| Collecting webrtcvad (from -r requirements.txt (line 3)) | |
| Using cached https://files.pythonhosted.org/packages/89/34/e2de2d97f3288512b9ea56f92e7452f8207eb5a0096500badf9dfd48f5e6/webrtcvad-2.0.10.tar.gz | |
| Requirement already satisfied: numpy>=1.13.3 in c:\python36\lib\site-packages (from pandas->-r requirements.txt (line 1)) | |
| Requirement already satisfied: python-dateutil>=2.6.1 in c:\python36\lib\site-packages (from pandas->-r requirements.txt (line 1)) | |
| Requirement already satisfied: pytz>=2017.2 in c:\python36\lib\site-packages (from pandas->-r requirements.txt (line 1)) | |
| Requirement already satisfied: six>=1.5 in c:\python36\lib\site-packages (from python-dateutil>=2.6.1->pandas->-r requirements.txt (line 1)) | |
| Installing collected packages: webrtcvad | |
| Running setup.py install for webrtcvad ... error | |
| Complete output from command C:\Python36\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\dkurtaev\\AppData\\Local\\Temp\\pip-build-961ir8ti\\webrtcvad\\setup.py';f=getattr(tokenize, 'open', o |
"C:\Program Files (x86)\IntelSWTools\openvino\bin\setupvars.bat"
| # 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: |
| 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() |
| node { | |
| name: "normalized_input_image_tensor" | |
| op: "Placeholder" | |
| attr { | |
| key: "dtype" | |
| value { | |
| type: DT_FLOAT | |
| } | |
| } | |
| attr { |
| 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 |
| from math import ceil | |
| d = 2 | |
| h = 3 | |
| w = 4 | |
| scale_d = 3 | |
| scale_h = 3 | |
| scale_w = 2 | |
| c = 3 |
| // g++ main.cpp -o out && ./out | |
| #include <stdio.h> | |
| class Counter { | |
| public: | |
| Counter() : i(0) {} | |
| int next() { | |
| i += 1; |
| 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: |
This page contains a guide of how to add OpenCV into Android Studio Project