johnolafenwa

#Import needed packages
import torch
import torch.nn as nn
from torchvision.datasets import CIFAR10
from torchvision.transforms import transforms
from torch.utils.data import DataLoader
from torch.optim import Adam
from torch.autograd import Variable
import numpy as np

johnolafenwa

class Unit(nn.Module):
    def __init__(self,in_channels,out_channels):
        super(Unit,self).__init__()
        

        self.conv = nn.Conv2d(in_channels=in_channels,kernel_size=3,out_channels=out_channels,stride=1,padding=1)
        self.bn = nn.BatchNorm2d(num_features=out_channels)
        self.relu = nn.ReLU()

    def forward(self,input):

johnolafenwa

from deepstack import ServerConfig, Detection

config = ServerConfig("http://localhost:80")
detection = Detection(config,name="openlogo")

response = detection.detectObject(r"images/fedex.jpg",output="fedex_new.jpg")

for obj in response:
    print("Name: {}, Confidence: {}".format(obj.label, obj.confidence))

johnolafenwa

//FUNCTION TO COMPUTE THE MAXIMUM PREDICTION AND ITS CONFIDENCE
    public Object[] argmax(float[] array){


        int best = -1;
        float best_confidence = 0.0f;

        for(int i = 0;i < array.length;i++){

            float value = array[i];

johnolafenwa

# Import needed packages
import torch
import torch.nn as nn
from torchvision.transforms import transforms
import matplotlib.pyplot as plt
import numpy as np
from torch.autograd import Variable
from torchvision.models import squeezenet1_1
import torch.functional as F
import requests

johnolafenwa

function printLoop(text):
  while True:
    println(text)
    
if __name__ == "__main__":
  printLoop("Hello")

johnolafenwa

<?xml version="1.0" encoding="utf-8"?>
<android.support.constraint.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
    xmlns:app="http://schemas.android.com/apk/res-auto"
    xmlns:tools="http://schemas.android.com/tools"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    app:layout_behavior="@string/appbar_scrolling_view_behavior"
    tools:context=".Result"
    tools:showIn="@layout/activity_result">

johnolafenwa

<?xml version="1.0" encoding="utf-8"?>
<android.support.design.widget.CoordinatorLayout xmlns:android="http://schemas.android.com/apk/res/android"
    xmlns:app="http://schemas.android.com/apk/res-auto"
    xmlns:tools="http://schemas.android.com/tools"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    tools:context=".Result">

    <android.support.design.widget.AppBarLayout
        android:layout_width="match_parent"

johnolafenwa

package com.johnolafenwa.pytorchandroid;

import android.graphics.Bitmap;
import android.os.Bundle;
import android.support.v7.app.AppCompatActivity;
import android.support.v7.widget.Toolbar;
import android.widget.ImageView;
import android.widget.TextView;

public class Result extends AppCompatActivity {

johnolafenwa

package com.johnolafenwa.pytorchandroid;

import android.content.Intent;
import android.graphics.Bitmap;
import android.os.Bundle;
import android.provider.MediaStore;
import android.support.v7.app.AppCompatActivity;
import android.support.v7.widget.Toolbar;
import android.util.Log;
import android.view.View;