RKNN RealESRGAN
Deploy super resolution (RealESRGAN) to RK3588S with single python script and rknn model.
Install / Use
npx skills add Basicname/RKNN-RealESRGANInstalls into whichever agent you are using.
README
Deploy Real-ESRGAN to RK3588S with single python script and rknn model.
Usage:
python srknn.py image_path save_path
Convert Real-ESRGAN pytorch model to onnx:
- Clone and install Real-ESRGAN repo
- Run command
python3 pytorch2onnx.py --input <path-to-your-realesrgan-model> --params
Onnx to rknn:
from rknn.api import RKNN rknn = RKNN() rknn.config(target_platform='rk3588') rknn.load_onnx("realesrgan.onnx") rknn.build(do_quantization=False) rknn.export_rknn("realesrgan.rknn")
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