156 lines
7.7 KiB
Python
156 lines
7.7 KiB
Python
import random
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from window_capture import WindowCapture
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from vision import Vision
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import cv2 as cv
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from hsvfilter import HsvFilter
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from config_file import UserConfigs
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import pydirectinput
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class Magic:
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def __init__(self, overlay):
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self.overlay = overlay
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self.config = UserConfigs()
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self.SPAWN_COUNT = int(overlay.spawn_use.get())
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self.capture_window = WindowCapture(None, "magic", self.config)
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# initialize the StunVision class
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self.vision_stun = Vision()
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# initialize the StunOverlay class
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hsv_filter_orange = HsvFilter(10, 156, 0, 17, 255, 255, 0, 0, 0, 0)
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hsv_filter_p = HsvFilter(130, 156, 0, 179, 255, 255, 0, 0, 0, 0)
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hsv_filter_b = HsvFilter(88, 156, 0, 128, 255, 255, 0, 0, 0, 0)
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hsv_filter_g = HsvFilter(34, 156, 0, 74, 255, 255, 0, 0, 0, 0)
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hsv_filter_y = HsvFilter(24, 156, 0, 33, 255, 255, 0, 0, 0, 0)
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hsv_filter_0 = HsvFilter(0, 0, 0, 179, 255, 255, 255, 0, 0, 0)
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self.hsv_filter_w = HsvFilter(69, 25, 0, 94, 255, 255, 0, 0, 0, 0)
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self.magic_list = {"1": "body", "2": "finding", "3": "mind", "4": "perceiving", "5": "physical", "6": "seeing",
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"7": "spiritual"}
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self.tier_list = {"1": "0", "2": "orange", "3": "y", "4": "g", "5": "b", "6": "p"} # , "w"}
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self.hsv_filter_list = {"1": hsv_filter_0, "2": hsv_filter_orange, "3": hsv_filter_y, "4": hsv_filter_g,
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"5": hsv_filter_b, "6": hsv_filter_p}
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self.needle_list = []
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self.hsv_list = []
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for key1 in self.tier_list:
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for key2 in self.magic_list:
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self.needle_list.append(
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cv.imread("magic/" + self.magic_list[key2] + "_" + self.tier_list[key1] + ".jpg",
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cv.IMREAD_UNCHANGED))
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self.hsv_list.append(self.hsv_filter_list[key1])
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def execute_main_loop(self):
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while True:
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if self.overlay.run_mode == 'paused':
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cv.waitKey(1)
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continue
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elif self.overlay.run_mode == 'stopped':
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break
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screenshot = self.capture_window.get_screenshot()
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# screenshot = cv.imread("buffbar.jpg")
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# cv.imshow("screenshot", screenshot)
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# cv.waitKey(150)
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# continue
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spawn_1 = self.vision_stun.find(screenshot, cv.imread("magic/spawn_1.jpg", cv.IMREAD_UNCHANGED), 0.4, 1)
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if len(spawn_1) == 1:
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points = self.vision_stun.get_click_points(spawn_1)
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for i in range(0, self.SPAWN_COUNT, 1):
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pydirectinput.moveTo(points[0][0], points[0][1])
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pydirectinput.mouseDown()
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w = random.randint(1, 50)
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cv.waitKey(30 + w)
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pydirectinput.mouseUp()
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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else:
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spawn_0 = self.vision_stun.find(screenshot, cv.imread("magic/spawn_0.jpg", cv.IMREAD_UNCHANGED), 0.7, 1)
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points = self.vision_stun.get_click_points(spawn_0)
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for point in points:
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pydirectinput.moveTo(point[0], point[1])
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pydirectinput.mouseDown()
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cv.waitKey(500)
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pydirectinput.mouseUp()
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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continue
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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# for needles in needle_list:
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for rer in range(0, len(self.needle_list), 1):
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while True:
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screenshot = self.capture_window.get_screenshot()
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processed_screenshot = self.vision_stun.apply_hsv_filter(screenshot, self.hsv_list[rer])
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processed_needle = self.vision_stun.apply_hsv_filter(self.needle_list[rer], self.hsv_list[rer])
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rectangles = self.vision_stun.find(processed_screenshot, processed_needle, 0.7, 2)
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# draw the detection results onto the original image
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# only trigger ocr reading if a stun is detected
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points = self.vision_stun.get_click_points(rectangles)
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if len(points) == 2:
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pydirectinput.moveTo(points[0][0], points[0][1])
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pydirectinput.mouseDown()
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w = random.randint(1, 100)
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cv.waitKey(250 + w)
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pydirectinput.moveTo(points[1][0], points[1][1])
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pydirectinput.mouseUp()
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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else:
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break
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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needles_white = [cv.imread("magic/body_w.jpg", cv.IMREAD_UNCHANGED),
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cv.imread("magic/finding_w.jpg", cv.IMREAD_UNCHANGED),
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cv.imread("magic/mind_w.jpg", cv.IMREAD_UNCHANGED),
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cv.imread("magic/perceiving_w.jpg", cv.IMREAD_UNCHANGED),
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cv.imread("magic/physical_w.jpg", cv.IMREAD_UNCHANGED),
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cv.imread("magic/seeing_w.jpg", cv.IMREAD_UNCHANGED),
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cv.imread("magic/spiritual_w.jpg", cv.IMREAD_UNCHANGED)]
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for needle_w in needles_white:
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# do object detection
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screenshot = self.capture_window.get_screenshot()
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processed_screenshot = self.vision_stun.apply_hsv_filter(screenshot, self.hsv_filter_w)
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processed_needle = self.vision_stun.apply_hsv_filter(needle_w, self.hsv_filter_w)
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rectangles = self.vision_stun.find(processed_screenshot, processed_needle, 0.7, 1)
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# draw the detection results onto the original image
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# output_image = 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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points = self.vision_stun.get_click_points(rectangles)
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if len(points) >= 1:
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pydirectinput.moveTo(points[0][0], points[0][1])
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pydirectinput.mouseDown()
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w = random.randint(1, 100)
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cv.waitKey(100 + w)
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pydirectinput.mouseUp()
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screenshot = self.capture_window.get_screenshot()
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rectangles = self.vision_stun.find(screenshot, cv.imread("magic/collect.jpg", cv.IMREAD_UNCHANGED),
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0.8,
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1)
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points = self.vision_stun.get_click_points(rectangles)
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if len(points) >= 1:
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pydirectinput.moveTo(points[0][0], points[0][1])
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pydirectinput.mouseDown()
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w = random.randint(1, 100)
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cv.waitKey(100 + w)
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pydirectinput.mouseUp()
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
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break
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