Deeptrack

Latest version: v1.7.0

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1.0.0

DeepTrack2 1 is a major release focusing on enhancing performance, stability, and the convenience of using DeepTrack.2
The main new functionalities include:
- Support for GPU-accelerated simulations.
- State-of-the-art methods for tracking and tracing objects.
- Flexile and consistent support for physical units.
- Many new feature classes for arithmetic and statistics.
- New neural network models, including graph neural networks and various generative networks.
- Significantly expanded interactions between features.

If you are already using DeepTrack2 (pypi version 0.x.x), updating to DeepTrack2 1.0.0 (pypi version 1.0.0) should be painless, as no change to your code is needed, if you have followed deprecation warnings.
There are two breaking changes:
- The deprecated operator + to chain features has been removed. It is now only possible using the >> operator.
- The deprecated operator ** to duplicate a feature has been removed. It is now only possible using the ^ operator.

Cite as:
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe.
"Quantitative Digital Microscopy with Deep Learning."
Applied Physics Reviews 8, 011310 (2021)

0.11.5

Cite as:
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe.
"Quantitative Digital Microscopy with Deep Learning."
Applied Physics Reviews 8, 011310 (2021)

0.11.3

Cite as:
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe.
"Quantitative Digital Microscopy with Deep Learning."
Applied Physics Reviews 8, 011310 (2021)

0.11.0

Cite as:
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe.
"Quantitative Digital Microscopy with Deep Learning."
Applied Physics Reviews 8, 011310 (2021)

0.7.4

Release date: 19 October 2020

Cite as:
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe.
"Quantitative Digital Microscopy with Deep Learning." arXiv:2010.08260

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