112 lines
3.4 KiB
Python
112 lines
3.4 KiB
Python
import os
|
|
import sys
|
|
|
|
import math
|
|
import shutil
|
|
import numpy as np
|
|
import scipy.io as sio
|
|
|
|
from tqdm import tqdm
|
|
|
|
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/..')
|
|
from data.cloth3d_io import readPC2, loadInfo
|
|
from data.utils import Frame
|
|
|
|
|
|
|
|
|
|
def clean_dataset(folder):
|
|
ids = os.listdir(folder)
|
|
|
|
for id in tqdm(ids):
|
|
|
|
if not os.path.isdir(os.path.join(folder, id)):
|
|
continue
|
|
|
|
files = os.listdir(os.path.join(folder, id))
|
|
|
|
for file in files:
|
|
if file.startswith('glmarks') or file.find('nricp') != -1:
|
|
os.remove(os.path.join(folder, id, file))
|
|
|
|
|
|
def generate_frames_file(folder, file_name):
|
|
ids = os.listdir(folder)
|
|
frames = []
|
|
|
|
for id in tqdm(ids):
|
|
|
|
if not os.path.isdir(os.path.join(folder, id)):
|
|
continue
|
|
|
|
garments = [f.replace('.obj','') for f in os.listdir(os.path.join(folder, id)) if f.endswith('.obj')]
|
|
info = loadInfo(os.path.join(folder, id, 'info.mat'))
|
|
|
|
for garment in garments:
|
|
for i in range(info['poses'].shape[1]):
|
|
frames.append(Frame(id, i, garment))
|
|
|
|
with open(os.path.join(folder, file_name), 'w') as f:
|
|
for i, frame in enumerate(frames):
|
|
f.write(str(frame.id) + ' ' + str(frame.frame_nr) + ' ' + str(frame.garment) + '\n')
|
|
|
|
|
|
def split_data(folder, ratio):
|
|
with open(os.path.join(folder, 'frames_all.txt'), "r") as f:
|
|
frames = f.readlines()
|
|
|
|
ids = sorted(list(set([frame.split()[0] for frame in frames])))
|
|
train_last_id = round(len(ids) * ratio)
|
|
|
|
train_frames = []
|
|
valid_frames = []
|
|
|
|
for frame in tqdm(frames):
|
|
id = frame.split()[0]
|
|
if id in ids[:train_last_id]:
|
|
train_frames.append(frame)
|
|
else:
|
|
valid_frames.append(frame)
|
|
|
|
with open(os.path.join(folder, f'frames_train_{ratio}.txt'), 'w') as f:
|
|
f.writelines(train_frames)
|
|
|
|
with open(os.path.join(folder, f'frames_valid_{round(1-ratio,1)}.txt'), 'w') as f:
|
|
f.writelines(valid_frames)
|
|
|
|
|
|
def genereated_registered_and_mask(folder, is_skirt = False):
|
|
ids = os.listdir(folder)
|
|
|
|
for id in tqdm(ids):
|
|
garment_dir = os.path.join(folder, id)
|
|
if not os.path.isdir(garment_dir):
|
|
continue
|
|
garments = [f.replace('.pc16','') for f in os.listdir(garment_dir) if f.find('_') == -1 and not f.endswith('.mat') and not f.endswith('.obj') and not f.startswith('Combined')]
|
|
|
|
assert len(garments) == 1
|
|
|
|
if os.path.exists(os.path.join(garment_dir, garments[0] + '_registered.pc16')):
|
|
continue
|
|
|
|
garment = garments[0]
|
|
|
|
verts = readPC2(os.path.join(garment_dir, garment + '.pc16'), True)['V']
|
|
map = sio.loadmat(os.path.join(garment_dir, garment + '_map.mat'))['map'].reshape((-1))
|
|
verts = verts[:, map, :] # ---------------> This is the garment after registration
|
|
raw_mask = sio.loadmat(os.path.join(garment_dir, garment + '_mask.mat'))['mask'].reshape((-1))
|
|
mask = raw_mask > 0
|
|
# boundaries = raw_mask == 2
|
|
|
|
writePC2(os.path.join(garment_dir, garment + '_registered.pc16'), verts, True)
|
|
np.save(os.path.join(garment_dir, garment + '_mask.npy'), mask)
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
|
|
folder = '/home/workspace/data/dataset/cloth3d/train'
|
|
|
|
# clean_dataset(folder)
|
|
# generate_frames_file(folder, 'frames_all.txt')
|
|
split_data(folder, 0.9) |