采集卡bug修复

This commit is contained in:
Ray
2025-10-29 15:34:28 +08:00
parent bcc971d528
commit 3a8873acc2
6 changed files with 738 additions and 56 deletions

349
main_single.py Normal file
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"""
单配置组运行的主程序
用于在独立进程中运行单个配置组的自动化
"""
import cv2
from utils.get_image import GetImage
from utils.mouse import init_mouse_keyboard, Mouse_guiji
from ultralytics import YOLO
import time
import serial
import ch9329Comm
import random
import math
from utils import shizi
from config import config_manager
import sys
def run_automation_for_group(group_index):
"""为单个配置组运行自动化"""
# 重新加载配置
config_manager.load_config()
group = config_manager.get_group_by_index(group_index)
if group is None:
print(f"❌ 配置组索引 {group_index} 不存在")
return
print(f"🚀 启动配置组: {group['name']} (索引: {group_index})")
print(f" 串口: {group['serial_port']}")
print(f" 采集卡: {group['camera_index']}")
# 加载YOLO模型
model = YOLO(r"best.pt").to('cuda')
model0 = YOLO(r"best0.pt").to('cuda')
# 初始化串口和鼠标
try:
init_mouse_keyboard(group)
except Exception as e:
print(f"❌ 初始化串口失败: {e}")
return
# 初始化键盘和鼠标
keyboard = ch9329Comm.keyboard.DataComm()
from utils.mouse import mouse
mouse_gui = Mouse_guiji()
# 初始化采集卡
get_image = GetImage(
cam_index=group['camera_index'],
width=group['camera_width'],
height=group['camera_height']
)
# 检查采集卡是否初始化成功
if get_image.cap is None:
print(f"❌ 采集卡 {group['camera_index']} 初始化失败")
return
print(f"✅ 配置组 {group['name']} 初始化完成")
# 全局变量
left = 0
top = 30
k = 0 # 控制转圈的方向
panduan = False # 是否在图内
boss_pd = False # 是否到boss关卡
rw = (632, 378)
v = group['move_velocity'] # 从配置读取移动速度
def yolo_shibie(im_PIL, detections, model):
results = model(im_PIL)
for result in results:
for i in range(len(result.boxes.xyxy)):
left, top, right, bottom = result.boxes.xyxy[i]
scalar_tensor = result.boxes.cls[i]
value = scalar_tensor.item()
label = result.names[int(value)]
if label == 'center' or label == 'next' or label == 'boss' or label == 'zhaozi':
player_x = int(left + (right - left) / 2)
player_y = int(top + (bottom - top) / 2) + 30
RW = [player_x, player_y]
detections[label] = RW
elif label == 'daojv' or label == 'gw':
player_x = int(left + (right - left) / 2)
player_y = int(top + (bottom - top) / 2) + 30
RW = [player_x, player_y]
detections[label].append(RW)
elif label == 'npc1' or label == 'npc2' or label == 'npc3' or label == 'npc4':
player_x = int(left + (right - left) / 2)
player_y = int(bottom) + 30
RW = [player_x, player_y]
detections[label] = RW
return detections
def sq(p1, p2):
"""计算两点之间的欧式距离"""
return math.sqrt((p1[0] - p2[0]) ** 2 + (p1[1] - p2[1]) ** 2)
def process_points(points):
if not points:
return None
n = len(points)
if n == 1:
return points[0]
elif n == 2:
x = (points[0][0] + points[1][0]) / 2
y = (points[0][1] + points[1][1]) / 2
return [x, y]
else:
sample_points = random.sample(points, 3)
min_sum = float('inf')
best_point = None
for p in points:
dist_sum = sum(sq(p, sp) for sp in sample_points)
if dist_sum < min_sum:
min_sum = dist_sum
best_point = p
return best_point
def move_randomly(rw, k):
k = k % 4
suiji_t = float(random.randint(10, 13) / 10)
if k == 0:
keyboard.send_data("66")
time.sleep(suiji_t)
keyboard.release()
elif k == 1:
keyboard.send_data("88")
time.sleep(suiji_t)
keyboard.release()
elif k == 2:
keyboard.send_data("44")
time.sleep(suiji_t)
keyboard.release()
elif k == 3:
keyboard.send_data("22")
time.sleep(suiji_t)
keyboard.release()
return k + 1
def move_to(rw, mb):
"""使用配置的v值"""
nonlocal v
v = group['move_velocity']
if rw[0] >= mb[0]:
keyboard.send_data("44")
time.sleep(float(abs(rw[0] - mb[0]) / v))
keyboard.release()
else:
keyboard.send_data("66")
time.sleep(float(abs(rw[0] - mb[0]) / v))
keyboard.release()
if rw[1] >= mb[1]:
keyboard.send_data("88")
time.sleep(float(abs(rw[1] - mb[1]) / v))
keyboard.release()
else:
keyboard.send_data("22")
time.sleep(float(abs(rw[1] - mb[1]) / v))
keyboard.release()
# 主循环
print(f"🔄 配置组 {group['name']} 开始自动化循环...")
while True:
try:
detections = {
'center': None,
'next': None,
'npc1': None,
'npc2': None,
'npc3': None,
'npc4': None,
'boss': None,
'daojv': [],
'gw': [],
'zhaozi': None
}
im_opencv = get_image.get_frame()
if im_opencv is None:
time.sleep(0.1)
continue
detections = yolo_shibie(im_opencv[1], detections, model)
if shizi.tuwai(im_opencv[0]):
im_opencv = get_image.get_frame()
if im_opencv is None:
time.sleep(0.1)
continue
detections = yolo_shibie(im_opencv[1], detections, model0)
print(f'[{group["name"]}] 当前在城镇中')
if detections['npc1'] is not None and sq(rw, detections['npc1']) > 80:
print(f"[{group['name']}] 向npc1靠近")
move_to(rw, detections['npc1'])
continue
elif detections['npc1'] is not None and sq(rw, detections['npc1']) <= 80:
print(f"[{group['name']}] 在npc旁边向上走")
mb = (detections['npc1'][0], detections['npc1'][1] - 1010)
move_to(rw, mb)
continue
elif detections['npc3'] is not None and detections['npc4'] is None:
print(f"[{group['name']}] 在npc3旁边向右走")
mb = (rw[0], detections['npc3'][1] - 50)
move_to(rw, mb)
mb = (rw[0] + 700, rw[1])
move_to(rw, mb)
continue
elif detections['npc4'] is not None:
if sq(detections['npc4'], rw) < 50:
print(f"[{group['name']}] 离npc4很近 直接进入")
keyboard.send_data("DD")
time.sleep(0.15)
keyboard.release()
time.sleep(1)
im_opencv = get_image.get_frame()
if im_opencv and shizi.daoying(im_opencv[0]):
mouse_gui.send_data_absolute(rw[0], rw[1] - 110, may=1)
time.sleep(1)
continue
else:
print(f"[{group['name']}] 离npc4有点远 点击进入")
move_to(rw, detections['npc4'])
time.sleep(1)
im_opencv = get_image.get_frame()
if im_opencv and shizi.daoying(im_opencv[0]):
mouse_gui.send_data_absolute(rw[0], rw[1] - 110, may=1)
time.sleep(1)
continue
elif shizi.tiaozhan(im_opencv[0]):
print(f'[{group["name"]}] 进入塔4')
mouse_gui.send_data_absolute(left + 1100, top + 600, may=1)
time.sleep(0.3)
mouse_gui.send_data_absolute(left + 433, top + 455, may=1)
panduan = True
continue
elif shizi.jieshu(im_opencv[0]):
print(f'[{group["name"]}] 结束挑战')
mouse_gui.send_data_absolute(left + 542, top + 644, may=1)
time.sleep(0.8)
mouse_gui.send_data_absolute(left + 706, top + 454, may=1)
continue
elif panduan:
if shizi.shuzi(im_opencv[0]):
boss_pd = True
print(f"[{group['name']}] 进入到boss")
if shizi.fuhuo(im_opencv[0]):
print(f'[{group["name"]}] 点击复活')
mouse_gui.send_data_absolute(left + 536, top + 627, may=1)
mouse_gui.send_data_absolute(rw[0], rw[1], may=0)
continue
if detections['zhaozi'] is not None:
move_to(rw, detections['zhaozi'])
continue
if len(detections['daojv']) != 0:
move_to(rw, process_points(detections['daojv']))
for i in range(3 + len(detections['daojv'])):
keyboard.send_data("AA")
time.sleep(0.15)
keyboard.release()
continue
if shizi.tuichu(im_opencv[0]) and detections['next'] is None and len(detections['daojv']) == 0 and len(detections['gw']) == 0 and boss_pd:
print(f"[{group['name']}] 识别到可以退出挑战!!!!!!!!!!!!!!!!!!")
for i in range(3):
time.sleep(0.5)
im_opencv = get_image.get_frame()
if im_opencv is None:
continue
detections = {
'center': None, 'next': None,
'npc1': None, 'npc2': None, 'npc3': None, 'npc4': None,
'boss': None, 'zhaozi': None,
'daojv': [], 'gw': []
}
detections = yolo_shibie(im_opencv[1], detections, model)
if detections['next'] is not None or len(detections['daojv']) != 0 or len(detections['gw']) != 0 or detections['boss'] is not None:
break
else:
mouse_gui.send_data_absolute(left + 640, top + 40, may=1)
panduan = False
boss_pd = False
time.sleep(2.0)
continue
if detections['center'] is None and detections['next'] is None and (len(detections['gw']) != 0 or detections["boss"] is not None):
if len(detections['gw']) != 0:
move_to(rw, detections['gw'][0])
time.sleep(0.26)
elif detections['boss'] is not None:
boss_suiji1 = random.randint(-30, 30)
boss_suiji2 = random.randint(-30, 30)
detections['boss'] = (detections['boss'][0] + boss_suiji1, detections['boss'][1] + boss_suiji2)
move_to(rw, detections['boss'])
time.sleep(0.7)
continue
elif (detections['center'] is not None and detections['next'] is None and len(detections['gw']) != 0) or (boss_pd == True and detections['center'] is not None and detections['next'] is None):
if detections['center'][0] >= rw[0] and detections['center'][1] < rw[1]:
mb = (rw[0] + 100, rw[1])
elif detections['center'][0] <= rw[0] and detections['center'][1] < rw[1]:
mb = (rw[0], rw[1] - 100)
elif detections['center'][0] <= rw[0] and detections['center'][1] > rw[1]:
mb = (rw[0] - 100, rw[1])
elif detections['center'][0] >= rw[0] and detections['center'][1] > rw[1]:
mb = (rw[0], rw[1] + 100)
move_to(rw, mb)
time.sleep(0.25)
continue
elif boss_pd == True and detections['center'] is None and detections['next'] is None:
k = move_randomly(rw, k)
continue
elif detections['next'] is not None:
print(f'[{group["name"]}] 进入下一层啦啦啦啦啦啦')
panduan = True
move_to(rw, detections['next'])
for i in range(2):
keyboard.send_data("DD")
time.sleep(0.15)
keyboard.release()
continue
else:
k = move_randomly(rw, k)
continue
elif shizi.daoying(im_opencv[0]):
mouse_gui.send_data_absolute(rw[0], rw[1] - 110, may=1)
time.sleep(1)
continue
except KeyboardInterrupt:
print(f"🛑 配置组 {group['name']} 停止运行")
break
except Exception as e:
print(f"❌ 配置组 {group['name']} 运行错误: {e}")
import traceback
traceback.print_exc()
time.sleep(1)
if __name__ == "__main__":
if len(sys.argv) > 1:
group_index = int(sys.argv[1])
run_automation_for_group(group_index)
else:
# 默认运行活动配置组
active_group = config_manager.get_active_group()
if active_group is None:
print("❌ 没有活动的配置组")
sys.exit(1)
group_index = config_manager.config['groups'].index(active_group)
run_automation_for_group(group_index)