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removed dates from the release notes and fixed index docs text
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docs/changelog.md

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@@ -7,7 +7,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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## [0.1.0a7] - 2025-12-12
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## [0.1.0a7]
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### Added
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- **Dtype preservation**: `VideoReader` and `compensate_recording` pipeline now preserve the input file dtype. Averaging for binning changed dtypes to float in the readers.
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- **BigTIFF**: tiff writers properly use the bigtiff property now.
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## [0.1.0a6] - 2025-11-06
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## [0.1.0a6]
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- Batch size parameter confusion (removed unused parameter from RegistrationConfig)
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- Thread oversubscription in multiprocessing executor (now sets thread limits)
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## [0.1.0a5] - 2025-10-23
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## [0.1.0a5]
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docs/index.md

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# PyFlowReg
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**Variational Optical Flow for 2-Photon Microscopy**
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**Python implementation and extension of the Flow-Registration approach for motion correction of 2-photon microscopy videos**
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## Documentation Status
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This documentation is currently **largely AI-generated** and under active development. While we strive for accuracy:
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This documentation has been generated with **AI-assistance** and is under active development. While we strive for accuracy:
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- Some sections may contain errors or outdated information
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- Not all features may be fully documented

examples/injection_session_demo.py

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# injection_0: shifted by -50, -50 (left, up)
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print(" Creating injection_0.tif (shift -50, -50)...")
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video_0 = create_shifted_video(video, shift_x=-50, shift_y=-50, crop_border=50)
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video_0 = 256 * video_0.astype(np.uint16)
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# injection_1: original, cropped
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print(" Creating injection_1.tif (original, cropped)...")
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video_1 = video[:, 50:-50, 50:-50, :]
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video_1 = 256 * video_1.astype(np.uint16)
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# injection_2: shifted by +50, +50 (right, down)
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print(" Creating injection_2.tif (shift +50, +50)...")
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video_2 = create_shifted_video(video, shift_x=50, shift_y=50, crop_border=50)
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video_2 = 256 * video_2.astype(np.uint16)
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print(f" Shifted video shapes: {video_0.shape}, {video_1.shape}, {video_2.shape}")
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