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Namespace(batch_size=10, ignore_label=0, input_size='228, 304', learning_rate=0.00025, model='model_joint4', momentum=0.9, num_classes=4, num_steps=15001, power=0.9, random_mirror=False, random_scale=False, random_seed=1234, restore_model=False, save_num_images=2, save_pred_every=1000, train_list='', weight_decay=0.0005)
begin test
Model size:3,600,248
Model size:7,209,840
2017-09-16 17:03:50.563408: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-16 17:03:50.563431: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-16 17:03:50.563439: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed 

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from PIL import Image
import numpy as np
import tensorflow as tf


def fre_iou(labels,
            predictions,
            num_classes,
            weights=None,
            metrics_collections=None,

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import java.lang.reflect.GenericArrayType;
import java.lang.reflect.ParameterizedType;
import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;
import java.lang.reflect.WildcardType;
import java.util.HashMap;
import java.util.Map;


public class GenericTest<T1,T2 extends Number> {

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import android.content.Context;
import android.os.Debug;
import java.io.File;

public class OomExceptionHandler implements Thread.UncaughtExceptionHandler {

  private static final String FILENAME = "out-of-memory.hprof";

  public static void install(Context context) {
    Thread.UncaughtExceptionHandler defaultHandler = Thread.getDefaultUncaughtExceptionHandler();

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		TypedValue typedValue = new TypedValue(); 
//		((Activity)context).getTheme().resolveAttribute(android.R.attr.textAppearanceLarge, typedValue, true);

int[] textSizeAttr = new int[] { android.R.attr.textSize };
int indexOfAttrTextSize = 0;
TypedArray a = context.obtainStyledAttributes(typedValue.data, textSizeAttr);
int textSize = a.getDimensionPixelSize(indexOfAttrTextSize, -1);
a.recycle();

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# 配置自己的源文件目录和源文件后缀名
MY_FILES_PATH  :=  $(LOCAL_PATH) \
                   $(LOCAL_PATH)/../../Classes

MY_FILES_SUFFIX := %.cpp %.c

# 递归遍历目录下的所有的文件
rwildcard=$(wildcard $1$2) $(foreach d,$(wildcard $1*),$(call rwildcard,$d/,$2))

# 获取相应的源文件

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AAssetDir* assetDir = AAssetManager_openDir(mgr, "");
const char* filename = (const char*)NULL;
while ((filename = AAssetDir_getNextFileName(assetDir)) != NULL) {
    AAsset* asset = AAssetManager_open(mgr, filename, AASSET_MODE_STREAMING);
    char buf[BUFSIZ];
    int nb_read = 0;
    FILE* out = fopen(filename, "w");
    while ((nb_read = AAsset_read(asset, buf, BUFSIZ)) > 0)
        fwrite(buf, nb_read, 1, out);
    fclose(out);

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/*
 * SingleTraveralRandom.h
 *
 *  Created on: 2013年11月25日
 *      Author: houzhi
 */

#ifndef SINGLETRAVERALRANDOM_H_
#define SINGLETRAVERALRANDOM_H_

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import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import android.app.Activity;
import android.os.Bundle;
import android.widget.ArrayAdapter;

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	TypedArray array = resources.obtainTypedArray(R.array.share_str);
	Drawable drawable = array.getDrawable(0);