Safety vulnerability ID: 48591
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Deepcell 0.12.0rc2 and prior include a version of TensorFlow (2.8.0) with known vulnerabilities.
Latest version: 0.12.10
Deep learning for single cell image segmentation
🐛 Bug Fixes
<details>
<summary>Updated `deepcell_tracking.utils` to `deepcell.data.tracking` for importing `Track` and `concat_tracks` ulisrael (565)</summary>
What
* Updated the tracking notebook so `Track` and `concat_tracks` were imported from `deepcell.data.tracking`
Why
* The location of these files changed in the latest version of deepcell
</details>
🧰 Maintenance
<details>
<summary>Bump version to 0.11.1 msschwartz21 (585)</summary>
* Update copyright in `deepcell/_version.py` to 2022
</details>
<details>
<summary>Add option for graph attention layer to tracking model msschwartz21 (584)</summary>
What
* Exposes an option to use the graph attention layer `GATConv` from `spektral`
Why
* Allows us to test the impact of different graph layers on the tracking model
</details>
<details>
<summary>Update nuclear and cytoplasm segmentation models from the data-registry msschwartz21 (580)</summary>
* Updates nuclear segmentation model with the version created by https://github.com/vanvalenlab/data-registry/pull/188
* Update cytoplasm segmentation model with the version created by https://github.com/vanvalenlab/data-registry/pull/164
The same models have been uploaded to the deepcell-models bucket in GCP for deployment through the kiosk.
</details>
<details>
<summary>Build a Docker image and run tests in the container. willgraf (575)</summary>
What
* Add a new GitHub workflow to build a docker image and run the unit tests inside it.
Why
* This ensures that the docker images work as expected rather than relying solely on the tests passing in the test-runner environment.
</details>
<details>
<summary>Update README with TissueNet publication ngreenwald (571)</summary>
What
* Update the ReadMe with the link for the paper
Why
* I'll merge this in tomorrow AM once the link goes live
</details>
<details>
<summary><s>Revert to TensorFlow 2.5.1. willgraf (570)</s></summary>
What
* Revert TensorFlow version from 2.5.2 to 2.5.1. The patch is already able to be installed via `setup.py` and `requirements.txt`.
Why
* No 2.5.2 docker images are available, the patch can be installed via pip.
* Fixes 568
</details>
<details>
<summary><s>Update tensorflow in requirements.txt willgraf (567)</s></summary>
What
* Fix bug in 566 with missing change in requirements.txt
Why
* Finish update of base TensorFlow version.
</details>
<details>
<summary><s>Bump TF_VERSION to 2.5.2. willgraf (566)</s></summary>
What
* Update TF_VERSION used to [2.5.2](https://github.com/tensorflow/tensorflow/releases/tag/v2.5.2)
Why
* Fixes several vulnerabilities
</details>
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