Update geneticAlgorithm.py

geneticAlgorithm.py

@@ -26,8 +26,8 @@ def fitness_func(ga_instance, solution, solution_idx):
         usedOptimizers = Optimizers[solution[6]]
         usedLossFunction = LossFunction[solution[7]]
 
-        imgWidth = 20
-        imgHeight = 20
+        imgWidth = 50
+        imgHeight = 50
         batchSize = usedBatchs
         IMC = ImageMulticlassClassification(imgWidth, imgHeight, batchSize)
         IMC.data_MakeDataset(datasetUrl="https://huggingface.co/datasets/S1223/HandGestureDataset/resolve/main/HandGestureDataset.tgz", datasetDirectoryName="HandGestureDataset", ratioValidation=0.20)
@@ -47,7 +47,7 @@ def fitness_func(ga_instance, solution, solution_idx):
         modelName = ""
         for x in solution:
             modelName += f"{str(x)}_"
-        IMC.training_model(epochs=3, modelName=modelName, optimizer=usedOptimizers, lossFunction=usedLossFunction)
+        IMC.training_model(epochs=50, modelName=modelName, optimizer=usedOptimizers, lossFunction=usedLossFunction)
         IMC.evaluation(labelName=["0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19"])
         output = float(IMC.history.history["val_accuracy"][-1])
         fitness = output