This: -changed readme.txt

App.py

@@ -147,7 +147,7 @@ def init_demo(): #Demo purpose
                 pass
                 model = neuralnetwork.loadModel('model_500_hidden.pth')
                 Tractor.drzewo.treeLearn()
-                traktor.snake_move_predict_plant(pole, model, headers=['Coords','Real plant','Predicted plant','Result','Decision'], actions=[traktor.irigate_slot_NN])
+                traktor.snake_move_predict_plant(pole, model, headers=['Coords','Real plant','Predicted plant','Result','Water decision'], actions=[traktor.irigate_slot_NN])
             start_flag=False
         # demo_move()
         old_info=get_info(old_info)

BFS.py

@@ -133,8 +133,12 @@ def check3(tab, state):
     return True
 
 
-def BFS3(istate):
-    goalTreassuere = (random.randint(0,NUM_X-1), random.randint(0,NUM_Y-1))
+def BFS3(istate,GT):
+    randomGT=True
+    if(randomGT==True):
+        goalTreassuere = (random.randint(0,NUM_X-1), random.randint(0,NUM_Y-1))
+    else:
+        goalTreassuere=GT
     print(goalTreassuere)
     fringe = []
     explored = []

readme.txt

@@ -4,4 +4,21 @@ Required packages:
         pip install pygame
         pip install matplotlib
         pip install scikit-learn
-        pip install pandas
+        pip install pandas
+How to run:
+    For BFS3:
+        -in App.py change bfs3_flag to True (other flags need to be disabled)
+        -in Image.py change range in function return_random_plant to (0,5)
+    For Astar:
+        in App.py change Astar to True (other flags need to be disabled)
+        -in Image.py change range in function return_random_plant to (0,7)
+    For Astar2:
+        -in App.py change Astar2 flag to True (other flags need to be disabled)
+        -in Image.py change range in function return_random_plant to (0,7)
+    For Tree:
+        -in App.py change TreeFlag to True (other flags need to be disabled)
+        -in Image.py change range in function return_random_plant to (0,5)
+    For neuralnetwork:
+        -in App.py change nnFlag to True (other flags need to be disabled)
+    For final_show (neuralnetwork+tree+genetic algorithm)
+        -in App.py change finalFlag to True (other flags need to be disabled)