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Firefly DL

Firefly DL

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Articles:

Knowledge Base

Firefly-DL Deep Learning Resources and Technical Documentation

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Application Note

How to Create Training Data for Deep Learning Classification

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Application Note

How to build your own stereo vision with FLIR machine vision cameras.

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Deep Learning

Troubleshooting Neural Network Conversion Errors

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Application Note

Getting Started with Firefly-DL in Linux

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Application Note

Understanding Buffer Handling

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Deep Learning

Neural Networks Supported by Neuro on the Firefly-DL

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Application Note

Diagnosing USB 3.1 Camera and Bus Errors

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Application Note

Training a classification model for Firefly-DL using TensorFlow framework

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Knowledge Base

Bogus warnings on non-Intel hosts

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Application Note

Using the Aravis GStreamer Source Plug-In

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Knowledge Base

Firefly Functionality Compared to Blackfly S

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Documents:

Datasheet
FFY-U3-16S2-DL Datasheet
Download
Drawing
Firefly S/DL CAD Drawings
Download
Imaging Specification
FFY-U3-16S2-DL EMVA Imaging Performance
Download
Installation Guide
FFY Installation Guide
Download
Quick Start Guide
FFY-U3 Getting Started
Download
Technical Reference
FFY-U3-16S2-DL Technical Reference
Download

Downloads:

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Software Download
Spinnaker SDK
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NeuroUtility
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Online Reference
Firefly DL Camera Resources (EMVA, installation guidance, CAD/drawings, datasheets, and technical reference features)
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Firmware Download
FFY-U3-16S2-DL Package for 1905.4.103.x Firmware
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Accessories:

Cables
USB 3.1 Locking Cable
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USB 3.1 Locking Cable (Cast Metal Connectors)
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GPIO Cables
GPIO Cable with 6-pin JST Connector for Firefly S/DL and BFS-BD
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Host Adapters
USB 3.1 Host Controller Card
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Tripod Adapters
Tripod Adapter for Firefly and Dragonfly S
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Media

On-camera deep learning & third generation Pregius – in action!
Introducing FLIR Firefly DL Inference Camera
Getting Started with the Firefly DL: Using the cat-dog inference network | FLIR Machine Vision
Getting Started with the Firefly DL: Using a newly-trained neural network | FLIR Machine Vision
Getting Started with Firefly DL: Detection with a pre-trained neural network | FLIR Machine Vision