From 6495a5c324affbe1abb7ea07e0cddfdfb97833ea Mon Sep 17 00:00:00 2001 From: narugo1992 Date: Fri, 13 Oct 2023 14:31:24 +0800 Subject: [PATCH] dev(narugo): add upscale --- imgutils/upscale/cdc.py | 17 +++++++++++-- imgutils/utils/area.py | 4 +-- test/testfile/surtr_logo_2x.png | Bin 0 -> 888184 bytes test/testfile/surtr_logo_4x.png | Bin 0 -> 2534963 bytes test/testfile/surtr_logo_small_2x.png | Bin 0 -> 82187 bytes test/testfile/surtr_logo_small_4x.png | Bin 0 -> 236930 bytes test/upscale/__init__.py | 0 test/upscale/conftest.py | 14 +++++++++++ test/upscale/test_cdc.py | 34 ++++++++++++++++++++++++++ 9 files changed, 65 insertions(+), 4 deletions(-) create mode 100644 test/testfile/surtr_logo_2x.png create mode 100644 test/testfile/surtr_logo_4x.png create mode 100644 test/testfile/surtr_logo_small_2x.png create mode 100644 test/testfile/surtr_logo_small_4x.png create mode 100644 test/upscale/__init__.py create mode 100644 test/upscale/conftest.py create mode 100644 test/upscale/test_cdc.py diff --git a/imgutils/upscale/cdc.py b/imgutils/upscale/cdc.py index 342906a6be8..4ce9e2a0b9e 100644 --- a/imgutils/upscale/cdc.py +++ b/imgutils/upscale/cdc.py @@ -27,6 +27,9 @@ def _open_cdc_upscaler_model(model: str) -> Tuple[Any, int]: return ort, scale_h +_CDC_INPUT_UNIT = 16 + + def upscale_with_cdc(image: ImageTyping, model: str = 'HGSR-MHR-anime-aug_X4_320', tile_size: int = 512, tile_overlap: int = 64, batch_size: int = 1, silent: bool = False) -> Image.Image: @@ -37,9 +40,19 @@ def upscale_with_cdc(image: ImageTyping, model: str = 'HGSR-MHR-anime-aug_X4_320 ort, scale = _open_cdc_upscaler_model(model) def _method(ix): - ox, = ort.run(['output'], {'input': ix.astype(np.float32)}) + ix = ix.astype(np.float32) + batch, channels, height, width = ix.shape + p_height = 0 if height % _CDC_INPUT_UNIT == 0 else _CDC_INPUT_UNIT - (height % _CDC_INPUT_UNIT) + p_width = 0 if width % _CDC_INPUT_UNIT == 0 else _CDC_INPUT_UNIT - (width % _CDC_INPUT_UNIT) + if p_height > 0 or p_width > 0: # align to 16 + ix = np.pad(ix, ((0, 0), (0, 0), (0, p_height), (0, p_width)), mode='reflect') + actual_height, actual_width = height, width + + ox, = ort.run(['output'], {'input': ix}) batch, channels, scale_, height, scale_, width = ox.shape - return ox.reshape((batch, channels, scale_ * height, scale_ * width)) + ox = ox.reshape((batch, channels, scale_ * height, scale_ * width)) + ox = ox[..., :scale_ * actual_height, :scale_ * actual_width] # crop back + return ox output_ = area_batch_run( input_, _method, diff --git a/imgutils/utils/area.py b/imgutils/utils/area.py index d7671f3ac1c..b99c2cd486e 100644 --- a/imgutils/utils/area.py +++ b/imgutils/utils/area.py @@ -48,8 +48,8 @@ def area_batch_run(origin_input: np.ndarray, func, scale: int = 1, tile = min(tile_size, height, width) stride = tile - tile_overlap - h_idx_list = list(range(0, height - tile, stride)) + [height - tile] - w_idx_list = list(range(0, width - tile, stride)) + [width - tile] + h_idx_list = sorted(set(list(range(0, height - tile, stride)) + [height - tile])) + w_idx_list = sorted(set(list(range(0, width - tile, stride)) + [width - tile])) sum_ = np.zeros((batch, output_channels, height * scale, width * scale), dtype=origin_input.dtype) weight = np.zeros_like(sum_, dtype=origin_input.dtype) diff --git a/test/testfile/surtr_logo_2x.png b/test/testfile/surtr_logo_2x.png new file mode 100644 index 0000000000000000000000000000000000000000..3d417c86101bae5d6199799ce348796fb937435a GIT binary patch literal 888184 zcmV)2K+M01P)O>LD4z+Or$S~e1l#uxp#~7YV$GQcG071qG0GQ;ByHl?V z0S&;An$@8rPXI_j;E9O9V@2-q{_H0oz4IqO{qDz)?^V!VTwVV9+3P?1)sw&a{Mm&k z?J-qBg0Y|d7FX`p63)lkM%==njS`z3C7(`&q_6?h!|cCn5kqBIkX*-8@>(-(Sr3+qPP-KYVoZ)8F~@ z8}Ht)f$FMu0FHpXr_SLckgFQNv+efJe(~G?$Irg_;%4P5N0n;{i3mG?IH<-YcZ%61 zH#{8@Q2re2_T3bitbh2^yXcqb35iYu>+>Ct{j)$f{-68bT3t--Ha$N`3k;p&$YQ5&={I zfJi_HNB~F+@E<=s{1-p?#<$bUu*{YI52c zk-;5s_U@iQr4}WYmi=kaU>TH#glm-ne?8<_PzVsS`hv_maz~Ii+@AMBb(yL0B)^g~ 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assert psnr( + upscale_with_cdc(sample_image_small, model='HGSR-MHR_X2_1680') + .resize(sample_image.size, Image.LANCZOS), + sample_image, + ) >= 28.0

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