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Detecting Pests Using Pre-Trained SSD Models

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16 Dec 2020CPOL4 min read
In the next article, we’ll use a pre-trained DNN to detect pests on video.
Here we give very short instructions on how to use pretrained MobileSSD model to detect objects. We then provide and explain Python code for detecting animals on video using the SSD model. Finally we demonstrate the detection result on a video file for some animal type (that the SSD model is able to detect).

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This article is part of the series 'Real-time AI Pest Elimination on Edge Devices View All

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Team Leader VIPAKS
Russian Federation Russian Federation
EDUCATION:

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.



PROFESSIONAL EXPERIENCE:

15 years’ experience in developing scientific programs
(C#, C++, Delphi, Java, Fortran).



SCIENTIFIC INTERESTS:

Mathematical modeling, symbolic computer algebra, numerical methods, 3D geometry modeling, artificial intelligence, differential equations, boundary value problems.

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