327 lines
14 KiB
Python
327 lines
14 KiB
Python
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from copy import deepcopy
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import numpy as np
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from MCamera.mp_algorithm import MediapipeAlgorithmPlugin
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from MCamera.mp_camera import MP_RESULT
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from MCamera.camera import *
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from Speaker.speak_base import beep
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from Database.manager_database import *
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from score_doc import get_fin_score
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from .base_exercise import BaseExercise
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class SitUp_New(BaseExercise):
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def __init__(self, info, statistic_time=120, camera=None):
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super().__init__(info, statistic_time, camera=camera)
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self.countdown_flag = threading.Event() # 计时线程
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# 个数统计
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self.bar = None
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self.per = None
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self.range = 0
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self.count = 0
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# 当前状态
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self.hand_state = 0
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self.direction = 0
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self.countdown = 120
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self.pre_pos = 0
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self.speak_state = 0
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self.state = 0
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# 初始化
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self.initial_palm_1_y = 0
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self.initial_palm_1_x = 0
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self.initial_palm_2_x = 0
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self.initial_palm_2_y = 0
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self.initial_torso_1 = 0
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self.initial_torso_2 = 0
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self.distance = 24
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# 动作持续帧数
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self.time = 0
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self.time_1 = 0
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self.time_2 = 0
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# 开始标志
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self.form = 0
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# 状态反馈
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self.feedback = "开始"
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self.sign = 0
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self.state = 0
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# 目标朝向
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self.dir = 0
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self.exercise_type = "仰卧起坐"
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# 仰卧起坐参数
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self.corner = (160, 460, 120, 500)
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MediapipeAlgorithmPlugin.set_corner(corner=self.corner)
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MediapipeAlgorithmPlugin.set_config(config=self.config)
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def get_result(self):
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# 人员年龄
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age = self.info.get(AGE)
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# 人员性别
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gender = "woman" if self.info.get(GENDER) == "女" else "man"
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score = get_fin_score.Military(gender, int(age), sitUpsResult=int(self.count)).SitUpsScoreEvaluation()
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result = {
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"count": int(self.count),
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"score": score,
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"countdown": self.countdown
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}
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return result
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def retail_counting(self):
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retail_counting = 3
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counting = 0
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first_time = time.time()
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while True:
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this_time = time.time()
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if this_time - first_time > counting:
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if retail_counting > 0:
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self.speak_driver.add_speak(f"{retail_counting}！")
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self.speak_driver.wait_4_speak()
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counting += 1
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retail_counting -= 1
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else:
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break
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threading.Thread(target=beep, daemon=True).start()
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self.countdown_flag.isSet()
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self.start_time = time.time()
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def speak_counting(self, counting_times, name):
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self.speak_driver.start()
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self.speak_driver.speed_control(200)
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self.speak_driver.volume_control(1)
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self.speak_driver.add_speak("考试人员{}".format(name))
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self.speak_driver.add_speak(f"考试项目{self.exercise_type}")
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def count_down(self):
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seconds = 120
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while True:
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self.countdown_flag.wait()
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this_time = time.time()
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count_time = this_time - self.start_time
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second = int(seconds - count_time)
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self.countdown = f"{second}"
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time.sleep(0.1)
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if second == 0:
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self.countdown_flag.clear()
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break
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def run(self) -> None:
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self.speak_counting(5, self.info[NAME])
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# 准备倒计时
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threading.Thread(target=self.count_down).start()
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self.is_start = True
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# 不停更新计算和更新画面
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threading.Thread(target=self.thread_counting_streaming, daemon=True).start()
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while not self.is_done():
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_img = deepcopy(self.cap.get_frame())
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self.img = self.display(_img)
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self.speak_driver.add_speak(f"时间到，考试结束")
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self.is_start = False
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def display(self, img):
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if self.dir == 1 and self.sign == 1 and self.countdown_flag.is_set():
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self.detector.drawPoint(img, 11, 19, 25, bias_x=120, bias_y=160)
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elif self.dir == 2 and self.sign == 1 and self.countdown_flag.is_set():
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self.detector.drawPoint(img, 12, 20, 26, bias_x=120, bias_y=160)
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cv2.rectangle(img, (self.corner[2], self.corner[0]), (self.corner[3], self.corner[1]), (0, 255, 0), 2)
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if self.sign == 1:
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cv2.rectangle(img, (650 - 100, 60), (650 - 80, 282), (255, 255, 255), 2)
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if self.bar and self.per:
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cv2.rectangle(img, (650 - 98, int(self.bar)), (650 - 82, 280), (102, 106, 233),
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cv2.FILLED)
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cv2.putText(img, f'{int(self.per)}%', (650 - 125, 320), cv2.FONT_HERSHEY_PLAIN, 2,
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(255, 255, 255), 2)
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# 绘制计数器
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cv2.rectangle(img, (0, 480 - 120), (120, 480), (102, 106, 233), cv2.FILLED)
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cv2.putText(img, str(int(self.count)), (10, 480 - 35), cv2.FONT_HERSHEY_PLAIN, 5,
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(255, 255, 255), 5)
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# 展示状态反馈
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cv2.rectangle(img, (640 - 160, 0), (640, 50), (102, 106, 233), cv2.FILLED)
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img = self.cv2_img_add_text(img, self.feedback, 640 - 120, 5, (255, 255, 255), 38)
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return img
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def analysis(self, frame):
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catch_time = frame[CATCH_TIME]
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if catch_time < self.start_cal_time:
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return
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img = frame[FRAME_DAT]
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lm_list = frame[MP_RESULT]
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self.detector.set_result(lm_list)
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if len(lm_list) != 0:
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palm_1_x = self.detector.findPosition(img, False)[19][1]
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palm_1_y = self.detector.findPosition(img, False)[19][2]
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palm_2_x = self.detector.findPosition(img, False)[20][1]
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palm_2_y = self.detector.findPosition(img, False)[20][2]
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hip_1 = self.detector.findAngle(img, 11, 23, 25, False)
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hip_2 = self.detector.findAngle(img, 12, 24, 26, False)
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knee_1 = self.detector.findAngle(img, 23, 25, 27, False)
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knee_2 = self.detector.findAngle(img, 24, 26, 28, False)
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arm_1 = self.detector.findAngle(img, 11, 13, 15, False)
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arm_2 = self.detector.findAngle(img, 12, 14, 16, False)
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torso_1 = self.detector.findAngle(img, 11, 23, 29, False)
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torso_2 = self.detector.findAngle(img, 12, 24, 30, False)
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vis_wrist_1 = self.detector.findPosition(img, False)[15][4]
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vis_wrist_2 = self.detector.findPosition(img, False)[16][4]
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if self.pre_pos == 0:
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self.pre_pos = 1
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self.speak_driver.add_speak("请进入准备状态")
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if self.form == 0:
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if (torso_1 >= 160 and arm_1 >= 160 and 60 <= knee_1 <= 110) or (
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torso_2 >= 160 and arm_2 >= 160 and 60 <= knee_2 <= 110):
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if self.pre_pos == 1:
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if vis_wrist_1 > 0.8:
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self.time_1 += 1
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if self.time_1 > 3:
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self.dir = 1
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self.sign = 1
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self.time_1 = 0
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self.form = 1
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self.initial_palm_1_y = palm_1_y
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self.initial_palm_1_x = palm_1_x
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elif vis_wrist_2 > 0.8:
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self.time_2 += 1
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if self.time_2 > 3:
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self.dir = 2
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self.sign = 1
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self.time_2 = 0
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self.form = 1
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self.initial_palm_2_y = palm_2_y
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self.initial_palm_2_x = palm_2_x
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if self.sign == 1:
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self.speak_driver.add_speak("准备开始考试")
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threading.Thread(target=self.retail_counting).start()
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if self.dir == 1 and self.sign == 1 and self.countdown_flag.is_set():
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self.per = np.interp(hip_1, (90, 140), (100, 0))
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self.bar = np.interp(hip_1, (90, 140), (62, 280))
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if self.count >= 1:
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if 140 <= arm_1 and 160 <= torso_1:
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self.feedback = "上升"
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self.state = 0
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if self.direction == 0:
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self.time += 1
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if self.time > 2:
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self.count += 0.5
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self.direction = 1
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self.time = 0
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self.distance = 25
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self.speak_state = 0
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self.initial_palm_1_x = palm_1_x
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else:
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self.feedback = "上升"
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self.state = 0
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if self.direction == 0:
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self.time += 1
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if self.time > 2:
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self.count += 0.5
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self.direction = 1
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self.time = 0
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self.distance = 25
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self.speak_state = 0
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if self.initial_palm_1_x - self.distance >= palm_1_x and torso_1 <= 160:
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self.feedback = "下落"
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if self.state == 0:
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if self.direction == 1:
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self.time += 1
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if self.time > 2:
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self.count += 0.5
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self.direction = 0
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self.time = 0
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if self.count % 1 == 0:
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self.speak_driver.add_speak("{}".format(int(self.count)))
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if self.initial_palm_1_y - 30 > palm_1_y:
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self.time += 1
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if self.time > 3:
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self.state = 1
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self.time = 0
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if self.speak_state == 0:
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self.speak_driver.add_speak('手过高')
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self.speak_state = 1
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# elif knee_1 < 45:
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# self.time += 1
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# if self.time > 3:
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# self.time = 0
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# if self.speak_state == 0:
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# self.speak_driver.add_speak('膝部角度过小')
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# self.speak_state = 1
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# elif knee_1 > 130:
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# self.time += 1
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# if self.time > 3:
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# self.time = 0
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# if self.speak_state == 0:
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# self.speak_driver.add_speak('膝部角度过大')
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# self.speak_state = 1
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# elif arm_1 < 90:
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# self.time += 1
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# if self.time > 3:
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# self.time = 0
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# if self.speak_state == 0:
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# self.speak_driver.add_speak('手未伸直')
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# self.speak_state = 1
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elif self.dir == 2 and self.sign == 1 and self.countdown_flag.is_set():
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self.per = np.interp(hip_2, (90, 140), (100, 0))
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self.bar = np.interp(hip_2, (90, 140), (62, 280))
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if 140 <= arm_2 and 160 <= torso_2:
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self.feedback = "上升"
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self.state = 0
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if self.direction == 0:
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self.time += 1
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if self.time > 2:
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self.count += 0.5
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self.direction = 1
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self.time = 0
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self.distance = 25
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self.speak_state = 0
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self.initial_palm_2_x = palm_2_x
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if self.initial_palm_2_x + self.distance <= palm_2_x and torso_2 <= 160:
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self.feedback = "下落"
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if self.state == 0:
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if self.direction == 1:
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self.time += 1
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if self.time > 2:
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self.count += 0.5
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self.direction = 0
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self.time = 0
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if self.count % 1 == 0:
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self.speak_driver.add_speak("{}".format(int(self.count)))
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if self.initial_palm_2_y - 30 > palm_2_y:
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self.time += 1
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if self.time > 3:
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self.state = 1
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self.time = 0
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if self.speak_state == 0:
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self.speak_driver.add_speak('手过高')
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self.speak_state = 1
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# elif knee_2 < 60:
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# self.time += 1
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# if self.time > 3:
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# self.time = 0
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# if self.speak_state == 0:
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# self.speak_driver.add_speak('膝部角度过小')
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# self.speak_state = 1
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# elif knee_2 > 110:
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# self.time += 1
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# if self.time > 3:
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# self.time = 0
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# if self.speak_state == 0:
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# self.speak_driver.add_speak('膝部角度过大')
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# self.speak_state = 1
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# elif arm_2 < 140:
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# self.time += 1
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# if self.time > 3:
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# self.time = 0
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|||
|
|
# if self.speak_state == 0:
|
|||
|
|
# self.speak_driver.add_speak('手未申直')
|
|||
|
|
# self.speak_state = 1
|