Minimap Skalierung. Fixes #1

This commit is contained in:
2020-11-09 19:27:19 +01:00
parent e4e91d5994
commit 7f731cb9fd
3 changed files with 65 additions and 3 deletions

View File

@@ -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
View 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'))

View File

@@ -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)