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/', sub_dir='Dev/', data_file='DevSetImage.tsv'):
DataDumperBase.__init__(self)
self.base_dir = base_dir
self.sub_dir = sub_dir
self.data_file = self.base_dir + self.sub_dir + data_file
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.base_dir + self.sub_dir + 'Img/' + index[:3]
if not os.path.exists(dir):
os.makedirs(dir)
path = dir + '/' + index[3:] + '.jpg'
print path
if not os.path.exists(path):
shutil.copy('res/tmp.jpg', path)
# or :
# img.save(path, format='JPEG')
def extract(self):
for name, data in self.load_base64():
self.hash_dump(data)
def build_list(self):
dir = self.base_dir + self.sub_dir
lst = dir + 'Image.lst'
with open(lst, 'wb') as f:
for path, subdirs, files in os.walk(dir):
for name in files:
entry = path.split('/')[-1] + '/' + name
print entry
f.write(entry + '\n')
def get_table(self, tablename, connection=None):
if connection is not None:
c = connection
else:
c = happybase.Connection('HPC-server')
tables = c.tables()
if tablename not in tables:
families = {'cf_pic': dict(),
'cf_info': dict(max_versions=10),
'cf_tag': dict(),
}
c.create_table(name=tablename, families=families)
tb = c.table(name=tablename)
return tb
def store_image(self, table):
timer.mark()
dir = self.base_dir + self.sub_dir + 'Img2/'
lst = dir + 'Image.lst'
dict_buffer = {}
with open(lst, 'rb') as f:
for line in f:
path_img = line.strip('\n')
if path_img:
with open(dir + 'Dev/' + path_img, 'rb') as fpic:
dict_buffer[path_img.replace('/', '')] = fpic.read()
timer.report() # 1.507566s
timer.mark()
try:
with table.batch(batch_size=5000) as b:
for imgname, imgdata in dict_buffer.items():
b.put(imgname, {'cf_pic:data': imgdata})
raise ValueError("Something went wrong!")
except ValueError:
pass
timer.report() # 228.003684s
def store_tag(self, table):
timer.mark()
dir = self.base_dir + self.sub_dir + 'Img2/'
maplst = dir + 'Image.tsv'
taglist = self.base_dir + self.sub_dir + 'Dev/DevSetLabel.tsv'
dict_namebuf = {}
dict_tagbuf = {}
with open(maplst, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
dict_namebuf[line[0]] = line[2]
with open(taglist, 'rb') as tsvfile:
tsvfile = csv.reader(tsvfile, delimiter='\t')
for line in tsvfile:
dict_tagbuf[line[-2]] = (line[:-2], line[-1])
timer.report() # 0.148540s
timer.mark()
try:
with table.batch(batch_size=5000) as b:
for key, value in dict_tagbuf.items():
b.put(dict_namebuf[key] + '.jpg', {'cf_tag:' + ''.join(value[0]): value[1]})
raise ValueError("Something went wrong!")
except ValueError:
pass
timer.report() # 3.280105s
def get_feat(self, category):
pass
def store_feat(self, table, category):
pass
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