def main():
t = telemetry.get_telemetry_by_args(service_in_iter=False,
iter_blocks=False)
t.start_thread()
magic_value = 1122
from dronin.uavo import UAVO_FirmwareIAPObj
t.request_object(UAVO_FirmwareIAPObj)
time.sleep(0.9)
for i in range(3):
print magic_value
f = UAVO_FirmwareIAPObj._make_to_send(Command=magic_value,
Description=(0, ) * 100,
CPUSerial=(0, ) * 12,
BoardRevision=0,
BoardType=0,
ArmReset=0,
crc=0)
magic_value += 1111
t.send_object(f)
time.sleep(0.9)
def main():
t = telemetry.get_telemetry_by_args(service_in_iter=False, iter_blocks=False)
t.start_thread()
magic_value=1122
from dronin.uavo import UAVO_FirmwareIAPObj
t.request_object(UAVO_FirmwareIAPObj)
time.sleep(0.9)
for i in range(3):
print magic_value
f=UAVO_FirmwareIAPObj._make_to_send(Command=magic_value,
Description=(0,)*100,
CPUSerial=(0,)*12,
BoardRevision=0,
BoardType=0,
ArmReset=0,
crc=0)
magic_value += 1111
t.send_object(f)
time.sleep(0.9)
def main():
uavo_list = telemetry.get_telemetry_by_args()
# Start the log viwer app
from PyQt4 import QtGui
from logviewer.gui import Window
app = QtGui.QApplication(sys.argv)
main = Window()
main.show()
main.plot(uavo_list, uavo_list.uavo_defs)
sys.exit(app.exec_())
def main():
uavo_list = telemetry.get_telemetry_by_args()
# Start the log viwer app
from PyQt4 import QtGui
from logviewer.gui import Window
app = QtGui.QApplication(sys.argv)
main = Window()
main.show()
main.plot(uavo_list, uavo_list.uavo_defs)
sys.exit(app.exec_())
def main():
import sys, os
sys.path.insert(1, os.path.dirname(sys.path[0]))
from dronin import telemetry
uavo_list = telemetry.get_telemetry_by_args()
from dronin.uavo import UAVO_Magnetometer, UAVO_Gyros
print mag_calibration(uavo_list.as_numpy_array(UAVO_Magnetometer),
uavo_list.as_numpy_array(UAVO_Gyros))
# Wait for user to close window.
matplotlib.pyplot.show()
def main():
import sys, os
sys.path.insert(1, os.path.dirname(sys.path[0]))
from dronin import telemetry
uavo_list = telemetry.get_telemetry_by_args()
from dronin.uavo import UAVO_PositionActual, UAVO_NEDPosition, UAVO_PathDesired
pa = uavo_list.as_numpy_array(UAVO_PositionActual)
ned = uavo_list.as_numpy_array(UAVO_NEDPosition)
pos_des = uavo_list.as_numpy_array(UAVO_PathDesired)
out = "position_overlay.mp4"
video_overlay(pa,ned,pos_des,out)
def main():
import sys, os
sys.path.insert(1, os.path.dirname(sys.path[0]))
from dronin import telemetry
uavo_list = telemetry.get_telemetry_by_args()
from dronin.uavo import UAVO_Magnetometer, UAVO_Gyros
print mag_calibration(uavo_list.as_numpy_array(UAVO_Magnetometer), uavo_list.as_numpy_array(UAVO_Gyros))
# Wait for user to close window.
matplotlib.pyplot.show()
def main():
tStream = telemetry.get_telemetry_by_args(service_in_iter=False)
tStream.start_thread()
settings_objects = tStream.uavo_defs.get_settings_objects()
pipeline = []
tStream.wait_connection()
# try to retrieve every object 3 times
# this is just intended for robustness; never seen this get an object
# on anything other than the first try.
for retry in range(3):
for s in settings_objects:
if tStream.last_values.get(s):
continue
tStream.request_object(s)
pipeline.append(s)
# Wait for outstanding requests to complete
# Ideally this would continue on a nak
for wait in range(20):
# Wait minimum 10ms per object
time.sleep(0.01)
if len(pipeline) < 3:
break
for p in pipeline[:]:
if tStream.last_values.get(p):
pipeline.remove(p)
else:
# We hit the end of the above retry loop
pipeline = []
missing = []
for s in settings_objects:
val = tStream.last_values.get(s)
if val is not None:
print val
else:
missing.append(s._name)
for s in missing:
print "No instance of %s" % (s)
def main():
tStream = telemetry.get_telemetry_by_args(service_in_iter=False)
tStream.start_thread()
settings_objects = tStream.uavo_defs.get_settings_objects()
# Need to actually control send rates and see when we're done.
for s in settings_objects:
tStream.request_object(s)
time.sleep(0.15)
time.sleep(2.5)
for s in settings_objects:
val = tStream.last_values.get(s)
if val is not None:
print val
else:
print "No instance of %s" % (s._name)
def main():
tStream = telemetry.get_telemetry_by_args(service_in_iter=False)
tStream.start_thread()
settings_objects = tStream.uavo_defs.get_settings_objects()
# Need to actually control send rates and see when we're done.
for s in settings_objects:
tStream.request_object(s)
time.sleep(0.15)
time.sleep(2.5)
for s in settings_objects:
val = tStream.last_values.get(s)
if val is not None:
print val
else:
print "No instance of %s" % (s._name)
def main():
uavo_list = telemetry.get_telemetry_by_args()
# retrieve the time from the first object.. also guarantees we can parse
base_time = next(iter(uavo_list)).time
# Build a new module that will make up the global namespace for the
# interactive shell. This allows us to restrict what the ipython shell sees.
import imp
user_module = imp.new_module('dronin_env')
user_module.__dict__.update({
'operator': __import__('operator'),
'base_time': base_time,
})
# Build the "user" (ie. local) namespace that the interactive shell
# will see. These variables show up in the output of "%whos" in the shell.
user_ns = {
'base_time': base_time,
'log_file': uavo_list.filename,
'githash': uavo_list.githash,
'uavo_defs': uavo_list.uavo_defs,
'uavo_list': uavo_list,
}
# Extend the shell environment to include all of the uavo.UAVO_* classes that were
# auto-created when the uavo xml files were processed.
uavo_classes = [(t[0], t[1]) for t in uavo.__dict__.iteritems()
if 'UAVO_' in t[0]]
user_module.__dict__.update(uavo_classes)
# Instantiate an ipython shell to interact with the log data.
import IPython
from IPython.frontend.terminal.embed import InteractiveShellEmbed
e = InteractiveShellEmbed(user_ns=user_ns, user_module=user_module)
e.enable_pylab(import_all=True)
e("Analyzing log file: %s" % uavo_list.filename)
def main():
uavo_list = telemetry.get_telemetry_by_args()
# retrieve the time from the first object.. also guarantees we can parse
base_time = next(iter(uavo_list)).time
# Build a new module that will make up the global namespace for the
# interactive shell. This allows us to restrict what the ipython shell sees.
import imp
user_module = imp.new_module('dronin_env')
user_module.__dict__.update({
'operator' : __import__('operator'),
'base_time' : base_time,
})
# Build the "user" (ie. local) namespace that the interactive shell
# will see. These variables show up in the output of "%whos" in the shell.
user_ns = {
'base_time' : base_time,
'log_file' : uavo_list.filename,
'githash' : uavo_list.githash,
'uavo_defs' : uavo_list.uavo_defs,
'uavo_list' : uavo_list,
}
# Extend the shell environment to include all of the uavo.UAVO_* classes that were
# auto-created when the uavo xml files were processed.
uavo_classes = [(t[0], t[1]) for t in uavo.__dict__.iteritems() if 'UAVO_' in t[0]]
user_module.__dict__.update(uavo_classes)
# Instantiate an ipython shell to interact with the log data.
import IPython
from IPython.frontend.terminal.embed import InteractiveShellEmbed
e = InteractiveShellEmbed(user_ns = user_ns, user_module = user_module)
e.enable_pylab(import_all = True)
e("Analyzing log file: %s" % uavo_list.filename)
#!/usr/bin/env python
if __name__ == "__main__":
from dronin import telemetry
uavo_list = telemetry.get_telemetry_by_args()
for o in uavo_list:
print o
#!/usr/bin/python
if __name__ == "__main__":
from dronin import telemetry
uavo_list = telemetry.get_telemetry_by_args()
for o in uavo_list: print o
