Update app.py

app.py

@@ -114,8 +114,8 @@ def inference(image, upscale, large_input_flag, color_fix):
 
 	# img2tensor
 	y = np.array(image).astype(np.float32) / 255.
-	# y = torch.from_numpy(np.transpose(y[:, :, [2, 1, 0]], (2, 0, 1))).float()
-	y = torch.from_numpy(np.transpose(y, (2, 0, 1))).float()
+	y = torch.from_numpy(np.transpose(y[:, :, [2, 1, 0]], (2, 0, 1))).float()
+	# y = torch.from_numpy(np.transpose(y, (2, 0, 1))).float()
 	y = y.unsqueeze(0).to(device)
 
 	# inference
@@ -148,8 +148,8 @@ def inference(image, upscale, large_input_flag, color_fix):
 		output = wavelet_reconstruction(output, y)
 	# tensor2img
 	output = output.data.squeeze().float().cpu().clamp_(0, 1).numpy()
-	# if output.ndim == 3:
-	# 	output = np.transpose(output[[2, 1, 0], :, :], (1, 2, 0))
+	if output.ndim == 3:
+		output = np.transpose(output[[2, 1, 0], :, :], (1, 2, 0))
 	output = (output * 255.0).round().astype(np.uint8)
 	
     # # save results