Press 5 : ARM NN Demo
Press 6 : Basler Camera demo
Press 7 : Face Recognition using TensorFlow Lite demo
Press 8 : Object Recognition using Arm NN demo
Select: (1/2/3/4/5/6/7/8)
8
Welcome to Object Recognition using Arm NN demo
This is a demo to show how much accuracy in detecting an Object like Cat, Dog, Shark
This will pick the image from data folder and provides the accuracy of respective image
with this identity No.
List of Images with their identity is provided at
software/armnn/blob/branches/armnn_18_11/tests/TfLiteMobilenetQuantized-
Armnn/labels.txt
Please choose type of example method used in demo
Press 1: For File_Based Demo
Press 2: For MIPI Camera
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File_Based Object-Recognition Demo
*******Command Executing*******Detecting Object******Predicting Accuracy********
ArmNN v20190200
= Prediction values for test #0
Top(1) prediction is 208 with confidence: 90.0606%
Top(2) prediction is 206 with confidence: 0.0772798%
Top(3) prediction is 176 with confidence: 0.0398233%
Top(4) prediction is 60 with confidence: 0.020664%