DeepTrack
@DeepTrackAI
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New stable release of DeepTrack2 1.5.6! https://t.co/bCtAKIA3WB PyPi 1.5.6 https://t.co/8BSHpN3Qti DeepTrack2 1.5.6 is a patch that fixed an issue with the endothelial_vs dataset and an issue with repeated oneof-features.
pypi.org
A deep learning oriented microscopy image simulation package
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New stable release of DeepTrack2 1.5.2! https://t.co/m2ZvWNK1IK PyPi 1.5.2 https://t.co/WZdHXeLwT4 DeepTrack2 1.5.2 is a patch with improvements to attention layers, new datasets to train GNNs and virtual staining NN, and improved Mie optics.
pypi.org
A deep learning oriented microscopy image simulation package
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LodeSTART. A new #deeplearning method based on DeepTrack is now published in @NatureComms It detects microscopic objects with sub-pixel accuracy from a single unlabeled image by exploiting roto-translational symmetries
Our new method to to train neural networks with a single image and without ground truth, @DeepTrackAI LodeSTAR, is published in @NatureComms Find out more https://t.co/Fb1pu5e1EW An effort led by @BMidtvedt
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New stable release of DeepTrack2 1.5.1! https://t.co/jFytHVnKJ1 PyPi 1.5.1 https://t.co/hYQFPqPPZb DeepTrack2 1.5.1 is a patch with some fixes to the Mie scatterers.
pypi.org
A deep learning oriented microscopy image simulation package
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DeepTrack2 1.5.0 includes: - a new time-distributed convolutional neural network model (TimeDistributedFullyConvolutional) - multi-input support for continuous generators - several improvements to the Mie physics simulation code - many other not-so-exciting bug fixes 2/2
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New stable release of DeepTrack2 1.5.0! https://t.co/JlgRSOPXK9 PyPi 1.5.0 https://t.co/EE3b6zilib DeepTrack2 1.5.0 is a minor release 1/2
pypi.org
A deep learning oriented microscopy image simulation package
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There are two breaking changes: 1. The deprecated operator + to chain features has been removed. It is now only possible using the >> operator. 2. The deprecated operator ** to duplicate a feature has been removed. It is now only possible using the ^ operator. 5/5
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If you are already using DeepTrack 2.0 (pypi version 0.x.x), updating to DeepTrack 2.1 (pypi version 1.0.0) should be painless, as no change to your code is needed, if you have followed deprecation warnings. 4/5
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4. Many new feature classes for arithmetic and statistics. 5. New neural network models, including graph neural networks and various generative networks. 6. Significantly expanded interactions between features. 3/5
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The main new functionalities include: 1. Support for GPU-accelerated simulations. 2. State-of-the-art methods for tracking and tracing objects. 3. Flexile and consistent support for physical units. 2/5
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DeepTrack 2.1.0.0 is now released! https://t.co/udwg2lY58m PyPI version 1.0.0 https://t.co/AhWkVcHyHr DeepTrack 2.1 is a major release focusing on enhancing performance, stability, and the convenience of using DeepTrack. 1/5
pypi.org
A deep learning oriented microscopy image simulation package
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DeepTrack 2.0.11.5 is now released (minor changes to align the GitHub and PyPI versions) https://t.co/qp8J4dJztz
github.com
Stable release of DeepTrack2 0.11.5 Release date: 29 January 2022 PyPi 0.11.5 https://pypi.org/project/deeptrack/0.11.5/ Cite as: Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Dan...
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DeepTrack 2.0.11.4 is now released fixing several bugs https://t.co/c62EXA4gQA
github.com
Minor bug-fixes for v2.0
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