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main.py
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main.py
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import math
import os.path
import shutil
import sys
import time
import imagehash
import numpy
import pyautogui
import win32gui
from PIL import Image, ImageGrab
import pytesseract
import cv2
import numpy as np
from numpy import average, dot, linalg
from matplotlib import pyplot as plt
# from python_imagesearch.imagesearch import imagesearch
import pyautogui as pg
from os import listdir
from os.path import isfile, isdir, join
from random import choice, sample
import timeit
import win32api
from imagehash import average_hash
from array import array
from enum import Enum
from itertools import combinations
import win32file
class GameStatue(Enum):
Fighting = 0
Victory = 1
Lost = 1
WinWithExp = 2
WinWithSLPBounds = 3
MissionSelect = 4
class StepType(Enum):
CONTINUE = 'continue'
BREAK = 'break'
STEPOVER = 'stepover'
class HealCards(Enum):
Berry = '3-2.JPG'
FrontHeal = '3-1.JPG'
DOHeal = '2-2.JPG'
TESSERACT_OCR = r'C:\\Program Files\\tesseract-ORC\\tesseract.exe'
pytesseract.pytesseract.tesseract_cmd = TESSERACT_OCR
# https://github.com/tesseract-ocr
AXIE_WINDOW_PROPERTY = {'left': 0, 'top': 0, 'right': 0, 'bottom': 0, 'width': 0, 'height': 0}
class GalleryLibrary(Enum):
AXIE_NORMAL_Icon = '.\\picture\\gallery\\axies\\status_library\\normal'
AXIE_FIRE_Icon = '.\\picture\\gallery\\axies\\status_library\\fire'
AXIE_DIE_Icon = '.\\picture\\gallery\\axies\\status_library\\die'
AXIE_HP_Icon = '.\\picture\\gallery\\axies\\hp_icon'
AXIE_Sequence = '.\\picture\\gallery\\axies\\sequence'
AXIE_RUNTIME_FULL = '.\\picture\\runtime\\axies\\full'
AXIE_RUNTIME_DEBUFF = '.\\picture\\runtime\\axies\\debuff'
Button_Energy_0_Icon = '.\\picture\\gallery\\button\\energy_0.JPG'
Button_Energy_1_Icon = '.\\picture\\gallery\\button\\energy_1.JPG'
Button_Victory_Icon = '.\\picture\\gallery\\button\\victory.JPG'
Button_Defeated_Icon = '.\\picture\\gallery\\button\\defeated_fight.JPG'
Button_Defeated_Result_Icon = '.\\picture\\gallery\\button\\defeated_result.JPG' # 這是在戰鬥結束後，會有三隻畫加一個defeated的過場動畫的畫面
Button_Start_Mission_Button = '.\\picture\\gallery\\button\\start.JPG'
Button_SLP_Bounds = '.\\picture\\gallery\\button\\bounds_1.JPG'
Button_EndTurn_Button = '.\\picture\\gallery\\button\\end_turn.JPG'
Button_Debuff_1_Icon = '.\\picture\\gallery\\button\\debuff_1.JPG'
Misson_Final_Icon = '.\\picture\\gallery\\mission\\final'
Monster_Runtime_HP = '.\\picture\\runtime\\monsters\\hp'
Cards_Library = '.\\picture\\gallery\\cards'
Temp_Origin = '.\\picture\\origin.JPG'
Temp_Image = '.\\picture\\image_temp.JPG'
Full_Image = '.\\picture\\1.png'
print(GalleryLibrary.AXIE_NORMAL_Icon.value)
print(GalleryLibrary.Cards_Library.value)
CARDS_LIBRARY_LIST = listdir(GalleryLibrary.Cards_Library.value)
AXIE_NORMAL_LIST = listdir(GalleryLibrary.AXIE_NORMAL_Icon.value)
MISSION_ID = 19
pyautogui.PAUSE = 1
MAX_WIN_COUNT = 5
# 1 4
# 0 3 6
# 2 5
# pve mode
AXIE_STATUS = ['normal', 'fire', 'die']
class AXIE_STATUS_Enum(Enum):
Normal = 'normal'
Fire = 'fire'
Die = 'die'
AXIES_FORMATION = [{'id': '1986033', 'position_id': 6, 'status': AXIE_STATUS_Enum.Normal, 'status_count': 0}, # fish
{'id': '6805632', 'position_id': 3, 'status': AXIE_STATUS_Enum.Normal, 'status_count': 0}, # pink
{'id': '7035133', 'position_id': 0, 'status': AXIE_STATUS_Enum.Normal, 'status_count': 0} # green
]
AXIES_CARDS_PIC_PREFIX = {'1986033': '0', '6805632': '1', '7035133': '2'}
# class AXIE_STATUS(Enum):
# NORMAL = 'normal'
# FIRE = 'fire'
# DIE = 'die'
class POSITION_RUEL(Enum):
SINGLE = 'single'
DOUBLE = 'double'
AXIE_RUNTIME_SNAPSHOP_LOCATION = [
{'id': "1986033", 'nickname': 'fish', 'left': -110, 'top': -200, 'right': 85, 'bottom': -15},
{'id': "6805632", 'nickname': 'pink', 'left': -110, 'top': -200, 'right': 85, 'bottom': -15},
{'id': "7035133", 'nickname': 'green', 'left': -110, 'top': -200, 'right': 85, 'bottom': -15},
{'id': "1980381", 'nickname': 'do', 'left': -110, 'top': -200, 'right': 85, 'bottom': -15}
]
AXIE_RUNTIME_DEBUFF_SNAPSHOP_LOCATION = [
{'id': "1986033", 'nickname': 'fish', 'left': -95, 'top': -220, 'right': 75, 'bottom': -130},
{'id': "6805632", 'nickname': 'pink', 'left': -95, 'top': -220, 'right': 75, 'bottom': -130},
{'id': "7035133", 'nickname': 'green', 'left': -95, 'top': -220, 'right': 75, 'bottom': -130}
]
# row is x , col is y
AXIES_POSITION_ID = [
{'id': 0, 'x': 711, 'y': 576, 'row': 0, 'col': 1, 'rule': POSITION_RUEL.DOUBLE},
{'id': 1, 'x': 600, 'y': 474, 'row': 1, 'col': 0, 'rule': POSITION_RUEL.DOUBLE},
{'id': 2, 'x': 600, 'y': 676, 'row': 1, 'col': 2, 'rule': POSITION_RUEL.SINGLE},
{'id': 3, 'x': 485, 'y': 576, 'row': 2, 'col': 1, 'rule': POSITION_RUEL.SINGLE},
{'id': 4, 'x': 377, 'y': 474, 'row': 3, 'col': 0, 'rule': POSITION_RUEL.SINGLE},
{'id': 5, 'x': 377, 'y': 676, 'row': 4, 'col': 2, 'rule': POSITION_RUEL.DOUBLE},
{'id': 6, 'x': 262, 'y': 576, 'row': 5, 'col': 1, 'rule': POSITION_RUEL.DOUBLE}
]
AXIE_PVP_SNAPSHOP = {'left': -90, 'top': -160, 'right': 75, 'bottom': -90}
AXIE_PVP_POSITION_ID = [
{'id': 0, 'x': 772, 'y': 496, 'row': 0, 'col': 1, 'rule': POSITION_RUEL.SINGLE},
{'id': 1, 'x': 867, 'y': 410, 'row': 1, 'col': 0, 'rule': POSITION_RUEL.DOUBLE},
{'id': 2, 'x': 867, 'y': 582, 'row': 1, 'col': 2, 'rule': POSITION_RUEL.DOUBLE},
{'id': 3, 'x': 962, 'y': 496, 'row': 2, 'col': 1, 'rule': POSITION_RUEL.SINGLE},
{'id': 4, 'x': 1057, 'y': 410, 'row': 3, 'col': 0, 'rule': POSITION_RUEL.DOUBLE},
{'id': 5, 'x': 1057, 'y': 582, 'row': 3, 'col': 2, 'rule': POSITION_RUEL.DOUBLE},
{'id': 6, 'x': 1152, 'y': 496, 'row': 4, 'col': 1, 'rule': POSITION_RUEL.SINGLE}
]
class AXIE_DEBUFF(Enum):
Nothing = 0
DISABLE_ONE_CARD = 1
AXIES_NICKNAME = {'1986033': 'Fish', '1980381': 'do', '6805632': 'Pink', '7035133': 'Green'}
AXIE_HEAL_RELATION = [{'id': "1986033", 'healby': '1985659', 'healcard': []},
{'id': "1980381", 'healby': '1980381', 'healcard': ['2-2.JPG']},
{'id': "6805632", 'healby': '1985659', 'healcard': []},
{'id': "7035133", 'healby': '1985659', 'healcard': ['7035133-2.JPG']}
]
MY_AXIES = [
{'id': "1986033", 'nickname': 'fish', 'health': 1315, 'speed': 136, 'skill': 88, 'morale': 80,
'x': 0, 'y': 0, 'debuff': [], 'healByWhichAxie': '1980381',
'cards': [{'name': '1986033-1.JPG', 'attack': 387, 'shield': 96, 'energy': 1, 'heal': 0,
'property': ['attack', 'shield'], 'other': '', 'comboed': False, 'debuff_seq': 3},
{'name': '1986033-2.JPG', 'attack': 161, 'shield': 258, 'energy': 1, 'heal': 0,
'property': ['attack', 'shield'], 'other': 'add 30% shield', 'comboed': False, 'debuff_seq': 0},
{'name': '1986033-3.JPG', 'attack': 354, 'shield': 64, 'energy': 1, 'heal': 0,
'property': ['attack', 'shield', 'speed'], 'other': '', 'comboed': False, 'debuff_seq': 1},
{'name': '1986033-4.JPG', 'attack': 354, 'shield': 96, 'energy': 1, 'heal': 0,
'property': ['attack', 'shield', 'speed'], 'other': '', 'comboed': True, 'debuff_seq': 2},
]},
{'id': "6805632", 'nickname': 'pink', 'health': 1393, 'speed': 91, 'skill': 64, 'morale': 8591,
'x': 0, 'y': 0, 'debuff': [], 'healByWhichAxie': '1985659',
'cards': [{'name': '6805632-1.JPG', 'attack': 241, 'shield': 161, 'energy': 1, 'heal': 0,
'nickname': 'chomp', 'property': ['attack', 'shield'], 'other': 'heal front', 'comboed': True,
'debuff_seq': 3, 'comboed_number': 2},
{'name': '6805632-2.JPG', 'attack': 96, 'shield': 0, 'energy': 0, 'heal': 0,
'nickname': 'mystic rush', 'property': ['attack'], 'other': 'heal front or itself', 'comboed': False,
'debuff_seq': 1},
{'name': '6805632-3.JPG', 'attack': 129, 'shield': 193, 'energy': 1, 'heal': 0,
'nickname': 'sticky goo', 'property': ['attack', 'shield'], 'other': '', 'comboed': False,
'debuff_seq': 0},
{'name': '6805632-4.JPG', 'attack': 322, 'shield': 96, 'energy': 1, 'heal': 0,
'nickname': 'allergic reaction', 'property': ['attack', 'shield'], 'other': '', 'comboed': False,
'debuff_seq': 2},
]},
{'id': "7035133", 'nickname': 'green', 'health': 1664, 'speed': 71, 'skill': 88, 'morale': 85,
'x': 0, 'y': 0, 'debuff': [], 'healByWhichAxie': '1985659',
'cards': [{'name': '7035133-1.JPG', 'attack': 96, 'shield': 96, 'energy': 1, 'heal': 0,
'nickname': 'vegetal bite', 'property': ['attack', 'shield'], 'other': 'heal front', 'comboed': True,
'debuff_seq': 1, 'comboed_number': 1},
{'name': '7035133-2.JPG', 'attack': 0, 'shield': 161, 'energy': 1, 'heal': 387,
'nickname': 'healing aroma', 'property': ['heal'], 'other': 'heal front or itself', 'comboed': False,
'debuff_seq': 2},
{'name': '7035133-3.JPG', 'attack': 145, 'shield': 258, 'energy': 1, 'heal': 0,
'nickname': 'agua stock', 'property': ['attack', 'shield'], 'other': '', 'comboed': False,
'debuff_seq': 0},
{'name': '7035133-4.JPG', 'attack': 225, 'shield': 129, 'energy': 1, 'heal': 0,
'nickname': 'carrot hammer', 'property': ['attack', 'shield'], 'other': '', 'comboed': False,
'debuff_seq': 3},
]},
{'id': "1980381", 'nickname': 'do', 'health': 1393, 'speed': 130, 'skill': 88, 'morale': 88,
'x': 0, 'y': 0, 'debuff': [], 'healByWhichAxie': '1980381',
'cards': [{'name': '2-1.JPG', 'attack': 338, 'shield': 96, 'energy': 1, 'heal': 0,
'property': ['attack', 'shield'], 'other': 'attack 120%', 'comboed': True, 'debuff_seq': 2},
{'name': '2-2.JPG', 'attack': 0, 'shield': 129, 'energy': 1, 'heal': 387,
'property': ['heal', 'shield'], 'other': '', 'comboed': False, 'debuff_seq': 3},
{'name': '2-3.JPG', 'attack': 161, 'shield': 322, 'energy': 1, 'heal': 0,
'property': ['attack', 'shield'], 'other': 'plant target plus', 'comboed': False, 'debuff_seq': 1},
{'name': '2-4.JPG', 'attack': 96, 'shield': 0, 'energy': 0, 'heal': 0,
'property': ['attack', 'get energy'], 'other': 'gain 1 energy', 'comboed': True, 'debuff_seq': 0},
]}
]
MONSTERS_POSITION_ID = [
{'id': 0, 'x': 772, 'y': 496, 'row': 0, 'col': 1, 'rule': POSITION_RUEL.SINGLE},
{'id': 1, 'x': 867, 'y': 410, 'row': 1, 'col': 0, 'rule': POSITION_RUEL.DOUBLE},
{'id': 2, 'x': 867, 'y': 582, 'row': 1, 'col': 2, 'rule': POSITION_RUEL.DOUBLE},
{'id': 3, 'x': 962, 'y': 496, 'row': 2, 'col': 1, 'rule': POSITION_RUEL.SINGLE},
{'id': 4, 'x': 1057, 'y': 410, 'row': 3, 'col': 0, 'rule': POSITION_RUEL.DOUBLE},
{'id': 5, 'x': 1057, 'y': 582, 'row': 3, 'col': 2, 'rule': POSITION_RUEL.DOUBLE},
{'id': 6, 'x': 1152, 'y': 496, 'row': 4, 'col': 1, 'rule': POSITION_RUEL.SINGLE}
]
MONSTER_HP_INFO = {'w': 52, 'h': 22}
POSITION_COORDINATES = [{'id': 0, 'idx_x': 0, 'idx_y': 0},
{'id': 1, 'idx_x': 1, 'idx_y': 0},
{'id': 2, 'idx_x': 1, 'idx_y': 1},
{'id': 3, 'idx_x': 2, 'idx_y': 0},
{'id': 4, 'idx_x': 3, 'idx_y': 0},
{'id': 5, 'idx_x': 3, 'idx_y': 1},
{'id': 6, 'idx_x': 4, 'idx_y': 0}]
MONSTER_MISSION_INFO = \
[{'mission_id': '20', 'mission_number': 3, 'x': 27, 'y': 118, 'w': 290, 'h': 40,
'sub_mission':
[{'mission_id': '20-0', 'monsters_number': 3,
'monster': [
{'id': 0, 'max_hp': 742, 'property': 'plant', 'hp_x': 715, 'hp_y': 400, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 3, 'max_hp': 742, 'property': 'plant', 'hp_x': 907, 'hp_y': 400, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 6, 'max_hp': 742, 'property': 'plant', 'hp_x': 1098, 'hp_y': 400, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0}]},
{'mission_id': '20-1', 'monsters_number': 3,
'monster': [{'id': 0, 'max_hp': 742, 'property': 'plant', 'hp_x': 713, 'hp_y': 400, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 1, 'max_hp': 742, 'property': 'plant', 'hp_x': 810, 'hp_y': 312, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 2, 'max_hp': 742, 'property': 'plant', 'hp_x': 810, 'hp_y': 485, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0}]},
{'mission_id': '20-2', 'monsters_number': 3,
'monster': [
{'id': 0, 'max_hp': 1523, 'property': 'bigstone', 'hp_x': 713, 'hp_y': 230, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 3, 'max_hp': 935, 'property': 'bigstone', 'hp_x': 904, 'hp_y': 230, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 6, 'max_hp': 935, 'property': 'bigstone', 'hp_x': 1096, 'hp_y': 227, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0}]}
]
}, {'mission_id': '19', 'mission_number': 3, 'x': 27, 'y': 118, 'w': 290, 'h': 40,
'sub_mission':
[{'mission_id': '19-0', 'monsters_number': 3,
'monster': [
{'id': 1, 'max_hp': 864, 'property': 'stone', 'hp_x': 947, 'hp_y': 291, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 3, 'max_hp': 864, 'property': 'plant', 'hp_x': 1061, 'hp_y': 392, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 2, 'max_hp': 924, 'property': 'stone', 'hp_x': 947, 'hp_y': 492, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0}]},
{'mission_id': '19-1', 'monsters_number': 3,
'monster': [
{'id': 1, 'max_hp': 803, 'property': '燈籠', 'hp_x': 948, 'hp_y': 328, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 0, 'max_hp': 803, 'property': '燈籠', 'hp_x': 837, 'hp_y': 428, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 2, 'max_hp': 803, 'property': '燈籠', 'hp_x': 948, 'hp_y': 528, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0}]},
{'mission_id': '19-2', 'monsters_number': 3,
'monster': [
{'id': 1, 'max_hp': 1025, 'property': '燈籠', 'hp_x': 948, 'hp_y': 328, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 0, 'max_hp': 924, 'property': 'plant', 'hp_x': 837, 'hp_y': 391, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 2, 'max_hp': 864, 'property': 'stone', 'hp_x': 948, 'hp_y': 490, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0}]}
]
}, {'mission_id': '1', 'mission_number': 1, 'x': 27, 'y': 118, 'w': 290, 'h': 40,
'sub_mission':
[{'mission_id': '1-0', 'monsters_number': 3,
'monster': [
{'id': 1, 'max_hp': 375, 'property': 'stone', 'hp_x': 810, 'hp_y': 316, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 0, 'max_hp': 375, 'property': 'plant', 'hp_x': 714, 'hp_y': 400, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0},
{'id': 2, 'max_hp': 375, 'property': 'stone', 'hp_x': 810, 'hp_y': 486, 'cur_hp': 0, 'idx_x': 0,
'idx_y': 0}]}]}
]
def is_used(file_name):
try:
if not os.path.exists(file_name):
print(file_name, 'not exist return false/')
return False
vHandle = win32file.CreateFile(file_name, win32file.GENERIC_READ, 0, None, win32file.OPEN_EXISTING,
win32file.FILE_ATTRIBUTE_NORMAL, None)
result = bool(int(vHandle) == win32file.INVALID_HANDLE_VALUE)
win32file.CloseHandle(vHandle)
except Exception:
# 檔案不存在也會跳來這
return True
return result
class dictmenu(object):
def __init__(self, dicts):
self.dicts = dicts
self.len = len(dicts)
def value_index(self, key=None, value=None):
# print('dicts data:', self.dicts)
# self.dicts.keys()
for idx in range(self.len):
dict = self.dicts[idx]
if type(dict).__name__ == 'dict':
if key and value:
v = dict[key]
if v == value:
return idx, dict
elif key:
v = dict[key]
return idx, dict
else:
array_dict = dict.values()
for i in range(len(array_dict)):
if value in array_dict:
return idx, dict
# if value in array_dict:
# return array_dict.index(value)
else:
print(dict)
return None, None
# if value in self.dicts.value():
#
# pass
return None, None
def multi_value_index(self, key=None, value=None):
answer_idx = []
answer = []
for idx in range(self.len):
dict = self.dicts[idx]
if type(dict).__name__ == 'dict':
if key:
v = dict[key]
if v == value:
answer_idx.append(idx)
answer.append(dict)
# return idx, dict
else:
array_dict = dict.values()
for i in range(len(array_dict)):
if value in array_dict:
answer_idx.append(idx)
answer.append(dict)
# return idx, dict
else:
print(dict)
return None, None
return answer_idx, answer
def detect_number(image):
rawImage = cv2.imread(image)
hight, width, deep = rawImage.shape
gray = cv2.cvtColor(rawImage, cv2.COLOR_BGR2GRAY)
dst = np.zeros((hight, width, 1), np.uint8)
for i in range(0, hight):
for j in range(0, width):
grayPixel = gray[i, j]
dst[i, j] = 255 - grayPixel
ret, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
string = pytesseract.image_to_string(binary, lang='eng', config='--psm 6 --oem 3 -c '
'tessedit_char_whitelist'
'=0123456789')
isdigit = any(chr.isdigit() for chr in string)
if isdigit:
# print('hp-ocr:', string)
return string
else:
# print('hp-orc can nott detect number: return None:', string)
return None
def phash(path):
img = cv2.imread(path)
img1 = cv2.resize(img, (32, 32), cv2.COLOR_RGB2GRAY)
h, w = img.shape[:2]
vis0 = np.zeros((h, w), np.float32)
vis0[:h, :w] = img1
img_dct = cv2.dct(cv2.dct(vis0))
img_dct.resize(8, 8)
img_list = np.array().flatten(img_dct.tolist())
img_mean = cv2.mean(img_list)
avg_list = ['0' if i < img_mean else '1' for i in img_list]
return ''.join(['%x' % int(''.join(avg_list[x:x + 4]), 2) for x in range(0, 64, 4)])
# Press the green button in the gutter to run the script.
def classify_gray_hist(image1, image2, size=(256, 256)):
# 先計算直方圖
# 幾個參數必須用方括號括起來
# 這裡直接用灰度圖計算直方圖，所以是使用第一個通道，
# 也可以進行通道分離後，得到多個通道的直方圖
# bins 取為16
image1 = cv2.resize(image1, size)
image2 = cv2.resize(image2, size)
hist1 = cv2.calcHist([image1], [0], None, [256], [0.0, 255.0])
hist2 = cv2.calcHist([image2], [0], None, [256], [0.0, 255.0])
# 可以比較下直方圖
# plt.plot(range(256), hist1, 'r')
# plt.plot(range(256), hist2, 'b')
# plt.show()
# 計算直方圖的重合度
degree = 0
for i in range(len(hist1)):
if hist1[i] != hist2[i]:
degree = degree + (1 - abs(hist1[i] - hist2[i]) / max(hist1[i], hist2[i]))
else:
degree = degree + 1
degree = degree / len(hist1)
return degree
# 計算單通道的直方圖的相似值
# 對圖片進行統一化處理
def get_thum(image, size=(64, 64), greyscale=False):
# 利用image對影象大小重新設定, Image.ANTIALIAS為高質量的
image = image.resize(size, Image.ANTIALIAS)
if greyscale:
# 將圖片轉換為L模式，其為灰度圖，其每個畫素用8個bit表示
image = image.convert('L')
return image
# 計算圖片的餘弦距離
def image_similarity_vectors_via_numpy(image1, image2):
image1 = get_thum(image1)
image2 = get_thum(image2)
images = [image1, image2]
vectors = []
norms = []
for image in images:
vector = []
for pixel_tuple in image.getdata():
vector.append(average(pixel_tuple))
vectors.append(vector)
# linalg=linear（線性）+algebra（代數），norm則表示範數
# 求圖片的範數？？
norms.append(linalg.norm(vector, 2))
a, b = vectors
a_norm, b_norm = norms
# dot返回的是點積，對二維陣列（矩陣）進行計算
res = dot(a / a_norm, b / b_norm)
return res
def calculate(image1, image2):
hist1 = cv2.calcHist([image1], [0], None, [256], [0.0, 255.0])
hist2 = cv2.calcHist([image2], [0], None, [256], [0.0, 255.0])
# 計算直方圖的重合度
degree = 0
for i in range(len(hist1)):
if hist1[i] != hist2[i]:
degree = degree + (1 - abs(hist1[i] - hist2[i]) / max(hist1[i], hist2[i]))
else:
degree = degree + 1
degree = degree / len(hist1)
return degree
def detect_card():
card_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
img = cv2.imread('2.JPG')
gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
# faces = card_cascade.detectMultiScale(
# gray,
# scaleFactor=1.08,
# minNeighbors=5,
# minSize=(32, 32))
#
# for (x, y, w, h) in faces:
# cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.namedWindow('img', cv2.WINDOW_NORMAL)
cv2.imshow('img', img)
# cv2.imwrite('result.jpg',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
def snapshot(handle, filepath=GalleryLibrary.Full_Image.value, sleft=0, stop=0,
sright=0, sbot=0):
b = os.path.dirname(filepath)
os.makedirs(b, exist_ok=True)
setForegroundWindows(handle)
image = ImageGrab.grab(bbox=(sleft, stop, sright, sbot))
while True:
isused = is_used(filepath)
if isused:
continue
else:
time.sleep(400 / 1000)
image.save(filepath)
break
def cmpHash(hash1, hash2):
n = 0
# hash長度不同反回-1，此時不能比較
if len(hash1) != len(hash2):
return -1
# 如果hash長度相同遍歷長度
for i in range(len(hash1)):
if hash1[i] != hash2[i]:
n = n + 1
return n
def search_image_position(handle, file1, file2, show, thresh_hold, click=True, shot=True, coordinate='absolute'):
img = cv2.imread(file1)
img_w = img.shape[1]
img_h = img.shape[0]
img2 = img.copy()
template = cv2.imread(file2)
w = template.shape[1]
h = template.shape[0]
# print(w, h)
# All the 6 methods for comparison in a list
# methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR',
# 'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']
methods = ['cv2.TM_CCOEFF']
for meth in methods:
img = img2.copy()
method = eval(meth)
# Apply template Matching
res = cv2.matchTemplate(img, template, method)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
# If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
top_left = min_loc
else:
top_left = max_loc
bottom_right = (top_left[0] + w, top_left[1] + h)
cv2.rectangle(img, top_left, bottom_right, 255, 2)
plt.subplot(121), plt.imshow(res, cmap='gray')
plt.title('Matching Result'), plt.xticks([]), plt.yticks([])
plt.subplot(122), plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title('Detected Point'), plt.xticks([]), plt.yticks([])
plt.suptitle(meth)
# print(top_left, bottom_right)
if coordinate == 'absolute':
c_left = top_left[0] + AXIE_WINDOW_PROPERTY['left']
c_top = top_left[1] + AXIE_WINDOW_PROPERTY['top']
c_right = bottom_right[0] + AXIE_WINDOW_PROPERTY['left']
c_bottom = bottom_right[1] + AXIE_WINDOW_PROPERTY['top']
else:
c_left = top_left[0]
c_top = top_left[1]
c_right = bottom_right[0]
c_bottom = bottom_right[1]
shutil.copy2(file2, GalleryLibrary.Temp_Origin.value)
temp_card = GalleryLibrary.Temp_Image.value
if shot and coordinate == 'absolute':
snapshot(axie_handle, temp_card, c_left, c_top, c_right, c_bottom)
else:
cropped = img[c_top:c_bottom, c_left:c_right]
cv2.imwrite(temp_card, cropped)
# print(c_left, c_top, c_right, c_bottom)
c_x = int(round((top_left[0] + bottom_right[0]) / 2, 0))
c_y = int(round((top_left[1] + bottom_right[1]) / 2, 0))
# print("image position:", c_x, c_y)
# img1 = cv2.imread(file2) # 圖庫裡的
# img2 = cv2.imread(temp_card) # 即時抓取的圖
# degree = classify_gray_hist(img1, img2)
img1 = Image.open(file2)
img2 = Image.open(temp_card)
# degree = image_similarity_vectors_via_numpy(img1, img2)
hash1 = imagehash.average_hash(img1)
hash2 = imagehash.average_hash(img2)
degree1 = hash1 - hash2
hash1 = imagehash.dhash(img1)
hash2 = imagehash.dhash(img2)
degree2 = hash1 - hash2
hash1 = imagehash.phash(img1)
hash2 = imagehash.phash(img2)
degree3 = hash1 - hash2
degree = degree1 + degree2 + degree3
# print('degree:', degree1, degree2, degree3, degree)
if (degree <= thresh_hold) and click:
pg.moveTo(c_x + AXIE_WINDOW_PROPERTY['left'], c_y + AXIE_WINDOW_PROPERTY['top'], duration=0.2)
pg.click(c_x + AXIE_WINDOW_PROPERTY['left'], c_y + AXIE_WINDOW_PROPERTY['top'], duration=0.2)
if show:
plt.show()
if coordinate == 'absolute':
x = c_x + AXIE_WINDOW_PROPERTY['left']
y = c_y + AXIE_WINDOW_PROPERTY['top']
else:
x = c_x
y = c_y
return degree, x, y
def compare_hash(file1, file2):
img1 = Image.open(file1)
img2 = Image.open(file2)
# degree = image_similarity_vectors_via_numpy(img1, img2)
hash1 = imagehash.average_hash(img1)
hash2 = imagehash.average_hash(img2)
degree1 = hash1 - hash2
hash1 = imagehash.dhash(img1)
hash2 = imagehash.dhash(img2)
degree2 = hash1 - hash2
hash1 = imagehash.phash(img1)
hash2 = imagehash.phash(img2)
degree3 = hash1 - hash2
degree = degree1 + degree2 + degree3
# print(degree1, degree2, degree3, degree)
return degree
def config_axie_window():
classname = "UnityWndClass"
titlename = "Axie Infinity"
handle = win32gui.FindWindow(classname, titlename)
if handle != 0:
global AXIE_WINDOW_PROPERTY
left, top, right, bottom = win32gui.GetWindowRect(handle)
width, height = (right - left), (bottom - top)
AXIE_WINDOW_PROPERTY['left'] = left
AXIE_WINDOW_PROPERTY['top'] = top
AXIE_WINDOW_PROPERTY['right'] = right
AXIE_WINDOW_PROPERTY['bottom'] = bottom
AXIE_WINDOW_PROPERTY['width'] = width
AXIE_WINDOW_PROPERTY['height'] = height
setForegroundWindows(handle)
print(AXIE_WINDOW_PROPERTY)
return handle
# 將視窗移到最上層，並且拍照
def setForegroundWindows(handle):
text = win32gui.SetForegroundWindow(handle)
def randon_cards(cards, size=10):
idxs = np.random.randint(0, len(cards), size=size)
a = [cards[i] for i in idxs]
return a
def test_all_card(handle):
click_end_turn_button = False
ramdon_cards = sample(CARDS_LIBRARY_LIST, 12)
# ramdon_cards = randon_cards(CARDS_LIBRARY_LIST, 10)
print(ramdon_cards)
for f in CARDS_LIBRARY_LIST:
snapshot(handle, sleft=AXIE_WINDOW_PROPERTY['left'], stop=AXIE_WINDOW_PROPERTY['top'],
sright=AXIE_WINDOW_PROPERTY['right'], sbot=AXIE_WINDOW_PROPERTY['bottom'])
fullpath = join(GalleryLibrary.Cards_Library.value, f)
print(fullpath)
search_image_position(handle, GalleryLibrary.Full_Image.value, fullpath, show=False, click=False,
thresh_hold=0.65)
time.sleep(1)
def black_cards(path, x, y):
# print(x, y)
# pic = '.\\picture\\temp_hp_number_' + id + '.JPG'
img = cv2.imread(path)
# print('img shape:', img.shape)
left = x - 40
top = y - 50
right = x + 40
bottom = y + 50
# pg.moveTo(left, top)
# time.sleep(3)
# pg.moveTo(right, bottom)
# time.sleep(3)
# print(left, top, right, bottom)
cropped = img[top:bottom, left:right]
for x in range(left, right):
for y in range(top, bottom):
a = x - AXIE_WINDOW_PROPERTY['left']
b = y - AXIE_WINDOW_PROPERTY['top']
img[b, a] = (0, 0, 0)
cv2.imwrite(path, img)
# cv2.imshow('a',img)
# plt.show()
# hsv=cv2.cvtColor(cropped,cv2.COLOR_BGR2GRAY)
# h, w, d = cropped.shape
# # print(w, h)
# cropped = cv2.resize(cropped, (w * 5, h * 5))
# cv2.imwrite(path, cropped)
def create_empty_array(x):
empty_array = []
for i in range(0, x):
empty_array.append([]) # 令其轉為1維串列形式
return empty_array
def detect_cards():
cards_library = []
cards_count = 0
snapshot(axie_handle, sleft=AXIE_WINDOW_PROPERTY['left'], stop=AXIE_WINDOW_PROPERTY['top'],
sright=AXIE_WINDOW_PROPERTY['right'], sbot=AXIE_WINDOW_PROPERTY['bottom'])
count = 0
while count < 3:
for f in CARDS_LIBRARY_LIST:
if 'black.JPG' in f :
continue
card_id = str(f[:7])
axie_formation = dictmenu(AXIES_FORMATION)
idx, myaxie = axie_formation.value_index('id', card_id)
if myaxie and myaxie['status'] != AXIE_STATUS_Enum.Normal:
continue
fullpath = join(GalleryLibrary.Cards_Library.value, f)
# search cards
threashold = 25
degree, x, y = search_image_position(axie_handle, GalleryLibrary.Full_Image.value, fullpath, False,
threashold, click=False)
# if '1-1.JPG' in f:
# print(f,":",degree)
if degree <= threashold:
# f_prefix_idx=int(f[:1])-1
cards_library.append(f)
black_cards(GalleryLibrary.Full_Image.value, x, y)
# cards_count = cards_count+1
count = count + 1
# print(degree, x, y)
print(cards_library, len(cards_library))
return len(cards_library), cards_library
def bounds_check(center_x, center_y):
bounds_degree, x, y = search_image_position(axie_handle, GalleryLibrary.Full_Image.value,
GalleryLibrary.Button_SLP_Bounds.value, show=False, thresh_hold=12,
click=False)
if bounds_degree <= 12:
print('[STATUS-WIN] SLP Bounds(拿SLP畫面)，點擊離開此畫面 degree ', bounds_degree)
pg.click(center_x, center_y, duration=0.2)
time.sleep(10)
return True
return False
def start_mission_check():
degree_start_mission, x, y = search_image_position(axie_handle, GalleryLibrary.Full_Image.value,
GalleryLibrary.Button_Start_Mission_Button.value, show=False,
thresh_hold=3, click=True)
if degree_start_mission <= 4:
print('[STATUS- new game] start_mission:', degree_start_mission)
time.sleep(5)
return True
return False
def fight_result_check(center_x, center_y):
degree_win, x, y = search_image_position(axie_handle, GalleryLibrary.Full_Image.value,
GalleryLibrary.Button_Victory_Icon.value, show=False,
thresh_hold=3, click=False)
degree_lost, x, y = search_image_position(axie_handle, GalleryLibrary.Full_Image.value,
GalleryLibrary.Button_Defeated_Icon.value, show=False,
thresh_hold=3, click=False)
# print('degree win/lost:', degree_win, degree_lost)
#
if degree_win <= 3 or degree_lost <= 3:
corner_x = AXIE_WINDOW_PROPERTY['right'] - 20
corner_y = AXIE_WINDOW_PROPERTY['bottom'] - 20
print('[STATUS-WIN], 點擊，離開關卡勝利畫面')
pg.moveTo(corner_x, corner_y, duration=0.2)
# 點擊，離開 關卡說你勝利的畫面
pg.click(corner_x, corner_y, duration=0.2)
time.sleep(5)
print('[STATUS-WIN], 點擊，離開 經驗值獎勵畫面, 若沒體力則不會有這畫面')
# 點擊，離開 恭喜勝利畫面(包含經驗值畫面)
pg.click(center_x, center_y, duration=0.2)
time.sleep(5)
print('[STATUS-WIN], 點擊，離開 SLP獎勵畫面, 若沒體力則不會有這畫面')
# 點擊，離開 恭喜勝利畫面(包含經驗值畫面)
pg.click(center_x, center_y, duration=0.2)
time.sleep(5)
if degree_win <= 3:
return True, degree_win
else:
return False, degree_lost
return None, None
def snapshot_axies_runtime():
for formation in AXIES_FORMATION:
axie_id = formation['id']
axie_position_id = formation['position_id']
axie_position = AXIES_POSITION_ID[axie_position_id]
axie_center_x = axie_position['x'] + AXIE_WINDOW_PROPERTY['left']
axie_center_y = axie_position['y'] + AXIE_WINDOW_PROPERTY['top']
# print(AXIE_WINDOW_PROPERTY['left'], AXIE_WINDOW_PROPERTY['top'], axie_center_x, axie_center_y)
#
# pg.moveTo(axie_center_x, axie_center_y, duration=0.3)
# time.sleep(2)
# #
# r取得runtime axies的完整圖像
for shape in AXIE_RUNTIME_SNAPSHOP_LOCATION:
if axie_id in shape['id']:
left = axie_center_x + shape['left']
top = axie_center_y + shape['top']
right = axie_center_x + shape['right']
bottom = axie_center_y + shape['bottom']
path = GalleryLibrary.AXIE_RUNTIME_FULL.value + '\\' + axie_id + '.JPG'
snapshot(axie_handle, filepath=path, sleft=left, stop=top,
sright=right, sbot=bottom)
# 取得axie頭上的debuff圖像
for shape in AXIE_RUNTIME_DEBUFF_SNAPSHOP_LOCATION:
if axie_id in shape['id']:
left = axie_center_x + shape['left']
top = axie_center_y + shape['top']
right = axie_center_x + shape['right']
bottom = axie_center_y + shape['bottom']
path = GalleryLibrary.AXIE_RUNTIME_DEBUFF.value + '\\' + axie_id + '.JPG'
snapshot(axie_handle, filepath=path, sleft=left, stop=top,
sright=right, sbot=bottom)
def detect_axie_hp(status):
# find all axies's position
# 移除沒有hp值的axie
# for f in status:
# id = f['id']
# status = f['status']
# status_id = f['status_id']
# for h in axie_hp_status:
# if id in h['id']:
# h['status'] = status
# if status_id != 0:
# axie_hp_status.remove(h)
# print('which axies detect hp:', axie_hp)
MAX = 7 # 找血量 抓5次的狀況
retry = 3 #
count = 0
# len(axie_hp_status)
for axie_stat in status:
axie_stat.update({'cur_hp': 0})
axie_stat.update({'debuff': AXIE_DEBUFF.Nothing})
# 移除沒有hp值的axie, 0是normal，不是0代表沒有血量條了
status = axie_stat['status']
if status != 'normal':
continue
id = axie_stat['id']
debuff = []
debuff_threshold = 50
# while retry > 0:
# count = 0
hp = []
while count < MAX:
# snapshot_axies_runtime()
# 檢查debuff
axie_debuff_path = GalleryLibrary.AXIE_RUNTIME_DEBUFF.value + '\\' + id + '.JPG'
degree, x, y = search_image_position(axie_handle, axie_debuff_path,
GalleryLibrary.Button_Debuff_1_Icon.value, show=False,
thresh_hold=debuff_threshold, click=False, coordinate='relative')
# print('debuff degree,x,y:', degree, x, y)
debuff.append(degree)
# 檢查hp
normal_axie = GalleryLibrary.AXIE_RUNTIME_FULL.value + '\\' + id + '.JPG'
# axie_pic = '.\\picture\\temp_axie.JPG'
for f in listdir(GalleryLibrary.AXIE_HP_Icon.value):
file = join(GalleryLibrary.AXIE_HP_Icon.value, f)
degree, x, y = search_image_position(axie_handle, normal_axie, file,
show=False, thresh_hold=80, click=False, coordinate='relative')
# print('hp degree,x,y:', degree, x, y)
pic = '.\\picture\\temp_hp_number_' + id + '.JPG'
img = cv2.imread(normal_axie)
# print('img shape:', img.shape)
left = x + 13
top = y - 10
right = x + 65
bottom = y + 10
cropped = img[top:bottom, left:right]
h, w, d = cropped.shape
# print(w, h)
cropped = cv2.resize(cropped, (w * 10, h * 10))
cv2.imwrite(pic, cropped)
# 側測數字
temp_hp_number = detect_number(pic)
hp_number = ''
if temp_hp_number:
for chr in temp_hp_number:
# print(chr, "is digit?", chr.isdigit())
if chr.isdigit():
hp_number = hp_number + chr
else:
break
# print('type hp:',type(hp))
# print('hp :',hp)
hp.append(hp_number)
print(id, ' hp is ', hp_number)
# print(hp_number.rstrip('\r\n'))
# 這段容易有處理影像的bug，先high起來
# pic = '.\\picture\\temp_hp_len_' + id + '.JPG'
# left = x + 55
# top = y - 10
# right = x + 130
# bottom = y + 10
# cropped = img[top:bottom, left:right]
# cv2.imwrite(pic, cropped)
count = count + 1
if len(hp_number) >= 3:
break
if hp and len(hp):
# print()
axie_stat.update({'cur_hp': int(max(hp))})
if len(debuff):
degree = int(sum(debuff) / len(debuff))
else:
degree = None
# print("final debuff degree:", degree)
if degree and degree <= debuff_threshold:
# f['debuff'].append(AXIE_DEBUFF.DISABLE_ONE_CARD)
axie_stat.update({'debuff': AXIE_DEBUFF.DISABLE_ONE_CARD})
# print(hp)
# print(axie_hp_status)
# return axie_hp_status
# return status
def snapshot_axies_pvp_runtime():
# AXIE_PVP_SNAPSHOP = {'left': -90, 'top': -160, 'right': 75, 'bottom': -20}
# AXIE_PVP_POSITION_ID = [
# {'id': 0, 'x': 772, 'y': 496, 'row': 0, 'col': 1, 'rule': POSITION_RUEL.SINGLE},
axie_pvp_hp_status = []
for position in AXIE_PVP_POSITION_ID:
axie_position_id = position['id']
axie_center_x = position['x'] + AXIE_WINDOW_PROPERTY['left']
axie_center_y = position['y'] + AXIE_WINDOW_PROPERTY['top']
left = axie_center_x + AXIE_PVP_SNAPSHOP['left']
top = axie_center_y + AXIE_PVP_SNAPSHOP['top']
right = axie_center_x + AXIE_PVP_SNAPSHOP['right']
bottom = axie_center_y + AXIE_PVP_SNAPSHOP['bottom']
# print(AXIE_WINDOW_PROPERTY['left'], AXIE_WINDOW_PROPERTY['top'], axie_center_x, axie_center_y)