Minimap Skalierung. Fixes #1
This commit is contained in:
@@ -6,15 +6,32 @@ import random
|
||||
import win32api, win32con
|
||||
import time
|
||||
from PIL import Image, ImageDraw
|
||||
import aoe_recognition_ocr
|
||||
|
||||
import aoe_commands
|
||||
DELTA = 1
|
||||
|
||||
class InfoHolder:
|
||||
def __init__(self):
|
||||
self.data = {}
|
||||
|
||||
INFO = InfoHolder()
|
||||
|
||||
MAPSIZES = {
|
||||
'WINZIG': 120,
|
||||
'KLEIN': 144,
|
||||
'MITTEL': 168,
|
||||
'NORMAL': 200,
|
||||
'GROSS': 220,
|
||||
'RIESIG': 240
|
||||
}
|
||||
|
||||
def wait_for_start():
|
||||
start_started = False
|
||||
while 1:
|
||||
if pyautogui.locateOnScreen('images/startscreen.png', confidence=0.9) != None:
|
||||
print("Startscreen found")
|
||||
eval_startscreen()
|
||||
start_started = True
|
||||
time.sleep(0.5)
|
||||
elif start_started:
|
||||
@@ -24,6 +41,17 @@ def wait_for_start():
|
||||
print("Startscreen not found")
|
||||
time.sleep(0.5)
|
||||
|
||||
def eval_startscreen():
|
||||
start_info = aoe_recognition_ocr.recognize_text(pyautogui.screenshot())
|
||||
|
||||
|
||||
mapsizerec = re.findall(r'KARTENGROSSE +(\w+) ', start_info)
|
||||
if len(mapsizerec) == 1 and mapsizerec[0] in MAPSIZES.keys():
|
||||
INFO.data['mapsize'] = MAPSIZES[mapsizerec[0]]
|
||||
print("Kartengroeße erkannt:", INFO.data['mapsize'])
|
||||
else:
|
||||
print("Startscreen text: ", start_info)
|
||||
|
||||
def find_top(image,x,y,classifyer):
|
||||
left = (x,y)
|
||||
print(f"xy: {x},{y}")
|
||||
@@ -121,6 +149,10 @@ def find_town_center_in_map():
|
||||
return (left + 1, top + 1)
|
||||
return (0,0)
|
||||
|
||||
def scale_to_minimap_size(pixels):
|
||||
"Use MITTEL sized maps for inputs"
|
||||
return int(pixels / (INFO.data["mapsize"] / (MAPSIZES["MITTEL"])))
|
||||
|
||||
def initial_scout_trace():
|
||||
walk_further_out = 3
|
||||
outer_circle = [(1730, 1072), (1570,986),(1730, 898), (1890, 984), (1730, 1072)]
|
||||
@@ -138,7 +170,7 @@ def initial_scout_trace():
|
||||
by = find_bottom(image, x, y, not_black)
|
||||
print(f"Town center x: {x}, y:{y} gave us minimal and maximal x values to watch: lx: {lx}, rx={rx}")
|
||||
scout_trace = []
|
||||
delta = 4
|
||||
delta = scale_to_minimap_size(4)
|
||||
for yy in range(by, ty, -5):
|
||||
xx = find_left(image, x, yy, not_black) - delta
|
||||
scout_trace.append((xx,yy))
|
||||
@@ -152,7 +184,7 @@ def initial_scout_trace():
|
||||
yy = find_bottom(image, xx, y, not_black) + delta
|
||||
scout_trace.append((xx,yy))
|
||||
|
||||
delta = 12
|
||||
delta = scale_to_minimap_size(12)
|
||||
for yy in range(by, ty, -5):
|
||||
xx = find_left(image, x, yy, not_black) - delta
|
||||
scout_trace.append((xx,yy))
|
||||
@@ -166,7 +198,7 @@ def initial_scout_trace():
|
||||
yy = find_bottom(image, xx, y, not_black) + delta
|
||||
scout_trace.append((xx,yy))
|
||||
|
||||
delta = 20
|
||||
delta = scale_to_minimap_size(20)
|
||||
for yy in range(by, ty, -5):
|
||||
xx = find_left(image, x, yy, not_black) - delta
|
||||
scout_trace.append((xx,yy))
|
||||
|
||||
28
aoe_recognition_ocr.py
Normal file
28
aoe_recognition_ocr.py
Normal file
@@ -0,0 +1,28 @@
|
||||
# C:\Program Files\Tesseract-OCR\tesseract.exe
|
||||
import os
|
||||
os.environ['path'] += ";C:\\Program Files\\Tesseract-OCR"
|
||||
|
||||
import cv2
|
||||
import pytesseract
|
||||
import numpy as np
|
||||
import re
|
||||
|
||||
# https://towardsdatascience.com/optical-character-recognition-ocr-with-less-than-12-lines-of-code-using-python-48404218cccb
|
||||
def recognize_text(img_pil):
|
||||
#img = cv2.imread('ocr_test.png')
|
||||
img = np.asarray(img_pil)
|
||||
gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
|
||||
gray, img_bin = cv2.threshold(gray,128,255,cv2.THRESH_BINARY | cv2.THRESH_OTSU)
|
||||
gray = cv2.bitwise_not(img_bin)
|
||||
|
||||
kernel = np.ones((2, 1), np.uint8)
|
||||
img = cv2.erode(gray, kernel, iterations=1)
|
||||
img = cv2.dilate(img, kernel, iterations=1)
|
||||
out_below = pytesseract.image_to_string(img)
|
||||
out_below = re.sub(r'[^a-zA-Z0-9_\s]', '', out_below)
|
||||
out_below = re.sub(r'[\s]', ' ', out_below).strip()
|
||||
|
||||
print("OCR OUTPUT:", out_below)
|
||||
return out_below
|
||||
|
||||
#recognize_text(cv2.imread('ocr_test.png'))
|
||||
@@ -10,6 +10,7 @@ Preparation
|
||||
- pip install keyboard
|
||||
- pip install pyautogui
|
||||
- pip install opencv-python
|
||||
- pip install pytesseract
|
||||
|
||||
|
||||
Start
|
||||
@@ -33,3 +34,4 @@ Interesting Links
|
||||
- [Draw Image Example](http://effbot.org/imagingbook/imagedraw.htm)
|
||||
- [AoE Hotykey editor](https://aokhotkeys.appspot.com/editor)
|
||||
- [Structureing your python project](https://python-docs.readthedocs.io/en/latest/writing/structure.html)
|
||||
- [Download Tesseract for Windows](https://github.com/UB-Mannheim/tesseract/wiki)
|
||||
|
||||
Reference in New Issue
Block a user