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OpenCV has implementations of specialized upscaling algorithms that todds currently does not support, which are described for example in here: https://towardsdatascience.com/deep-learning-based-super-resolution-with-opencv-4fd736678066. It should be possible to integrate these algorithms into the todds codebase and its pipeline.
Benchmarks and quality metrics: https://docs.opencv.org/4.x/dc/d69/tutorial_dnn_superres_benchmark.html
When upscaling is used, todds could use the original image as the first level mipmap, to minimize quality loss during mipmap calculations.
The text was updated successfully, but these errors were encountered:
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OpenCV has implementations of specialized upscaling algorithms that todds currently does not support, which are described for example in here: https://towardsdatascience.com/deep-learning-based-super-resolution-with-opencv-4fd736678066. It should be possible to integrate these algorithms into the todds codebase and its pipeline.
Benchmarks and quality metrics: https://docs.opencv.org/4.x/dc/d69/tutorial_dnn_superres_benchmark.html
When upscaling is used, todds could use the original image as the first level mipmap, to minimize quality loss during mipmap calculations.
The text was updated successfully, but these errors were encountered: