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Image-Enhancer / docs /ncnn_conversion.md

Rakesh Chavhan

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# Instructions on converting to NCNN models

Convert to onnx model with `scripts/pytorch2onnx.py`. Remember to modify codes accordingly
Convert onnx model to ncnn model
`cd ncnn-master\ncnn\build\tools\onnx`
`onnx2ncnn.exe realesrgan-x4.onnx realesrgan-x4-raw.param realesrgan-x4-raw.bin`
Optimize ncnn model
fp16 mode
        1. `cd ncnn-master\ncnn\build\tools`
        1. `ncnnoptimize.exe realesrgan-x4-raw.param realesrgan-x4-raw.bin realesrgan-x4.param realesrgan-x4.bin 1`
Modify the blob name in `realesrgan-x4.param`: `data` and `output`

	# Instructions on converting to NCNN models

	1. Convert to onnx model with `scripts/pytorch2onnx.py`. Remember to modify codes accordingly
	1. Convert onnx model to ncnn model
	1. `cd ncnn-master\ncnn\build\tools\onnx`
	1. `onnx2ncnn.exe realesrgan-x4.onnx realesrgan-x4-raw.param realesrgan-x4-raw.bin`
	1. Optimize ncnn model
	1. fp16 mode
	1. `cd ncnn-master\ncnn\build\tools`
	1. `ncnnoptimize.exe realesrgan-x4-raw.param realesrgan-x4-raw.bin realesrgan-x4.param realesrgan-x4.bin 1`
	1. Modify the blob name in `realesrgan-x4.param`: `data` and `output`