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

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

This page contains a guide of how to add OpenCV into Android Studio Project

Tested with

• OpenCV 4.3.0
• Android Studio 3.6.3

Steps

• Download Android Studio: https://developer.android.com/studio
• Download OpenCV SDK for Android: https://github.com/opencv/opencv/releases/

dkurt

import tensorflow as tf
from tensorflow.python.tools import optimize_for_inference_lib

pb_file = 'resnet_v2_101_299_frozen.pb'
graph_def = tf.compat.v1.GraphDef()

try:
    with tf.io.gfile.GFile(pb_file, 'rb') as f:
        graph_def.ParseFromString(f.read())
except:

dkurt

// g++ main.cpp -o out && ./out

#include <stdio.h>

class Counter {
public:
  Counter() : i(0) {}

  int next() {
    i += 1;

dkurt

from math import ceil

d = 2
h = 3
w = 4
scale_d = 3
scale_h = 3
scale_w = 2
c = 3

dkurt

curl -o GPG-PUB-KEY-INTEL-OPENVINO-2020 https://apt.repos.intel.com/openvino/2020/GPG-PUB-KEY-INTEL-OPENVINO-2020
apt-key add GPG-PUB-KEY-INTEL-OPENVINO-2020
echo "deb https://apt.repos.intel.com/openvino/2020 all main" | tee - a /etc/apt/sources.list.d/intel-openvino-2020.list
apt-get update
apt-get install -y --no-install-recommends intel-openvino-dev-ubuntu18

dkurt

node {
  name: "normalized_input_image_tensor"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {

dkurt

import numpy as np

from openvino.inference_engine import IENetwork, IECore
import cv2 as cv

PERSON_ID = 11

net = IENetwork('semantic-segmentation-adas-0001.xml', 'semantic-segmentation-adas-0001.bin')

ie = IECore()

dkurt

# This is the config to install Kubeflow on an existing k8s cluster.
# If the cluster already has istio, comment out the istio install part below.

apiVersion: kfdef.apps.kubeflow.org/v1alpha1
kind: KfDef
metadata:
  name: kubeflow_app
  namespace: kubeflow
spec:
  repos: