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generate_filelist.py
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generate_filelist.py
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import pandas as pd
import numpy as np
import os
split = 'test'
data_dir = '/Volumes/stanford/leftImg8bit_sequence_trainvaltest/leftImg8bit_sequence/' + split
path = []
sequence = []
start = []
end = []
indices = {}
for folder in os.listdir(data_dir):
cur = data_dir+'/'+folder
if os.path.isdir(cur):
start_frame = 0
end_frame = 0
first = True
last_seq = 0
for image in os.listdir(cur):
seq = int(image[len(folder+'_'):len(folder+'_')+6])
frame_id = int(image[len(folder+'_')+6+1:len(folder+'_')+6+1+6])
if first or frame_id != end_frame+1:
if not first:
path.append('/ssd/leftImg8bit_sequence/' + split + '/' +folder)
sequence.append(last_seq)
start.append(start_frame)
end.append(end_frame)
if folder+'_'+str(last_seq) not in indices:
indices[folder+'_'+str(last_seq)] = []
indices[folder+'_'+str(last_seq)].append(len(path)-1)
first = False
start_frame = frame_id
end_frame = frame_id
else:
end_frame = frame_id
last_seq = seq
path.append('/ssd/leftImg8bit_sequence/' + split + '/' +folder)
sequence.append(last_seq)
start.append(start_frame)
end.append(end_frame)
if folder+'_'+str(last_seq) not in indices:
indices[folder+'_'+str(last_seq)] = []
indices[folder+'_'+str(last_seq)].append(len(path)-1)
data_dir = 'baseline/data/imgs/' + split
annotated_frames = [-1 for i in range(len(path))]
for folder in os.listdir(data_dir):
cur = data_dir+'/'+folder
if os.path.isdir(cur):
for image in os.listdir(cur):
seq = int(image[len(folder+'_'):len(folder+'_')+6])
frame_id = int(image[len(folder+'_')+6+1:len(folder+'_')+6+1+6])
# print(folder, seq, frame_id)
cur = indices[folder+'_'+str(seq)]
for c in cur:
s = start[c]
e = end[c]
if frame_id <= e and frame_id >= s:
annotated_frames[c] = frame_id
df = pd.DataFrame({'path': path, 'sequence': sequence, 'start': start, 'end': end, 'annotation': annotated_frames})
df.to_csv("video_"+split+"_filelist.csv", sep=',', index=False)