def main(): define("console", default=False, type=bool) define("mongo_host", default='localhost') parse_command_line() fetch_extended(options.mongo_host)
Input image list should be one image file per line. Output is a csv of <image_file>,<score>, sorted by score. Copyright: 2015 Neon Labs Author: Mark Desnoyer ([email protected]) ''' import cv2 import logging import model import sys import utils.neon from utils.options import define, options define('model_file', default=None, help='File that contains the model') define('output', default=None, help='File to output to. Defaults to stdout') _log = logging.getLogger(__name__) def score_images(image_files, outstream): _log.info('Opening model %s' % options.model_file) mod = model.load_model(options.model_file) results = [] # list of (filename, score) for imfile in image_files: imfile = imfile.strip() if imfile == '': continue image = cv2.imread(imfile)
import sys import cv2 import imageio import logging import matplotlib.pyplot as plt import model import model.predictor import numpy as np import time import utils.autoscale from utils.options import options, define from utils import pycvutils import utils.neon define('input', default=None, help='Input video file') define('output', default=None, help='Output video file') define('model', default=None, help='File that contains the model to use') define('custom_predictor', default=None, help='Name of the custom predictor to use') define('aq_groups', default='AquilaOnDemandTest,AquilaTestSpot', help=('Comma separated list of autoscaling groups to talk to for ' 'aquilla')) define('len', default=None, type=float, help='Desired clip length in seconds') define('n', default=1, help='Number of clips to extract') _log = logging.getLogger(__name__) def main(): conn = utils.autoscale.MultipleAutoScaleGroups( options.aq_groups.split(','))
else: mobi_file = '%s.mobi' % self.ffname logging.info("Build mobi file: %s" % mobi_file) import platform ostype = string.lower(platform.system()) if ostype == 'windows': os.system('kindlegen.exe %s -unicode -o %s' % (self.book_dir+"content.opf", mobi_file)) else: os.popen('kindlegen %s -unicode -o %s' % (self.book_dir+"content.opf", mobi_file)) return self.book_dir+mobi_file define("url", help="feed url") define("xpath", default=None, help="full text xpath") define("max_images", default=10, help="max images in per item", type=int) define("template_path", default=None, help="templates directory") define("data_dir", default=None, help="data directory") define("test", default=False, help="test", type=bool) define("noimage", default=False, help="no image", type=bool) def test(): feeds = [ {'url':'http://news.163.com/special/00011K6L/rss_newstop.xml', 'xpath':"//div[@id='endText']"}, {'url':'http://www.cnbeta.com/backend.php', 'xpath':"//div[@id='news_content']"}, {'url':'http://cn.engadget.com/rss.xml', 'xpath':False}, ] for f in feeds:
Input image list should be one image file per line. Output is a csv of <image_file>,<score>, sorted by score. Copyright: 2015 Neon Labs Author: Mark Desnoyer ([email protected]) ''' import cv2 import logging import model import sys import utils.neon from utils.options import define, options define('model_file', default=None, help='File that contains the model') define('output', default=None, help='File to output to. Defaults to stdout') _log = logging.getLogger(__name__) def score_images(image_files, outstream): _log.info('Opening model %s' % options.model_file) mod = model.load_model(options.model_file) results = [] # list of (filename, score) for imfile in image_files: imfile = imfile.strip() if imfile == '': continue
#!/usr/bin/env python # -*- coding: utf-8 -*- import os.path import site import socket, select import logging import base64 import time TOP_DIR_ = os.path.abspath(os.path.join(__file__, "../../..")) site.addsitedir(os.path.join(TOP_DIR_, "libs")) from utils import options options.define('conf', default=os.path.join(TOP_DIR_, "conf/global.conf")) options.options['logging'].set('info') from utils.misc import get_agps_data_key, get_terminal_sessionID_key from utils.repeatedtimer import RepeatedTimer from utils.dotdict import DotDict from utils.myredis import MyRedis from helpers.confhelper import ConfHelper from constants import GATEWAY from agps.packet.parser.codecheck import T_CLWCheck from agps.packet.parser.agpsparser import AgpsParser from agps.packet.composer.agpscomposer import AgpsComposer class AgpsServer(object):