dkurt

import numpy as np
import cv2 as cv
import tensorflow as tf

img = cv.imread('img1.jpg')
img = np.ascontiguousarray(img[:,:,[2, 1, 0]])
resized_img = cv.resize(img, (640, 640))

#
# Run TensorFlow

dkurt

# docker build raspberry_pi -t vineyard_rpi --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_proxy
# docker run -v $(pwd):/mnt vineyard_rpi cp opencv.tar.gz /mnt
FROM debian:buster

RUN dpkg --add-architecture armhf && \
    apt-get update && \
    apt-get install -y --no-install-recommends \
    build-essential \
    crossbuild-essential-armhf \
    git \

dkurt

dkurt

cmake_minimum_required(VERSION 3.4.3)

project(sample CXX)

find_package(InferenceEngine REQUIRED)

add_executable(${CMAKE_PROJECT_NAME} main.cpp)
target_compile_features(${CMAKE_PROJECT_NAME} PRIVATE cxx_range_for)

target_link_libraries(${CMAKE_PROJECT_NAME}

dkurt

cmake_minimum_required(VERSION 3.4.3)

project(sample CXX)

find_package(InferenceEngine REQUIRED)
find_package(ngraph REQUIRED)

add_executable(${CMAKE_PROJECT_NAME} main.cpp)
target_compile_features(${CMAKE_PROJECT_NAME} PRIVATE cxx_range_for)

dkurt

sudo curl -o GPG-PUB-KEY-INTEL-OPENVINO-2021 https://apt.repos.intel.com/openvino/2021/GPG-PUB-KEY-INTEL-OPENVINO-2021
sudo apt-key add GPG-PUB-KEY-INTEL-OPENVINO-2021
sudo echo "deb https://apt.repos.intel.com/openvino/2021 all main" | sudo tee - a /etc/apt/sources.list.d/intel-openvino-2021.list
sudo apt-get update
sudo apt-get install -y --no-install-recommends intel-openvino-dev-ubuntu18-2021.1.110

dkurt

<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
    package="com.example.myapplication">

    <application
        android:allowBackup="true"
        android:icon="@mipmap/ic_launcher"
        android:label="@string/app_name"
        android:roundIcon="@mipmap/ic_launcher_round"
        android:supportsRtl="true"

dkurt

import torch
import torch.nn as nn
from torch.autograd import Variable

torch.manual_seed(1412)

def fake_unpool(x, pool_inp, pool_out, indices):
    # perform sanity check
    ref = nn.MaxUnpool2d(2, stride=2)(x, indices)

dkurt

My file

int main(int argc, char** argv) {
  return 0;
}

dkurt

cmake_minimum_required(VERSION 3.4.3)

project(ngraph_custom_layer CXX)

find_package(InferenceEngine REQUIRED)
find_package(ngraph REQUIRED)
find_package(TBB REQUIRED tbb tbbmalloc)

include_directories(
  ${OpenCV_INCLUDE_DIRS}