def __init__(self, sequence=5):
self.scene = glob(PATH)
self.scene.sort()
self.sequence = sequence
self.list = []
self.list_coordinate = []
self.all_data = []
for i, j in zip(self.scene, list(range(len(self.scene)))):
self.out = []
data_split = []
print(i, "----------------------------")
print(j)
sub_path = os.path.join(i, "annotations4.txt") # change _ to 4
data = np.genfromtxt(sub_path, delimiter=' ')
# Center coordinates from Bounding Box
x_lim1, y_lim1 = data[:, 1], data[:, 2]
x_lim2, y_lim2 = data[:, 3], data[:, 4]
x = (x_lim1 + x_lim2) // 2
y = (y_lim1 + y_lim2) // 2
# Normalization
x, y = train(x, y, j)
data[:, 1], data[:, 2] = x, y
# all target in the scene
ID = np.unique(data[:, 0][-1])
for j in range(0, int(ID[0])):
trajectory = data[data[:, 0] == j, :]
# ID,x,y,frame,attribute
trajectory = trajectory[:, [0, 1, 2, 5, 9]]
# extract attribute
trajectory = Attribute(trajectory)
if len(trajectory) > 0:
data_split.append(trajectory)
for split in range(len(data_split)):
data_split_coor = data_split[split]
if data_split_coor.shape[0] > self.sequence + 1:
self.out.append(data_split_coor[:,
[1, 2, 4, 5, 6, 7, 8, 9]])
self.all_data.append(
data_split_coor[:, [1, 2, 4, 5, 6, 7, 8, 9]])
self.list_coordinate.append(self.out)
self.list.append(len(self.out))
def __init__(self, sequence=10):
self.path = glob(PATH)
self.path.sort()
self.sequence = sequence
self.list = []
self.list_coordinate = []
self.all_data = []
for i, j in zip(self.path, range(len(self.path))):
print i, "----------------------------"
print j
self.out = []
trajectory_split = []
sub_path = os.path.join(i, "annotations_.txt")
data = np.genfromtxt(sub_path, delimiter=' ')
# Center coordinates from Bounding Box
x_lim1, y_lim1 = data[:, 1], data[:, 2]
x_lim2, y_lim2 = data[:, 3], data[:, 4]
x = (x_lim1 + x_lim2) / 2
y = (y_lim1 + y_lim2) / 2
# Normalization
x, y = train(x, y, j)
data[:, 1], data[:, 2] = x, y
# all target in the scene
ID = np.unique(data[:, 0][-1])
for j in range(0, int(ID[0])):
trajectory = data[data[:, 0] == j, :]
# ID,x,y,frame
trajectory = trajectory[:, [0, 1, 2, 5]]
if len(trajectory) > 0:
trajectory_split.append(trajectory)
for split in xrange(len(trajectory_split)):
data_split = trajectory_split[split]
if data_split.shape[0] > self.sequence + 1:
self.out.append(data_split[:, [1, 2]])
self.all_data.append(data_split[:, [1, 2]])
self.list_coordinate.append(self.out)
self.list.append(len(self.out))
