Loading autocnet/graph/network.py +8 −8 Original line number Diff line number Diff line Loading @@ -25,14 +25,14 @@ class Edge(object): The source node destination : hashable The destination node masks : list masks : set A list of the available masking arrays """ def __init__(self, source, destination): self.source = source self.destination = destination self._masks = [] self._masks = set() self._mask_arrays = {} self._homography = None self._subpixel_offsets = None Loading @@ -43,7 +43,7 @@ class Edge(object): @masks.setter def masks(self, v): self._masks.append(v[0]) self._masks.add(v[0]) self._mask_arrays[v[0]] = v[1] @property Loading Loading @@ -210,14 +210,14 @@ class Node(object): The number of keypoints found for this image descriptors : ndarray 32-bit array of feature descriptors returned by OpenCV masks : list masks : set A list of the available masking arrays """ def __init__(self, image_name, image_path): self.image_name = image_name self.image_path = image_path self._masks = [] self._masks = set() self._mask_arrays = {} @property Loading @@ -243,7 +243,7 @@ class Node(object): @masks.setter def masks(self, v): self._masks.append(v[0]) self._masks.add(v[0]) self._mask_arrays[v[0]] = v[1] def get_array(self, band=1): Loading Loading @@ -539,8 +539,8 @@ class CandidateGraph(nx.Graph): A list where each entry is a string containing the full path to an image in the graph. """ filelist = [] for node in self.nodes_iter(data=True): filelist.append(node[1]['image_path']) for i, node in self.nodes_iter(data=True): filelist.append(node.image_path) return filelist def to_cnet(self, clean_keys=[]): Loading Loading
autocnet/graph/network.py +8 −8 Original line number Diff line number Diff line Loading @@ -25,14 +25,14 @@ class Edge(object): The source node destination : hashable The destination node masks : list masks : set A list of the available masking arrays """ def __init__(self, source, destination): self.source = source self.destination = destination self._masks = [] self._masks = set() self._mask_arrays = {} self._homography = None self._subpixel_offsets = None Loading @@ -43,7 +43,7 @@ class Edge(object): @masks.setter def masks(self, v): self._masks.append(v[0]) self._masks.add(v[0]) self._mask_arrays[v[0]] = v[1] @property Loading Loading @@ -210,14 +210,14 @@ class Node(object): The number of keypoints found for this image descriptors : ndarray 32-bit array of feature descriptors returned by OpenCV masks : list masks : set A list of the available masking arrays """ def __init__(self, image_name, image_path): self.image_name = image_name self.image_path = image_path self._masks = [] self._masks = set() self._mask_arrays = {} @property Loading @@ -243,7 +243,7 @@ class Node(object): @masks.setter def masks(self, v): self._masks.append(v[0]) self._masks.add(v[0]) self._mask_arrays[v[0]] = v[1] def get_array(self, band=1): Loading Loading @@ -539,8 +539,8 @@ class CandidateGraph(nx.Graph): A list where each entry is a string containing the full path to an image in the graph. """ filelist = [] for node in self.nodes_iter(data=True): filelist.append(node[1]['image_path']) for i, node in self.nodes_iter(data=True): filelist.append(node.image_path) return filelist def to_cnet(self, clean_keys=[]): Loading