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import os
import csv
import pandas as pd
from pandas import Series, DataFrame
from glob import glob
import os
def count_images_in_folder(folder_path):
image_count = 0
image_names = []
for file_name in os.listdir(folder_path):
if file_name.endswith('.png') or file_name.endswith('.jpg') or file_name.endswith('.jpeg'):
image_count += 1
image_names.append(int(file_name.split('.')[0]))
image_names.sort()
return image_count, image_names
folder_path = './SD_frames'
all_dirs = []
for root, dirs, files in os.walk(folder_path):
for dir in dirs:
all_dirs.append(os.path.join(root, dir))
label = list()
save_path = list()
frame_counts = list()
frame_seq_counts = list()
content_paths = list()
chinese_labels = list()
for video_path in all_dirs:
frame_paths = glob(video_path + '/*')
temp_frame_count, temp_frame_seqs = count_images_in_folder(video_path)
if temp_frame_count == 0:
continue
for frame in frame_paths:
content_path = frame.split('/')[1:-1]
content_path = '/'.join(content_path)
# input your own path
content_path = '/home/AIGC_Video_Det/SD/' + content_path
frame_path = frame.split('/')[1:]
frame_path = '/'.join(frame_path)
frame_path = '/home/AIGC_Video_Det/SD/' + frame_path
print(content_path, frame_path)
label.append(str(1))
frame_counts.append(int(temp_frame_count))
frame_seq_counts.append(temp_frame_seqs)
save_path.append(frame_path)
content_paths.append(content_path)
chinese_labels.append('AIGC视频')
# chinese_labels.append('真实视频')
break
dic={
'content_path': Series(data=content_paths),
'image_path': Series(data=save_path),
'type_id': Series(data=chinese_labels),
'label': Series(data=label),
'frame_len': Series(data=frame_counts),
'frame_seq': Series(data=frame_seq_counts)
}
print(dic)
pd.DataFrame(dic).to_csv('SD.csv', encoding='utf-8', index=False)
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