Lsnms

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- Fixed issue 22 by releasing Numpy lock.

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- Fixed issue https://github.com/remydubois/lsnms/issues/19, by referencing the indicies from the score_mask array

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- Dropped support to python 3.7
- Better handling of the dev dependencies in the setup file
- Compatible with python 3.10
- Supports Numpy 1.24

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- Fixed issue https://github.com/remydubois/lsnms/issues/12, by masking scores as well as boxes.
- Added torch and torchvision as proper dev dependencies
- Fixed Pillow version (dev dep) to 9.3.0 in dev dependencies because 9.4.0 does not compile on my mbp (see https://github.com/python-pillow/Pillow/issues/6862)
- Removed deprecated arguments: `cutoff_distance` and `tree`. Removed associated tests.
- Added sanity check to ensure `leaf_size` is strictly positive.

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- Edge case where all box scores are zero (or all below threshold) is now handled (threw uggly error before)

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- Added multiclass support for NMS
- Use the underlying RNode class in nms now, which speeds up compilation (no need to compile RTree anymore)