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def test_loss_profiling():
    loss = nn.BCEWithLogitsLoss()
    with torch.autograd.profiler.profile(use_cuda=True) as prof:
        input = torch.randn((8, 1, 128, 128)).cuda()
        input.requires_grad = True

        target = torch.randint(1, (8, 1, 128, 128)).cuda().float()

        for i in range(10):
            l = loss(input, target)

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from pytorch_toolbelt.modules import ABN, GlobalAvgPool2d
from pytorch_toolbelt.modules import decoders as D
from pytorch_toolbelt.modules import encoders as E
from torch import nn
from torch.nn import functional as F


class FPNCatSegmentationModel(nn.Module):
    def __init__(
        self,

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# Prepare system
apt-get update
apt-get upgrade
apt-get install build-essential
apt-get install cmake
apt-get install git
apt-get install pkg-config

# Grab frest opencv library
curl -sL https://github.com/Itseez/opencv/archive/master.zip > opencv.zip

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/**
 * @brief     Image enchancement and Hough transform example
 * @author    Eugene Khvedchenya <ekhvedchenya@gmail.com>
 * @copyright computer-vision-talks.com/articles/how-to-detect-circles-in-noisy-image/
 */



#include <opencv2/opencv.hpp>

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void drawHistogram(cv::Mat src, cv::Mat& histImage)
  {
      using namespace cv;
      using namespace std;

      /// Separate the image in 3 places ( B, G and R )
        vector<Mat> bgr_planes;
        split( src, bgr_planes );

        /// Establish the number of bins

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General configuration for OpenCV 2.9.0 =====================================
  Version control:               unknown

  Platform:
    Host:                        Linux 2.6.32-358.14.1.el6.mmapsem.x86_64 x86_64
    CMake:                       2.8.10.2
    CMake generator:             Unix Makefiles
    CMake build tool:            /usr/bin/gmake
    Configuration:               Release

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#!/bin/sh

cd ~/

curl -L http://www.cmake.org/files/v2.8/cmake-2.8.10.2-Linux-i386.sh > cmake.sh
sh cmake.sh --prefix='~/lib/cmake'

curl -L https://github.com/Itseez/opencv/archive/master.zip 2> /dev/null > opencv.zip
unzip opencv.zip

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#include <node.h>
#include <opencv2/opencv.hpp>
#include <string>

using namespace v8;

// This function returns a JavaScript number that is either 0 or 1.
Handle<Value> buildInformation(const Arguments& args)
{
    // At the top of every function that uses anything about v8, include a

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# Clone fresh copy of OpenCV
git clone https://github.com/Itseez/opencv.git opencv-node

# Prepare build and install dirs
mkdir opencv-node-build
mkdir opencv-node-bin
cd opencv-node-build

# Configure OpenCV
cmake -DCMAKE_BUILD_TYPE=RELEASE \

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/**********************************************************************************
* OpenCV Rocks - Image mosaic demo
*
* This tutorial shows how to create mosaic image
* from digital photography using OpenCV.
*
* Author: Eugene Khvedchenya <ekhvedchenya@gmail.com>
*
* More information:
*  - http://computer-vision-talks.com