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Merge pull request #1459 from asimard1/master

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Add progress bar for SwinIR upscale in cmd
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AUTOMATIC1111 2022-10-02 15:35:55 +03:00 committed by GitHub
commit 46588c582d
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1 changed files with 14 additions and 11 deletions
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modules/swinir_model.py
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@ -5,6 +5,7 @@ import numpy as np
import torch import torch
from PIL import Image from PIL import Image
from basicsr.utils.download_util import load_file_from_url from basicsr.utils.download_util import load_file_from_url
from tqdm import tqdm
from modules import modelloader from modules import modelloader
from modules.paths import models_path from modules.paths import models_path
@ -122,18 +123,20 @@ def inference(img, model, tile, tile_overlap, window_size, scale):
E = torch.zeros(b, c, h * sf, w * sf, dtype=torch.half, device=device).type_as(img) E = torch.zeros(b, c, h * sf, w * sf, dtype=torch.half, device=device).type_as(img)
W = torch.zeros_like(E, dtype=torch.half, device=device) W = torch.zeros_like(E, dtype=torch.half, device=device)
for h_idx in h_idx_list: with tqdm(total=len(h_idx_list) * len(w_idx_list), desc="SwinIR tiles") as pbar:
for w_idx in w_idx_list: for h_idx in h_idx_list:
in_patch = img[..., h_idx: h_idx + tile, w_idx: w_idx + tile] for w_idx in w_idx_list:
out_patch = model(in_patch) in_patch = img[..., h_idx: h_idx + tile, w_idx: w_idx + tile]
out_patch_mask = torch.ones_like(out_patch) out_patch = model(in_patch)
out_patch_mask = torch.ones_like(out_patch)
E[ E[
..., h_idx * sf: (h_idx + tile) * sf, w_idx * sf: (w_idx + tile) * sf ..., h_idx * sf: (h_idx + tile) * sf, w_idx * sf: (w_idx + tile) * sf
].add_(out_patch) ].add_(out_patch)
W[ W[
..., h_idx * sf: (h_idx + tile) * sf, w_idx * sf: (w_idx + tile) * sf ..., h_idx * sf: (h_idx + tile) * sf, w_idx * sf: (w_idx + tile) * sf
].add_(out_patch_mask) ].add_(out_patch_mask)
pbar.update(1)
output = E.div_(W) output = E.div_(W)
return output return output