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Segmentation new ai (#29)
* feat: add ultralytics and ipykernel dependencies; update .gitignore for data files
* feat: replace U2NET with YOLO for object detection; refactor segmentation pipeline
* fix: correct default class name from "logs" to "log" in polygon point extraction
* fix: jupyter now ready
* refactor: update Config class to use Path for file paths and improve type hints
* feat: update YOLO detection function to return object masks and improve logging
* fix: update model path in test for YOLO segmentation
* feat: enhance mask application to support multiple polygons and save output image
* fix: update model path in README for tree-disk-segmentation
* refactor: update run function to return masks instead of polygon points and streamline image processing
* feat: update launch configuration to use YOLO model and add debug options for segmentation
* chore: bump version to 0.2.0 in pyproject.toml
* fix: update output directory in README examples for clarity
* docs: update README to clarify segmentation output and parameters
* test: update test to assert masks instead of result for tree disk segmentation
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Co-authored-by: MEISSTO <tony.meissner@mercedes-benz.com>