''' Miscellaneous functions to be better organized. '''
procgraph_info = {
'requires': [('json', ('simplejson', ))] # TODO: add cjson?
}
from procgraph import import_magic
json = import_magic(__name__, 'json')
from . import json_misc
from . import to_file
from . import pickling
'''
Blocks using Matplotlib to display data.
'''
procgraph_info = {'requires': ['matplotlib', 'matplotlib.pylab']}
# Smart dependencies initialization
from procgraph import import_magic, import_succesful
matplotlib = import_magic(__name__, 'matplotlib')
if import_succesful(matplotlib):
if matplotlib.get_backend() != 'agg':
matplotlib.use('agg')
pylab = import_magic(__name__, 'matplotlib.pylab')
from .pylab_to_image import pylab2rgb
from .plot_anim import PlotAnim
from .plot import *
from .plot_generic import *
# TODO: plot should fail for no inputs
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
# List of python packages
'requires': [
# try to add this
# 'unexistent',
('pickle', ('cPickle', 'pickle')),
],
# List of external software needed
'requires_executables': ['git'],
# The following are more advanced, and used only for generating
# rich cross-referenced documentation.
'sphinx_base_url':
'http://andreacensi.github.com/procgraph/',
'scm_base_url':
'https://github.com/AndreaCensi/procgraph/blob/master/',
}
from procgraph import import_magic
# If pickle is installed, it will be a reference to it, otherwise a
# shadow object which will throw when you actually try to use it.
pickle = import_magic(__name__, 'pickle')
# procgraph will let you import unexistent modules
# unexistent = import_magic(__name__, 'unexistent')
# now, import the modules that defines the blocks
from . import example0_simplest_block
''' YAML conversions. '''
procgraph_info = {
'requires': ['yaml']
}
from procgraph import import_magic
yaml = import_magic(__name__, 'yaml')
from .yaml2object import *
from .object2yaml import *
'''
This is a set of blocks to read and display AER_ data.
.. _AER: http://sourceforge.net/apps/trac/jaer/wiki
'''
from procgraph import import_succesful, import_magic
procgraph_info = {
# List of python packages
'requires': ['aer']
}
aer = import_magic(__name__, 'aer')
if import_succesful(aer):
from .aer_raw_stream import *
from .aer_events_hist import *
# load models
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
# List of python packages
'requires': [
# try to add this
# 'unexistent',
('pickle', ('cPickle', 'pickle')),
],
# List of external software needed
'requires_executables': ['git'],
# The following are more advanced, and used only for generating
# rich cross-referenced documentation.
'sphinx_base_url': 'http://andreacensi.github.com/procgraph/',
'scm_base_url': 'https://github.com/AndreaCensi/procgraph/blob/master/',
}
from procgraph import import_magic
# If pickle is installed, it will be a reference to it, otherwise a
# shadow object which will throw when you actually try to use it.
pickle = import_magic(__name__, 'pickle')
# procgraph will let you import unexistent modules
# unexistent = import_magic(__name__, 'unexistent')
# now, import the modules that defines the blocks
from . import example0_simplest_block
''' YAML conversions. '''
procgraph_info = {'requires': ['yaml']}
from procgraph import import_magic
yaml = import_magic(__name__, 'yaml')
from .yaml2object import *
from .object2yaml import *
'''
This is a set of blocks to read and write logs in ROS_ Bag format.
You need the `rospy` package to be installed.
.. _pytables: http://pytables.org
.. _ROS: http://www.ros.org
'''
procgraph_info = {
# List of python packages
'requires': ['ros', 'rosbag_utils']
}
# Smart dependency importing
from procgraph import import_magic, import_succesful
rosbag = import_magic(__name__, 'ros', 'rosbag')
rosbag_utils = import_magic(__name__, 'rosbag_utils')
if import_succesful(rosbag_utils):
from .bagread import BagRead
from .bagwrite import BagWrite
from .conversions import *
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
'''
This is a set of blocks to read and write logs in HDF_ format.
You need the pytables_ package to be installed.
.. _pytables: http://pytables.org
.. _HDF: http://en.wikipedia.org/wiki/Hierarchical_Data_Format
'''
from procgraph import import_succesful, import_magic
procgraph_info = {
# List of python packages
'requires': ['tables', 'hdflog']
}
tables = import_magic(__name__, 'tables')
hdflogs = import_magic(__name__, 'hdflog')
if import_succesful(hdflogs):
from .hdfwrite import *
from .hdfread import *
from .hdfread_many import *
else:
from procgraph import logger
# logger.warning('Could not import hdflogs')
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
'''
This is a set of blocks to read and display AER_ data.
.. _AER: http://sourceforge.net/apps/trac/jaer/wiki
'''
from procgraph import import_succesful, import_magic
procgraph_info = {
# List of python packages
'requires': ['aer']
}
aer = import_magic(__name__, 'aer')
if import_succesful(aer):
from .aer_raw_stream import *
from .aer_events_hist import *
# load models
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
'''
Some functions specific to robotics applications.
Requires: http://github.com/AndreaCensi/geometry
'''
procgraph_info = {
# List of python packages
'requires': ['geometry']
}
# Smart dependency resolution
from procgraph import import_magic, import_succesful
geometry = import_magic(__name__, 'geometry')
if import_succesful(geometry):
from . import pose2velocity
from . import laser_display
from . import laser_dot_display
from . import organic_scale
from . import misc
from . import pose2velocity_b
'''
Blocks using the OpenCV library.
'''
procgraph_info = {
# List of python packages
'requires': [('cv2', ('cv2', )), 'numpy']
}
from procgraph import import_magic, import_successful
cv = import_magic(__name__, 'cv2', 'cv')
# if not import_successful(cv):
# cv = import_magic(__name__, 'cv2')
np = import_magic(__name__, 'numpy')
from .opencv_utils import *
from .cv_capture import *
from .cv_display import *
from .detection import *
if not import_successful(cv):
if False:
from procgraph import logger
logger.warn('Could not import CV')
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
''' Blocks for image operations based on the PIL library '''
procgraph_info = {'requires': ['PIL']}
# Smart dependencies initialization
from procgraph import import_magic, import_succesful
Image = import_magic(__name__, 'PIL.Image')
ImageFont = import_magic(__name__, 'PIL.ImageFont')
ImageDraw = import_magic(__name__, 'PIL.ImageDraw')
from .pil_operations import *
from .pil_conversions import *
from .text import *
from .imread_imp import *
from .imwrite_imp import *
''' Blocks for image operations based on the PIL library '''
procgraph_info = {
'requires': ['PIL']
}
# Smart dependencies initialization
from procgraph import import_magic, import_succesful
Image = import_magic(__name__, 'PIL.Image')
ImageFont = import_magic(__name__, 'PIL.ImageFont')
ImageDraw = import_magic(__name__, 'PIL.ImageDraw')
from .pil_operations import *
from .pil_conversions import *
from .text import *
from .imread_imp import *
from .imwrite_imp import *
**Example**
Convert a RGB image to grayscale, and back to a RGB image:::
|input| -> |rgb2gray| -> |gray2rgb| -> |output|
'''
from procgraph import import_magic, import_successful
procgraph_info = {
'requires': ['numpy'],
}
np = import_magic(__name__, 'numpy')
from .filters import *
from .compose import *
from .imggrid import *
from .images_from_dir import *
from .posterize import *
from .border import *
from .pad import *
from .blend import *
from .copied_from_reprep import *
from .reshape_smart import *
from .solid_imp import *
from .crop import *
'''
Blocks for common statistical operations.
'''
from procgraph import import_magic
procgraph_info = {
# List of python packages
'requires': ['astatsa', 'numpy']
}
np = import_magic(__name__, 'numpy')
from . import expectation
from . import variance
from . import covariance
from . import cov2corr
from . import minimum
from . import covariance2
'''
Blocks using the OpenCV library.
'''
procgraph_info = {
# List of python packages
'requires': [('cv2', ('cv2',)), 'numpy']
}
from procgraph import import_magic, import_successful
cv = import_magic(__name__, 'cv2', 'cv')
# if not import_successful(cv):
# cv = import_magic(__name__, 'cv2')
np = import_magic(__name__, 'numpy')
from .opencv_utils import *
from .cv_capture import *
from .cv_display import *
from .detection import *
if not import_successful(cv):
if False:
from procgraph import logger
logger.warn('Could not import CV')
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
"""
Blocks using Matplotlib to display data.
"""
procgraph_info = {"requires": ["matplotlib", "matplotlib.pylab"]}
# Smart dependencies initialization
from procgraph import import_magic, import_succesful
matplotlib = import_magic(__name__, "matplotlib")
if import_succesful(matplotlib):
if matplotlib.get_backend() != "agg":
matplotlib.use("agg")
pylab = import_magic(__name__, "matplotlib.pylab")
from .pylab_to_image import pylab2rgb
from .plot_anim import PlotAnim
from .plot import *
from .plot_generic import *
# TODO: plot should fail for no inputs
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
""" Miscellaneous functions to be better organized. """
procgraph_info = {"requires": [("json", ("simplejson",))]} # TODO: add cjson?
from procgraph import import_magic
json = import_magic(__name__, "json")
from . import json_misc
from . import to_file
from . import pickling
'''
This is a set of blocks to read and write logs in HDF_ format.
You need the pytables_ package to be installed.
.. _pytables: http://pytables.org
.. _HDF: http://en.wikipedia.org/wiki/Hierarchical_Data_Format
'''
from procgraph import import_succesful, import_magic
procgraph_info = {
# List of python packages
'requires': ['tables', 'hdflog']
}
tables = import_magic(__name__, 'tables')
hdflogs = import_magic(__name__, 'hdflog')
if import_succesful(hdflogs):
from .hdfwrite import *
from .hdfread import *
from .hdfread_many import *
else:
from procgraph import logger
# logger.warning('Could not import hdflogs')
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
"""
Blocks using the OpenCV library.
"""
procgraph_info = {
# List of python packages
"requires": [("cv2", ("cv2",))]
}
from procgraph import import_magic, import_succesful
cv = import_magic(__name__, "cv2", "cv")
from .opencv_utils import *
from .cv_capture import *
from .cv_display import *
if not import_succesful(cv):
from procgraph import logger
logger.warn("Could not import CV")
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
'''
Blocks using the OpenCV library.
'''
procgraph_info = {
# List of python packages
'requires': [('cv2', ('cv2',))]
}
from procgraph import import_magic, import_succesful
cv = import_magic(__name__, 'cv2', 'cv')
from .opencv_utils import *
from .cv_capture import *
from .cv_display import *
if not import_succesful(cv):
if False:
from procgraph import logger
logger.warn('Could not import CV')
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
You need the `rospy` package to be installed.
.. _pytables: http://pytables.org
.. _ROS: http://www.ros.org
'''
procgraph_info = {
# List of python packages
'requires': ['ros', 'rosbag_utils']
}
# Smart dependency importing
from procgraph import import_magic, import_succesful, logger
rosbag = import_magic(__name__, 'ros', 'rosbag')
rosbag_utils = import_magic(__name__, 'rosbag_utils')
if import_succesful(rosbag_utils):
from .bagread import BagRead
from .bagwrite import BagWrite
from .conversions import *
else:
msg = 'Could not import rosbag_utils; install from [email protected]:AndreaCensi/ros_node_utils.git'
logger.error(msg)
from procgraph import pg_add_this_package_models
pg_add_this_package_models(__file__, __package__)
