Download Fixed Edsr-x3.pb May 2026

cv2.imwrite('superres.png', cv2.cvtColor(sr, cv2.COLOR_RGB2BGR))

[1] Lim, B., et al. "Enhanced deep residual networks for single image super-resolution." CVPRW 2017. [2] TensorFlow Model Export Guide – SavedModel to .pb. Download Fixed Edsr-x3.pb

The EDSR architecture [1], known for removing batch normalization layers for better performance, is widely used for upscaling images by factors of 2, 3, and 4. The x3 variant performs 3× super-resolution. However, naively converted .pb files often contain hardcoded input dimensions or broken rescaling nodes. The "fixed" version corrects these issues, accepting variable input sizes and properly outputting RGB images. cv2.COLOR_RGB2BGR)) [1] Lim

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