Update app.py

app.py

@@ -112,9 +112,6 @@ def inference(image, upscale, large_input_flag, color_fix):
 
 	model = set_safmn(upscale)
 
-	# img = cv2.imread(str(image), cv2.IMREAD_COLOR)
-	# print(f'input size: {img.shape}')
-
 	# img2tensor
 	y = np.array(image).astype(np.float32) / 255.
 	y = torch.from_numpy(np.transpose(y[:, :, [2, 1, 0]], (2, 0, 1))).float()
@@ -154,11 +151,6 @@ def inference(image, upscale, large_input_flag, color_fix):
 		output = np.transpose(output[[2, 1, 0], :, :], (1, 2, 0))
 	output = (output * 255.0).round().astype(np.uint8)
 	
-	# # save restored img
-	# save_path = f'results/out.png'
-	# cv2.imwrite(save_path, output)
-
-	# output = cv2.cvtColor(output, cv2.COLOR_BGR2RGB)
 	return image, Image.fromarray(output)