def __init__(self, port, net_args, oversample, category_no, max_num_items,
database_filename):
self.net_args = net_args
self.database_filename = database_filename
# Initialize classifier
app.oversample = oversample
app.agent = agent(**self.net_args)
logging.info('Initialize vision model done')
app.agent.net.forward()
logging.info('Net forward done')
# Initialize indexer
app.indexer = indexer(category_no, max_num_items)
app.indexer.load_category(database_filename)
logging.info('Initialize indexer done')
# get parser_utils
app.parser_utils = parser_utils()
app.korean_url_handler = korean_url_handler()
# start web server
web_server.__init__(self, app, port)
def __init__(self,
port,
net_args, oversample,
category_no, max_num_items, database_filename):
self.net_args = net_args
self.database_filename = database_filename
# Initialize classifier
app.oversample = oversample
app.agent = agent(**self.net_args)
logging.info('Initialize vision model done')
app.agent.net.forward()
logging.info('Net forward done')
# Initialize indexer
app.indexer = indexer(category_no, max_num_items)
app.indexer.load_category(database_filename)
logging.info('Initialize indexer done')
# get parser_utils
app.parser_utils = parser_utils()
app.korean_url_handler = korean_url_handler()
# start web server
web_server.__init__(self, app, port)
from parser_utils import parser_utils
url_prefix = 'http://10.202.35.0:8081/mosaic_request_handler/?query=%s&cate=cate'
DATASET_ROOT = '/storage/product'
INPUT_FILENAME = '{}/demo_{}.txt'.format('11st_julia',
category_no[current_category])
OUTPUT_FILENAME = \
'/storage/product/11st_julia/demo_{}.txt.wrap_size0.det16.pickle'.format(
category_no[current_category])
#import pdb; pdb.set_trace()
start_total = time.time()
#import pdb; pdb.set_trace()
meta_filename = '{}/{}'.format(DATASET_ROOT, INPUT_FILENAME)
parser = parser_utils()
meta = parser.parse(meta_filename)
for n, item in enumerate(meta):
try:
prd_no = item['__prd_no__']
fname = \
'/userdata2/index_11st_20151020/october_11st_imgdata/{}.jpg'.format(prd_no)
object_roi = item['__object_roi__'].strip().split(',')
category_id = item['__mctgr_no__']
roi = parser.get_roi_meta_dic(object_roi)
start_request = time.time()
# get json object
response = urllib2.urlopen(url_prefix % url)
if response <> None:
# read json object into managable json object in python
retrieved_items = json.loads(response.read())
from parser_utils import parser_utils
url_prefix = 'http://10.202.35.0:8081/mosaic_request_handler/?query=%s&cate=cate'
DATASET_ROOT = '/storage/product'
INPUT_FILENAME = '{}/demo_{}.txt'.format(
'11st_julia', category_no[current_category])
OUTPUT_FILENAME = \
'/storage/product/11st_julia/demo_{}.txt.wrap_size0.det16.pickle'.format(
category_no[current_category])
#import pdb; pdb.set_trace()
start_total = time.time()
#import pdb; pdb.set_trace()
meta_filename = '{}/{}'.format(DATASET_ROOT, INPUT_FILENAME)
parser = parser_utils()
meta = parser.parse(meta_filename)
for n, item in enumerate(meta):
try:
prd_no = item['__prd_no__']
fname = \
'/userdata2/index_11st_20151020/october_11st_imgdata/{}.jpg'.format(prd_no)
object_roi = item['__object_roi__'].strip().split(',')
category_id = item['__mctgr_no__']
roi = parser.get_roi_meta_dic(object_roi)
start_request = time.time()
# get json object
response = urllib2.urlopen(url_prefix % url)
if response <> None:
# read json object into managable json object in python
retrieved_items = json.loads(response.read())
