Table of contents
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Preparation
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Please refer here for the environment construction procedure.
Conversion
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Please refer to the following page for model conversion.
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AI model convert: ONNX(PyTorch)
Evaluate AI model
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The CV tool does not include a mechanism to evaluate the inference time, accuracy, etc. of the converted model.
Run the converted model on the i-PRO camera and evaluate it.
Inference time
Measure the time before and after the inference execution API Adam_AI_RunNet() call
precision
Evaluate the accuracy using the data obtained by the API / Adam_AI_GetOutput () that acquires the data of the output layer of the model.
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The CV tool includes a sample app that allows you to obtain inference time and output layer data for the converted model.
Preparing for the evaluation
Use the Chrome extension's ADAM OPERATION UI for evaluation.
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| Info |
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Product Number: Installation conditions for applications - FAQ - Development Partner Portal (En) (i-pro.com) |
DnnSdApp
Install the app
First, copy the DnnSdApp package (DnnSdApp_V0_4_ambaCV2X.ext) in the container to the host PC.
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Move to the Ext. software and install DnnSdApp.
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Change settings to match your rating model
Configure various settings with ADAM OPERATION UI.
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TftpServerIP：TFTP server address where models are stored
*Set if SD card is not used
Prepare evaluation images
Compress the images to be used for evaluation (dnn.tar.gz) .
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Folder configuration | Remarks | ||
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dnn/ | test_jpeg/ | yyy1.jpg | jpeg placement directory, file names are arbitrary File extension: ".jpg", ".jpeg", ".JPG", ".JPEG"
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yyy2.jpg | |||
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test_mp4/
| zzz1.mp4 | mp4 placement directory, file name to be deployed is arbitrary File ectension: ".mp4" | |
zzz2.mp4 | |||
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Upload images to DnnSdApp
Open the app screen and upload the image data.
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If the size of the image data (dnn .tar.gz) is larger than 70MB, place the dnn folder directly on the SD card. [SD Card]/dnn_sd_app/dnn/~~ |
Upload the model file to the app
Upload the model file.
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If you don't use an SD card, use a TFTP server to upload your model. Store the model file on a TFTP server (the same IP as the one set in AppPref), and then click the "Send" button to transfer the model to the camera. |
Run the app
After placing the model and image, click the "Start" button to start execution.
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Download the results
Once the run is complete, you can get the result file from the Download button.
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SsdSdApp
The operation is similar to DnnSdApp.
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