mi-task/task_2/xiesi2.py

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2025-08-21 18:19:04 +08:00
import time
import sys
import os
import math
import threading
import cv2
import queue
from threading import Thread, Lock
from datetime import datetime
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from base_move.go_to_xy import go_to_xy, go_to_xy_v2
from base_move.turn_degree import turn_degree, turn_degree_twice, turn_degree_v2
from utils.log_helper import LogHelper, get_logger, section, info, debug, warning, error, success, timing
from utils.decode_arrow import detect_arrow_direction, visualize_arrow_detection
from base_move.move_base_hori_line import (
arc_turn_around_hori_line,
go_straight_by_hori_line,
move_to_hori_line,
align_to_horizontal_line
)
# 导入低头匍匐步态模块
from task_2.crawl_gait import (
low_crawl_gait,
transition_to_crawl_position,
recover_from_crawl_position,
run_low_crawl_demo
)
# 创建本模块特定的日志记录器
logger = get_logger("任务2-5")
observe = False
# 异步箭头检测器类
class AsyncArrowDetector:
def __init__(self, image_processor):
"""
初始化异步箭头检测器
参数:
image_processor: ImageProcessor实例
"""
self.image_processor = image_processor
self.detection_thread = None
self.running = False
self.lock = Lock()
self.arrow_result = None
self.result_time = 0
self.last_processed_image = None
# 用于保存可视化结果
self.save_dir = "logs/image"
os.makedirs(self.save_dir, exist_ok=True)
# 添加左右方向计数器
self.left_count = 0
self.right_count = 0
info("异步箭头检测器已初始化", "初始化")
def start_detection(self, interval=0.5):
"""
启动异步箭头检测
参数:
interval: 检测间隔单位秒
"""
if self.detection_thread is not None and self.detection_thread.is_alive():
info("异步箭头检测已经在运行中", "警告")
return
self.running = True
self.detection_thread = Thread(target=self._detection_worker, args=(interval,))
self.detection_thread.daemon = True
self.detection_thread.start()
info("启动异步箭头检测线程", "启动")
def stop_detection(self):
"""停止异步箭头检测"""
self.running = False
if self.detection_thread and self.detection_thread.is_alive():
self.detection_thread.join(timeout=1.0)
info("异步箭头检测线程已停止", "停止")
def _detection_worker(self, interval):
"""异步箭头检测工作线程"""
last_detection_time = 0
while self.running:
current_time = time.time()
# 按指定间隔检测
if current_time - last_detection_time >= interval:
img = self.image_processor.get_current_image('ai')
if img is not None:
try:
# 保存最后处理的图像
self.last_processed_image = img.copy()
# 检测箭头方向
direction = detect_arrow_direction(img)
with self.lock:
self.arrow_result = direction
self.result_time = current_time
# 更新方向计数
if direction == "left":
self.left_count += 1
elif direction == "right":
self.right_count += 1
if direction != "unknown":
info(f"异步检测到{direction}箭头 (left: {self.left_count}, right: {self.right_count})", "箭头检测")
# 保存检测结果的可视化图像
timestamp = time.strftime("%Y%m%d_%H%M%S")
save_path = f"{self.save_dir}/arrow_detection_{timestamp}.jpg"
# visualize_arrow_detection(img, save_path=save_path)
info(f"箭头检测可视化结果已保存至: {save_path}", "箭头检测")
except Exception as e:
error(f"异步箭头检测出错: {str(e)}", "错误")
last_detection_time = current_time
# 短暂休眠避免占用过多CPU
time.sleep(0.05)
def get_last_result(self):
"""获取最后一次成功的箭头检测结果和计数情况"""
with self.lock:
# 根据计数确定最终方向
final_direction = self.arrow_result
if self.left_count > self.right_count:
final_direction = "left"
elif self.right_count > self.left_count:
final_direction = "right"
return final_direction, self.result_time, self.last_processed_image
def get_counts(self):
"""获取当前的左右方向计数"""
with self.lock:
return self.left_count, self.right_count
def xiesi2(ctrl, msg):
xy_flag=False
# qreader = QReader()
try:
#x=-0.118246,y=0.011020,z=0.066921,yaw=-0.000436
msg.mode = 12 # Recovery stand
msg.gait_id = 0
msg.life_count += 1 # Command will take effect when life_count update
ctrl.Send_cmd(msg)
ctrl.Wait_finish(12, 0)
msg.mode = 11
msg.gait_id = 3
msg.step_height = [0.06, 0.06]
msg.vel_des = [0.1,0.0,0.0]
msg.duration = 2000
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep(5)
###################### S 弯 ###########################
# msg.vel_des = [0.3, 0.02, 0.05] #转向
# msg.duration = 3000 # Zero duration means continuous motion until a new command is used.
# # Continuous motion can interrupt non-zero duration interpolation motion
# msg.life_count += 1
# ctrl.Send_cmd(msg)
# time.sleep( 5 )
msg.vel_des = [0.3, 0, 0.42]
msg.duration = 10300
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep( 15 )
# msg.vel_des = [0.3, 0, 0]
# msg.duration = 200
# msg.life_count += 1
# ctrl.Send_cmd(msg)
# time.sleep( 2 )
msg.vel_des = [0.3, 0, -0.43]
msg.duration = 12200
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep( 15 )
# msg.vel_des = [0.3, 0, 0]
# msg.duration = 100
# msg.life_count += 1
# ctrl.Send_cmd(msg)
# time.sleep( 2 )
msg.vel_des = [0.3, 0, 0.43]
msg.duration = 10200
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep( 15 )
msg.vel_des = [0.3, 0, -0.5]
msg.duration = 3500
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep( 10 )
arrow_direction = None
# 创建异步箭头检测器
arrow_detector = AsyncArrowDetector(ctrl.image_processor)
# 在进入第四个圆弧前索引为7启动异步箭头检测
arrow_detection_started = False
info("完成第四个圆弧,开始检测箭头方向", "箭头检测")
# 给异步检测一些时间来完成
wait_time = 0
max_wait = 2.0 # 最多等待2秒
while wait_time < max_wait:
# 获取异步检测结果
result, result_time, last_image = arrow_detector.get_last_result()
if result is not None and result != "unknown":
arrow_direction = result
left_count, right_count = arrow_detector.get_counts()
info(f"成功检测到箭头方向: {arrow_direction} (left: {left_count}, right: {right_count})", "箭头检测")
break
time.sleep(0.1)
wait_time += 0.1
# 如果未检测到或结果为unknown尝试在当前图像上再次检测
if arrow_direction is None or arrow_direction == "unknown":
info("异步检测未得到确定结果,尝试在当前图像上直接检测", "箭头检测")
# 获取当前图像
image = ctrl.image_processor.get_current_image('ai')
if image is not None:
# 直接在当前图像上检测
arrow_direction = detect_arrow_direction(image, observe=False)
# 更新计数
if arrow_direction == "left":
arrow_detector.left_count += 1
elif arrow_direction == "right":
arrow_detector.right_count += 1
# 根据总计数确定最终方向
left_count, right_count = arrow_detector.get_counts()
if left_count > right_count:
arrow_direction = "left"
elif right_count > left_count:
arrow_direction = "right"
info(f"直接检测到箭头方向: {arrow_direction} (left: {left_count}, right: {right_count})", "箭头检测")
# 保存检测结果的可视化图像
timestamp = time.strftime("%Y%m%d_%H%M%S")
save_path = f"logs/image/arrow_detection_final_{timestamp}.jpg"
os.makedirs(os.path.dirname(save_path), exist_ok=True)
# visualize_arrow_detection(image, save_path=save_path)
info(f"最终箭头检测可视化结果已保存至: {save_path}", "箭头检测")
else:
warning("无法获取当前图像,箭头方向检测失败", "箭头检测")
arrow_direction = "unknown"
# 停止异步箭头检测
if arrow_detection_started:
arrow_detector.stop_detection()
print('角度为',ctrl.odo_msg.rpy[2])
print('x为',ctrl.odo_msg.xyz[0])
print('y为',ctrl.odo_msg.xyz[1])
print('z为',ctrl.odo_msg.xyz[2])
# 输出最终计数结果
left_count, right_count = arrow_detector.get_counts()
info(f"箭头检测最终结果: left={left_count}, right={right_count}, 选择={arrow_direction}", "箭头检测结果")
# 返回检测到的箭头方向
msg.vel_des = [0, 0.3, 0]
msg.duration = 1000
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep( 10 )
msg.vel_des = [0.3, 0, 0]
msg.duration = 3000
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep( 10 )
return arrow_direction
###################### S 弯 ###########################
except KeyboardInterrupt:
pass
ctrl.quit()
sys.exit()
def xiesi2_back(ctrl, msg):
try:
msg.mode = 12 # Recovery stand
msg.gait_id = 0
msg.life_count += 1 # Command will take effect when life_count update
ctrl.Send_cmd(msg)
ctrl.Wait_finish(12, 0)
msg.mode = 11
msg.gait_id = 3
msg.step_height = [0.06, 0.06]
msg.vel_des = [0.2, 0, 0]
msg.duration = 2500
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep(4)
msg.vel_des = [0.3,0,0.41]
msg.duration = 4000
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep(5)
msg.vel_des = [0.3,0,-0.43]
msg.duration = 10300
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep(12)
msg.vel_des = [0.3,0,0.44]
msg.duration = 12000
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep(14)
msg.vel_des = [0.3,0,-0.44]
msg.duration = 11000
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep(13)
msg.vel_des = [0.3,0,0]
msg.duration = 2000
msg.life_count += 1
ctrl.Send_cmd(msg)
time.sleep(3)
except KeyboardInterrupt:
pass
ctrl.quit()
sys.exit()
# class Robot_Ctrl(object):
# def __init__(self):
# self.rec_thread = Thread(target=self.rec_responce)
# self.send_thread = Thread(target=self.send_publish)
# self.lc_r = lcm.LCM("udpm://239.255.76.67:7670?ttl=255")
# self.lc_s = lcm.LCM("udpm://239.255.76.67:7671?ttl=255")
# self.cmd_msg = robot_control_cmd_lcmt()
# self.rec_msg = robot_control_response_lcmt()
# self.send_lock = Lock()
# self.delay_cnt = 0
# self.mode_ok = 0
# self.gait_ok = 0
# self.runing = 1
# def run(self):
# self.lc_r.subscribe("robot_control_response", self.msg_handler)
# self.send_thread.start()
# self.rec_thread.start()
# def msg_handler(self, channel, data):
# self.rec_msg = robot_control_response_lcmt().decode(data)
# if(self.rec_msg.order_process_bar >= 95):
# self.mode_ok = self.rec_msg.mode
# else:
# self.mode_ok = 0
# def rec_responce(self):
# while self.runing:
# self.lc_r.handle()
# time.sleep( 0.002 )
# def Wait_finish(self, mode, gait_id):
# count = 0
# while self.runing and count < 2000: #10s
# if self.mode_ok == mode and self.gait_ok == gait_id:
# return True
# else:
# time.sleep(0.005)
# count += 1
# def send_publish(self):
# while self.runing:
# self.send_lock.acquire()
# if self.delay_cnt > 20: # Heartbeat signal 10HZ, It is used to maintain the heartbeat when life count is not updated
# self.lc_s.publish("robot_control_cmd",self.cmd_msg.encode())
# self.delay_cnt = 0
# self.delay_cnt += 1
# self.send_lock.release()
# time.sleep( 0.005 )
# def Send_cmd(self, msg):
# self.send_lock.acquire()
# self.delay_cnt = 50
# self.cmd_msg = msg
# self.send_lock.release()
# def quit(self):
# self.runing = 0
# self.rec_thread.join()
# self.send_thread.join()