wenfahu

name: "VGG_FACE_16_layers"
layer {
  name: 'data'
  type: 'Python'
  top: 'data'
  top: 'labels'
  python_param {
    module: 'data_layer'
    layer: 'DataLayer'
  }

wenfahu

name: "VGG_FACE_16_layers"
layer {
  name: 'data'
  type: 'Python'
  top: 'data'
  top: 'labels'
  python_param {
    module: 'data_layer'
    layer: 'DataLayer'
  }

wenfahu

name: "inception_bn"
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {

wenfahu

package com.example.wenfahu.simplecam;

import android.content.Context;
import android.os.Bundle;
import android.os.Handler;
import android.os.Message;
import android.util.Log;

import org.opencv.core.Mat;

wenfahu

#################################################
# OpenCV based python program for lane detection
# Image input size : 320x240
################################################
import cv2
import numpy as np
import scipy as sp
import sys 
from scipy.interpolate import UnivariateSpline

wenfahu

<DOC>
  <DOCNO>docid</DOCNO>
  <URL>url</URL>
  网页原代码，带html标签
  ……
</DOC>

wenfahu

<doc>
  <docno>docid</docno>
  <url>url</url>
  <contenttitle>（title）</contenttitle>
  <content> (新闻正文)</content>
</doc>

wenfahu

<DOC>
  <DOCNO>docid</DOCNO>
  <URL>url</URL>
    网页原代码，带html标签
    ……
</DOC>

wenfahu

<annotation>
  <filename>12_0001941</filename>
  <object>
    <class>coat</class>
    <bndbox>
      <xmin>122</xmin>
      <ymin>121</ymin>
      <xmax>282</xmax>
      <ymax>312</ymax>
    </bndbox>

wenfahu

<annotation>
  <filename>textl20160525_03010</filename>
  <object>
    <class>textline</class>
    <bndbox>
      <xmin>541</xmin>
      <ymin>21</ymin>
      <xmax>657</xmax>
      <ymax>37</ymax>
    </bndbox>