simple_classifier_cpp_camera

Introduction

This application runs an inference on an image using GoogLeNet. Although the sample uses GoogLeNet as the default network, other classifier models can also be used.

The provided Makefile does the following

1. Downloads the Caffe prototxt file and makes few changes necessary to work with the Intel® Neural Compute Stick (NCS1/NCS2) and the OpenVINO toolkit (tested with version 2020.1).
2. Downloads and generates the required ilsvrc12 data.
3. Downloads the caffemodel weights file from the Open Model Zoo.
4. Compiles the model to an IR (Intermediate Representation) format file using the Model Optimizer. An IR is a static representation of the model that is compatitible with the OpenVINO Inference Engine API.
5. There is a run.py provided that does a inferences on a camera stream as an example on how to use the network using the OpenVINO Inference Engine C++ API.

Building the Example

To run the example code do the following :

1. Open a terminal and change directory to the sample base directory
2. Type the following command in the terminal: make all

Running the Example

To run the example code do the following :

1. Open a terminal and change directory to the sample base directory
2. Type the following command in the terminal: make run

Prerequisites

This program requires:

• 1 NCS device
• OpenVINO 2020.1 Toolkit
• OpenCV 3.3 with Video for Linux (V4L) support and associated Python bindings*.
• Web camera or USB camera.

*It may run with older versions but you may see some glitches such as the GUI Window not closing when you click the X in the title bar, and other key binding issues.

Note: All development and testing has been done on Ubuntu 16.04 on an x86-64 machine.

Makefile

Provided Makefile has various targets that help with the above mentioned tasks.

make run or make run_cpp

Runs the sample application.

make help

Shows available targets.

make all

Builds and/or gathers all the required files needed to run the application.

make data

Gathers all of the required data need to run the sample.

make deps

Builds all of the dependencies needed to run the sample.

make default_model

Compiles an IR file from a default model to be used when running the sample.

make install-reqs

Checks required packages that aren’t installed as part of the OpenVINO installation.

make uninstall-reqs

Uninstalls requirements that were installed by the sample program.

make clean

Removes all the temporary files that are created by the Makefile.

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