84648488
 Chunk
reverted.
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__author__ = 'chunk'
from mdata import *
from mfeat import HOG
import os, sys
from PIL import Image
from hashlib import md5
import csv
import shutil
from common import *
import json
import collections
import happybase
class DataCV(DataDumperBase):
def __init__(self, base_dir='/home/hadoop/data/HeadShoulder/', category='Train'):
DataDumperBase.__init__(self, base_dir, category)
self.data_dir = self.base_dir + self.category + '/'
self.dict_data = {}
def format(self):
self.extract()
def _hash_copy(self, image, ispos):
if not image.endswith('jpg'):
img = Image.open(image)
img.save('res/tmp.jpg', format='JPEG')
image = 'res/tmp.jpg'
with open(image, 'rb') as f:
index = md5(f.read()).hexdigest()
self.dict_data[index] = ispos
# origion:
# dir = base_dir + 'Img/Train/' + index[:3]
dir = self.img_dir + index[:3] + '/'
if not os.path.exists(dir):
os.makedirs(dir)
image = dir + index[3:] + '.jpg'
print image
if not os.path.exists(image):
shutil.copy(image, image)
else:
pass
def extract(self):
for path, subdirs, files in os.walk(self.data_dir):
for name in files:
imagepath = os.path.join(path, name)
print imagepath
if imagepath.split('/')[-2].startswith('pos'):
self._hash_copy(imagepath, True)
else:
self._hash_copy(imagepath, False)
ordict_img = collections.OrderedDict(sorted(self.dict_data.items(), key=lambda d: d[0]))
with open(self.list_file, 'w') as f:
tsvfile = csv.writer(f, delimiter='\t')
for key, value in ordict_img.items():
tsvfile.writerow([key] + [value])
def get_table(self):
if self.table != None:
return self.table
if self.connection is None:
c = happybase.Connection('HPC-server')
self.connection = c
tables = self.connection.tables()
if self.table_name not in tables:
families = {'cf_pic': dict(),
'cf_info': dict(max_versions=10),
'cf_tag': dict(),
'cf_feat': dict(),
}
self.connection.create_table(name=self.table_name, families=families)
table = self.connection.table(name=self.table_name)
self.table = table
return table
def store_image(self):
if self.table == None:
self.table = self.get_table()
dict_databuf = {}
with open(self.list_file, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
path_img = self.img_dir + + line[0][:3] + '/' + line[0][3:] + '.jpg'
if path_img:
with open(path_img, 'rb') as fpic:
dict_databuf[line[0] + '.jpg'] = fpic.read()
try:
with self.table.batch(batch_size=5000) as b:
for imgname, imgdata in dict_databuf.items():
b.put(imgname, {'cf_pic:data': imgdata})
raise ValueError("Something went wrong!")
except ValueError:
pass
def store_tag(self, feattype='hog'):
if self.table == None:
self.table = self.get_table()
dict_tagbuf = {}
with open(self.list_file, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
dict_tagbuf[line[0] + '.jpg'] = line[1]
try:
with self.table.batch(batch_size=5000) as b:
for imgname, imgtag in dict_tagbuf.items():
b.put(imgname, {'cf_tag:' + feattype: imgtag})
raise ValueError("Something went wrong!")
except ValueError:
pass
def get_feat(self, feattype='hog'):
dict_tagbuf = {}
with open(self.list_file, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
dict_tagbuf[line[0] + '.jpg'] = line[1]
dict_featbuf = {}
for imgname, imgtag in dict_tagbuf.items():
# if imgtag == 'True':
image = self.img_dir + imgname[:3] + '/' + imgname[3:]
desc = HOG.FeatHOG.feat(image, size=(48, 48))
dict_featbuf[imgname] = desc
for imgname, desc in dict_featbuf.items():
# print imgname, desc
dir = self.feat_dir + imgname[:3] + '/'
if not os.path.exists(dir):
os.makedirs(dir)
featpath = dir + imgname[3:].split('.')[0] + '.' + feattype
with open(featpath, 'wb') as featfile:
featfile.write(json.dumps(desc.tolist()))
def store_feat(self, feattype='hog'):
if self.table == None:
self.table = self.get_table()
dict_featbuf = {}
for path, subdirs, files in os.walk(self.feat_dir):
for name in files:
featpath = os.path.join(path, name)
# print featpath
with open(featpath, 'rb') as featfile:
imgname = path.split('/')[-1] + name.replace('.' + feattype, '.jpg')
dict_featbuf[imgname] = featfile.read()
try:
with self.table.batch(batch_size=5000) as b:
for imgname, featdesc in dict_featbuf.items():
b.put(imgname, {'cf_feat:' + feattype: featdesc})
raise ValueError("Something went wrong!")
except ValueError:
pass
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