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12 Commits
2d46fd65b9
...
403db80292
| Author | SHA1 | Date | |
|---|---|---|---|
| 403db80292 | |||
| b76ccf448e | |||
| b08b5fcb89 | |||
| 0b97e346d8 | |||
| 378259ab1c | |||
| 597f7f426e | |||
| 5eaa9ff5d4 | |||
| 4d9ccbfd90 | |||
| 95abea3920 | |||
| 0df3f2d8a9 | |||
| 40fb6b7918 | |||
| 5cd1d63fc8 |
2
.idea/lc-py.iml
generated
@@ -4,7 +4,7 @@
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||||
<content url="file://$MODULE_DIR$">
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||||
<excludeFolder url="file://$MODULE_DIR$/venv" />
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</content>
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<orderEntry type="inheritedJdk" />
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<orderEntry type="jdk" jdkName="Python 3.7 (lc-py-b)" jdkType="Python SDK" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</module>
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2
.idea/misc.xml
generated
@@ -1,4 +1,4 @@
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||||
<?xml version="1.0" encoding="UTF-8"?>
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||||
<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (lc_py_b)" project-jdk-type="Python SDK" />
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||||
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (lc-py-b)" project-jdk-type="Python SDK" />
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</project>
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@@ -9,6 +9,8 @@ from craft import Craft
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from mine import Mine
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from sodoku import Sodoku
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from fruit import Fruit
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from pickaxe import Pickaxe_Field
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from litris import Litris
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def run():
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@@ -61,7 +63,12 @@ def run():
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elif overlay.rb_int.get() == 8:
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sodo = Sodoku(overlay)
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sodo.execute_main_loop()
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elif overlay.rb_int.get() == 9:
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paxe = Pickaxe_Field(overlay)
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paxe.execute_main_loop()
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elif overlay.rb_int.get() == 10:
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ltris = Litris(overlay)
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ltris.execute_main_loop()
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if __name__ == "__main__":
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run()
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@@ -33,7 +33,7 @@ class PrimaryOverlay(threading.Thread):
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self.Emitter_Box = ttk.Combobox
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self.RadioButtons = dict
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self.RadioButtonNames = ["Equip", "Crops", "Farm", "Magic", "Craft", "Mine", "Fruit", "Sodo"]
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self.RadioButtonNames = ["Equip", "Crops", "Farm", "Magic", "Craft", "Mine", "Fruit", "Sodo", "PAxe", "Ltris"]
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self.RadioButton1 = tk.Radiobutton
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self.RadioButton2 = tk.Radiobutton
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self.RadioButton3 = tk.Radiobutton
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@@ -42,12 +42,14 @@ class PrimaryOverlay(threading.Thread):
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self.RadioButton6 = tk.Radiobutton
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self.RadioButton7 = tk.Radiobutton
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self.RadioButton8 = tk.Radiobutton
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self.RadioButton9 = tk.Radiobutton
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self.RadioButton10 = tk.Radiobutton
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self.StartButton = tk.Button
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self.StopButton = tk.Button
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self.PauseButton = tk.Button
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self.QuitButton = tk.Button
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self.TkPosition = '133x354+60+600'
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self.TkPosition = '133x404+60+600'
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self.setDaemon(True)
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self.StatusLabel = tk.Label
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@@ -75,7 +77,7 @@ class PrimaryOverlay(threading.Thread):
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self.rb_int = tk.IntVar(self.root, value=1)
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self.RadioButtons = dict()
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# var = tk.IntVar(value=1)
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for i in range(1, 9):
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for i in range(1, 11):
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self.RadioButtons[i] = tk.Radiobutton(self.rb_frame, text=self.RadioButtonNames[i - 1],
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variable=self.rb_int,
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value=i, command=self.radio_button_callback)
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@@ -301,7 +303,28 @@ class PrimaryOverlay(threading.Thread):
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self.SpawnLabel.configure(text="")
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self.EnergyLabel.configure(text="")
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self.hide_mining_overlay()
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elif self.rb_int.get() == 9:
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self.EnergyEntry.configure(state=tk.DISABLED)
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self.energy_use.set('')
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self.SpawnEntry.configure(state=tk.DISABLED)
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self.spawn_use.set('')
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self.Emitter_Box.configure(state=tk.DISABLED)
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self.emitter_use.set('')
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self.EmitterLabel.configure(text="")
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self.SpawnLabel.configure(text="")
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self.EnergyLabel.configure(text="")
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self.hide_mining_overlay()
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elif self.rb_int.get() == 10:
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self.EnergyEntry.configure(state=tk.DISABLED)
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self.energy_use.set('')
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self.SpawnEntry.configure(state=tk.DISABLED)
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self.spawn_use.set('')
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self.Emitter_Box.configure(state=tk.DISABLED)
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self.emitter_use.set('')
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self.EmitterLabel.configure(text="")
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self.SpawnLabel.configure(text="")
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self.EnergyLabel.configure(text="")
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self.hide_mining_overlay()
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def get_run_mode(self):
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return self.run_mode
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2
crops.py
@@ -163,7 +163,7 @@ class Crops(GameBase):
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# cv.waitKey(150)
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# continue
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data_coords = np.zeros((8, 14), dtype=object)
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# field = Field()
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# field = Pickaxe_Field()
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for needle_key in self.needles.keys():
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# gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
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2
farm.py
@@ -116,7 +116,7 @@ class Farm(GameBase):
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#return
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#continue
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data_coords = np.zeros((8, 14), dtype=object)
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# field = Field()
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# field = Pickaxe_Field()
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for needle_key in self.needles.keys():
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# gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
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# thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
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2
fruit.py
@@ -93,7 +93,7 @@ class Fruit(GameBase):
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#cv.waitKey(150)
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# continue
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data_coords = np.zeros((7, 11), dtype=object)
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# field = Field()
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# field = Pickaxe_Field()
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for needle_key in self.needles.keys():
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# gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
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# thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
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292
litris.py
Normal file
@@ -0,0 +1,292 @@
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||||
|
||||
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||||
'''
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||||
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playfield:
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box = 63*63 + 4
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20x20 boxes
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||||
2d array filled or not
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||||
shape class
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||||
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||||
methods:
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||||
shift direction
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is row full
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||||
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||||
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||||
actions:
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||||
mini frame to detect a new spawned piece in the middle of the board
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||||
direction decision
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identify shape
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find posititon to store on y axis and move n fields
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drop piece down
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extras:
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pre run calc with next piece and bypass calc
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'''
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import cv2 as cv
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import keyboard
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import numpy as np
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from utils import mse
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from game_base_class import GameBase
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import random
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from pynput.keyboard import Key, Controller
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BLOCK_FULL = [[0, 0, 0, 0], [0, 1, 1, 0], [0, 1, 1, 0], [0, 0, 0, 0]]
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BLOCK_SMALL = [[1, 1], [1, 1]]
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BLOCK_COL = 9
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BL3_FULL = [[0, 0, 0, 0], [0, 1, 1, 0], [0, 0, 1, 0], [0, 0, 0, 0]]
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Bl3_COL = 9
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L1_FULL = [[0, 0, 0, 0], [0, 0, 1, 0], [1, 1, 1, 0], [0, 0, 0, 0]]
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L1_COL = 8
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L2_FULL = [[0, 0, 0, 0], [1, 1, 1, 0], [0, 0, 1, 0], [0, 0, 0, 0]]
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L2_COL = 8
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LINE_FULL = [[0, 0, 0, 0], [1, 1, 1, 1], [0, 0, 0, 0], [0, 0, 0, 0]]
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LINE_COL = 8
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DOT_FULL = [[0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0]]
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DOT_COL = 10
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DDOT_FULL = [[0, 0, 0, 0], [0, 1, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0]]
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DDOT_COL = 9
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DDDOT_FULL = [[0, 0, 0, 0], [0, 1, 1, 1], [0, 0, 0, 0], [0, 0, 0, 0]]
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DDDOT_COL = 9
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Z1_FULL = [[0, 0, 0, 0], [0, 0, 1, 1], [0, 1, 1, 0], [0, 0, 0, 0]]
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Z1_COL = 9
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class Litris(GameBase):
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def __init__(self, overlay):
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super().__init__(overlay)
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self.keyboard = Controller()
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self.data_coordinates = np.zeros((20, 20), dtype=object)
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self.stone_coordinates = np.zeros((4, 4), dtype=object)
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self.observation = np.zeros((20, 20), dtype=int)
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self.colors = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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self.offset_left = 610
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self.offset_down = 40
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self.fill_data_coordinates()
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#self.sd_reset_board = cv.imread("control_elements/sodoku_reset_button.jpg", cv.IMREAD_COLOR)
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self.needles = {1: cv.imread("litris/blue_needle.jpg", cv.IMREAD_COLOR)
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# 2: cv.imread("sodoku/2.jpg", cv.IMREAD_COLOR),
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}
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self.full_stones_dic = {1: BLOCK_FULL,
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2: L1_FULL,
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3: LINE_FULL,
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4: DOT_FULL
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}
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self.col_stones_dic = {1: BLOCK_COL,
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2: L1_COL,
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3: LINE_COL,
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4: DOT_COL
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}
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def fill_data_coordinates(self):
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# 610 to 1950 = 1340 - 76 / 20 = 63
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# 40 to 1380 = 1340 - 76 / 20 = 63
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# spacing 19 * 4
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dim = 63
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e_spacing = 4
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i_spacing = 4
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for e in range(0, 20, 1):
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for i in range(0, 20, 1):
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self.data_coordinates[e][i] = [(i * dim) + (i * i_spacing), (e * dim) + (e * e_spacing), dim, dim]
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for e in range(0, 4, 1):
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for i in range(0, 4, 1):
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self.stone_coordinates[e][i] = [(i * dim) + (i * i_spacing), (e * dim) + (e * e_spacing), dim, dim]
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def assess_playfield_and_make_move(self):
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#if self.check_for_button_and_execute(self.capture_window.get_screenshot(), self.sd_reset_board):
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# cv.waitKey(2000)
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current_stone = self.new_stone_detection_and_identification()
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new_observation, new_screenshot = self.get_current_board_state()
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col = self.find_place_for_stone(current_stone, new_observation)
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self.move_stone(col)
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self.observation = new_observation
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return new_observation
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def get_current_board_state(self):
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# get an updated image of the game
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screenshot = self.capture_window.get_screenshot()
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#screenshot = cv.imread("litris/main_playfield.jpg")
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# gray = cv.cvtColor(screenshot, cv.COLOR_BGR2GRAY)
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# thresh = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
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#if self.check_for_button_and_execute(screenshot, self.ok_button):
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# cv.waitKey(500)
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|
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#screenshot = self.capture_window.get_screenshot()
|
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screenshot = screenshot[40:1380, 610:1950]
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|
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#cv.imshow("screenshot", screenshot)
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#cv.waitKey(150)
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#continue
|
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data_coords = np.zeros((20, 20), dtype=object)
|
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# field = Pickaxe_Field()
|
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for needle_key in self.needles.keys():
|
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# gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
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# thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
|
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rectangles = self.vision_stun.find(screenshot, self.needles[needle_key], 0.85, 56)
|
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if len(rectangles) == 0:
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continue
|
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points = self.vision_stun.get_click_points(rectangles)
|
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|
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for point in points:
|
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x, y = self.point_in_rect(point)
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if x is not None and y is not None:
|
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data_coords[x][y] = int(needle_key)
|
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# self.change_value(x, y, int(needle_key))
|
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# print(field.data_value_grid)
|
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#cv.circle(screenshot, points[0], 7, (0, 255, 0), -1)
|
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#output_image = self.vision_stun.draw_rectangles(screenshot, rectangles)
|
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#cv.imshow("output_image", output_image)
|
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#cv.waitKey(150)
|
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return data_coords, screenshot
|
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|
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def new_stone_detection_and_identification(self):
|
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stone_coords = np.zeros((4, 4), dtype=object)
|
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while True:
|
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screenshot = self.capture_window.get_screenshot()
|
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#screenshot = cv.imread("litris/main_playfield.jpg")
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# 1148 1412 580 845
|
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screenshot = screenshot[580:845, 1148:1412]
|
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#cv.imshow("screenshot", screenshot)
|
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#cv.waitKey(150)
|
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|
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# gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
|
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# thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
|
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rectangles = self.vision_stun.find(screenshot, self.needles[1], 0.85, 16)
|
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if len(rectangles) == 0:
|
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cv.waitKey(100)
|
||||
continue
|
||||
points = self.vision_stun.get_click_points(rectangles)
|
||||
|
||||
for point in points:
|
||||
x, y = self.point_in_smal_rect(point)
|
||||
if x is not None and y is not None:
|
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stone_coords[x][y] = 1
|
||||
# self.change_value(x, y, int(needle_key))
|
||||
# print(field.data_value_grid)
|
||||
#cv.circle(screenshot, points[0], 7, (0, 255, 0), -1)
|
||||
#output_image = self.vision_stun.draw_rectangles(screenshot, rectangles)
|
||||
#cv.imshow("output_image", output_image)
|
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#cv.waitKey(150)
|
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return stone_coords
|
||||
|
||||
def find_place_for_stone(self, stone, current_board):
|
||||
|
||||
if np.array_equal(stone, BLOCK_FULL):
|
||||
# block
|
||||
for e in range(19, 17, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e][i] == 0 and current_board[e - 1][i] == 0 and current_board[e][i + 1] == 0 and current_board[e - 1][i + 1] == 0:
|
||||
return i - BLOCK_COL
|
||||
if np.array_equal(stone, BL3_FULL):
|
||||
# block
|
||||
for e in range(19, 17, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e - 1][i] == 0 and current_board[e][i + 1] == 0 and current_board[e - 1][i + 1] == 0:
|
||||
return i - Bl3_COL
|
||||
elif np.array_equal(stone, L1_FULL):
|
||||
# L1
|
||||
for e in range(19, 17, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e][i] == 0 and current_board[e][i + 1] == 0 and current_board[e][i + 2] == 0 and \
|
||||
current_board[e - 1][i + 2] == 0:
|
||||
return i - L1_COL
|
||||
elif np.array_equal(stone, L2_FULL):
|
||||
# L1
|
||||
for e in range(19, 17, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e - 1][i] == 0 and current_board[e - 1][i + 1] == 0 and current_board[e - 1][i + 2] == 0 and \
|
||||
current_board[e][i + 2] == 0:
|
||||
return i - L2_COL
|
||||
elif np.array_equal(stone, LINE_FULL):
|
||||
# Line
|
||||
for e in range(19, 18, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e][i] == 0 and current_board[e][i + 1] == 0 and current_board[e][i + 2] == 0 and \
|
||||
current_board[e][i + 3] == 0:
|
||||
return i - LINE_COL
|
||||
elif np.array_equal(stone, DOT_FULL):
|
||||
# Dot
|
||||
for e in range(19, 18, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e][i] == 0:
|
||||
return i - DOT_COL
|
||||
elif np.array_equal(stone, DDOT_FULL) :
|
||||
# DDot
|
||||
for e in range(19, 18, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e][i] == 0 and current_board[e][i + 1] == 0:
|
||||
return i - DDOT_COL
|
||||
elif np.array_equal(stone, DDDOT_FULL) :
|
||||
# DDot
|
||||
for e in range(19, 18, - 1):
|
||||
for i in range(0, 19, 1):
|
||||
if current_board[e][i] == 0 and current_board[e][i + 1] == 0 and current_board[e][i + 2] == 0:
|
||||
return i - DDDOT_COL
|
||||
|
||||
def move_stone(self, col_movement):
|
||||
if col_movement is None:
|
||||
return
|
||||
# Press and release space
|
||||
self.keyboard.press(Key.down)
|
||||
self.keyboard.release(Key.down)
|
||||
cv.waitKey(250)
|
||||
if col_movement < 0:
|
||||
for i in range(0, col_movement, - 1):
|
||||
self.keyboard.press(Key.left)
|
||||
self.keyboard.release(Key.left)
|
||||
cv.waitKey(250)
|
||||
else:
|
||||
for i in range(0, col_movement, 1):
|
||||
self.keyboard.press(Key.right)
|
||||
self.keyboard.release(Key.right)
|
||||
cv.waitKey(250)
|
||||
|
||||
def point_in_rect(self, point):
|
||||
for e in range(0, 20, 1):
|
||||
for i in range(0, 20, 1):
|
||||
x1, y1, w, h = self.data_coordinates[e][i]
|
||||
x2, y2 = x1 + w, y1 + h
|
||||
x, y = point
|
||||
if x1 < x and x < x2:
|
||||
if y1 < y and y < y2:
|
||||
return e, i
|
||||
return None, None
|
||||
|
||||
def point_in_smal_rect(self, point):
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
x1, y1, w, h = self.stone_coordinates[e][i]
|
||||
x2, y2 = x1 + w, y1 + h
|
||||
x, y = point
|
||||
if x1 < x and x < x2:
|
||||
if y1 < y and y < y2:
|
||||
return e, i
|
||||
return None, None
|
||||
BIN
litris/blue_needle.jpg
Normal file
|
After Width: | Height: | Size: 1.9 KiB |
BIN
litris/main_playfield.jpg
Normal file
|
After Width: | Height: | Size: 578 KiB |
473
pickaxe.py
Normal file
@@ -0,0 +1,473 @@
|
||||
import random
|
||||
import cv2 as cv
|
||||
import numpy as np
|
||||
import pydirectinput
|
||||
from window_capture import WindowCapture
|
||||
from vision import Vision
|
||||
from config_file import UserConfigs
|
||||
from utils import mse
|
||||
from copy import copy
|
||||
from game_base_class import GameBase
|
||||
|
||||
class Pickaxe_Field(GameBase):
|
||||
|
||||
data_value_grid = []
|
||||
data_coordinates = []
|
||||
episode_step = 0
|
||||
SIZE = 880
|
||||
#RETURN_IMAGES = True
|
||||
#MOVE_PENALTY = 1
|
||||
#ENEMY_PENALTY = 300
|
||||
#FOOD_REWARD = 25
|
||||
OBSERVATION_SPACE_VALUES = (SIZE, SIZE, 3) # 4
|
||||
ACTION_SPACE_SIZE = 4
|
||||
#PLAYER_N = 1 # player key in dict
|
||||
#FOOD_N = 2 # food key in dict
|
||||
#+ENEMY_N = 3 # enemy key in dict
|
||||
# the dict! (colors)
|
||||
#d = {1: (255, 175, 0),
|
||||
# 2: (0, 255, 0),
|
||||
# 3: (0, 0, 255)}
|
||||
observation = None
|
||||
last_score = 0
|
||||
last_reward = 0
|
||||
kill_counter = 0
|
||||
last_action = 0
|
||||
|
||||
MOVE_RIGHT = 0
|
||||
MOVE_LEFT = 1
|
||||
MOVE_DOWN = 3
|
||||
MOVE_UP = 2
|
||||
|
||||
SQUARE_DIM = 250
|
||||
|
||||
def __init__(self, overlay):
|
||||
super().__init__(overlay)
|
||||
|
||||
self.data_value_grid = np.zeros((4, 4), dtype=int)
|
||||
self.data_coordinates = np.zeros((4, 4), dtype=object)
|
||||
self.data_coordinates[0][0] = [0, 0, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[0][1] = [self.SQUARE_DIM, 0, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[0][2] = [self.SQUARE_DIM * 2, 0, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[0][3] = [self.SQUARE_DIM * 3, 0, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[1][0] = [0, self.SQUARE_DIM, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[1][1] = [self.SQUARE_DIM, self.SQUARE_DIM, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[1][2] = [self.SQUARE_DIM * 2, self.SQUARE_DIM, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[1][3] = [self.SQUARE_DIM * 3, self.SQUARE_DIM, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[2][0] = [0, self.SQUARE_DIM * 2, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[2][1] = [self.SQUARE_DIM, self.SQUARE_DIM * 2, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[2][2] = [self.SQUARE_DIM * 2, self.SQUARE_DIM * 2, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[2][3] = [self.SQUARE_DIM * 3, self.SQUARE_DIM * 2, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[3][0] = [0, self.SQUARE_DIM * 3, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[3][1] = [self.SQUARE_DIM, self.SQUARE_DIM * 3, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[3][2] = [self.SQUARE_DIM * 2, self.SQUARE_DIM * 3, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
self.data_coordinates[3][3] = [self.SQUARE_DIM * 3, self.SQUARE_DIM * 3, self.SQUARE_DIM, self.SQUARE_DIM]
|
||||
|
||||
# initialize the user-class
|
||||
self.config = UserConfigs()
|
||||
|
||||
# initialize the StunWindowCapture class
|
||||
self.capture_window = WindowCapture(None, None, self.config)
|
||||
# initialize the StunVision class
|
||||
self.vision_stun = Vision()
|
||||
|
||||
self.needles = {1: cv.imread("pickaxe/1.jpg", cv.IMREAD_COLOR),
|
||||
2: cv.imread("pickaxe/2.jpg", cv.IMREAD_COLOR),
|
||||
3: cv.imread("pickaxe/3.jpg", cv.IMREAD_COLOR),
|
||||
4: cv.imread("pickaxe/4.png", cv.IMREAD_COLOR),
|
||||
5: cv.imread("pickaxe/5.jpg", cv.IMREAD_COLOR),
|
||||
6: cv.imread("pickaxe/6.png", cv.IMREAD_COLOR),
|
||||
7: cv.imread("pickaxe/7.png", cv.IMREAD_COLOR),
|
||||
8: cv.imread("pickaxe/8.png", cv.IMREAD_COLOR),
|
||||
9: cv.imread("pickaxe/9.png", cv.IMREAD_COLOR),
|
||||
10: cv.imread("pickaxe/10.png", cv.IMREAD_COLOR),
|
||||
11: cv.imread("pickaxe/11.png", cv.IMREAD_COLOR),
|
||||
12: cv.imread("pickaxe/12.png", cv.IMREAD_COLOR)
|
||||
}
|
||||
|
||||
|
||||
|
||||
def reset(self):
|
||||
self.episode_step = 0
|
||||
self.last_reward = 0
|
||||
self.last_score = 0
|
||||
self.kill_counter = 0
|
||||
# hit reset button and confirm
|
||||
#self.check_for_button_and_click_it("needles/repeat.jpg")
|
||||
#self.check_for_button_and_click_it("needles/reset.jpg")
|
||||
|
||||
self.dig_point(1800, 160, 600)
|
||||
self.dig_point(1800, 1000, 300)
|
||||
self.observation, screen = self.get_current_board_state()
|
||||
return self.observation
|
||||
|
||||
def shift_playfield(self, action):
|
||||
self.episode_step += 1
|
||||
# move to indicated direction
|
||||
self.action(action)
|
||||
# get new field status
|
||||
new_observation, new_screenshot = self.get_current_board_state()
|
||||
current_score = 0
|
||||
reward = 0
|
||||
|
||||
# wrong movement detection
|
||||
# last board state is same as actual
|
||||
if mse(new_observation, self.observation) == 0.0:
|
||||
# no movement detected -> punish
|
||||
if len(new_observation[new_observation == 0]) >= 1:
|
||||
reward = -100
|
||||
else:
|
||||
self.kill_counter = self.kill_counter + 1
|
||||
reward = -5
|
||||
else:
|
||||
# calculate current board score
|
||||
self.kill_counter = 0
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
current_score = current_score + (2 ** new_observation[e][i] - 1)
|
||||
bonus_for_empty_cells = len(new_observation[new_observation == 0])
|
||||
reward = current_score - self.last_score + bonus_for_empty_cells
|
||||
self.last_score = current_score
|
||||
|
||||
if self.kill_counter >= 5:
|
||||
self.kill_counter = 0
|
||||
done = True
|
||||
else:
|
||||
done = False
|
||||
self.observation = new_observation
|
||||
return new_observation, reward, done
|
||||
|
||||
def predict_best_move(self):
|
||||
self.observation, new_screenshot = self.get_current_board_state()
|
||||
|
||||
lst = self.shift_possible()
|
||||
tmp_dic = {}
|
||||
for direction in lst:
|
||||
if direction == 0:
|
||||
tmp_dic[direction] = self.shift_rule_checker(self.shif_right())
|
||||
elif direction == 1:
|
||||
tmp_dic[direction] = self.shift_rule_checker(self.shift_left())
|
||||
elif direction == 2:
|
||||
tmp_dic[direction] = self.shift_rule_checker(self.shift_up())
|
||||
elif direction == 3:
|
||||
tmp_dic[direction] =self.shift_rule_checker(self.shift_down())
|
||||
|
||||
return max(tmp_dic, key=tmp_dic.get)
|
||||
|
||||
def shift_rule_checker(self, shift_dir):
|
||||
#1 is highest axe top right
|
||||
#2 is second highest below #1 and level - 1
|
||||
#3 is third highest below #2 and level - 1
|
||||
#4 is fourth highest below #3 and level -1
|
||||
#5 merge if secone row bottom matches #4
|
||||
#6 rightest column has no empty spots (enable downwards movement)
|
||||
|
||||
# phase 1 build up second, third, fourth etc
|
||||
# phase 2 build up merge bottom right
|
||||
# phase 3 merge
|
||||
|
||||
points = 0
|
||||
highest = np.max(shift_dir)
|
||||
if shift_dir[0][3] == highest:
|
||||
points = points + 1000
|
||||
else:
|
||||
points = points - 10000
|
||||
|
||||
try:
|
||||
second_higest = np.unique(shift_dir)[-2]
|
||||
if shift_dir[1][3] == second_higest:
|
||||
points = points + 300
|
||||
|
||||
|
||||
if shift_dir[2][3] is not 0:
|
||||
if shift_dir[2][3] == np.unique(shift_dir)[-3]:
|
||||
#third_higest = np.unique(shift_dir)[-3]
|
||||
#if shift_dir[2][3] == third_higest:
|
||||
points = points + 300
|
||||
|
||||
|
||||
if shift_dir[3][3] is not 0:
|
||||
if shift_dir[3][3] == np.unique(shift_dir)[-4]:
|
||||
#fourth_higest = np.unique(shift_dir)[-4]
|
||||
#if shift_dir[3][3] == fourth_higest:
|
||||
points = points + 300
|
||||
except:
|
||||
pass
|
||||
|
||||
if shift_dir[1][3] == highest - 1:
|
||||
points = points + 100
|
||||
if shift_dir[2][3] == highest - 2:
|
||||
points = points + 100
|
||||
if shift_dir[3][3] == highest - 3:
|
||||
points = points + 100
|
||||
|
||||
if shift_dir[3][3] == 0:
|
||||
points = points - 500
|
||||
if shift_dir[2][3] == 0:
|
||||
points = points - 500
|
||||
if shift_dir[1][3] == 0:
|
||||
points = points - 500
|
||||
|
||||
if shift_dir[3][3] - 1 == shift_dir[3][2]:
|
||||
points = points + 200
|
||||
if shift_dir[3][3] - 1 == shift_dir[2][2]:
|
||||
points = points + 200
|
||||
|
||||
if shift_dir[3][3] == shift_dir[3][2]:
|
||||
points = points + 300
|
||||
|
||||
return points
|
||||
|
||||
def shif_right(self):
|
||||
merge_observation = copy(self.observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (i + 1) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i + 1]:
|
||||
#right merge
|
||||
merge_observation [e][i + 1] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (i + 2) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i + 2] and self.observation[e][i + 1] == 0:
|
||||
#right merge
|
||||
merge_observation [e][i + 2] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (i + 3) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i + 3] and self.observation[e][i + 1] == 0 and self.observation[e][i + 2] == 0:
|
||||
#right merge
|
||||
merge_observation [e][i + 3] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
shift_observation = merge_observation
|
||||
while True:
|
||||
remember_observation = copy(shift_observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (i + 1) <= 3 and shift_observation[e][i] is not 0:
|
||||
if shift_observation[e][i + 1] is 0:
|
||||
shift_observation[e][i + 1] = shift_observation[e][i]
|
||||
shift_observation[e][i] = 0
|
||||
if mse(remember_observation, shift_observation) == 0.0:
|
||||
break
|
||||
return shift_observation
|
||||
|
||||
def shift_left(self):
|
||||
merge_observation = copy(self.observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (i - 1) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i - 1]:
|
||||
#left merge
|
||||
merge_observation [e][i - 1] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (i - 2) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i - 2] and self.observation[e][i - 1] == 0:
|
||||
#left merge
|
||||
merge_observation [e][i - 2] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (i - 3) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i - 3] and self.observation[e][i - 1] == 0 and self.observation[e][i - 2] == 0:
|
||||
#left merge
|
||||
merge_observation [e][i - 3] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
shift_observation = copy(merge_observation)
|
||||
while True:
|
||||
remember_observation = copy(shift_observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (i - 1) >= 0 and shift_observation[e][i] is not 0:
|
||||
if shift_observation[e][i - 1] is 0:
|
||||
shift_observation[e][i - 1] = shift_observation[e][i]
|
||||
shift_observation[e][i] = 0
|
||||
if mse(remember_observation, shift_observation) == 0.0:
|
||||
break
|
||||
return shift_observation
|
||||
def shift_up(self):
|
||||
merge_observation = copy(self.observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (e - 1) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e - 1][i]:
|
||||
#up merge
|
||||
merge_observation [e - 1][i] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (e - 2) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e - 2][i] and self.observation[e - 1][i] == 0:
|
||||
#up merge
|
||||
merge_observation [e - 2][i] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (e - 3) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e - 3][i] and self.observation[e - 1][i] == 0 and self.observation[e - 2][i] == 0:
|
||||
#up merge
|
||||
merge_observation [e - 3][i] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
shift_observation = copy(merge_observation)
|
||||
while True:
|
||||
remember_observation = copy(shift_observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (e - 1) >= 0 and shift_observation[e][i] is not 0:
|
||||
if shift_observation[e - 1][i] is 0:
|
||||
shift_observation[e - 1][i] = shift_observation[e][i]
|
||||
shift_observation[e][i] = 0
|
||||
if mse(remember_observation, shift_observation) == 0.0:
|
||||
break
|
||||
return shift_observation
|
||||
|
||||
def shift_down(self):
|
||||
merge_observation = copy(self.observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (e + 1) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e + 1][i]:
|
||||
#down merge
|
||||
merge_observation [e + 1][i] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (e + 2) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e + 2][i] and self.observation[e + 1][i] == 0:
|
||||
#down merge
|
||||
merge_observation [e + 2][i] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
if (e + 3) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e + 3][i] and self.observation[e + 1][i] == 0 and self.observation[e + 2][i] == 0:
|
||||
#down merge
|
||||
merge_observation [e + 3][i] = self.observation[e][i] + 1
|
||||
merge_observation [e][i] = 0
|
||||
shift_observation = copy(merge_observation)
|
||||
while True:
|
||||
remember_observation = copy(shift_observation)
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (e + 1) <= 3 and shift_observation[e][i] is not 0:
|
||||
if shift_observation[e + 1][i] is 0:
|
||||
shift_observation[e + 1][i] = shift_observation[e][i]
|
||||
shift_observation[e][i] = 0
|
||||
if mse(remember_observation, shift_observation) == 0.0:
|
||||
break
|
||||
return shift_observation
|
||||
def shift_possible(self):
|
||||
directions = []
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
if (i + 1) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i + 1] or self.observation[e][i + 1] is 0:
|
||||
#right possible
|
||||
directions.append(self.MOVE_RIGHT)
|
||||
if (i - 1) >= 0 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e][i - 1] or self.observation[e][i - 1] is 0:
|
||||
# left possible
|
||||
directions.append(self.MOVE_LEFT)
|
||||
if (e + 1) <= 3 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e + 1][i] or self.observation[e + 1][i] is 0:
|
||||
# down possible
|
||||
directions.append(self.MOVE_DOWN)
|
||||
if (e - 1) >= 0 and self.observation[e][i] is not 0:
|
||||
if self.observation[e][i] == self.observation[e - 1][i] or self.observation[e - 1][i] is 0:
|
||||
# up possible
|
||||
directions.append(self.MOVE_UP)
|
||||
return list(set(directions))
|
||||
def action(self, choice):
|
||||
'''
|
||||
Gives us 4 total movement options. (0,1,2,3)
|
||||
'''
|
||||
if choice == 0:
|
||||
# right
|
||||
self.move_to(1200, 598)
|
||||
elif choice == 1:
|
||||
# left
|
||||
self.move_to(1000, 598)
|
||||
elif choice == 2:
|
||||
# up
|
||||
self.move_to(1113, 498)
|
||||
elif choice == 3:
|
||||
# down
|
||||
self.move_to(1113, 698)
|
||||
|
||||
def move_to(self, x, y ):
|
||||
point_src = (1113, 598)
|
||||
pydirectinput.moveTo(point_src[0], point_src[1])
|
||||
pydirectinput.mouseDown()
|
||||
w = random.randint(1, 100)
|
||||
cv.waitKey(150 + w)
|
||||
pydirectinput.moveTo(x, y)
|
||||
pydirectinput.mouseUp()
|
||||
cv.waitKey(500 + w)
|
||||
|
||||
def change_value(self, x, y, val):
|
||||
self.data_value_grid[x][y] = val
|
||||
|
||||
def pointInRect(self, point):
|
||||
for e in range(0, 4, 1):
|
||||
for i in range(0, 4, 1):
|
||||
x1, y1, w, h = self.data_coordinates[e][i]
|
||||
x2, y2 = x1+w, y1+h
|
||||
x, y = point
|
||||
if (x1 < x and x < x2):
|
||||
if (y1 < y and y < y2):
|
||||
return e, i
|
||||
return None, None
|
||||
|
||||
def assess_playfield_and_make_move(self):
|
||||
|
||||
#if self.check_for_button_and_execute(self.capture_window.get_screenshot(), self.sd_reset_board):
|
||||
# cv.waitKey(2000)
|
||||
|
||||
action_direction = self.predict_best_move()
|
||||
self.shift_playfield(action_direction)
|
||||
|
||||
|
||||
def get_current_board_state(self):
|
||||
|
||||
# get an updated image of the game
|
||||
#screenshot = self.capture_window.get_screenshot()
|
||||
screenshot = cv.imread("pickaxe/screen1.jpg")
|
||||
screenshot = screenshot[200:1200, 650:1650] # 1000,1000
|
||||
|
||||
# cv.imshow("screenshot", screenshot)
|
||||
# cv.waitKey(150)
|
||||
# continue
|
||||
data_coords = np.zeros((4, 4), dtype=object)
|
||||
#field = Pickaxe_Field()
|
||||
for needle_key in self.needles.keys():
|
||||
#gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
|
||||
#thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
|
||||
rectangles = self.vision_stun.find(screenshot, self.needles[needle_key], 0.8, 12)
|
||||
if len(rectangles) == 0:
|
||||
continue
|
||||
points = self.vision_stun.get_click_points(rectangles)
|
||||
|
||||
for point in points:
|
||||
x, y = self.pointInRect(point)
|
||||
if x is not None and y is not None:
|
||||
data_coords[x][y] = int(needle_key)
|
||||
#self.change_value(x, y, int(needle_key))
|
||||
# print(field.data_value_grid)
|
||||
# cv.circle(screenshot, points[0], 7, (0, 255, 0), -1)
|
||||
# output_image = vision_stun.draw_rectangles(screenshot, rectangles)
|
||||
# cv.imshow("output_image", output_image)
|
||||
# cv.waitKey(150)
|
||||
return data_coords, screenshot
|
||||
|
||||
|
||||
def check_for_button_and_click_it(self, button_url):
|
||||
screenshot = self.capture_window.get_screenshot()
|
||||
#gray = cv.cvtColor(screenshot, cv.COLOR_BGR2GRAY)
|
||||
#thresh = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
|
||||
#gray_needle = cv.cvtColor(cv.imread(button_url, cv.IMREAD_UNCHANGED), cv.COLOR_BGR2GRAY)
|
||||
#thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
|
||||
needle = cv.imread(button_url, cv.IMREAD_UNCHANGED)
|
||||
#rectangles = self.vision_stun.find(thresh, thresh_needle, 0.4, 1)
|
||||
rectangles = self.vision_stun.find(screenshot, needle, 0.7, 1)
|
||||
|
||||
|
||||
if len(rectangles) == 1:
|
||||
pointis = self.vision_stun.get_click_points(rectangles)
|
||||
for pointi in pointis:
|
||||
self.dig_point(pointi[0], pointi[1], 150)
|
||||
|
||||
def dig_point(self, point1, point2, dig_time):
|
||||
pydirectinput.moveTo(point1, point2)
|
||||
cv.waitKey(dig_time)
|
||||
pydirectinput.mouseDown()
|
||||
w = random.randint(50, 100)
|
||||
cv.waitKey(w)
|
||||
pydirectinput.mouseUp()
|
||||
BIN
pickaxe/1.jpg
Normal file
|
After Width: | Height: | Size: 7.5 KiB |
BIN
pickaxe/1.png
Normal file
|
After Width: | Height: | Size: 1.9 KiB |
BIN
pickaxe/10.png
Normal file
|
After Width: | Height: | Size: 6.5 KiB |
BIN
pickaxe/11.png
Normal file
|
After Width: | Height: | Size: 1.7 KiB |
BIN
pickaxe/12.png
Normal file
|
After Width: | Height: | Size: 3.1 KiB |
BIN
pickaxe/2.jpg
Normal file
|
After Width: | Height: | Size: 8.5 KiB |
BIN
pickaxe/2.png
Normal file
|
After Width: | Height: | Size: 4.4 KiB |
BIN
pickaxe/3.jpg
Normal file
|
After Width: | Height: | Size: 11 KiB |
BIN
pickaxe/3.png
Normal file
|
After Width: | Height: | Size: 5.5 KiB |
BIN
pickaxe/4.png
Normal file
|
After Width: | Height: | Size: 3.9 KiB |
BIN
pickaxe/5.jpg
Normal file
|
After Width: | Height: | Size: 9.2 KiB |
BIN
pickaxe/5.png
Normal file
|
After Width: | Height: | Size: 2.1 KiB |
BIN
pickaxe/6.png
Normal file
|
After Width: | Height: | Size: 4.8 KiB |
BIN
pickaxe/7.png
Normal file
|
After Width: | Height: | Size: 2.0 KiB |
BIN
pickaxe/8.png
Normal file
|
After Width: | Height: | Size: 2.8 KiB |
BIN
pickaxe/9.png
Normal file
|
After Width: | Height: | Size: 3.3 KiB |
BIN
pickaxe/repeat.jpg
Normal file
|
After Width: | Height: | Size: 2.6 KiB |
BIN
pickaxe/reset.jpg
Normal file
|
After Width: | Height: | Size: 9.5 KiB |
BIN
pickaxe/screen1.jpg
Normal file
|
After Width: | Height: | Size: 561 KiB |
@@ -86,7 +86,7 @@ class Sodoku(GameBase):
|
||||
#cv.waitKey(150)
|
||||
#continue
|
||||
data_coords = np.zeros((9, 9), dtype=object)
|
||||
# field = Field()
|
||||
# field = Pickaxe_Field()
|
||||
for needle_key in self.needles.keys():
|
||||
# gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
|
||||
# thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
|
||||
|
||||