def run_create_webpage(self, image_paths, thumb_paths=None,
metadata=None, alter_fn=None):
'''Run the create_webpage module, returning the resulting HTML document
image_paths - list of path / filename tuples. The function will
write an image to each of these and put images and
measurements into the workspace for each.
thumb_paths - if present a list of path / filename tuples. Same as above
metadata - a dictionary of feature / string values
alter_fn - function taking a CreateWebPage module, for you to
alter the module's settings
'''
np.random.seed(0)
module = C.CreateWebPage()
module.module_num = 1
module.orig_image_name.value = IMAGE_NAME
module.web_page_file_name.value = DEFAULT_HTML_FILE
if alter_fn is not None:
alter_fn(module)
pipeline = cpp.Pipeline()
def callback(caller, event):
self.assertFalse(isinstance(event, cpp.RunExceptionEvent))
pipeline.add_listener(callback)
pipeline.add_module(module)
images = [(IMAGE_NAME, image_paths)]
if thumb_paths:
images += [(THUMB_NAME, thumb_paths)]
self.assertEqual(len(image_paths), len(thumb_paths))
module.wants_thumbnails.value = True
module.thumbnail_image_name.value = THUMB_NAME
else:
module.wants_thumbnails.value = False
measurements = cpmeas.Measurements()
workspace = cpw.Workspace(pipeline, module,
measurements, None, measurements,
None, None)
for i in range(len(image_paths)):
image_number = i + 1
if metadata is not None:
for key in metadata.keys():
values = metadata[key]
feature = cpmeas.C_METADATA + "_" + key
measurements[cpmeas.IMAGE, feature, image_number] = values[i]
for image_name, paths in images:
pixel_data = np.random.uniform(size=(10, 13))
path_name, file_name = paths[i]
if path_name is None:
path_name = cpprefs.get_default_image_directory()
is_file = True
elif path_name.lower().startswith("http"):
is_file = False
url = path_name + "/" + file_name
if "?" in file_name:
file_name = file_name.split("?", 1)[0]
if is_file:
full_path = os.path.abspath(os.path.join(
self.directory, path_name, file_name))
url = pathname2url(full_path)
path = os.path.split(full_path)[0]
else:
full_path = url
path = path_name
if is_file:
write_image(full_path, pixel_data, PT_UINT8)
path_feature = '_'.join((C_PATH_NAME, image_name))
file_feature = '_'.join((C_FILE_NAME, image_name))
url_feature = '_'.join((C_URL, image_name))
measurements[cpmeas.IMAGE, path_feature, image_number] = \
path
measurements[cpmeas.IMAGE, file_feature, image_number] = \
file_name
measurements[cpmeas.IMAGE, url_feature, image_number] = url
module.post_run(workspace)
return measurements
def run_create_webpage(self,
image_paths,
thumb_paths=None,
metadata=None,
alter_fn=None):
'''Run the create_webpage module, returning the resulting HTML document
image_paths - list of path / filename tuples. The function will
write an image to each of these and put images and
measurements into the workspace for each.
thumb_paths - if present a list of path / filename tuples. Same as above
metadata - a dictionary of feature / string values
alter_fn - function taking a CreateWebPage module, for you to
alter the module's settings
'''
np.random.seed(0)
module = C.CreateWebPage()
module.module_num = 1
module.orig_image_name.value = IMAGE_NAME
module.web_page_file_name.value = DEFAULT_HTML_FILE
if alter_fn is not None:
alter_fn(module)
pipeline = cpp.Pipeline()
def callback(caller, event):
self.assertFalse(isinstance(event, cpp.RunExceptionEvent))
pipeline.add_listener(callback)
pipeline.add_module(module)
images = [(IMAGE_NAME, image_paths)]
if thumb_paths:
images += [(THUMB_NAME, thumb_paths)]
self.assertEqual(len(image_paths), len(thumb_paths))
module.wants_thumbnails.value = True
module.thumbnail_image_name.value = THUMB_NAME
else:
module.wants_thumbnails.value = False
measurements = cpmeas.Measurements()
image_set_list = cpi.ImageSetList()
workspace = cpw.Workspace(pipeline, module, None, None, measurements,
image_set_list, None)
self.assertTrue(module.prepare_run(workspace))
module.prepare_group(workspace, {}, np.arange(1, len(image_paths) + 1))
for i in range(len(image_paths)):
image_set = image_set_list.get_image_set(i)
if metadata is not None:
for key in metadata.keys():
values = metadata[key]
feature = cpmeas.C_METADATA + "_" + key
measurements.add_image_measurement(feature, values[i])
for image_name, paths in images:
pixel_data = np.random.uniform(size=(10, 13))
img = cpi.Image(pixel_data)
image_set.add(image_name, img)
path_name, file_name = paths[i]
if path_name is None:
path_name = cpprefs.get_default_image_directory()
full_path = os.path.abspath(
os.path.join(self.directory, path_name, file_name))
imsave(full_path, pixel_data)
path_feature = '_'.join((C_PATH_NAME, image_name))
file_feature = '_'.join((C_FILE_NAME, image_name))
measurements.add_image_measurement(path_feature,
os.path.split(full_path)[0])
measurements.add_image_measurement(file_feature, file_name)
workspace = cpw.Workspace(pipeline, module, image_set,
cpo.ObjectSet(), measurements,
image_set_list)
module.run(workspace)
if i < len(image_paths) - 1:
measurements.next_image_set()
module.post_group(workspace, {})
module.post_run(workspace)