1.3.12

Release Notes for Laypa Version 1.3.11-1.3.12

Date: 2024-3-22

Overview

Bug fixes for squarelines and AMP. Duplication detection in preprocessing

New Features

• Duplication detection based on filename: Detect duplicates and where the are coming from. Also useful to see overlap in GT datasets (if names are meaningful)

Enhancements

• Fix issue with color drawing of square lines: Panoptic segmentation with square lines is now supported
• Fix top bottom drawing in: bug made all previously drawn lines part of the top bottom calculation
• Fix typo that prevented AMP during training: See Deprecations and Removals for how to use it

Deprecations and Removals

• AMP is turned off by default: Users experience issues with bfloat16. To prevent multiple people coming with this question the AMP has been turned off. To turn it back on for training and inference use MODEL.AMP_TRAIN.ENABLED and MODEL.AMP_TEST.ENABLED respectively.

Known Issues

• None

Docker Image

The Docker image for version 1.3.12 can be obtained using the following command:

docker pull loghi/docker.laypa:1.3.12

Contributors

• @stefanklut: All

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Full Changelog: 1.3.10...1.3.12

1.3.10

Release Notes for Laypa Version 1.3.9-1.3.10

Date: 2024-2-2

Overview

Automatic Mixed Precision, squaring of lines, API update, and fixing weird OOM stuff

New Features

• Automatic Mixed Precision: Added optional arguments to use Automatic Mixed Precision (AMP) during training and inference. Current default casting has been set to bfloat16
• Square Lines: Added option to draw square lines. First drawing in lines and retroactively assigning what pixels are part of the beginning and end of the baseline. See Known Issues

Enhancements

• API health point: Check if API has not crashed
• Improvement to resume training method: Only requires a config file now, infers the checkpoint from the config
• OOM Error handeling: Remove traceback from error to prevent OOM from crashing the full program

Deprecations and Removals

• None

Known Issues

• Square Lines for training pano: Currently broken, but already fixed in next release cycle

Docker Image

The Docker image for version 1.3.10 can be obtained using the following command:

docker pull loghi/docker.laypa:1.3.10

Contributors

• @TimKoornstra: OOM error and most of the AMP setup/testing
• @stefanklut: The rest

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Full Changelog: 1.3.8...1.3.10

1.3.8

Release Notes for Laypa Version 1.3.8

Date: 2024-1-18

Overview

Refactor XMLConverter and OutputPageXML

New Features

• New region config files: New region configs for rekesten (Republic)

Enhancements

• Pull out XMLRegions as seperate class: Rewrite inner workings of XMLRegions
• XMLRegions as input of XMLConverter: Change to use class
• XMLRegions as input of OutputPageXML: Change to use class
• Fix config file: Typo in config made it not work

Deprecations and Removals

• None

Docker Image

The Docker image for version 1.3.8 can be obtained using the following command:

docker pull loghi/docker.laypa:1.3.8

Contributors

• @MMaas3: Initial refactor
• @stefanklut: The rest

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Full Changelog: 1.3.7...1.3.8

1.3.7

Release Notes for Laypa Version 1.3.7

Date: 2023-12-22

Overview

Fixing UUID and githash issue

New Features

• Crop: Crop image and sem_seg
• Orientation: Change the orientation of an image by order of 90 degrees
• Rectangle around regions: Convert sem_seg predictions to rotated rectangles (for example for the
• Eval model without GT: Look at prediction results without having the GT present

Enhancements

• Better Error handeling: Actual error message that were missing for some errors
• Remove sklearn dependency: Save some space on install
• Better docstrings: Update and add many docstrings
• Use correct affine tranform: use cv2 to match what the coords function was doing

Deprecations and Removals

• None

Docker Image

The Docker image for version 1.3.7 can be obtained using the following command:

docker pull loghi/docker.laypa:1.3.7

Contributors

• @MMaas3: Initial rectangle for photos code
• @stefanklut: The rest

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Full Changelog: 1.3.6...1.3.7

1.3.6

Release Notes for Laypa Version 1.3.5-1.3.6

Date: 2023-12-11

Overview

Fixing UUID and githash issue

New Features

• Exif: Handle Exif rotation when loading in images

Enhancements

• Fix loading issues Mask2Former: Currently running correctly, with known issue that annotations must have at least one instance
• Saving images issue resolved: Models trained with this bug may need to be changed to "BGR" INPUT
• Fix dataset reloading during validation: Ground truth can now be moved during training, preprocess now links images when not resized

Deprecations and Removals

• Saving images issue resolved: Models trained with this bug may need to be changed to "BGR" INPUT

Docker Image

The Docker image for version 1.3.6 can be obtained using the following command:

docker pull loghi/docker.laypa:1.3.6

Contributors

• @stefanklut: Only maintainer currently

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Full Changelog: 1.3.4...1.3.6

1.3.4

Release Notes for Laypa Version 1.3.1-1.3.4

Date: 2023-11-22

Overview

Fixing UUID and githash issue

New Features

• Write info to pageXML Take over functionality from loghi-tooling to write UUID and githash to pageXML. TURN OFF -laypaconfig in loghitooling.
• Add whitelist Whitelist can take multiple joined (by dot) keys (e.g. MODEL.BACKBONE).
  To call whitelist add them to the API call using whitelist as argument. For each item whitelisted add a seperate form entry.
  Example: -F whitelist=MODEL -F whitelist=INPUT
  For run.py use the command line argument --whitelist or -w.
  Example --whitelist MODEL or -w MODEL INPUT for 2 whitelisted items

Enhancements

• Fix githash Get githash from inference code

Deprecations and Removals

• None

Docker Image

The Docker image for version 1.3.4 can be obtained using the following command:

docker pull loghi/docker.laypa:1.3.4

Contributors

• @stefanklut: Only maintainer currently

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Full Changelog: 1.3.0...1.3.4

1.3.0

Release Notes for Laypa Version 1.3.0

Date: 2023-11-14

Overview

Top bottom split for baselines, and many quality of code improvements

New Features

• Top-Bottom: Split baseline in top bottom, based on pixel location in relation to line segments
• Github Action Black: Auto-formatting on push and pull request

Enhancements

• Pillow supported image formats: Single location for all image formats, retrieved directly from Pillow
• Loading without all methods implemented: When running the code, now able to not have all types supported (top-bottom only does sem-seg) and not crash
• Load in RGB: Change loading to use normal RGB (WARNING: if using old configs that don't specify everything, this might break something. All configs from training output should still work. normal baseline_dataset.yaml will not work with old weights.)
• Speed-up Overwrite check: Don't load entire json to check image size for speedup + Overwrite when changing modes
• Warn for overlapping baselines: During pre-processing
• Change Conversion Method: Other method for converting to numpy for more supported image formats. Solves alpha channel problem for example.

Deprecations and Removals

• Load in RGB: Change loading to use normal RGB (WARNING: if using old configs that don't specify everything, this might break something. All configs from training output should still work. normal baseline_dataset.yaml will not work with old weights.)
• INPUT.SCALING: DeprecationWarning INPUT.SCALING is losing support; please switch to INPUT.SCALING_TRAIN and INPUT.SCALING_TEST

Docker Image

The Docker image for version 1.3.0 can be obtained using the following command:

docker pull loghi/docker.laypa:1.3.0

Contributors

• @stefanklut: Only maintainer currently

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Full Changelog: 1.2.10...1.3.0

1.2.10

Release Notes for Laypa Version 1.2.6-1.2.10

Date: 2023-10-27

Overview

Refactor and image loading changes

New Features

• Case insensitive file extensions: Support for (for example) .PNG .JPG
• Direct loading tensors: Load png and jpg directly to tensor (not currently on due to tiff support being required)

Enhancements

• More accurate status codes API: Updated status code to more accurately reflect the error type
• Model loading location: Load during inference not during /predict
• Bugfix loading model during training: Correctly load model to start training from previous step (TRAIN.WEIGHTS)
• Refactor xml_converter: Move critical conversion parts to this file instead of the pageXML format
• Standardize formatting: Following black formatter for python

Deprecations and Removals

• None

Docker Image

The Docker image for version 1.2.10 can be obtained using the following command:

docker pull loghi/docker.laypa:1.2.10

Contributors

• @stefanklut: Only maintainer currently

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Full Changelog: 1.2.5...1.2.10

1.2.5

Release Notes for Laypa Version 1.2.4-1.2.5

Date: 2023-10-16

Overview

Minor docker bug and documentation

New Features

• None

Enhancements

• Update Documentation: Add function descriptions and type hints to help people understand the code
• Minor bugfixes: Some missed changes when dealing with configs other than the basic configs
• Fix Docker: Get docker with cuda working again after breaking due to update

Deprecations and Removals

• None

Docker Image

The Docker image for version 1.2.5 can be obtained using the following command:

docker pull loghi/docker.laypa:1.2.5

Contributors

• @stefanklut: Only maintainer currently

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Full Changelog: 1.2.3...1.2.5

1.2.3

Release Notes for Laypa Version 1.2.3

Date: 2023-10-03

Overview

This version improves pre-processing speed, adds a scaling option for resizing and reading out NVIDIA Env extraction.

New Features

• Automatic NVIDIA Env extraction: Get info like cudatoolkit version and GPU used. Used for debugging and README.md
• Scaling Resize: Scale input images based on a percentage. Used in both pre-processing, training and inference.

Enhancements

• Faster Pre-processing: If no resize occurs use sym/hard links to save memory and processing time.

Deprecations and Removals

• Pre-process Resize Flag: PREPROCESS.RESIZE.USE = False Is currently no longer the method to change resizing. Please use PREPROCESS.RESIZE.RESIZE_MODE = "none"

Docker Image

The Docker image for version 1.2.3 can be obtained using the following command:

docker pull loghi/docker.laypa:1.2.3

Contributors

• @stefanklut: Only maintainer currently

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