How to check model summary? #139

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claunia · 2026-01-29T21:43:37Z

claunia commented

2026-01-29 21:43:37 +00:00

Originally created by @neso613 on GitHub (Dec 27, 2021).

I have installled and downloaded the model and run it- it worked.
Now, when I checked model summary, using this

restorer = GFPGANer(
model_path=args.model_path,
upscale=args.upscale,
arch=args.arch,
channel_multiplier=args.channel,
bg_upsampler=bg_upsampler)
print("\n\n...",restorer,'\n\n')

I got----> <gfpgan.utils.GFPGANer object at 0x7f8758589a90>
How to check model summary,input/output details?

Originally created by @neso613 on GitHub (Dec 27, 2021). I have installled and downloaded the model and run it- it worked. Now, when I checked model summary, using this > restorer = GFPGANer( model_path=args.model_path, upscale=args.upscale, arch=args.arch, channel_multiplier=args.channel, bg_upsampler=bg_upsampler) print("\n\n...",restorer,'\n\n') **I got----> <gfpgan.utils.GFPGANer object at 0x7f8758589a90>** How to check model summary,input/output details?

claunia commented

2026-01-29 21:43:39 +00:00

@xinntao commented on GitHub (Jan 8, 2022):

The restorer = GFPGANer(... is an encapsulated class.

You can check the network arch from the source codes: https://github.com/TencentARC/GFPGAN/tree/master/gfpgan/archs
You can check the input/output by printing their shapes.

@xinntao commented on GitHub (Jan 8, 2022): The `restorer = GFPGANer(...` is an encapsulated class. 1. You can check the network arch from the source codes: https://github.com/TencentARC/GFPGAN/tree/master/gfpgan/archs 2. You can check the input/output by printing their shapes.

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Reference: TencentARC/GFPGAN#139