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## What's new
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## What's new
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### December 2020
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New release [v0.20.7](https://github.com/introlab/rtabmap/releases/tag/0.20.7)!
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### August 2020
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New release [v0.20.3](https://github.com/introlab/rtabmap/releases/tag/0.20.3)!
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### July 2020
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New release [v0.20.2](https://github.com/introlab/rtabmap/releases/tag/0.20.2)!
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### November 2019
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### November 2019
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* [AliceVision](https://alicevision.org/) library has been integrated to RTAB-Map to provide higher texture quality. Compare the [updated version of the Ski Cottage on Sketchfab](https://skfb.ly/6OyUy) with the [old version](https://skfb.ly/6KBFz). Look at how the edges between camera texures are smoother (thx to multi-band blending), decreasing significantly the sharp edge artifacts. Multi-band blending approach can be enabled in File->Export Clouds dialog under Texturing section. RTAB-Map should be built with AliceVision support (CUDA is not required as only texture pipeline is used). A [patch](https://gist.github.com/matlabbe/469bba5e7733ad6f2e3d7857b84f1f9e) is required to avoid problems with Eigen, refer to Docker file [here](https://github.com/introlab/rtabmap/blob/e7be12e0ff7ae95e492837f0414d553c977d6d4d/docker/bionic/Dockerfile#L69-L116).
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* [AliceVision](https://alicevision.org/) library has been integrated to RTAB-Map to provide higher texture quality. Compare the [updated version of the Ski Cottage on Sketchfab](https://skfb.ly/6OyUy) with the [old version](https://skfb.ly/6KBFz). Look at how the edges between camera texures are smoother (thx to multi-band blending), decreasing significantly the sharp edge artifacts. Multi-band blending approach can be enabled in File->Export Clouds dialog under Texturing section. RTAB-Map should be built with AliceVision support (CUDA is not required as only texture pipeline is used). A [patch](https://gist.github.com/matlabbe/469bba5e7733ad6f2e3d7857b84f1f9e) is required to avoid problems with Eigen, refer to Docker file [here](https://github.com/introlab/rtabmap/blob/e7be12e0ff7ae95e492837f0414d553c977d6d4d/docker/bionic/Dockerfile#L69-L116).
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