新增批量大小和幅值放缩设置，优化J峰预测功能

func/Module_detect_Jpeak.py

@@ -338,7 +338,8 @@ class MainWindow_detect_Jpeak(QMainWindow):
         # 预测峰值
         PublicFunc.progressbar_update(self, 2, 3, Constants.DETECT_JPEAK_PREDICTING_PEAK, 10)
         self.model.selected_model = Config["DetectMethod"]
-        result = self.data.predict_Jpeak(self.model)
+        scale = self.ui.spinBox_scaleValue.value() if self.ui.checkBox_scaleEnable.isChecked() else 0
+        result = self.data.predict_Jpeak(self.model, batch_size=int(self.ui.comboBox_batchSize.currentText()), scale=scale)
         if not result.status:
             PublicFunc.text_output(self.ui, "(2/3)" + result.info, Constants.TIPS_TYPE_ERROR)
             PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR)
@@ -469,7 +470,7 @@ class Data:
             return Result().failure(info=Constants.PREPROCESS_FAILURE +
                                          Constants.FAILURE_REASON["Preprocess_Exception"] + "\n" + format_exc())
 
-    def predict_Jpeak(self, model):
+    def predict_Jpeak(self, model, batch_size=0, scale=0):
         if not (Path(model.model_folder_path) / Path(model.selected_model)).exists():
             return Result().failure(info=Constants.DETECT_JPEAK_PREDICT_FAILURE +
                                          Constants.FAILURE_REASON["Model_File_Not_Exist"])
@@ -489,7 +490,9 @@ class Data:
                                                        Config["IntervalHigh"],
                                                        Config["IntervalLow"],
                                                        Config["PeaksValue"],
-                                                       Config["UseCPU"])
+                                                       Config["UseCPU"],
+                                                       batch_size,
+                                                       scale)
         except Exception as e:
             return Result().failure(info=Constants.DETECT_JPEAK_PREDICT_FAILURE +
                                          Constants.FAILURE_REASON["Predict_Exception"] + "\n" + format_exc())