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Updating to work with latest ESRGAN repo #1

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Updating to work with latest ESRGAN repo #1

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11 changes: 5 additions & 6 deletions upscale.py
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Original file line number Diff line number Diff line change
@@ -1,13 +1,12 @@
import sys
import os.path
import glob
import cv2
import numpy
import torch
import architecture
import RRDBNet_arch as arch
import math

model_path = sys.argv[1] # models/RRDB_ESRGAN_x4.pth OR models/RRDB_PSNR_x4.pth
model_path = 'models/RRDB_ESRGAN_x4.pth' # models/RRDB_ESRGAN_x4.pth OR models/RRDB_PSNR_x4.pth
device = torch.device('cuda') # if you want to run on CPU, change 'cuda' -> cpu

inputDir = 'LR' # Input directory
Expand All @@ -17,7 +16,7 @@
upscalingAmount = 4 # Upscaling amount of the model

def upscaleImage( model, device, img ):
#Transpose
#Transpose
img = numpy.transpose( img[:, :, [2, 1, 0]], (2, 0, 1) )

imgTorch = torch.from_numpy( img ).float()
Expand All @@ -28,7 +27,7 @@ def upscaleImage( model, device, img ):
# Re-Transpose
return numpy.transpose(imgNumpy[[2, 1, 0], :, :], (1, 2, 0))

model = architecture.RRDB_Net( 3, 3, 64, 23, gc=32, upscale=4, norm_type=None, act_type='leakyrelu', mode='CNA', res_scale=1, upsample_mode='upconv')
model = arch.RRDBNet( 3, 3, 64, 23, gc=32)
model.load_state_dict( torch.load( model_path ), strict=True )
model.eval()
for k, v in model.named_parameters():
Expand Down Expand Up @@ -86,4 +85,4 @@ def upscaleImage( model, device, img ):
imgOutput = ( imgOutput * 255.0 ).round()

# Save result
cv2.imwrite( '{:s}/{:s}.png'.format( outputDir, filename ), imgOutput )
cv2.imwrite( '{:s}/{:s}_upscaled.png'.format( outputDir, filename ), imgOutput )