Detecting Pests Using Pre-Trained SSD Models

Sergey L. Gladkiy

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16 Dec 2020CPOL4 min read

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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 ◁ Prev View All Next ▷

License

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

Written By

Sergey L. Gladkiy

Team Leader VIPAKS

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.

Detecting Pests Using Pre-Trained SSD Models

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