def skip_if_no_contiki_devices():
motelist_output = subprocess.check_output(["../../agent_modules/contiki/communication_wrappers/bin/motelist", "-c"], universal_newlines=True).strip()
if motelist_output == "No devices found.":
# check if there are cooja devices!
try:
cooja_devs = subprocess.check_output("ls -1v /dev/cooja_rm090* 2>/dev/null", shell=True, universal_newlines=True).strip().split("\n")
if len(cooja_devs) > 0:
return True
except subprocess.CalledProcessError:
log.info("There are no sensor nodes attached to this machine, and there are no cooja devices, cannot start!!!")
return False
else:
try:
wilab_nodes_output = subprocess.check_output(["ls /dev/rm090"], universal_newlines=True).strip()
except FileNotFoundError:
wilab_nodes_output = ""
if "/dev/rm090" in wilab_nodes_output:
return True
else:
for line in motelist_output.split("\n"):
mote_description = line.split(",")[2]
if "Zolertia RE-Mote" in mote_description:
return True
elif "RM090" in mote_description:
return True
return False
def run(self):
self.mkpath(self.build_dir)
outfiles = []
for script in find_entry_points():
name, entrypt = script.split('=')
name = name.strip()
entrypt = entrypt.strip()
outfile = os.path.join(self.build_dir, name)
outfiles.append(outfile)
print('Writing script to', outfile)
mod, func = entrypt.split(':')
with open(outfile, 'w') as f:
f.write(script_src.format(executable=sys.executable,
mod=mod, func=func))
if sys.platform == 'win32':
# Write .cmd wrappers for Windows so 'ipython' etc. work at the
# command line
cmd_file = os.path.join(self.build_dir, name + '.cmd')
cmd = r'@"{python}" "%~dp0\{script}" %*\r\n'.format(
python=sys.executable, script=name)
log.info("Writing %s wrapper script" % cmd_file)
with open(cmd_file, 'w') as f:
f.write(cmd)
return outfiles, outfiles
def count():
try:
counter = Counter.query(Counter.name == 'hello').fetch()[0]
except IndexError:
log.info('New counter.')
counter = Counter(name='hello', count=0)
counter.count += 1
counter.put()
return
def run(cmd_str, fatal=True):
# this is not a good implement
log.command(log.term.cmd(cmd_str))
ret = os.system(cmd_str)
if ret is not 0:
if fatal:
log.error('[ERROR] run cmd: %s failed', cmd_str)
os._exit(1)
else:
log.info('[INFO] %s is not fatal' % cmd_str)
async def generate_schema() -> None:
log.info("Initializing Tortoise...")
await Tortoise.init(
db_url=os.environ.get("DATABASE_URL"),
modules={'models': ['models.tortoise']},
)
log.info("Generating database schema via Tortoise...")
await Tortoise.generate_schemas()
await Tortoise.close_connections()
def __test_tuning_plugin(self, name, load):
log.test("tuning plugin: %s" % name)
log.indent()
# initialization
log.test("initialization")
try:
exec "from %s.%s import _plugin" % (self.tp_dir, name)
except Exception as e:
log.result_e()
log.unindent()
return False
log.result()
# init()
log.test("call init()")
try:
_plugin.init(self.config)
except Exception as e:
log.result_e(e)
log.unindent()
return False
log.result()
# setTuning()
log.test("call setTuning()")
if load == None:
log.info("no data from monitor plugin available")
else:
try:
_plugin.setTuning(load)
except Exception as e:
log.result_e(e)
log.unindent()
return False
log.result()
# cleanup()
log.test("call cleanup()")
try:
_plugin.cleanup()
except Exception as e:
log.result_e(e)
log.unindent()
return False
log.result()
log.unindent()
return True
def split_fastq_file(in_fastq, prefix, num_threads, num_chunks):
out_fps = [open(p, 'w') for p in get_split_paths(prefix, num_chunks, gz=False)]
log.info('Splitting %s into %s chunks' % (in_fastq, num_chunks))
with io.open(in_fastq, 'r') as in_fp:
for i, four_lines in enumerate(iter_by4(in_fp)):
q, r = divmod(i, num_chunks)
map(out_fps[r].write, four_lines)
# if i+1 % 1000 == 0:
# log.info('Processed %s reads...' % (i + 1))
# break
for out_fp in out_fps:
out_fp.close()
def split_fastq_file(in_fastq, prefix, num_threads, num_chunks):
out_fps = [
open(p, 'w') for p in get_split_paths(prefix, num_chunks, gz=False)
]
log.info('Splitting %s into %s chunks' % (in_fastq, num_chunks))
with io.open(in_fastq, 'r') as in_fp:
for i, four_lines in enumerate(iter_by4(in_fp)):
q, r = divmod(i, num_chunks)
map(out_fps[r].write, four_lines)
# if i+1 % 1000 == 0:
# log.info('Processed %s reads...' % (i + 1))
# break
for out_fp in out_fps:
out_fp.close()
def __check_sibling_plugins(self, monitorplugins, tuningplugins):
ok = True
log.test("monitor and tuning plugins availability")
for mp in monitorplugins:
if tuningplugins.count(mp) != 1:
ok = False
log.info("monitor plugin '%s' misses tuning plugin" % mp)
for tp in tuningplugins:
if monitorplugins.count(tp) != 1:
ok = False
log.info("tuning plugin '%s' misses monitor plugin" % tp)
if ok:
log.result()
else:
log.result("monitor and tunning plugins do not match")
def same_trips(filename="same_trips.txt", N=30):
"""
Generate N random queries, for stops on the same trip
"""
oN = network.Network()
trips = oN.getTrips(N)
fromstops = []
tostops = []
for trip in trips:
oTrip = oN.getTrip(trip)
stops = [stoprec["stopid"] for seq, stoprec in oTrip.getStops()]
if len(stops) <= 1:
continue
stop1 = oTrip.getFirstStop()
stop2 = random.choice(stops)
while stop1 == stop2:
stop2 = random.choice(stops)
fromstops.append(stop1)
tostops.append(stop2)
log.info("trip: %s chose: (%s, %s)\n=====\n" % (str(oTrip), stop1, stop2))
return __write_to_csv(filename, fromstops, tostops)
def __check_profiles(self):
log.test("profiles listing")
profiles_tester = os.listdir(self.profiles_dir)
profiles_tester = filter(lambda f: f[0] != ".", profiles_tester)
try:
capture.clean()
capture.capture()
self.tuned_adm.run(["list"])
capture.stdout()
except Exception as e:
log.report_e(e)
return False
# printed profiles (first line "Modes:" is skipped)
profiles_tuned = capture.getcaptured().splitlines()[1:]
# compare profiles_tester and profiles_tuned
error = False
for p in profiles_tester:
if not p in profiles_tuned:
log.info("tune-adm does not report profile '%s'" % p)
error = True
for p in profiles_tuned:
if not p in profiles_tester:
log.info("tune-adm reports extra profile '%s'" % p)
error = True
if error:
log.result("profiles detected by this test differ from these reported by tuned-adm")
else:
log.result()
return True
def jpg_to_base64(path):
f = open(path, 'rb') # 二进制方式打开图文件
ls_f = base64.b64encode(f.read()) # 读取文件内容，转换为base64编码
f.close()
log.info(ls_f)
def run_app(args):
face_detection_model = Model_Face_Detection(args.model_path_fd,
args.device,
args.cpu_extension,
threshold=args.threshold)
face_detection_model.load_model()
head_pose_model = Model_Head_Pose_Estimation(args.model_path_hp,
args.device,
args.cpu_extension)
head_pose_model.load_model()
face_landmark_model = Model_Facial_Landmarks(args.model_path_fl,
args.device,
args.cpu_extension)
face_landmark_model.load_model()
gaze_model = Model_Gaze_Estimation(args.model_path_ge, args.device,
args.cpu_extension)
gaze_model.load_model()
input_feeder = InputFeeder(
args.input_type,
args.input_file,
)
input_feeder.load_data()
mouse_controller = MouseController("medium", "fast")
# while input_feeder.cap.isOpened():
# feed_out=input_feeder.next_batch()
frame_count = 0
custom = args.toggle
for frame in input_feeder.next_batch():
if frame is None:
break
key_pressed = cv2.waitKey(60)
frame_count += 1
face_out, cords = face_detection_model.predict(frame.copy())
# When no face was detected
if cords == 0:
inf_info = "No Face Detected in the Frame"
write_text_img(frame, inf_info, 400)
continue
eyes_cords, left_eye, right_eye = face_landmark_model.predict(
face_out.copy())
head_pose_out = head_pose_model.predict(face_out.copy())
gaze_out = gaze_model.predict(left_eye, right_eye, head_pose_out)
# Faliure in processing both eyes
if gaze_out is None:
continue
x, y = gaze_out
if frame_count % 5 == 0:
mouse_controller.move(x, y)
inf_info = "Head Pose (y: {:.2f}, p: {:.2f}, r: {:.2f})".format(
head_pose_out[0], head_pose_out[1], head_pose_out[2])
# Process Visualization
if 'frame' in custom:
visualization(frame, cords, face_out, eyes_cords)
if 'stats' in custom:
write_text_img(face_out, inf_info, 400)
inf_info = "Gaze Angle: x: {:.2f}, y: {:.2f}".format(x, y)
log.info("Statistic " + inf_info)
write_text_img(face_out, inf_info, 400, 15)
if 'gaze' in custom:
display_head_pose(frame, head_pose_out, cords)
out_f = np.hstack(
(cv2.resize(frame, (400, 400)), cv2.resize(face_out, (400, 400))))
cv2.imshow('Visualization', out_f)
if key_pressed == 27:
break
input_feeder.close()
cv2.destroyAllWindows()