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g.py
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g.py
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import numpy as np
# from PIL import ImageGrab
import argparse
import cv2
import pyvjoy
import sys
import recognizer
import grabscreen
import threading
import pyautogui as gui
import directInput
from time import sleep
###################################################################### Constants
WINDOW_START_X = 0
WINDOW_START_Y = 0
WINDOW_WIDTH = 1920
WINDOW_HEIGHT = 1080
MAX_VJOY = 32767
MID_VJOY = 16383
###################################################################### Constants
ap = argparse.ArgumentParser()
ap.add_argument("-t", "--team", required=True, help="team to deploy GPY in")
args = vars(ap.parse_args())
team = args["team"]
###################################################################### Screen Capture
def process_img(image):
original_image = image
# convert to gray
processed_img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# edge detection
processed_img = cv2.Canny(processed_img, threshold1=200, threshold2=300)
return processed_img
def capture():
while True:
screen = np.array(ImageGrab.grab(bbox=(WINDOW_START_X, WINDOW_START_Y, WINDOW_START_X+WINDOW_WIDTH, WINDOW_START_Y+WINDOW_HEIGHT)))
new_screen = process_img(screen)
cv2.imshow('window', new_screen)
cv2.imshow('window', cv2.cvtColor(screen, cv2.COLOR_BGR2RGB))
if cv2.waitKey(25) & 0xFF == ord('q'):
cv2.destroyAllWindows()
break
###################################################################### Screen Capture
###################################################################### Controller
controller = pyvjoy.VJoyDevice(1)
def square_in(startX, startY, endX, endY, windowCenterX, windowCenterY):
midTargetX = (startX + endX) / 2
midTargetY = (startY + endY) / 2
diffX = midTargetX - windowCenterX
diffY = midTargetY - windowCenterY
# print("diffX = ", diffX)
# print("diffY = ", diffY)
# return
if diffY < 0:
verticalBias = -1
tempDiffY = -diffY
else:
verticalBias = 1
tempDiffY = diffY
if diffX < 0:
horizontalBias = -1
tempDiffX = -diffX
else:
horizontalBias = 1
tempDiffX = diffX
if tempDiffX == 0 and tempDiffY == 0:
controller.data.wAxisX = MID_VJOY
controller.data.wAxisY = MID_VJOY
controller.update()
return
if tempDiffX > tempDiffY:
axisRatio = tempDiffY / tempDiffX
controller.data.wAxisX = MID_VJOY + int(MID_VJOY * horizontalBias)
controller.data.wAxisY = MID_VJOY + int((MID_VJOY * axisRatio) * verticalBias)
controller.update()
else:
axisRatio = tempDiffX / tempDiffY
controller.data.wAxisX = MID_VJOY + int((MID_VJOY * axisRatio) * horizontalBias)
controller.data.wAxisY = MID_VJOY + int(MID_VJOY * verticalBias)
controller.update()
print("controller.data.wAxisX = {:.0f}%".format((controller.data.wAxisX - MID_VJOY) / MAX_VJOY * 200))
print("controller.data.wAxisY = {:.0f}%".format((controller.data.wAxisY - MID_VJOY) / MAX_VJOY * 200))
###################################################################### Controller
###################################################################### flick_movement
def flick_movement(startX, startY, endX, endY):
# distance = (startX+endX)
update_time = gui.MINIMUM_DURATION
positionAdjustment = 30
positionX = (startX+endX)/2
positionY = startY + 0.4*(endY - startY)
print ('Moving to target location: ', positionX, positionY)
sourceX = gui.position()[0]
sourceY = gui.position()[1]
# gui.moveTo((startX+endX)/2, (startY+endY)/2, duration=0.0)
# gui.click(x=positionX, y=positionY, interval=update_time)
# gui.moveTo(positionX, positionY, gui.MINIMUM_DURATION, gui.easeOutQuad)
gui.moveTo(positionX, positionY, 0.0)
# gui.moveTo(positionX, positionY, 0.0)
# sleep(1)
# if (startX>sourceX and startY<sourceY):
# gui.moveTo(positionX-positionAdjustment, positionY+positionAdjustment, update_time, gui.easeOutQuad)
# print ('1')
# elif (startX>sourceX and startY>sourceY):
# gui.moveTo(positionX-positionAdjustment, positionY-positionAdjustment, update_time, gui.easeOutQuad)
# print ('2')
# elif (startX<sourceX and startY>sourceY):
# gui.moveTo(positionX+positionAdjustment, positionY-positionAdjustment, update_time, gui.easeOutQuad)
# print ('3')
# else:
# gui.moveTo(positionX+positionAdjustment, positionY+positionAdjustment, update_time, gui.easeOutQuad)
# print ('4')
print("Intermediate mouse pointer location", gui.position())
# gui.moveTo(positionX, positionY, update_time)
gui.click()
gui.click()
gui.click()
gui.click()
gui.click()
# print("Current mouse pointer location", gui.position())
###################################################################### flick_movement
###################################################################### Methods for Navigation
def draw_lines(img, lines):
for line in lines:
coords = line[0]
cv2.line(img, (coords[0], coords[1]), (coords[2], coords[3]), 255, 3)
cv2.circle(img, (coords[0], coords[1]), 10, 255, 2)
coords = lines[0][0]
cv2.line(img, (coords[0], coords[1]), (coords[2], coords[3]), 255, 20)
def draw_processed_lines(img, procLines):
for line in procLines:
# print("{}".format(line))
cv2.line(img, (line[0],line[1]), (line[2],line[3]), 255, 3)
cv2.circle(img, (line[0], line[1]), 10, 255, 2)
def roi(img, vertices):
mask = np.zeros_like(img)
cv2.fillPoly(mask, vertices, 255)
masked = cv2.bitwise_and(img, mask)
return masked
def processLines(lines):
M_TRES = 0.5
C_TRES = 0.5
MAX_LINES = 8
metaLines = []
newLines = []
i_newLines = -1
try:
# Store lines first
for line in lines:
x1,y1,x2,y2 = line[0]
# print('//////////\n\n{} {} {} {}'.format(x1,y1,x2,y2))
if x2-x1 == 0:
m = 999999
else:
m = (y2-y1) / (x2-x1)
c = y2 - m*x2
if m == 0:
if x1 < x2:
metaLines.append([x1,y1,x2,y2,m,c,False])
else:
metaLines.append([x2,y2,x1,y1,m,c,False])
else:
if y1 < y2:
metaLines.append([x2,y2,x1,y1,m,c,False])
else:
metaLines.append([x1,y1,x2,y2,m,c,False])
# print("{}".format(metaLines))
for i in range(MAX_LINES):
breaker = True
for metaLine in metaLines:
if not metaLine[6]:
breaker = False
newLines.append(metaLine)
i_newLines += 1
metaLine[6] = True
break
if breaker:
break
for metaLine in metaLines:
if not metaLine[6]:
if (
metaLine[4] < newLines[i_newLines][4]*(1+M_TRES) and
metaLine[4] > newLines[i_newLines][4]*(1-M_TRES) and
metaLine[5] < newLines[i_newLines][5]*(1+C_TRES) and
metaLine[5] > newLines[i_newLines][5]*(1-C_TRES)
):
# Visited
metaLine[6] = True
# if not vertical
if metaLine[2] - metaLine[0] != 0:
if newLines[i_newLines][1] < metaLine[1]:
newLines[i_newLines][1] = metaLine[1]
newLines[i_newLines][0] = metaLine[0]
if newLines[i_newLines][3] > metaLine[3]:
newLines[i_newLines][3] = metaLine[3]
newLines[i_newLines][2] = metaLine[2]
return newLines
except TypeError:
print("No lines found!")
return None
def findLineLength(line):
diffx = line[2] - line[0]
diffy = line[3] - line[1]
return np.sqrt(diffx*diffx + diffy*diffy)
###################################################################### Methods for Navigation
###################################################################### Main
# scannerThread = threading.Thread(target=ObjectDetectionDeepLearning.deep_learning_object_detection.runDeepLearningObjectDetection)
# scannerThread.start()
myVar = 0
tres1 = 160
tres_gap = 10
minLineLength = 40
maxLineGap = 5
threshold = 1
while True:
myVar = myVar +1
screen = cv2.cvtColor(np.array(grabscreen.grab_screen(region=(0, 30, 800, 540))), cv2.COLOR_BGR2RGB)
startX, startY, endX, endY = recognizer.recognize(screen, args["team"])
if startX != -1 and startY != -1:
# for objectCoord in objectArray:
# print(objectCoord[1], objectCoord[2], objectCoord[3], objectCoord[4])
# square_in(objectCoord[1], objectCoord[2], objectCoord[3], objectCoord[4], WINDOW_START_X+(WINDOW_WIDTH/2), WINDOW_START_Y+(WINDOW_HEIGHT/2))
# flickMovementThread = threading.Thread(target=flick_movement, args=[startX, startY, endX, endY])
# flickMovementThread.start()
print ("Shoot him!!!!!!!!!!")
flick_movement(startX, startY, endX, endY)
# flick_movement(objectCoord[1], objectCoord[2], objectCoord[3], objectCoord[4])
# break
# print('-------------------------------------------------- ', myVar)
else:
processedScreen = cv2.cvtColor(screen, cv2.COLOR_BGR2GRAY)
processedScreen = cv2.equalizeHist(processedScreen)
bg_img = cv2.dilate(processedScreen, np.ones((7,7), np.uint8))
processedScreen = 255 - cv2.absdiff(processedScreen, bg_img)
norm_img = processedScreen.copy()
cv2.normalize(processedScreen, norm_img, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8UC1)
tempTres = 200
processedScreen = cv2.Canny(processedScreen, tempTres, tempTres+1, L2gradient=False)
# vertices = np.array([
# [0,320],
# [0,670],
# [780,670],
# [780,460],
# [860,460],
# [1140,640],
# [1270,640],
# [1270,320]])
vertices = np.array([
[0,266],
[0,558],
[491,558],
[491,350],
[542,350],
[718,520],
[800,520],
[800,266]])
processedScreen = roi(processedScreen, [vertices])
lines = cv2.HoughLinesP(processedScreen, 1, np.pi/180, 100, 100, minLineLength, maxLineGap)
# if startX != -1 and startY != -1:
# # for objectCoord in objectArray:
# # print(objectCoord[1], objectCoord[2], objectCoord[3], objectCoord[4])
# # square_in(objectCoord[1], objectCoord[2], objectCoord[3], objectCoord[4], WINDOW_START_X+(WINDOW_WIDTH/2), WINDOW_START_Y+(WINDOW_HEIGHT/2))
# # flickMovementThread = threading.Thread(target=flick_movement, args=[startX, startY, endX, endY])
# # flickMovementThread.start()
# print ("Shoot him!!!!!!!!!!")
# flick_movement(startX, startY, endX, endY)
# # flick_movement(objectCoord[1], objectCoord[2], objectCoord[3], objectCoord[4])
# # break
# # print('-------------------------------------------------- ', myVar)
if not (lines is None):
# draw_lines(processedScreen, lines)
newLines = processLines(lines)
draw_processed_lines(processedScreen, newLines)
for newLine in newLines:
if findLineLength(newLine) > 400:
ALMOST_FLAT_SLOPE = 0.05
m_pos = gui.position()
# print(newLine)
if newLine[4] > 0:
if newLine[4] < ALMOST_FLAT_SLOPE:
# print("//////////////////////////////\nSlope > 0!")
gui.moveTo(m_pos[0]-100)
elif newLine[4] < 0:
if newLine[4] > -ALMOST_FLAT_SLOPE:
# print("//////////////////////////////\nSlope < 0!")
gui.moveTo(m_pos[0]+100)
# if newLine[0] < 635 and newLine[1] > 356 and newLine[4] < 0:
if newLine[0] < 529 and newLine[1] > 297 and newLine[4] < 0:
directInput.HoldKey(directInput.W, 0.2)
break
# # if newLine[0] > 653 and newLine[1] > 356 and newLine[4] > 0:
if newLine[0] > 529 and newLine[1] > 297 and newLine[4] > 0:
directInput.HoldKey(directInput.W, 0.2)
break
else:
gui.moveTo(500)
cv2.imshow("TestPyWindow", processedScreen)
if cv2.waitKey(1) and 0xFF == ord('q'):
cv2.destroyAllWindows()