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Data_transfer.py
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Data_transfer.py
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from ast import Delete
import os
import h5py
from dv import AedatFile
import numpy as np
import gc
from tqdm import tqdm
gc.collect()
train_names = []
Path_FE108 = None
Path_save = None
try:
assert(Path_FE108 is not None)
assert(Path_save is not None)
except:
print('Please set the pathes of FE108 dataset and output files')
train_name_file = Path_FE108 + '/train.txt'
with open(train_name_file, 'r') as f:
for line in f.readlines():
if os.path.exists(Path_FE108 + '/'+line.replace("\n", "")):
train_names.append(line.replace("\n", ""))
start_frame_ = {}
match_file = Path_FE108 + '/pair.txt'
with open(match_file, 'r') as f:
for line in f.readlines():
file, start_frame = line.split()
start_frame_[file] = int(start_frame) + 1
for name in train_names:
start_frame = start_frame_[name]
# print('222')
print(name)
gc.collect()
with AedatFile(Path_FE108 + '/'+name+'/events.aedat4') as f1:
output_event = Path_save + name +'.h5'
if os.path.exists(output_event) == False:
print('333')
print('name:{}'.format(name))
gt_bbox = np.loadtxt(Path_FE108+name+'/groundtruth_rect.txt',delimiter=',')
fam_num, length = gt_bbox.shape
events = [packet for packet in f1['events'].numpy()]
events = np.hstack(events)
timestamps, x, y, polarities = events['timestamp'], events['x'], events['y'], events['polarity']
events = np.vstack(( x, y, timestamps, polarities))
events = np.swapaxes(events, 0, 1)
frames = f1['frames']
fam = [i for i in frames]
fam_start = [ fam[i].timestamp_start_of_frame for i in range(len(fam))]
print('333')
# for i in frames:
# print()
# break
H,W = fam[0].size
gt_bbox[:,0] = gt_bbox[:,0] / H
gt_bbox[:,1] = gt_bbox[:,1] / W
gt_bbox[:,2] = gt_bbox[:,2] / H
gt_bbox[:,3] = gt_bbox[:,3] / W
# print('Norm box max:{},min:{}'.format(gt_bbox.max(),gt_bbox.min()))
gt_bbox = gt_bbox.clip(0,1)
# self.start_frame = 710
fam_start = fam_start[start_frame-1: start_frame+fam_num]
# all_frame_start[name] = fam_start
# # self.GT = gt_bbox
# all_GT[name] = gt_bbox
events = events.astype(np.float_)
events[:,0] = events[:,0]/H
events[:,1] = events[:,1]/W
frame_length = len(fam_start)
n = 10
fam_start_mid01 = fam_start[ int(frame_length//n) + 2 ]
eT = events[:,2]
eW = events[:,0]
eH = events[:,1]
eA = events[:,3]
# split_event = {}
flag1 = eT <= fam_start_mid01
Evt_curr = events[flag1,:]
eTCurr = Evt_curr[:,2]
curr_flag = int(frame_length//n)
output_file = h5py.File(output_event, 'w')
for i in tqdm(range(fam_num)):
assert(i < fam_num)
if i+1 > curr_flag:
curr_flag = int(curr_flag + int(frame_length//n))
fam_start_mid01 = fam_start[ min(curr_flag, frame_length - 1)]
fam_start_mid02 = fam_start[ max(curr_flag - int(frame_length//n)-1 , 0)]
flag1 = eT <= fam_start_mid01
flag2 = eT >= fam_start_mid02
Evt_curr = events[flag1*flag2,:]
eTCurr = Evt_curr[:,2]
s_time = fam_start[i]
e_time = fam_start[i + 1]
flag1 = eTCurr >= s_time
flag2 = eTCurr <= e_time
flag = flag1*flag2
event_temp = Evt_curr[flag,:]
# split_event[] = event_s
output_file.create_dataset(str(i),data = event_temp)
output_file.close()
# print('4444')
f1.close()