frame_width = 1920
frame_height = 1080
# Create capture
cap = cv2.VideoCapture(4)
# Set camera properties
cap.set(cv2.CAP_PROP_FRAME_WIDTH, frame_width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)
cap.set(cv2.CAP_PROP_FPS, fps)
# Create Window for stream display
cv2.namedWindow('video_realtime', cv2.WINDOW_NORMAL)
# Initialize face recognizer
fr = FaceRecognition(True)
if (not cap.isOpened()):
print "could not open webcam"
else:
print("Warning: face representation are build fresh!!")
print("Train with images from /facedatabase/images/*")
print("ID and names provided by folder name")
fr.svm = None
fr.images = {}
fr.people = {}
fr.learnFromPics()
while 1:
init_frame = np.zeros((1080, 1920, 3), np.uint8)
#out.write(init_frame)
out_cap.write(init_frame)
FPS = 5
FPS_LAST_MAIN = 5
DISTANCE_TO_FACE = 42
#print("Calling subprocess to open gst_rtsp_server")
BASE_DIR = os.path.dirname(__file__) + '/'
#p = subprocess.Popen(['python', BASE_DIR + 'gst_rtsp_server.py'])
#pp = subprocess.Popen(['python', BASE_DIR + 'webstream.py'])
fr = FaceRecognition(False)
cap = cv2.VideoCapture(
"shmsrc socket-path=/tmp/camera_1m ! video/x-raw, format=BGR ,height=1920,width=1080,framerate=30/1 ! videoconvert ! video/x-raw, format=BGR ! appsink drop=true",
cv2.CAP_GSTREAMER)
#cap = cv2.VideoCapture("shmsrc socket-path=/tmp/camera_image ! video/x-raw, format=BGR ,height=1920,width=1080,framerate=30/1 ! videoconvert ! video/x-raw, format=BGR ! appsink drop=true", cv2.CAP_GSTREAMER)
#cap = cv2.VideoCapture("shmsrc socket-path=/tmp/camera_image ! video/x-raw, format=BGR ,height=1920,width=1080,framerate=30/1 ! videoconvert ! video/x-raw, format=BGR ! appsink drop=true", cv2.CAP_GSTREAMER)
#so_controller = ImageSMController("test")
#so_controller.connectreceiver()
def to_node(type, message):
# convert to json and print (node helper will read from stdout)
try:
print(json.dumps({type: message}))
except Exception:
frame_width = 1920
frame_height = 1080
# Create capture
cap = cv2.VideoCapture(4)
# Set camera properties
cap.set(cv2.CAP_PROP_FRAME_WIDTH, frame_width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)
cap.set(cv2.CAP_PROP_FPS, fps)
# Create Window for stream display
cv2.namedWindow('video_realtime', cv2.WINDOW_NORMAL)
# Initialize face recognizer
fr = FaceRecognition(False)
if (not cap.isOpened()):
print("could not open webcam")
else:
while 1:
ret, frame = cap.read()
if ret:
rot_frame = cv2.flip(np.rot90(frame, 1), 1)
identies, identies_bb, confidences, new_frame, cap_image = fr.processframe(
rot_frame)
cv2.imshow('video_realtime', new_frame)
frame_width = 1920
frame_height = 1080
# Create capture
cap = cv2.VideoCapture(3)
# Set camera properties
cap.set(cv2.CAP_PROP_FRAME_WIDTH, frame_width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)
cap.set(cv2.CAP_PROP_FPS, fps)
# Create Window for stream display
cv2.namedWindow('video_realtime', cv2.WINDOW_NORMAL)
# Initialize face recognizer
fr = FaceRecognition(True)
if (not cap.isOpened()):
print "could not open webcam"
else:
while 1:
ret, frame = cap.read()
if ret:
identies, confidences, new_frame, cap_image = fr.processframe(
frame)
cv2.imshow('video_realtime', new_frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
frame_width = 1920
frame_height = 1080
# Create capture
cap = cv2.VideoCapture(4)
# Set camera properties
cap.set(cv2.CAP_PROP_FRAME_WIDTH, frame_width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)
cap.set(cv2.CAP_PROP_FPS, fps)
# Create Window for stream display
cv2.namedWindow('video_realtime', cv2.WINDOW_NORMAL)
# Initialize face recognizer
fr = FaceRecognition(False)
if (not cap.isOpened()):
print "could not open webcam"
else:
fr.training = True
fr.training_name = "Timm"
fr.training_id = 13
number_of_training_images = 60
print("Starting Training for: " + fr.training_name + " with ID: " +
str(fr.training_id))
print("Taking " + str(number_of_training_images) + "pictures")
while 1: