Fix GC not collecting after job done.

Weird.

Signed-off-by: net2cn <[email protected]>

Real-ESRGAN_GUI/MainWindow.xaml.cs

@@ -112,6 +112,7 @@ private async void StartButton_ClickAsync(object sender, RoutedEventArgs e)
             }
 
             model.Dispose();
+            GC.Collect();
             StartButton.IsEnabled = true;
             CancelButton.IsEnabled = true;
         }

Real-ESRGAN_GUI/Model.cs

@@ -47,12 +47,12 @@ public async Task Scale(string inputPath, string outputPath, string outputFormat
             logger.Log("Converting output tensor to image...");
             image = ConvertFloatTensorToImageUnsafe(outMat);
 
-
             var saveName = Path.GetFileName(inputPath);
             var savePath = $"{outputPath}{saveName.Split(".")[0]}_{modelName}.{outputFormat}";
             logger.Log($"Writing image to {savePath}...");
             image.Save(savePath);
             logger.Progress += 10;
+            image.Dispose();
         }
 
         public async Task<Tensor<float>> Inference(Tensor<float> input)
@@ -141,10 +141,12 @@ public static Bitmap RemoveAlphaChannel(Bitmap bitmap)
         {
             Bitmap target = new Bitmap(bitmap.Width, bitmap.Height, PixelFormat.Format24bppRgb);
             target.SetResolution(bitmap.HorizontalResolution, bitmap.VerticalResolution);   // Set both bitmap to same dpi to prevent scaling.
-            Graphics g = Graphics.FromImage(target);
-            g.Clear(Color.White);
-            g.CompositingMode = System.Drawing.Drawing2D.CompositingMode.SourceOver;
-            g.DrawImage(bitmap, 0, 0);
+            using (Graphics g = Graphics.FromImage(target))
+            {
+                g.Clear(Color.White);
+                g.CompositingMode = System.Drawing.Drawing2D.CompositingMode.SourceOver;
+                g.DrawImage(bitmap, 0, 0);
+            }
             return target;
         }
 

scripts/onnx_quantitize_test.py

@@ -0,0 +1,7 @@
+import os
+from onnxruntime.quantization import quantize_qat, QuantType, CalibrationDataReader
+
+project_path=os.path.abspath("../Real-ESRGAN_GUI/")
+input_model_path = os.path.join(project_path, "models/realesrgan-x4plus_anime_6B.onnx")
+output_model_path = os.path.join(project_path,"models/realesrgan-x4plus_anime_6B_quantitized.onnx")
+quantize_qat(input_model_path, output_model_path, weight_type=QuantType.QUInt8)

scripts/onnx_test.py

@@ -35,14 +35,14 @@ def display_image(img, color_mode):
 sess = rt.InferenceSession(os.path.join(project_path, "models/realesrgan-x4plus_anime_6B.onnx"))
 print("loaded model.")
 
-in_image = cv2.imread(os.path.join(project_path, "input.jpg"), cv2.IMREAD_UNCHANGED)
+in_image = cv2.imread(os.path.join("../assets", "avatar_256px.png"), cv2.IMREAD_UNCHANGED)
 print("loaded input image.")
 
-print("create in_mat from tiles.")
 in_mat = cv2.cvtColor(in_image, cv2.COLOR_BGR2RGB)
 in_mat = np.transpose(in_mat, (2, 1, 0))[np.newaxis]
 in_mat = in_mat.astype(np.float32)
 in_mat = in_mat/255
+print("loaded image.")
 
 # display_image(in_mat, cv2.COLOR_RGB2BGR)
 print("sess run.")
@@ -53,8 +53,8 @@ def display_image(img, color_mode):
 print("convert out_mat to image")
 out_mat = np.squeeze(out_mat, axis=0)
 out_mat = np.clip(out_mat, 0, 1)
-out_mat = out_mat.T
 out_mat = (out_mat*255.).round().astype(np.uint8)
+out_mat = out_mat.T
 out_mat = cv2.cvtColor(out_mat, cv2.COLOR_RGB2BGR)
 cv2.imshow("out_mat", out_mat)
 cv2.waitKey()

scripts/requirements.txt

@@ -0,0 +1,4 @@
+numpy
+onnx
+onnxruntime
+opencv-python