def setup():
global cam, theBlobDetection, numPixels, backgroundPixels, newFrame, mode, bg, img
mode = 0
size(640/2, 480/2)
cameras = Capture.list()
if len(cameras) == 0:
print("There are no cameras available for capture.")
exit()
else:
print("Available cameras:")
for i,camera in enumerate(cameras):
print(i,camera)
# The camera can be initialized directly using an
# element from the array returned by list():
cam = Capture(this, cameras[7])
cam.start()
newFrame = False # is the frame ready yet?
# BlobDetection
img = PImage(width,height)
bg = PImage(width,height)
theBlobDetection = BlobDetection(img.width, img.height)
theBlobDetection.setPosDiscrimination(True)
theBlobDetection.setThreshold(0.2) # will detect bright areas whose luminosity > 0.2f;
# Background subtraction
numPixels = width * height;
backgroundPixels = [0]*numPixels # Create a list to store the background image
loadPixels();
class ImageProcessor(Thread): def __init__(self, color, debug=False): super(ImageProcessor, self).__init__() self.stream = io.BytesIO() self.event = Event() self.terminated = False self.process_time = 0 self.color = color self.debug = debug self.blob = BlobDetection(debug=False, path="./images/test/") self.start() def run(self): # This method runs in a separate thread global iteration, lock, pool, BestBlob while not self.terminated: # Wait for an image to be written to the stream if self.event.wait(1): try: self.stream.seek(0) # Read the image and do some processing on it # Construct a numpy array from the stream data = np.fromstring(self.stream.getvalue(), dtype=np.uint8) image = cv2.imdecode(data, 1) if self.debug: print '\nIteration: ', iteration, if iteration%10: #Save every 10th image blob_detected = self.blob.detect(image, self.color, save=False) else: blob_detected = self.blob.detect(image, self.color, save=True) if blob_detected: BestBlob = [self.blob.best_keypoint_x, self.blob.best_keypoint_y] BestBlob = [self.blob.best_keypoint_x, 150] if self.debug: print ' Blob: ', BestBlob else: BestBlob = [] print " No blob" iteration += 1 finally: # Reset the stream and event self.stream.seek(0) self.stream.truncate() self.event.clear() # Return ourselves to the pool with lock: pool.append(self)
def __init__(self, color, debug=False): super(ImageProcessor, self).__init__() self.stream = io.BytesIO() self.event = Event() self.terminated = False self.process_time = 0 self.color = color self.debug = debug self.blob = BlobDetection(debug=False, path="./images/test/") self.start()
