androuino

package com.example.ui

import com.github.naoghuman.lib.i18n.core.I18NResourceBundleBuilder
import com.example.common.core.SysInfo
import com.example.ui.system.handler.AppViewHandler
import groovy.transform.CompileStatic
import javafx.scene.image.Image
import javafx.stage.Stage
import org.junit.BeforeClass
import org.junit.jupiter.api.Test

androuino

/*
 * Copyright 2016 The TensorFlow Authors. All Rights Reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *       http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

androuino

Printing the value of NDArray [
2
 [
3
  [
4
   [255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,254.0,254.0,254.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,255.0,254.0,252.0,251.0,250.0,255.0,255.0,255.0,252.0,252.0,254.0,255.0,255.0,255.0,252.0,252.0,251.0,243.0,245.0,243.0,223.0,182.0,140.0,124.0,142.0,187.0,227.0,244.0,244.0,235.0,168.0,85.0,40.0,22.0,5.0,10.0,10.0,11.0,10.0,9.0,9.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,8.0,9.0,9.0,9.0,9.0,9.0,9.0,8.0,9.0,10.0,11.0,12.0,12.0,11.0

androuino

package mxnet;
import org.apache.mxnet.infer.javaapi.ObjectDetector;
import org.apache.mxnet.infer.javaapi.ObjectDetectorOutput;
import org.apache.mxnet.infer.javaapi.Predictor;
import org.apache.mxnet.javaapi.*;

import java.awt.image.BufferedImage;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

androuino

"""Train YOLOv3 with random shapes."""
import argparse
import os
import logging
import time
import warnings
import numpy as np
import mxnet as mx
from mxnet import nd
from mxnet import gluon

androuino

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *

androuino

Exception in thread "main" java.lang.UnsatisfiedLinkError: /tmp/mxnet463915887770065837/mxnet-scala: libcudart.so.9.2: cannot open shared object file: No such file or directory
	at java.lang.ClassLoader$NativeLibrary.load(Native Method)
	at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1941)
	at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1824)
	at java.lang.Runtime.load0(Runtime.java:809)
	at java.lang.System.load(System.java:1086)
	at org.apache.mxnet.util.NativeLibraryLoader$.loadLibraryFromFile(NativeLibraryLoader.scala:131)
	at org.apache.mxnet.util.NativeLibraryLoader$.loadLibrary(NativeLibraryLoader.scala:99)
	at org.apache.mxnet.Base$.<init>(Base.scala:72)
	at org.apache.mxnet.Base$.<clinit>(Base.scala)

androuino

{
  "nodes": [
    {
      "op": "null", 
      "name": "data", 
      "inputs": []
    }, 
    {
      "op": "null", 
      "name": "darknetv30_conv0_weight", 

androuino

package org.deeplearning4j.examples.convolution.objectdetection;

import java.io.File;
import java.net.URI;
import java.net.URISyntaxException;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.bytedeco.javacv.CanvasFrame;
import org.bytedeco.javacv.OpenCVFrameConverter;

androuino

package org.deeplearning4j.examples.convolution.objectdetection;

import java.io.File;
import java.net.URI;
import java.net.URISyntaxException;
import java.util.List;
import java.util.Random;
import org.bytedeco.javacv.CanvasFrame;
import org.bytedeco.javacv.OpenCVFrameConverter;
import org.datavec.api.io.filters.RandomPathFilter;