def main(args: argparse.Namespace):
dataset = Path(args.dataset)
dest = Path(args.dest)
dest.mkdir(parents=True, exist_ok=True)
with tqdm(total=len(list(dataset.iterdir()))) as task:
for sequence in sorted(
dataset.iterdir() if not args.no_sequence else [dataset]):
task.set_description(sequence.stem)
tracker = Tracker()
loader = data.Dataset(str(sequence), data.get(args.type),
args.jump)
with open(str(dest.joinpath('{}.txt'.format(sequence.stem))),
'w') as file:
for frame, (image, boxes, scores,
image_name) in enumerate(tqdm(loader)):
# Mask R-CNN Detection Support
if args.support is not None:
try:
support = Path(args.support).joinpath(
'{}.txt'.format(image_name))
support = pd.read_csv(str(support),
header=None).values
support_boxes = support[:, 2:6]
support_boxes[:, 2:] -= support_boxes[:, :2]
support_scores = support[:, 1]
if args.support_only:
boxes = support_boxes
scores = support_scores
else:
boxes = np.concatenate([
boxes,
support_boxes,
])
scores = np.concatenate([
scores,
support_scores,
])
except pd.errors.EmptyDataError:
boxes = np.zeros((0, 4))
scores = np.zeros(0)
file.writelines(
map(
lambda t: ', '.join(
map(str, [
frame, t.id, *t.to_tlwh, 1, -1, -1, -1, -1
])) + '\n',
tracker.update(image, boxes, scores)))
task.update()
def append_box(self, label_name):
if self.p0[0] - self.p1[0] >= 0 or self.p0[1] - self.p1[1] >= 0:
self.p0,self.p1=(min(self.p0[0],self.p1[0]),min(self.p0[1],self.p1[1])),\
(max(self.p0[0],self.p1[0]),max(self.p0[1],self.p1[1]))
self.boxes.append([self.p0, self.p1])
self.colors.append([255, 0, 255])
tracker = Tracker()
tracker.start(self.video_im, self.p0, self.p1)
self.trackers.append(tracker)
self.labels.append(label_name)
def __init__(self, torrent):
self.tracker = Tracker(torrent)
# The list of potential peers is the work queue, consumed by the
# PeerConnections
self.available_peers = Queue()
# The list of peers is the list of workers that *might* be connected
# to a peer. Else they are waiting to consume new remote peers from
# the `available_peers` queue. These are our workers!
self.peers = []
# The piece manager implements the strategy on which pieces to
# request, as well as the logic to persist received pieces to disk.
self.piece_manager = PieceManager(torrent)
self.abort = False
def __init__(
self,
data: bytes,
proto: int,
src: Ip4Address,
dst: Ip4Address,
ttl: int = config.IP4_DEFAULT_TTL,
dscp: int = 0,
ecn: int = 0,
id: int = 0,
flag_mf: bool = False,
offset: int = 0,
options: Optional[list[Ip4OptNop | Ip4OptEol]] = None,
):
"""Class constructor"""
assert proto in {IP4_PROTO_ICMP4, IP4_PROTO_UDP, IP4_PROTO_TCP}
self._tracker: Tracker = Tracker("TX")
self._ver: int = 4
self._dscp: int = dscp
self._ecn: int = ecn
self._id: int = id
self._flag_df: bool = False
self._flag_mf: bool = flag_mf
self._offset: int = offset
self._ttl: int = ttl
self._src: Ip4Address = src
self._dst: Ip4Address = dst
self._options: list[Ip4OptNop
| Ip4OptEol] = [] if options is None else options
self._data: bytes = data
self._proto: int = proto
self._hlen: int = IP4_HEADER_LEN + len(self._raw_options)
self._plen: int = len(self)
def __init__(self, sport: int, dport: int, data: Optional[bytes] = None, echo_tracker: Optional[Tracker] = None) -> None:
"""Class constructor"""
self._tracker: Tracker = Tracker("TX", echo_tracker)
self._sport: int = sport
self._dport: int = dport
self._data: bytes = b"" if data is None else data
self._plen: int = UDP_HEADER_LEN + len(self._data)
def __init__(
self,
sport: int,
dport: int,
seq: int = 0,
ack: int = 0,
flag_ns: bool = False,
flag_crw: bool = False,
flag_ece: bool = False,
flag_urg: bool = False,
flag_ack: bool = False,
flag_psh: bool = False,
flag_rst: bool = False,
flag_syn: bool = False,
flag_fin: bool = False,
win: int = 0,
urp: int = 0,
options: Optional[list[TcpOptMss | TcpOptWscale | TcpOptSackPerm
| TcpOptTimestamp | TcpOptEol
| TcpOptNop]] = None,
data: Optional[bytes] = None,
echo_tracker: Optional[Tracker] = None,
) -> None:
"""Class constructor"""
self._tracker: Tracker = Tracker("TX", echo_tracker)
self._sport: int = sport
self._dport: int = dport
self._seq: int = seq
self._ack: int = ack
self._flag_ns: bool = flag_ns
self._flag_crw: bool = flag_crw
self._flag_ece: bool = flag_ece
self._flag_urg: bool = flag_urg
self._flag_ack: bool = flag_ack
self._flag_psh: bool = flag_psh
self._flag_rst: bool = flag_rst
self._flag_syn: bool = flag_syn
self._flag_fin: bool = flag_fin
self._win: int = win
self._urp: int = urp
self._options: list[TcpOptMss | TcpOptWscale | TcpOptSackPerm
| TcpOptTimestamp | TcpOptEol
| TcpOptNop] = [] if options is None else options
self._data: bytes = b"" if data is None else data
self._hlen: int = TCP_HEADER_LEN + sum([len(_) for _ in self._options])
assert self._hlen % 4 == 0, f"TCP header len {self._hlen} is not multiplcation of 4 bytes, check options... {self._options}"
def __init__(self, frame: bytes) -> None:
"""Class constructor"""
self.frame: memoryview = memoryview(frame)
self.tracker: Tracker = Tracker("RX")
self.parse_failed: str = ""
self.ether: EtherParser
self.arp: ArpParser
self.ip: Union[Ip6Parser, Ip4Parser]
self.ip4: Ip4Parser
self.ip6: Ip6Parser
self.ip6_ext_frag: Ip6ExtFragParser
self.icmp4: Icmp4Parser
self.icmp6: Icmp6Parser
self.tcp: TcpParser
self.udp: UdpParser
def __init__(
self,
sha: MacAddress,
spa: Ip4Address,
tpa: Ip4Address,
tha: MacAddress = MacAddress(0),
oper: int = ARP_OP_REQUEST,
echo_tracker: Optional[Tracker] = None,
) -> None:
"""Class constructor"""
self._tracker = Tracker("TX", echo_tracker)
self._hrtype: int = 1
self._prtype: int = 0x0800
self._hrlen: int = 6
self._prlen: int = 4
self._oper: int = oper
self._sha: MacAddress = sha
self._spa: Ip4Address = spa
self._tha: MacAddress = tha
self._tpa: Ip4Address = tpa
def __init__(
self,
next: int,
offset: int,
flag_mf: bool,
id: int,
data: bytes,
):
"""Class constructor"""
assert next in {
IP6_NEXT_HEADER_ICMP6, IP6_NEXT_HEADER_UDP, IP6_NEXT_HEADER_TCP
}
self._tracker: Tracker = Tracker("TX")
self._next: int = next
self._offset: int = offset
self._flag_mf: bool = flag_mf
self._id: int = id
self._dataa: bytes = data
self._dlen: int = len(data)
self._plen: int = len(self)
def __init__(
self,
type: int,
code: int = 0,
ec_id: Optional[int] = None,
ec_seq: Optional[int] = None,
ec_data: Optional[bytes] = None,
un_data: Optional[bytes] = None,
echo_tracker: Optional[Tracker] = None,
) -> None:
"""Class constructor"""
assert type in {
ICMP4_ECHO_REQUEST, ICMP4_UNREACHABLE, ICMP4_ECHO_REPLY
}
self._tracker: Tracker = Tracker("TX", echo_tracker)
self._type: int = type
self._code: int = code
self._ec_id: int
self._ec_seq: int
self._ec_data: bytes
self._un_data: bytes
if self._type == ICMP4_ECHO_REPLY:
self._ec_id = 0 if ec_id is None else ec_id
self._ec_seq = 0 if ec_seq is None else ec_seq
self._ec_data = b"" if ec_data is None else ec_data
elif self._type == ICMP4_UNREACHABLE and self._code == ICMP4_UNREACHABLE__PORT:
self._un_data = b"" if un_data is None else un_data[:520]
elif self._type == ICMP4_ECHO_REQUEST:
self._ec_id = 0 if ec_id is None else ec_id
self._ec_seq = 0 if ec_id is None else ec_id
self._ec_data = b"" if ec_data is None else ec_data
def process(self, interface, pkt, args):
"""Process packets coming from the sniffer."""
try:
tgtMac, rtrmac, tgtIp, svrip, tgtPort, svrport, acknum, seqnum, request, TSVal, TSecr = self.proc_handler(
pkt, args)
exists = 0
for tgt in self.newTgts:
if tgt.ip is not None and tgt.ip == tgtIp:
exists = 1
for tgt in self.newTgts:
if tgt.ip is not None:
if tgt.ip == tgtIp:
self.injector.inject(tgtMac, rtrmac, tgtIp,
svrip, tgtPort, svrport,
acknum, seqnum,
tgt.get_injection(),
TSVal, TSecr)
if exists == 0:
self.newTgts.append(
Tracker(ip=tgtIp, mac=tgtMac, tParams=self.tParams))
except:
return
def get_the_skeleton_data_to_save_to_disk(mulperson_skltn):
skels_to_save = []
for human_id in mulperson_skltn.keys():
label = mulperson_label[human_id]
skeleton = mulperson_skltn[human_id]
skels_to_save.append([[human_id, label] + skeleton.tolist()])
return skels_to_save
if __name__ == "__main__":
skeleton_detector = SkeletonDetector(model, img_size)
multiperson_tracker = Tracker()
multiperson_classifier = MultiPersonClassifier(model_path, CLASSES)
images_loader = select_images_loader(data_type, data_path)
img_displayer = lib_images_io.ImageDisplayer()
os.makedirs(folder, exist_ok=True)
os.makedirs(folder + skltn_folder_name, exist_ok=True)
video_writer = lib_images_io.VideoWriter(folder + video_name, video_fps)
try:
ith_img = -1
while images_loader.has_image():
def __init__(
self,
type: int,
code: int = 0,
un_data: Optional[bytes] = None,
ec_id: Optional[int] = None,
ec_seq: Optional[int] = None,
ec_data: Optional[bytes] = None,
ra_hop: Optional[int] = None,
ra_flag_m: Optional[bool] = None,
ra_flag_o: Optional[bool] = None,
ra_router_lifetime: Optional[int] = None,
ra_reachable_time: Optional[int] = None,
ra_retrans_timer: Optional[int] = None,
ns_target_address: Optional[Ip6Address] = None,
na_flag_r: Optional[bool] = None,
na_flag_s: Optional[bool] = None,
na_flag_o: Optional[bool] = None,
na_target_address: Optional[Ip6Address] = None,
nd_options: Optional[list[Icmp6NdOptSLLA | Icmp6NdOptTLLA
| Icmp6NdOptPI]] = None,
mlr2_multicast_address_record: Optional[
list[Icmp6MulticastAddressRecord]] = None,
echo_tracker: Optional[Tracker] = None,
) -> None:
"""Class constructor"""
self._tracker = Tracker("TX", echo_tracker)
self._type = type
self._code = code
self._nd_options: list[
Icmp6NdOptSLLA | Icmp6NdOptTLLA
| Icmp6NdOptPI] = [] if nd_options is None else nd_options
self._un_reserved: int
self._un_data: bytes
self._ec_id: int
self._ec_seq: int
self._ec_data: bytes
self._rs_reserved: int
self._ra_hop: int
self._ra_flag_m: bool
self._ra_flag_o: bool
self._ra_router_lifetime: int
self._ra_reachable_time: int
self._ra_retrans_timer: int
self._ns_reserved: int
self._ns_target_address: Ip6Address
self._na_flag_r: bool
self._na_flag_s: bool
self._na_flag_o: bool
self._na_reserved: int
self._na_target_address: Ip6Address
self._mlr2_reserved: int
self._mlr2_multicast_address_record: list[Icmp6MulticastAddressRecord]
self._mlr2_number_of_multicast_address_records: int
if self._type == ICMP6_UNREACHABLE:
self._un_reserved = 0
self._un_data = b"" if un_data is None else un_data[:520]
elif self._type == ICMP6_ECHO_REQUEST:
self._ec_id = 0 if ec_id is None else ec_id
self._ec_seq = 0 if ec_seq is None else ec_seq
self._ec_data = b"" if ec_data is None else ec_data
elif self._type == ICMP6_ECHO_REPLY:
self._ec_id = 0 if ec_id is None else ec_id
self._ec_seq = 0 if ec_seq is None else ec_seq
self._ec_data = b"" if ec_data is None else ec_data
elif self._type == ICMP6_ROUTER_SOLICITATION:
self._rs_reserved = 0
elif self._type == ICMP6_ROUTER_ADVERTISEMENT:
self._ra_hop = 0 if ra_hop is None else ra_hop
self._ra_flag_m = False if ra_flag_m is None else ra_flag_m
self._ra_flag_o = False if ra_flag_o is None else ra_flag_o
self._ra_router_lifetime = 0 if ra_router_lifetime is None else ra_router_lifetime
self._ra_reachable_time = 0 if ra_reachable_time is None else ra_reachable_time
self._ra_retrans_timer = 0 if ra_retrans_timer is None else ra_retrans_timer
elif self._type == ICMP6_NEIGHBOR_SOLICITATION:
self._ns_reserved = 0
self._ns_target_address = Ip6Address(
0) if ns_target_address is None else ns_target_address
elif self._type == ICMP6_NEIGHBOR_ADVERTISEMENT:
self._na_flag_r = False if na_flag_r is None else na_flag_r
self._na_flag_s = False if na_flag_s is None else na_flag_s
self._na_flag_o = False if na_flag_o is None else na_flag_o
self._na_reserved = 0
self._na_target_address = Ip6Address(
0) if na_target_address is None else na_target_address
elif self._type == ICMP6_MLD2_REPORT:
self._mlr2_reserved = 0
self._mlr2_multicast_address_record = [] if mlr2_multicast_address_record is None else mlr2_multicast_address_record
self._mlr2_number_of_multicast_address_records = len(
self._mlr2_multicast_address_record)
class ObjectDetection(QMainWindow):
def __init__(self, *args, **kwargs):
super(ObjectDetection, self).__init__(*args, **kwargs)
self.DATA_FILE='data/DATA.bin'
self.CONFIG_FILE='data/CONFIG.json'
self.running=True
self.opened_settings=False
self.crowd_list={}
self.alarm_time=1 # 1 second
self.alarm_list=set()
self.alarm_on=False
self.t1=time.time()
self.t2=time.time()
self.t3=time.time()
# Load records
if os.path.exists(self.DATA_FILE):
f = open(self.DATA_FILE, "rb")
if True:
self.DATA = pickle.load(f)
if self.DATA!={}:
last=datetime.datetime.utcfromtimestamp(list(self.DATA.keys())[-1])
now=datetime.datetime.now()
tmp=[now.year,now.month,now.day,now.hour]
tmp2=[last.year,last.month,last.day,last.hour]
new=last
while tmp2!=tmp:
new= new + datetime.timedelta(seconds = 3600)
tmp2=[new.year,new.month,new.day,new.hour]
timestamp=new.timestamp()
timestamp=round(timestamp,6)
self.DATA[timestamp]={"NM":[],"M":[]}
else:
self.DATA={}
f.close()
else:
self.DATA={}
# Load settings
with open(self.CONFIG_FILE) as json_file:
self.CONFIGS = json.load(json_file)
# Import settings from configuration file
self.maxAbsences=self.CONFIGS["maxAbsences"]
self.categories =self.CONFIGS["categories"]
self.colors =[tuple(x) for x in self.CONFIGS["colors"]]
self.min_scores=self.CONFIGS["min_score"]
self.border_pxl=self.CONFIGS["border"]
self.models_path=self.CONFIGS["models_path"]
self.models=os.listdir(self.models_path)
self.models=['.'.join(x.split('.')[:-1]) for x in self.models]
self.default_model=self.CONFIGS["default_model"]
self.min_score=self.min_scores[self.default_model]
self.path_to_ckpt = self.models_path+'\\'+self.default_model+'.pb'
self.show_scores=bool(self.CONFIGS["show_scores"])
self.show_IDs=bool(self.CONFIGS["show_IDs"])
# Load counts from temp directory
self.tmppath = 'C:\\Users\\{}\\AppData\\Local\\Temp'.format(os.getlogin()) + '\\COVIDEO_cnts.txt'
if os.path.exists(self.tmppath):
with open(self.tmppath, 'r') as file:
data = file.readline().split(',')
self.cntMTot = int(data[0])
self.cntVTot = int(data[1])
else:
with open(self.tmppath, 'w+') as file:
self.cntMTot=0
self.cntVTot=0
file.write('%d,%d' %(self.cntMTot, self.cntVTot))
# Init an istance of a tracker for each class
self.masked_tracker=Tracker(maxAbsences=self.maxAbsences, startID=(self.cntMTot+1))
self.unmasked_tracker=Tracker(maxAbsences=self.maxAbsences, startID=(self.cntVTot+1))
self.font = cv2.FONT_HERSHEY_SIMPLEX
self.setWindowTitle('COVIDEO v3')
self.setWindowIcon(QIcon('img\\Icon.jpg'))
self.setGeometry(100, 100, 1280, 720)
self.setStyleSheet("background-color:white")
self.setMinimumWidth(1280)
self.setMaximumWidth(1280)
self.setMaximumHeight(720)
self.setMinimumHeight(720)
self.pic = QLabel(self)
self.pic.setGeometry(0, 0, 1280, 720)
self.logo = QLabel(self)
self.logo.setGeometry(0, 690, 180, 30)
self.logo.setStyleSheet("background-color:transparent;")
self.logo.setPixmap(QPixmap('img\\logo_white.png'))
self.logo.setScaledContents(True)
self.textCM = QPushButton(self)
self.textCM.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[1])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textCM.setText('Current Number of People '+self.categories[1]+': 0')
self.textCM.setGeometry(1030, 5, 250, 15)
self.textCV = QPushButton(self)
self.textCV.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[0])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textCV.setText('Current Number of People '+self.categories[0]+': 0')
self.textCV.setGeometry(1030, 22.5, 250, 15)
self.textTM = QPushButton(self)
self.textTM.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[1])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textTM.setText('Total Number of People '+self.categories[1]+': 0')
self.textTM.setGeometry(1030, 40, 250, 15)
self.textTV = QPushButton(self)
self.textTV.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[0])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textTV.setText('Total Number of People '+self.categories[0]+': 0')
self.textTV.setGeometry(1030, 57.5, 250, 15)
self.b1 = QPushButton(self)
self.b1.setStyleSheet("QPushButton{background-color:black; color:red; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:hover{background-color:red; color:black; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:pressed{background-color:black; color:red; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}")
self.b1.clicked.connect(self.reset_cnts)
self.b1.setText('Reset Totals')
self.b1.setGeometry(1175, 685, 100, 30)
self.b2 = QPushButton(self)
self.b2.setStyleSheet("QPushButton{background-color:black; color:white; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:hover{background-color:white; color:black; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:pressed{background-color:black; color:white; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}")
self.b2.clicked.connect(self.change_settings)
self.b2.setText('Settings')
self.b2.setGeometry(1175, 650, 100, 30)
self.b3 = QPushButton(self)
self.b3.setStyleSheet("QPushButton{background-color:black; color:green; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:hover{background-color:green; color:black; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:pressed{background-color:black; color:green; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}")
self.b3.clicked.connect(self.export)
self.b3.setText('Export')
self.b3.setGeometry(1175, 615, 100, 30)
#Load categories
self.category_index={1: {'id': 1, 'name': self.categories[0]}, 2: {'id': 2, 'name': self.categories[1]}}
# Run main functions
self.load_model()
self.define_io_tensors()
self.video_setting()
self.show()
self.start()
def closeEvent(self, event):
# close app
close = QMessageBox.question(self,"QUIT","Are you sure you want to stop the process?",QMessageBox.Yes | QMessageBox.No)
if close == QMessageBox.Yes:
self.save_data()
self.video.release()
cv2.destroyAllWindows()
event.accept()
else:
event.ignore()
def reset_cnts(self):
# Reset data
self.running=False
ans = QMessageBox.question(self,"RESET","Are you sure you want to reset the total counts?",QMessageBox.Yes | QMessageBox.No)
if ans == QMessageBox.Yes:
self.masked_tracker.reset()
self.unmasked_tracker.reset()
self.cntMTot=0
self.cntVTot=0
f=open(self.DATA_FILE, 'wb')
f.close()
self.DATA={}
else:
pass
self.running=True
self.start()
def selectionchange(self):
selected=self.comboBox.currentText()
self.minscoreEdit.setText(str(self.min_scores[selected]*100))
def change_settings(self):
# Graphical interface for settings
self.win = QWidget()
self.win.setWindowIcon(QIcon('img\\Icon.jpg'))
self.maxabsLabel = QLabel("Maximum number of absences:")
self.maxabsEdit = QLineEdit()
self.maxabsEdit.setText(str(self.maxAbsences))
self.minscoreLabel = QLabel("Minimum score (%):")
self.minscoreEdit = QLineEdit()
self.minscoreEdit.setText(str(self.min_score*100))
self.borderLabel = QLabel("Pixels of border:")
self.borderEdit = QLineEdit()
self.borderEdit.setText(str(self.border_pxl))
self.modelLabel = QLabel("Model:")
self.comboBox = QComboBox()
self.comboBox.addItems(self.models)
self.comboBox.setCurrentIndex(self.models.index(self.default_model))
self.comboBox.currentIndexChanged.connect(self.selectionchange)
self.colorLabe0 = QLabel(self.categories[0]+" color:")
self.color0_button = QPushButton()
self.color0_button.clicked.connect(lambda: self.get_color(0))
self.color0_button.setStyleSheet("background-color:rgb"+str(self.colors[0]))
self.colorLabel1 = QLabel(self.categories[1]+" color:")
self.color1_button = QPushButton()
self.color1_button.clicked.connect(lambda: self.get_color(1))
self.color1_button.setStyleSheet("background-color:rgb"+str(self.colors[1]))
self.checkbox1 = QCheckBox("Show scores")
self.checkbox1.setChecked(self.show_scores)
self.checkbox2 = QCheckBox("Show IDs")
self.checkbox2.setChecked(self.show_IDs)
self.ok = QPushButton()
self.ok.setText('Save')
self.ok.clicked.connect(self.restart)
self.Label1 = QLabel("- OBJECT DETECTION:")
self.Label1.setStyleSheet("font-weight: bold")
self.Label2 = QLabel("- TRACKING:")
self.Label2.setStyleSheet("font-weight: bold")
self.Label3 = QLabel("- DESIGN:")
self.Label3.setStyleSheet("font-weight: bold")
self.Label4 = QLabel("")
# Put the widgets in a layout (now they start to appear):
self.layout = QGridLayout()
self.layout.addWidget(self.Label1, 0, 0)
self.layout.addWidget(self.minscoreLabel, 1, 0)
self.layout.addWidget(self.minscoreEdit, 1, 1)
self.layout.addWidget(self.modelLabel, 2, 0)
self.layout.addWidget(self.comboBox, 2, 1)
self.layout.addWidget(self.Label2, 3, 0)
self.layout.addWidget(self.maxabsLabel, 4, 0)
self.layout.addWidget(self.maxabsEdit, 4, 1)
self.layout.addWidget(self.borderLabel, 5, 0)
self.layout.addWidget(self.borderEdit, 5, 1)
self.layout.addWidget(self.Label3, 6, 0)
self.layout.addWidget(self.colorLabe0, 7, 0)
self.layout.addWidget(self.color0_button, 7, 1)
self.layout.addWidget(self.colorLabel1, 8, 0)
self.layout.addWidget(self.color1_button, 8, 1)
self.layout.addWidget(self.checkbox1, 9, 0)
self.layout.addWidget(self.checkbox2, 9, 1)
self.layout.addWidget(self.Label4, 10, 0)
self.layout.addWidget(self.ok, 11, 1)
self.win.setLayout(self.layout)
self.win.setGeometry(100,100,300,300)
self.win.setWindowTitle("Settings")
self.tmp_colors=[deepcopy(x) for x in self.colors]
self.win.show()
def get_color(self,i):
self.tmp_colors[i] = QColorDialog.getColor().getRgb()
if i ==0:
self.color0_button.setStyleSheet("background-color:rgb"+str(self.tmp_colors[i]))
else:
self.color1_button.setStyleSheet("background-color:rgb"+str(self.tmp_colors[i]))
def restart(self):
self.running=False
try:
tmp=int(self.maxabsEdit.text())
if tmp>=0:
self.maxAbsences=tmp
self.masked_tracker.maxAbsences=self.maxAbsences
self.unmasked_tracker.maxAbsences=self.maxAbsences
except:
self.maxabsEdit.setText(str(self.maxAbsences))
try:
tmp=float(self.minscoreEdit.text())
if tmp>=0 and tmp<=100:
self.min_score=tmp/100
except:
self.minscoreEdit.setText(str(self.min_score*100))
try:
tmp=int(self.borderEdit.text())
if tmp>=0:
self.border_pxl=tmp
except:
self.maxabsEdit.setText(str(self.border_pxl))
self.border_pxl=int(self.borderEdit.text())
self.colors=[tuple(list(x)[:3]) for x in self.tmp_colors]
self.textCM.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[1])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textCV.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[0])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textTM.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[1])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textTV.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[0])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
if self.checkbox1.isChecked():
self.show_scores=True
else:
self.show_scores=False
if self.checkbox2.isChecked():
self.show_IDs=True
else:
self.show_IDs=False
if self.default_model!=self.comboBox.currentText():
self.default_model=self.comboBox.currentText()
self.path_to_ckpt = self.models_path+'\\'+self.default_model+'.pb'
self.load_model()
self.define_io_tensors()
self.running=True
self.start()
def is_valid_filename(self,filename):
invalid=['\\', '/', ':', '*', '?', '"', '<', '>', '|']
for i in invalid:
if i in filename:
return False
return True
def export(self):
# Generate and export statistics
date=datetime.datetime.now()
name = QFileDialog.getSaveFileName(self, 'Save File', str(date.strftime("%Y-%m-%d_%H-%M-%S")), "XLSX (*.xlsx)")
if name[0]=='' or self.DATA=={}:
pass
elif self.is_valid_filename(name[0].split('/')[-1]):
export_records(name[0], self.DATA)
else:
self.export()
def load_model(self):
# Load the Tensorflow model into memory.
self.detection_graph = tf.Graph()
with self.detection_graph.as_default():
od_graph_def = tf.compat.v1.GraphDef()
with tf.io.gfile.GFile(self.path_to_ckpt, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
self.sess = tf.compat.v1.Session(graph=self.detection_graph)
def define_io_tensors(self):
# Define input and output tensors (i.e. data) for the object detection classifier
# Input tensor is the image
self.image_tensor = self.detection_graph.get_tensor_by_name('image_tensor:0')
# Output tensors are the detection boxes, scores, and classes
# Each box represents a part of the image where a particular object was detected
self.detection_boxes = self.detection_graph.get_tensor_by_name('detection_boxes:0')
# Each score represents level of confidence for each of the objects.
# The score is shown on the result image, together with the class label.
self.detection_scores = self.detection_graph.get_tensor_by_name('detection_scores:0')
self.detection_classes = self.detection_graph.get_tensor_by_name('detection_classes:0')
# Number of objects detected
self.num_detections = self.detection_graph.get_tensor_by_name('num_detections:0')
def video_setting(self):
# Initialize webcam feed
self.video = cv2.VideoCapture(0,cv2.CAP_DSHOW)
self.ret = self.video.set(3, 1280)
self.ret = self.video.set(4, 720)
def save_data(self):
# Save data
f=open(self.DATA_FILE, 'wb')
pickle.dump(self.DATA,f)
f.close()
with open(self.tmppath, 'w+') as f:
f.write('%d,%d' %(self.cntMTot, self.cntVTot))
def start(self):
time.sleep(2)
while(self.running):
try:
# Acquire frame and expand frame dimensions to have shape: [1, None, None, 3]
# i.e. a single-column array, where each item in the column has the pixel RGB value
ret, frame = self.video.read()
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
frame_expanded = np.expand_dims(frame_rgb, axis=0)
# Perform the actual detection by running the model with the image as input
(boxes, scores, classes, num) = self.sess.run(
[self.detection_boxes, self.detection_scores, self.detection_classes, self.num_detections],
feed_dict={self.image_tensor: frame_expanded})
faces=[]
labels=[]
for i,score in enumerate(scores[0]):
if score>self.min_score:
ymin=int(boxes[0][i][0]*frame.shape[0])
xmin=int(boxes[0][i][1]*frame.shape[1])
ymax=int(boxes[0][i][2]*frame.shape[0])
xmax=int(boxes[0][i][3]*frame.shape[1])
lab=self.categories[int(classes[0][i])-1]
faces.append([xmin,xmax,ymin,ymax])
labels.append(lab)
ind=int(classes[0][i])-1
# Draw the results of the detection
cv2.rectangle(frame, (xmin, ymin), (xmax, ymax),tuple((list(self.colors[ind])[:3])[::-1]), 2)
if self.show_scores:
text=lab+': '+str(int(score*100))+'%'
font_scale = (xmax-xmin)/frame.shape[1]*3
(text_width, text_height) = cv2.getTextSize(text, self.font, fontScale=font_scale, thickness=2)[0]
text_offset_x = xmin
text_offset_y = ymin
box_coords = ((text_offset_x, text_offset_y), (text_offset_x + text_width + 2, text_offset_y - text_height - 2))
cv2.rectangle(frame, box_coords[0], box_coords[1], tuple((list(self.colors[ind])[:3])[::-1]), cv2.FILLED)
cv2.putText(frame, text, (text_offset_x, text_offset_y), self.font, fontScale=font_scale, color=(0, 0, 0), thickness=2,lineType=2)
# Get the list of all masked faces
masked_faces=[faces[i] for i, x in enumerate(labels) if x == self.categories[1]]
# Get the list of all not masked faces
unmasked_faces=[faces[i] for i, x in enumerate(labels) if x == self.categories[0]]
# Tracking
masked_people=self.masked_tracker.refresh(masked_faces,[frame.shape[0],frame.shape[1]],border=self.border_pxl)
unmasked_people=self.unmasked_tracker.refresh(unmasked_faces,[frame.shape[0],frame.shape[1]],border=self.border_pxl)
# Check proximity between people
result=proximity_detector(masked_people, unmasked_people)
# if near people are detected, results are reported and sound and graphical alarms are activated
for r in result:
if r in list(self.crowd_list.keys()):
if (time.time()-self.crowd_list[r])>self.alarm_time:
self.alarm_list.add(r)
else:
self.crowd_list[r]=time.time()
tmp=deepcopy(self.crowd_list)
for k in list(tmp.keys()):
if k not in result:
del self.crowd_list[k]
if k in self.alarm_list:
self.alarm_list.remove(k)
# run sound alarm
if len(self.alarm_list)>0 and not self.alarm_on:
thread1 = threading.Thread(target = self.alarm)
thread1.start()
# loop over the tracked masked people
for (objectID, box) in masked_people.items():
# draw both the ID of the object and the centroid of the
# object on the output frame
if self.show_IDs:
xmin,xmax,ymin,ymax=box
text = "M{}".format(objectID)
font_scale = (xmax-xmin)/frame.shape[1]*3
(text_width, text_height) = cv2.getTextSize(text, self.font, fontScale=font_scale, thickness=2)[0]
text_offset_x = xmin
text_offset_y = ymax
box_coords = ((text_offset_x, text_offset_y), (text_offset_x + text_width + 2, text_offset_y - text_height - 2))
cv2.rectangle(frame, box_coords[0], box_coords[1], tuple((list(self.colors[1])[:3])[::-1]), cv2.FILLED)
cv2.putText(frame, text, (text_offset_x, text_offset_y), self.font, fontScale=font_scale, color=(0, 0, 0), thickness=2,lineType=2)
# if people are too near, a red rectangle is drawn
for alarm in self.alarm_list:
if alarm[0]==text or alarm[1]==text:
cv2.rectangle(frame, (xmin,ymin), (xmax,ymax), (0,0,255), thickness = 5)
#update total number of masked
if objectID>self.cntMTot:
self.cntMTot=objectID
# loop over the tracked unmasked people
for (objectID, box) in unmasked_people.items():
# draw both the ID of the object and the centroid of the
# object on the output frame
if self.show_IDs:
xmin,xmax,ymin,ymax=box
text = "NM{}".format(objectID)
font_scale = (xmax-xmin)/frame.shape[1]*3
(text_width, text_height) = cv2.getTextSize(text, self.font, fontScale=font_scale, thickness=2)[0]
text_offset_x = xmin
text_offset_y = ymax
box_coords = ((text_offset_x, text_offset_y), (text_offset_x + text_width + 2, text_offset_y - text_height - 2))
cv2.rectangle(frame, box_coords[0], box_coords[1], tuple((list(self.colors[0])[:3])[::-1]), cv2.FILLED)
cv2.putText(frame, text, (text_offset_x, text_offset_y), self.font, fontScale=font_scale, color=(0, 0, 0), thickness=2,lineType=2)
# if people are too near, a red rectangle is drawn
for alarm in self.alarm_list:
if alarm[0]==text or alarm[1]==text:
cv2.rectangle(frame, (xmin,ymin), (xmax,ymax), (0,0,255), thickness = 5)
# update total number of unmasked
if objectID>self.cntVTot:
self.cntVTot=objectID
# Update graphical statistics
self.cntM = labels.count('With Mask')
self.cntV = labels.count('Without Mask')
self.textCM.setText('Current Number of People '+self.categories[1]+': %d' %self.cntM)
self.textCV.setText('Current Number of People '+self.categories[0]+': %d' %self.cntV)
self.textTM.setText('Total Number of People '+self.categories[1]+': %d' %self.cntMTot)
self.textTV.setText('Total Number of People '+self.categories[0]+': %d' %self.cntVTot)
self.timestamp=time.time()
# Save samples each second
if self.timestamp-self.t1>1:
self.DATA[round(self.timestamp,6)]={"NM":list(unmasked_people.keys()),"M":list(masked_people.keys())}
self.t1=self.timestamp
# Write data to file every 60 seconds
if self.timestamp-self.t2>60:
self.save_data()
self.t2=self.timestamp
if not self.isVisible():
exit()
# All the results have been drawn on the frame, so it's time to display it.
height, width, channel = frame.shape
bytesPerLine = 3 * width
self.qImg = QImage(frame.data, width, height, bytesPerLine, QImage.Format_RGB888).rgbSwapped()
self.pic.setPixmap(QPixmap(self.qImg))
if cv2.waitKey(1) == ord('q'):
break
except:
with open(self.tmppath, 'w+') as file:
file.write('%d,%d' %(self.cntMTot, self.cntVTot))
exit()
def alarm(self):
self.alarm_on=True
playsound('data/beep.mp3')
self.alarm_on=False
class TorrentClient:
"""
The torrent client is the local peer that holds peer-to-peer
connections to download and upload pieces for a given torrent.
Once started, the client makes periodic announce calls to the tracker
registered in the torrent meta-data. These calls results in a list of
peers that should be tried in order to exchange pieces.
Each received peer is kept in a queue that a pool of PeerConnection
objects consume. There is a fix number of PeerConnections that can have
a connection open to a peer. Since we are not creating expensive threads
(or worse yet processes) we can create them all at once and they will
be waiting until there is a peer to consume in the queue.
"""
def __init__(self, torrent):
self.tracker = Tracker(torrent)
# The list of potential peers is the work queue, consumed by the
# PeerConnections
self.available_peers = Queue()
# The list of peers is the list of workers that *might* be connected
# to a peer. Else they are waiting to consume new remote peers from
# the `available_peers` queue. These are our workers!
self.peers = []
# The piece manager implements the strategy on which pieces to
# request, as well as the logic to persist received pieces to disk.
self.piece_manager = PieceManager(torrent)
self.abort = False
async def start(self):
"""
Start downloading the torrent held by this client.
This results in connecting to the tracker to retrieve the list of
peers to communicate with. Once the torrent is fully downloaded or
if the download is aborted this method will complete.
"""
self.peers = [
PeerConnection(self.available_peers,
self.tracker.torrent.info_hash,
self.tracker.peer_id, self.piece_manager,
self._on_block_retrieved)
for _ in range(MAX_PEER_CONNECTIONS)
]
# The time we last made an announce call (timestamp)
previous = None
# Default interval between announce calls (in seconds)
interval = 30 * 60
while True:
if self.piece_manager.complete:
logging.info('Torrent fully downloaded!')
break
if self.abort:
logging.info('Aborting download...')
break
current = time.time()
if (not previous) or (previous + interval < current):
response = await self.tracker.connect(
first=previous if previous else False,
uploaded=self.piece_manager.bytes_uploaded,
downloaded=self.piece_manager.bytes_downloaded)
if response:
previous = current
interval = response.interval
self._empty_queue()
for peer in response.peers:
self.available_peers.put_nowait(peer)
else:
await asyncio.sleep(5)
self.stop()
def _empty_queue(self):
while not self.available_peers.empty():
self.available_peers.get_nowait()
def stop(self):
"""
Stop the download or seeding process.
"""
self.abort = True
for peer in self.peers:
peer.stop()
self.piece_manager.close()
self.tracker.close()
def _on_block_retrieved(self, peer_id, piece_index, block_offset, data):
"""
Callback function called by the `PeerConnection` when a block is
retrieved from a peer.
:param peer_id: The id of thelf.available_peerse peer the block was retrieved from
:param piece_index: The piece index this block is a part of
:param block_offset: The block offset within its piece
:param data: The binary data retrieved
"""
self.piece_manager.block_received(peer_id=peer_id,
piece_index=piece_index,
block_offset=block_offset,
data=data)
def __init__(self, *args, **kwargs):
super(ObjectDetection, self).__init__(*args, **kwargs)
self.DATA_FILE='data/DATA.bin'
self.CONFIG_FILE='data/CONFIG.json'
self.running=True
self.opened_settings=False
self.crowd_list={}
self.alarm_time=1 # 1 second
self.alarm_list=set()
self.alarm_on=False
self.t1=time.time()
self.t2=time.time()
self.t3=time.time()
# Load records
if os.path.exists(self.DATA_FILE):
f = open(self.DATA_FILE, "rb")
if True:
self.DATA = pickle.load(f)
if self.DATA!={}:
last=datetime.datetime.utcfromtimestamp(list(self.DATA.keys())[-1])
now=datetime.datetime.now()
tmp=[now.year,now.month,now.day,now.hour]
tmp2=[last.year,last.month,last.day,last.hour]
new=last
while tmp2!=tmp:
new= new + datetime.timedelta(seconds = 3600)
tmp2=[new.year,new.month,new.day,new.hour]
timestamp=new.timestamp()
timestamp=round(timestamp,6)
self.DATA[timestamp]={"NM":[],"M":[]}
else:
self.DATA={}
f.close()
else:
self.DATA={}
# Load settings
with open(self.CONFIG_FILE) as json_file:
self.CONFIGS = json.load(json_file)
# Import settings from configuration file
self.maxAbsences=self.CONFIGS["maxAbsences"]
self.categories =self.CONFIGS["categories"]
self.colors =[tuple(x) for x in self.CONFIGS["colors"]]
self.min_scores=self.CONFIGS["min_score"]
self.border_pxl=self.CONFIGS["border"]
self.models_path=self.CONFIGS["models_path"]
self.models=os.listdir(self.models_path)
self.models=['.'.join(x.split('.')[:-1]) for x in self.models]
self.default_model=self.CONFIGS["default_model"]
self.min_score=self.min_scores[self.default_model]
self.path_to_ckpt = self.models_path+'\\'+self.default_model+'.pb'
self.show_scores=bool(self.CONFIGS["show_scores"])
self.show_IDs=bool(self.CONFIGS["show_IDs"])
# Load counts from temp directory
self.tmppath = 'C:\\Users\\{}\\AppData\\Local\\Temp'.format(os.getlogin()) + '\\COVIDEO_cnts.txt'
if os.path.exists(self.tmppath):
with open(self.tmppath, 'r') as file:
data = file.readline().split(',')
self.cntMTot = int(data[0])
self.cntVTot = int(data[1])
else:
with open(self.tmppath, 'w+') as file:
self.cntMTot=0
self.cntVTot=0
file.write('%d,%d' %(self.cntMTot, self.cntVTot))
# Init an istance of a tracker for each class
self.masked_tracker=Tracker(maxAbsences=self.maxAbsences, startID=(self.cntMTot+1))
self.unmasked_tracker=Tracker(maxAbsences=self.maxAbsences, startID=(self.cntVTot+1))
self.font = cv2.FONT_HERSHEY_SIMPLEX
self.setWindowTitle('COVIDEO v3')
self.setWindowIcon(QIcon('img\\Icon.jpg'))
self.setGeometry(100, 100, 1280, 720)
self.setStyleSheet("background-color:white")
self.setMinimumWidth(1280)
self.setMaximumWidth(1280)
self.setMaximumHeight(720)
self.setMinimumHeight(720)
self.pic = QLabel(self)
self.pic.setGeometry(0, 0, 1280, 720)
self.logo = QLabel(self)
self.logo.setGeometry(0, 690, 180, 30)
self.logo.setStyleSheet("background-color:transparent;")
self.logo.setPixmap(QPixmap('img\\logo_white.png'))
self.logo.setScaledContents(True)
self.textCM = QPushButton(self)
self.textCM.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[1])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textCM.setText('Current Number of People '+self.categories[1]+': 0')
self.textCM.setGeometry(1030, 5, 250, 15)
self.textCV = QPushButton(self)
self.textCV.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[0])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textCV.setText('Current Number of People '+self.categories[0]+': 0')
self.textCV.setGeometry(1030, 22.5, 250, 15)
self.textTM = QPushButton(self)
self.textTM.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[1])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textTM.setText('Total Number of People '+self.categories[1]+': 0')
self.textTM.setGeometry(1030, 40, 250, 15)
self.textTV = QPushButton(self)
self.textTV.setStyleSheet("background-color:black; color:"+('#%02x%02x%02x' % self.colors[0])+"; font:bold; border-style:outset;\
border-width:1px; border-radius:5px")
self.textTV.setText('Total Number of People '+self.categories[0]+': 0')
self.textTV.setGeometry(1030, 57.5, 250, 15)
self.b1 = QPushButton(self)
self.b1.setStyleSheet("QPushButton{background-color:black; color:red; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:hover{background-color:red; color:black; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:pressed{background-color:black; color:red; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}")
self.b1.clicked.connect(self.reset_cnts)
self.b1.setText('Reset Totals')
self.b1.setGeometry(1175, 685, 100, 30)
self.b2 = QPushButton(self)
self.b2.setStyleSheet("QPushButton{background-color:black; color:white; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:hover{background-color:white; color:black; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:pressed{background-color:black; color:white; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}")
self.b2.clicked.connect(self.change_settings)
self.b2.setText('Settings')
self.b2.setGeometry(1175, 650, 100, 30)
self.b3 = QPushButton(self)
self.b3.setStyleSheet("QPushButton{background-color:black; color:green; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:hover{background-color:green; color:black; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}"\
"QPushButton:pressed{background-color:black; color:green; font:bold; border-style:outset;\
border-width:2px; border-radius:10px}")
self.b3.clicked.connect(self.export)
self.b3.setText('Export')
self.b3.setGeometry(1175, 615, 100, 30)
#Load categories
self.category_index={1: {'id': 1, 'name': self.categories[0]}, 2: {'id': 2, 'name': self.categories[1]}}
# Run main functions
self.load_model()
self.define_io_tensors()
self.video_setting()
self.show()
self.start()
def main():
# get filename from the command line argument
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('-f', '--file',
required=True,
dest = 'file',
type = argparse.FileType('r'))
args = parser.parse_args()
filename = os.path.abspath(args.file.name)
# get torrent file data
torrentfile = TorrentFile(filename)
url = torrentfile.get_tracker_request_url()
downloading_file = os.path.abspath('../related_assets/downloads/%s' % torrentfile.filename)
file = open(downloading_file, 'wb')
# client_handshake
client_handshake = HandShake()
client_handshake.set_default_values(torrentfile.info_hash)
# tracker
tracker = Tracker(url, str(client_handshake))
tracker.send_request()
# add peers to the tracker peers collection
peers_list = tracker.get_peers_list()
tracker.add_peers(peers_list)
"""
TODO -- remove the lines below
"""
peer = tracker.get_peer_by_ip_port('96.126.104.219', 65373)
peer.connection.open()
peer.connection.send_data(str(client_handshake))
# create peer handshake instance
peer_handshake_string = peer.connection.recv_data()
peer_handshake = HandShake()
peer_handshake.set_handshake_data_from_string(peer_handshake_string)
data = peer.connection.recv_data()
peer.append_to_buffer(data)
peer.consume_messages()
msg = peer.get_interested_message()
peer.connection.send_data(msg)
data = peer.connection.recv_data()
peer.append_to_buffer(data)
peer.consume_messages()
requested_length = int(math.pow(2,14))
for i in range(0, 78):
msg = peer.get_request_piece_message(i, 0, requested_length)
peer.connection.send_data(msg)
data = peer.connection.recv_data()
data_length = peer.get_4_byte_to_decimal(data[0:4])
# keep receiving data until you have the entire block
while len(data) < data_length + 4:
data += peer.connection.recv_data()
peer.append_to_buffer(data)
peer.consume_messages()
# get last piece (which is smaller than the rest)
msg = peer.get_request_piece_message(78, 0, 35)
peer.connection.send_data(msg)
data = peer.connection.recv_data()
data_length = peer.get_4_byte_to_decimal(data[0:4])
# keep receiving data until you have the entire block
while len(data) < data_length + 4:
data += peer.connection.recv_data()
peer.append_to_buffer(data)
peer.consume_messages()
