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use_preproc_bg.py
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use_preproc_bg.py
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import numpy as np
import h5py
import os, sys, traceback
import os.path as osp
import wget, tarfile
import cv2
import Image
def get_data(DB_FNAME):
return h5py.File(DB_FNAME, 'r')
def add_more_data_into_dset(DB_FNAME,more_img_file_path,more_depth_path,more_seg_path):
db=h5py.File(DB_FNAME,'w')
depth_db=get_data(more_depth_path)
seg_db=get_data(more_seg_path)
db.create_group('image')
db.create_group('depth')
db.create_group('seg')
for imname in os.listdir(more_img_file_path):
try:
if imname.endswith('.jpg') or imname.endswith('.png'):
full_path=more_img_file_path+imname
print full_path,imname
j=Image.open(full_path)
imgSize=j.size
rawData=j.tostring()
img=Image.fromstring('RGB',imgSize,rawData)
#img = img.astype('uint16')
db['image'].create_dataset(imname,data=img)
db['depth'].create_dataset(imname,data=depth_db[imname])
db['seg'].create_dataset(imname,data=seg_db['mask'][imname])
db['seg'][imname].attrs['area']=seg_db['mask'][imname].attrs['area']
db['seg'][imname].attrs['label']=seg_db['mask'][imname].attrs['label']
except IOError as e:
continue
db.close()
depth_db.close()
seg_db.close()
# path to the data-file, containing image, depth and segmentation:
DB_FNAME = 'mydata/dset_8000.h5'
#add more data into the dset
more_depth_path='depth.h5'
more_seg_path='seg.h5'
more_img_file_path='bg_img/'
add_more_data_into_dset(DB_FNAME,more_img_file_path,more_depth_path,more_seg_path)