def modpath_to_url(modpath):
if modpath[0] in ("http", "https", "ftp", "s3"):
if len(modpath) == 1:
return modpath[0] + ":"
elif len(modpath) == 2:
return modpath[0] + ":" + modpath[1]
else:
return modpath[0] + ":" + modpath[1] + "/" + "/".join(
[urllib.quote(part) for part in modpath[2:]])
path = os.path.join(*modpath)
return loadimages.pathname2url(path)
def modpath_to_url(modpath):
if modpath[0] in ("http", "https", "ftp", "s3"):
if len(modpath) == 1:
return modpath[0] + ":"
elif len(modpath) == 2:
return modpath[0] + ":" + modpath[1]
else:
return modpath[0] + ":" + modpath[1] + "/" + "/".join(
[urllib.quote(part) for part in modpath[2:]])
path = os.path.join(*modpath)
return loadimages.pathname2url(path)
def prepare_run(self, workspace):
m = workspace.measurements
assert isinstance(m, cpmeas.Measurements)
root = self.get_base_directory(workspace)
if m.image_set_count == 0:
# Oh bad - using LoadSingleImage to load one image and process it
image_numbers = [1]
else:
image_numbers = m.get_image_numbers()
for image_number in image_numbers:
dict = self.get_file_names(workspace,
image_set_number=image_number)
for image_name in dict.keys():
file_settings = self.get_file_settings(image_name)
if file_settings.image_objects_choice == IO_IMAGES:
#
# Add measurements
#
path_name_category = C_PATH_NAME
file_name_category = C_FILE_NAME
url_category = C_URL
else:
#
# Add measurements
#
path_name_category = C_OBJECTS_PATH_NAME
file_name_category = C_OBJECTS_FILE_NAME
url_category = C_OBJECTS_URL
url = pathname2url(os.path.join(root, dict[image_name]))
for category, value in ((path_name_category, root),
(file_name_category, dict[image_name]),
(url_category, url)):
measurement_name = "_".join((category, image_name))
m.add_measurement(cpmeas.IMAGE,
measurement_name,
value,
image_set_number=image_number)
return True
def prepare_run(self, workspace):
m = workspace.measurements
assert isinstance(m, cpmeas.Measurements)
root = self.get_base_directory(workspace)
if m.image_set_count == 0:
# Oh bad - using LoadSingleImage to load one image and process it
image_numbers = [1]
else:
image_numbers = m.get_image_numbers()
for image_number in image_numbers:
dict = self.get_file_names(workspace, image_set_number=image_number)
for image_name in dict.keys():
file_settings = self.get_file_settings(image_name)
if file_settings.image_objects_choice == IO_IMAGES:
#
# Add measurements
#
path_name_category = C_PATH_NAME
file_name_category = C_FILE_NAME
url_category = C_URL
else:
#
# Add measurements
#
path_name_category = C_OBJECTS_PATH_NAME
file_name_category = C_OBJECTS_FILE_NAME
url_category = C_OBJECTS_URL
url = pathname2url(os.path.join(root, dict[image_name]))
for category, value in (
(path_name_category, root),
(file_name_category, dict[image_name]),
(url_category, url)):
measurement_name = "_".join((category, image_name))
m.add_measurement(cpmeas.IMAGE, measurement_name, value,
image_set_number = image_number)
return True