Table of contents
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Introduction
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This explanation assumes that the i-PRO camera application development environment has been completed.
If you are not ready to build the development environment, please refer to here to complete it.
Also, in this tutorial, the SDK installation directory is described as を ${SDK_DIR}.
Operation overview
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yuv_ssd_app is a sample application that draws object names and frames on the model on the camera.
External libraries required for operation
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No special mention.
Directory path of the sample app
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The C/C++ source code is stored below.
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${SDK_DIR}/src/adamapp-py/yuv_ssd_app
Use of AI model conversion tool
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Before building the sample app, you need to use the AI model conversion tool.
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AI model convert tool: Tensorflow - Technology Partner FAQ (En) - Confluence (atlassian.net)
How to build the sample app (C/C++)
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Load the build environment settings file in the SDK installation directory.
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If the image of the camera is displayed, it is successful.
How to build the sample app (Python)
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Load the build environment settings file in the SDK installation directory.
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If the image of the camera is displayed, it is successful.
How to use the sample app
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| Info |
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The default resolution of the sample app is 1920×1080. It will not work if the camera resolution setting is not 1920x1080. Please see below for details. Fail to call ADAM_DevYcVideo_Create() - Technology Partner FAQ (En) - Confluence (atlassian.net) |
When you show a TV monitor, sofa, etc. on the camera, the object name and frame are drawn on the corresponding model. Try it yourself.
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Appendix
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How to change preferences
This application has some preferneces which a user is able to change.
When changing some preferneces, push "AppPrefs" button in "ADAM OPERATION UI" html page.
Resoultion:
Resolution to get YUV images. Specfify HD(1280x720) or FHD(1920x1080).
However, by the ability of the camera, it may not work with the specified value.Frame rate:
Frame rate to get YUV images. Specify 1 or more.
However, by the ability of the camera, it may not work with the specified value.
How to change AI model
Please replace
data_CV2X/cnn/mobilenetv1_ssd_cavalry.bin
data_CV2X/cnn/mobilenet_priorbox_fp32.bin
and
data_CV5X/cnn/mobilenetv1_ssd_cavalry.bin
data_CV5X/cnn/mobilenet_priorbox_fp32.bin
with your model.Please change the following part of main.cpp according to your model.
#define OUTSIZE_HEIGHT<Input height of your model>
#define OUTSIZE_WIDTH<Input width of your model>
#define NETNAME<File name of your model>
#define PRIORBOXFILE<File name of prior box>
#define LAYERNAMEIN<Input layer name of your model>
#define LAYERNAMEOUT_MBOX_LOC<Output layer name of your model to indicate boundary box location>
#define LAYERNAMEOUT_MBOX_CONF_FLATTEN<Output layer name of your model to indicate boundary box confidence>
#define PROPERTY_NUMCLASSES<Number of classes including background label>
#define PROPERTY_MBOXLOCSIZE<Number of boundary boxes * 4> : 4 means (x,y,w,h)
#define PROPERTY_BACKGROUND_LABEL_ID<Background label id>
Following parameters are valid only for tensorflow SSD. For caffe SSD, please set these values to 0.
#define X_SCALE<X scale value>
#define Y_SCALE<Y scale value>
#define WIDTH_SCALE<Width scale value>
#define HEIGHT_SCALE<Height scale value>Please describe "objectname" (label-objectname matrix) according to your model.
Port in use
This application uses 8081 port for websocket communication.
License
MIT License
Copyright (c) 2018 chuanqi305
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