Deepforest

Latest version: v1.5.2

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1.1.3

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- **Enhancement:** Added box coordinates to the evaluation results frame for better result tracking.

1.1.2

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- **Bug Fix:** Fixed incorrect precision calculation in ``class_recall.csv`` when multiple classes were present.

1.1.1

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- **Update:** ``project_boxes`` now includes output options for both ``predict_tile`` and ``predict_image``.
- **New Feature:** Introduced ``annotations_to_shapefile``, which reverses ``shapefile_to_annotations`` functionality.
Thanks to sdtaylor for this contribution.

1.1.0

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1. **Enhancement:** Empty frames are now allowed by passing annotations with 0's for all coordinates. Example format:
::

image_path, 0, 0, 0, 0, "Tree"

2. **New Feature:** Introduced ``check_release`` to reduce GitHub rate limit issues. When using ``use_release()``, the local model will be used if ``check_release = False``.

1.0.9

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- **Enhancement:** Improved default dtype for Windows users, thanks to ElliotSalisbury for the contribution.

1.0.0

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- **Major Update:** Transitioned from TensorFlow to a PyTorch backend, enhancing performance and flexibility.

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