def media_publish(publisher, data):
if len(data) > 0:
try:
(image, now) = data
filename = "{}-{}-{}-{}.jpg".format(now.hour, now.minute, now.second, now.microsecond)
target = "/Secure/Camera/{}/{}/{}/{}".format(now.year, now.month, now.day, filename)
source = "{}/{}".format(tempfile.gettempdir(), filename)
logging.info("Uploading file: {}".format(target))
cv2.imwrite(source, image)
publisher.upload(source, target)
os.remove(source)
logging.info("Upload completed; file: {}".format(target))
except Exception as e:
logging.error("Upload error {}".format(e))
def publish(publisher, data):
for m in data:
publisher.publish("video/event", m)
print m
time.sleep(1)
labels2Path = "mobilenet/object_detection_classes.txt"
labels = open(labels1Path).read().strip().split("\n")
labels_ru = open(labels2Path).read().strip().split("\n")
vs = cv2.VideoCapture(0)
(grabbed, frame) = vs.read()
motion_detector = md.MotionDetector(frame)
#object_detector = tod.TensorObjectDetector(weightsPath, configPath)
object_detector = cod.CaffeObjectDetector(weightsPath, configPath)
processor = fp.FrameProcessor(motion_detector, object_detector, labels)
cv2.namedWindow("out_img", cv2.WINDOW_NORMAL)
publisher_worker = publisher.PublisherThread(p.MqttPublisher("1.2.3.4", 1883, "user", "password"),
data_to_publish, publish, 10)
publisher_worker.start()
while True:
(grabbed, img) = vs.read()
#img = cv2.resize(frame, (0, 0), fx=0.8, fy=0.8)
(out_img, out_labels_idxs) = processor.process(img)
for i in out_labels_idxs:
publisher_worker.schedule(labels_ru[i])
cv2.imshow('out_img', out_img)
cv2.waitKey(1)
cv2.destroyAllWindows()
def get_media_publisher(media_config):
return publisher.PublisherThread("media fire",
mfp.MediaFirePublisher(media_config["user"], media_config["password"], media_config["maxClients"]),
media_data_to_publish, media_publish, media_config["publisher"]["delay"], media_config["publisher"]["threads"])
def get_mqtt_publisher(mqtt_config):
return publisher.PublisherThread("mqtt",
p.MqttPublisher(mqtt_config["host"], mqtt_config["port"], mqtt_config["user"], mqtt_config["password"]),
data_to_publish, publish, mqtt_config["publisher"]["delay"], mqtt_config["publisher"]["threads"])
def publish(publisher, data):
for m in data:
publisher.publish("video/event", m)
logging.info("Publishing event: {}".format(m))
time.sleep(1)
def publish(publisher, data):
(mbox, frame) = data
publisher.upload("IMG_20150801_180120.jpg", "/Tmp/test.jpg")
mbox = (min(mx, x), min(my, y), max(mw, w), max(mh, h))
return mbox
return None
def publish(publisher, data):
(mbox, frame) = data
publisher.upload("IMG_20150801_180120.jpg", "/Tmp/test.jpg")
vs = cv2.VideoCapture(0)
cv2.namedWindow("out_img", cv2.WINDOW_NORMAL)
(grabbed, frame) = vs.read()
motion_detector = md.MotionDetector(frame)
publisher_worker = publisher.PublisherThread(mfp.MediaFirePublisher("username", "password"),
lambda q : q.pop(0), publish, 0.1)
publisher_worker.start()
while True:
(grabbed, frame) = vs.read()
boxes = motion_detector.detect(frame)
mbox = max_box(boxes)
if mbox:
(x, y, w, h) = mbox
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
publisher_worker.schedule((mbox, frame))
cv2.imshow('out_img', frame)
cv2.waitKey(1)
cv2.destroyAllWindows()