold, turn the bitwise_and into a black or white (haha)
# result, white (255) being a motion
_, result = cv2.threshold(result, 40, 255, cv2.THRESH_BINARY)
# Let's show a square around the detected motion in the original pic
low_point, high_point = utils.find_motion_boundaries(result.tolist())
if low_point is not None and high_point is not None:
cv2.rectangle(image, low_point, high_point, purple, 3)
print 'Motion detected ! Taking picture'
utils.save_image(image, folder, now)
previous_image = current_image
current_image = gray_image
if utils.time_over(until, now):
break
del(camera)
def motion_detection(camera, folder, until):
"""
Uses 3 frames to look for motion, can't remember where
I found it but it gives better result than my first try
with comparing 2 frames.
"""
utils.clear_directory(folder)
# Need to get 2 images to start with
previous_image = cv2.cvtColor(camera.read()[1], cv2.cv.CV_RGB2GRAY)
current_image = cv2.cvtColor(camera.read()[1], cv2.cv.CV_RGB2GRAY)
purple = (140, 25, 71)
while True:
now = datetime.datetime.now()
_, image = camera.read()
gray_image = cv2.cvtColor(image, cv2.cv.CV_RGB2GRAY)
difference1 = cv2.absdiff(previous_image, gray_image)
difference2 = cv2.absdiff(current_image, gray_image)
result = cv2.bitwise_and(difference1, difference2)
# Basic threshold, turn the bitwise_and into a black or white (haha)
# result, white (255) being a motion
_, result = cv2.threshold(result, 40, 255, cv2.THRESH_BINARY)
# Let's show a square around the detected motion in the original pic
low_point, high_point = utils.find_motion_boundaries(result.tolist())
if low_point is not None and high_point is not None:
cv2.rectangle(image, low_point, high_point, purple, 3)
print 'Motion detected ! Taking picture'
utils.save_image(image, folder, now)
previous_image = current_image
current_image = gray_image
if utils.time_over(until, now):
break
del (camera)
def start_camera(camera, folder, interval, until=None):
"""
Start taking pictures every interval.
If until is specified, it will take pictures
until that time is reached (24h format).
Needs to be of the following format: HH:MM
"""
utils.clear_directory(folder)
number = 0
while True:
_, image = camera.read()
now = datetime.datetime.now()
number += 1
print('Taking picture number %d at %s' % (number, now.isoformat()))
utils.save_image(image, folder, now)
if utils.time_over(until, now):
break
time.sleep(interval)
del (camera)
def start_camera(camera, folder, interval, until=None):
"""
Start taking pictures every interval.
If until is specified, it will take pictures
until that time is reached (24h format).
Needs to be of the following format: HH:MM
"""
utils.clear_directory(folder)
number = 0
while True:
_, image = camera.read()
now = datetime.datetime.now()
number += 1
print 'Taking picture number %d at %s' % (number, now.isoformat())
utils.save_image(image, folder, now)
if utils.time_over(until, now):
break
time.sleep(interval)
del(camera)
