84648488
 Chunk
reverted.
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__author__ = 'chunk'
from mdata import *
from mfeat import *
import os, sys
import base64
from PIL import Image
from io import BytesIO
from hashlib import md5
import csv
import shutil
from common import *
import json
import collections
import itertools
import happybase
class DataMSR(DataDumperBase):
def __init__(self, base_dir='/home/hadoop/data/MSR-IRC2014/', category='Dev',
data_file='DevSetImage.tsv', tag_file='DevSetLabel.tsv'):
DataDumperBase.__init__(self, base_dir, category)
self.data_file = self.base_dir + self.category + '/' + data_file
self.tag_file = self.base_dir + self.category + '/' + tag_file
self.map_file = self.base_dir + self.category + '/' + 'images_map.tsv'
self.table_name = self.base_dir.split('/')[-2] + '-' + self.category
def format(self):
self.extract()
def _load_base64(self):
assert self.data_file != None and os.path.exists(self.data_file)
with open(self.data_file, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
yield (line[0], line[1])
def _hash_dump(self, data):
img = Image.open(BytesIO(base64.b64decode(data)))
img.save('res/tmp.jpg', format='JPEG')
with open('res/tmp.jpg', 'rb') as f:
index = md5(f.read()).hexdigest()
dir = self.img_dir + index[:3] + '/'
if not os.path.exists(dir):
os.makedirs(dir)
image_path = dir + index[3:] + '.jpg'
print image_path
if not os.path.exists(image_path):
shutil.copy('res/tmp.jpg', image_path)
# or :
# img.save(image, format='JPEG')
def extract(self):
for name, data in self._load_base64():
self._hash_dump(data)
def build_list(self):
assert self.list_file != None
with open(self.list_file, 'wb') as f:
for path, subdirs, files in os.walk(self.img_dir):
for name in files:
entry = path.split('/')[-1] + '/' + name
print entry
f.write(entry + '\n')
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_buffer = {}
with open(self.list_file, 'rb') as f:
for line in f:
path_img = line.strip('\n')
if path_img:
with open(self.img_dir + path_img, 'rb') as fpic:
dict_buffer[path_img.replace('/', '')] = fpic.read()
try:
with self.table.batch(batch_size=5000) as b:
for imgname, imgdata in dict_buffer.items():
b.put(imgname, {'cf_pic:data': imgdata})
except ValueError:
raise
pass
def store_tag(self, feattype='retrieve'):
if self.table == None:
self.table = self.get_table()
dict_namebuf = {}
dict_tagbuf = {}
with open(self.map_file, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
dict_namebuf[line[2]] = line[0]
with open(self.tag_file, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
dict_tagbuf[line[-2]] = (line[0].split(), line[-1])
try:
with self.table.batch(batch_size=5000) as b:
for key, data in self.table.scan():
value = dict_tagbuf[dict_namebuf[key[:-4]]]
b.put(key, {'cf_tag:' + feattype: json.dumps(value[0]), 'cf_tag:eval': value[1]})
except ValueError:
raise
pass
def get_feat(self, feattype):
pass
def store_feat(self, feattype):
pass
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