stiv-yakovenko

function () {
                this.color = "", this.radioYes = "", "" == this.answer || null == this.answer || null == this.answer ? alert("\u10d0\u10d8\u10e0\u10e9\u10d8\u10d4\u10d7 \u10de\u10d0\u10e1\u10e3\u10ee\u10d8") : (this.fullCount++, 36 == this.index && (this.YesButton = "\u10dc\u10d0\u10db\u10e3\u10e8\u10d4\u10d5\u10d0\u10e0\u10d8 \u10d3\u10e0\u10dd", this.NoButton = "\u10e8\u10d4\u10e1\u10e0\u10e3\u10da\u10d4\u10d1\u10e3\u10da\u10d8 \u10e1\u10d0\u10db\u10e3\u10e8\u10d0\u10dd"), this.index > -1 && this.index < 7 ? "no" == this.answer ? (this.answers_array[this.index] = "0", this.incorrect_answer()) : "yes" == this.answer && (this.answers_array[this.index] = "1", this.correct_answer(), this.result_payer()) : this.index > 6 && this.index < 26 ? (this.index > 6 && this.index < 22 ? "yes" == this.answer ? (this.answers_array[this.index] = "1", this.correct_answer()) : (this.answers_array[this.index] = "0", this.incorrect_answer()) : this.index > 21 && this.index < 26 && ("no" == this.answer ? (this.answ

stiv-yakovenko

#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/videoio.hpp"
#include <opencv2/calib3d.hpp>
#include <opencv2/core/cvstd.hpp>
#include <iostream>
using namespace cv;
using namespace std;
double my_exp(double a,double s, double x0,double x){

stiv-yakovenko

extern "C" void __attribute__((no_instrument_function))
__cyg_profile_func_enter(void* this_fn, void* call_site)
{
    int p =(char*) this_fn - (char *)main;
    if(funcs.size()!=0){
        if(funcs.count(p)) {
            string fname = funcs[p];
            if (fname.rfind("cv::",0)==0) return;
            if (fname.rfind("FrameWithInfo::Fra",0)==0) return;
            if (fname.rfind("FrameWithInfo::~Fra",0)==0) return;

stiv-yakovenko

class FairMutex {
private:
  class waitnode {
    std::condition_variable cv_;
    waitnode* next_ = nullptr;
    FairMutex& fmtx_;
  public:
    waitnode(FairMutex& fmtx) : fmtx_(fmtx) {
      *fmtx.tail_ = this;
      fmtx.tail_ = &next_;

stiv-yakovenko

cmake_minimum_required(VERSION 3.15)
set(CMAKE_VERBOSE_MAKEFILE on)
#set (OpenCV_DIR /home/stiv2/opencv-4.1.2/build)
#find_package(OpenCV REQUIRED )

#set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -c ")
project(darknet)

set(CMAKE_CXX_STANDARD 14)
#add_definitions(-DOPENCV=1)

stiv-yakovenko

==1549== Memcheck, a memory error detector
==1549== Copyright (C) 2002-2017, and GNU GPL'd, by Julian Seward et al.
==1549== Using Valgrind-3.13.0 and LibVEX; rerun with -h for copyright info
==1549== Command: ./deepstream-test3-app file:///home/stiv/lpr/data/mp4-2/mgm15-2.mp4
==1549== 
==1549== Warning: noted but unhandled ioctl 0x30000001 with no size/direction hints.
==1549==    This could cause spurious value errors to appear.
==1549==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
==1549== Warning: noted but unhandled ioctl 0x27 with no size/direction hints.
==1549==    This could cause spurious value errors to appear.

stiv-yakovenko

Vagrant.configure(2) do |config|
  # Ubuntu 15.10
  config.vm.box = "bento/ubuntu-18.04"

  config.vm.provider "virtualbox" do |vb|
    # Display the VirtualBox GUI when booting the machine
    vb.gui = true
  end

  # Install xfce and virtualbox additions

stiv-yakovenko

                smooth = 1.
                intersection = tf.reduce_sum(flat_logits * flat_labels)
                dice_score = (2 * intersection + smooth) / (
                            tf.reduce_sum(flat_labels) + tf.reduce_sum(flat_logits) + smooth)
                dice_loss = 1 - dice_score
                cross_entropy_loss = tf.reduce_mean(
                    tf.nn.softmax_cross_entropy_with_logits_v2(logits=flat_logits, labels=flat_labels))
                loss = dice_loss + cross_entropy_loss

stiv-yakovenko

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

batch_size = 32
loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
    tf.saved_model.loader.load(sess, [tf.saved_model.tag_constants.TRAINING], "./models/roofs_not_roofs/")
    im = np.array(Image.open("./test_pic/b2_DJI_0145_02_05.png"), np.float32)[None,...]/256
    x = loaded_graph.get_tensor_by_name('x:0')

stiv-yakovenko

Attaching to process ID 20365, please wait...
Debugger attached successfully.
Server compiler detected.
JVM version is 25.181-b13
Deadlock Detection:

No deadlocks found.

Thread 28025: (state = BLOCKED)
 - sun.misc.Unsafe.park(boolean, long) @bci=0 (Compiled frame; information may be imprecise)