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import os
import shutil
import numpy as np
import struct
import pickle
from scipy.sparse import coo_matrix
def load_flow(filename):
# Flow is stored row-wise in order [channels, height, width].
assert os.path.isfile(filename), "File not found: {}".format(filename)
flow = None
with open(filename, 'rb') as fin:
width = struct.unpack('I', fin.read(4))[0]
height = struct.unpack('I', fin.read(4))[0]
channels = struct.unpack('I', fin.read(4))[0]
n_elems = height * width * channels
flow = struct.unpack('f' * n_elems, fin.read(n_elems * 4))
flow = np.asarray(flow, dtype=np.float32).reshape([channels, height, width])
return flow
def load_graph_info(filename, max_edges, max_nodes):
assert os.path.isfile(filename), "File not found: {}".format(filename)
with open(filename, 'rb') as fin:
edge_total_size = struct.unpack('I', fin.read(4))[0]
edges = struct.unpack('I' * (int(edge_total_size / 4)), fin.read(edge_total_size))
edges = np.asarray(edges, dtype=np.int16).reshape(-1, 2).transpose()
nodes_total_size = struct.unpack('I', fin.read(4))[0]
nodes_ids = struct.unpack('I' * (int(nodes_total_size / 4)), fin.read(nodes_total_size))
nodes_ids = np.asarray(nodes_ids, dtype=np.int32).reshape(-1)
nodes_ids = np.sort(nodes_ids)
edges_extent = np.zeros((2, max_edges), dtype=np.int16)
edges_mask = np.zeros((max_edges), dtype=np.bool)
edges_mask[:edges.shape[1]] = 1
edges_extent[:, :edges.shape[1]] = edges
nodes_extent = np.zeros((max_nodes), dtype=np.int32)
nodes_mask = np.zeros((max_nodes), dtype=np.bool)
nodes_mask[:nodes_ids.shape[0]] = 1
nodes_extent[:nodes_ids.shape[0]] = nodes_ids
fx = struct.unpack('f', fin.read(4))[0]
fy = struct.unpack('f', fin.read(4))[0]
ox = struct.unpack('f', fin.read(4))[0]
oy = struct.unpack('f', fin.read(4))[0]
return edges_extent, edges_mask, nodes_extent, nodes_mask, fx, fy, ox, oy
def load_adja_id_info(filename, src_mask, H, W, num_adja, num_neigb):
assert os.path.isfile(filename), "File not found: {}".format(filename)
assert num_adja<=8, "Num of adja is larger than 8"
assert num_neigb<=8, "Num of neighb is larger than 8"
src_v_id = np.zeros((H*W, num_adja), dtype=np.int16)
src_neigb_id = np.zeros((H*W, num_neigb), dtype=np.int32)
with open(filename, 'rb') as fin:
neigb_id, value_id = pickle.load(fin)
assert((src_mask.sum())==value_id.shape[0])
for i in range(num_adja):
src_v_id[src_mask.reshape(-1), i] = value_id[:, i]
for i in range(num_neigb):
src_neigb_id[src_mask.reshape(-1), i] = neigb_id[:, i]
src_v_id = src_v_id.transpose().reshape(num_adja, H, W)
src_neigb_id = src_neigb_id.transpose().reshape(num_neigb, H, W)
return src_v_id, src_neigb_id
def save_flow(filename, flow_input):
flow = np.copy(flow_input)
# Flow is stored row-wise in order [channels, height, width].
assert len(flow.shape) == 3
with open(filename, 'wb') as fout:
fout.write(struct.pack('I', flow.shape[2]))
fout.write(struct.pack('I', flow.shape[1]))
fout.write(struct.pack('I', flow.shape[0]))
fout.write(struct.pack('={}f'.format(flow.size), *flow.flatten("C")))
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