def get_response_content(fs):
# read the matrix
C = fs.contrast_matrix
# read the ordered labels
ordered_labels = Util.get_stripped_lines(fs.labels.splitlines())
# validate the input
if len(C) != len(ordered_labels):
msg_a = 'the number of rows in the contrast matrix '
msg_b = 'should match the number of labels'
raise HandlingError(msg_a + msg_b)
# reconstruct the tree
reconstructed_tree = Contrasts.contrast_matrix_to_tree(C, ordered_labels)
# return the reponse
return NewickIO.get_newick_string(reconstructed_tree) + '\n'
def get_response_content(fs):
# read the matrix
C = fs.contrast_matrix
# read the ordered labels
ordered_labels = Util.get_stripped_lines(fs.labels.splitlines())
# validate the input
if len(C) != len(ordered_labels):
msg_a = 'the number of rows in the contrast matrix '
msg_b = 'should match the number of labels'
raise HandlingError(msg_a + msg_b)
# reconstruct the tree
reconstructed_tree = Contrasts.contrast_matrix_to_tree(C, ordered_labels)
# return the reponse
return NewickIO.get_newick_string(reconstructed_tree) + '\n'
def get_form():
"""
@return: the body of a form
"""
tree = NewickIO.parse(
Contrasts.g_felsenstein_tree_string, FelTree.NewickTree)
ordered_labels = ('a', 'b', 'c', 'd', 'e')
C = Contrasts.get_contrast_matrix(tree, ordered_labels)
# define the form objects
form_objects = [
Form.Matrix('contrast_matrix', 'contrast matrix',
C, Contrasts.assert_contrast_matrix),
Form.MultiLine('labels', 'ordered labels',
'\n'.join(ordered_labels))]
return form_objects
def get_form():
"""
@return: the body of a form
"""
tree = NewickIO.parse(Contrasts.g_felsenstein_tree_string,
FelTree.NewickTree)
ordered_labels = ('a', 'b', 'c', 'd', 'e')
C = Contrasts.get_contrast_matrix(tree, ordered_labels)
# define the form objects
form_objects = [
Form.Matrix('contrast_matrix', 'contrast matrix', C,
Contrasts.assert_contrast_matrix),
Form.MultiLine('labels', 'ordered labels', '\n'.join(ordered_labels))
]
return form_objects
def get_response_content(fs):
# get the tree
tree = NewickIO.parse(fs.tree, FelTree.NewickTree)
# read the ordered labels
ordered_labels = Util.get_stripped_lines(fs.labels.splitlines())
# validate the input
observed_label_set = set(node.get_name() for node in tree.gen_tips())
if set(ordered_labels) != observed_label_set:
msg = 'the labels should match the labels of the leaves of the tree'
raise HandlingError(msg)
# get the matrix of pairwise distances among the tips
C = Contrasts.get_contrast_matrix(tree, ordered_labels)
# set elements with small absolute value to zero
C[abs(C) < fs.epsilon] = 0
# return the reponse
if fs.plain_format:
return MatrixUtil.m_to_string(C) + '\n'
elif fs.matlab_format:
return MatrixUtil.m_to_matlab_string(C) + '\n'
elif fs.r_format:
return MatrixUtil.m_to_R_string(C) + '\n'
import Contrasts
import HSVcounts
root_train = 'E:/ImageDataset_AVA/train/'
root_test = 'E:/ImageDataset_AVA/test/'
paths_train, counts_train = getPath.getPath(root_train)
paths_test, counts_test = getPath.getPath(root_test)
root_trainhigh = 'E:/ImageDataset_AVA/train/train_high'
root_trainlow = 'E:/ImageDataset_AVA/train/train_low'
root_testhigh = 'E:/ImageDataset_AVA/test/test_high'
root_testlow = 'E:/ImageDataset_AVA/test/test_low'
paths_trainhigh, counts_trainhigh = getPath.getPath(root_trainhigh)
paths_trainlow, counts_trainlow = getPath.getPath(root_trainlow)
paths_testhigh, counts_testhigh = getPath.getPath(root_testhigh)
paths_testlow, counts_testlow = getPath.getPath(root_testlow)
layoutComposition.layout(paths_trainhigh, paths_testhigh, paths_trainlow,
paths_testlow, paths_train, paths_test)
edgeComposition.EC(paths_trainhigh, paths_testhigh, paths_trainlow,
paths_testlow, paths_train, paths_test)
GT_layout.GT_layout(paths_train, paths_test)
GT_edge.GT_edge(paths_train, paths_test)
blur.blur(paths_train, paths_test)
dark.dark(paths_train, paths_test)
Contrasts.contrast(paths_train, paths_test)
HSVcounts.hsvcounts(paths_train, paths_test)
#colorPalette.colorPalette(paths_train,paths_test)
