from copy import deepcopy import numpy as np from MCamera.mp_algorithm import MediapipeAlgorithmPlugin from MCamera.mp_camera import MP_RESULT, CROPPED_FRAME from MCamera.camera import * from Speaker.speak_base import beep from Database.manager_database import * from score_doc import get_fin_score from .base_exercise import BaseExercise class PushUp_1(BaseExercise): def __init__(self, info, statistic_time=120, camera=None): super().__init__(info, statistic_time, camera=camera) self.countdown_flag = threading.Event() # 计时线程 # 个数统计 self.bar = None self.per = None self.count = 0 # 当前状态 self.pre_pos = 0 self.state = 0 self.speak_state = 0 self.direction = 1 # 动作持续帧数 self.time = 0 self.last_time = 0 self.interval = 0.5 # 开始标志 self.form = 0 # 初始化 self.countdown = 120 self.shoulder_angle = 23 # 状态反馈 self.feedback = "开始" self.sign = 0 self.time_1 = 0 self.time_2 = 0 self.dir = 0 self.had_done = False self.exercise_type = "俯卧撑" # 俯卧撑参数 self.corner = (180, 430, 80, 560) self.config = (False, 1, True, False, True, 0.6, 0.65) MediapipeAlgorithmPlugin.set_corner(corner=self.corner) MediapipeAlgorithmPlugin.set_config(config=self.config) def get_result(self): # 人员年龄 age = self.info.get(AGE) # 人员性别 gender = "woman" if self.info.get(GENDER) == "女" else "man" count = self.count score = get_fin_score.Military(gender, int(age), integratedProjectResult=int(count)).IntegratedProjectScoreEvaluation() if age < 40: score = 0 result = { "count": int(count), "score": score, "countdown": self.countdown, "had_done": self.had_done } return result def retail_counting(self): retail_counting = 3 counting = 0 first_time = time.time() while True: this_time = time.time() if this_time - first_time > counting: if retail_counting > 0: self.speak_driver.add_speak(f"{retail_counting}！") self.speak_driver.wait_4_speak() counting += 1 retail_counting -= 1 else: break threading.Thread(target=beep, daemon=True).start() self.start_time = time.time() self.countdown_flag.set() def speak_counting(self, counting_times, name, age): self.speak_driver.start() self.speak_driver.speed_control(200) self.speak_driver.volume_control(1) self.speak_driver.add_speak("考试人员{}".format(name)) self.speak_driver.add_speak(f"考试项目{self.exercise_type}") if age < 40: self.speak_driver.add_speak(f"注意，该考生年龄小于40岁，{self.exercise_type}项目成绩无效") def count_down(self): seconds = 120 while True: self.countdown_flag.wait() this_time = time.time() count_time = this_time - self.start_time second = int(seconds - count_time) self.countdown = f"{second}" time.sleep(0.1) if second == 0: self.countdown_flag.clear() break def run(self) -> None: self.speak_counting(5, self.info[NAME], self.info[AGE]) # 准备倒计时 threading.Thread(target=self.count_down).start() self.is_start = True # 不停更新计算和更新画面 threading.Thread(target=self.thread_counting_streaming, daemon=True).start() while not self.is_done(): _img = deepcopy(self.cap.get_frame()) self.img = self.display(_img) if int(self.countdown) >= 120: self.speak_driver.add_speak(f"长时间未进入准备状态，考试结束") elif int(self.countdown) <= 1: self.had_done = True self.speak_driver.add_speak(f"时间到，考试结束") elif 1 < int(self.countdown) < 120: self.speak_driver.add_speak(f"考试终止") self.is_start = False def display(self, img): cv2.rectangle(img, (self.corner[2], self.corner[0]), (self.corner[3], self.corner[1]), (0, 255, 0), 2) # 检查俯卧撑运动过程 if self.sign == 1 and self.dir == 1 and self.countdown_flag.is_set(): self.detector.drawPoint(img, 11, 13, 31, bias_x=self.corner[2], bias_y=self.corner[0]) if self.sign == 1 and self.dir == 2 and self.countdown_flag.is_set(): self.detector.drawPoint(img, 12, 14, 32, bias_x=self.corner[2], bias_y=self.corner[0]) # 绘制状态条 if self.sign == 1: cv2.rectangle(img, (650 - 100, 60), (650 - 80, 282), (255, 255, 255), 2) if self.bar and self.per: cv2.rectangle(img, (650 - 98, int(self.bar)), (650 - 82, 280), (102, 106, 233), cv2.FILLED) cv2.putText(img, f'{int(self.per)}%', (650 - 125, 320), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2) # 绘制计数器 cv2.rectangle(img, (0, 480 - 120), (120, 480), (102, 106, 233), cv2.FILLED) cv2.putText(img, str(int(self.count)), (10, 480 - 35), cv2.FONT_HERSHEY_PLAIN, 5, (255, 255, 255), 5) # 展示状态反馈 cv2.rectangle(img, (640 - 160, 0), (640, 50), (102, 106, 233), cv2.FILLED) img = self.cv2_img_add_text(img, self.feedback, 640 - 120, 5, (255, 255, 255), 38) return img def analysis(self, frame): catch_time = frame[CATCH_TIME] if catch_time < self.start_cal_time: return img = frame[CROPPED_FRAME] lm_list = frame[MP_RESULT] self.detector.set_result(lm_list) if len(lm_list) != 0: shoulder_1_x = self.detector.findPosition(img, False)[11][1] shoulder_2_x = self.detector.findPosition(img, False)[12][1] shoulder_1_y = self.detector.findPosition(img, False)[11][2] shoulder_2_y = self.detector.findPosition(img, False)[12][2] foot_1_x = self.detector.findPosition(img, False)[31][1] foot_2_x = self.detector.findPosition(img, False)[32][1] foot_1_y = self.detector.findPosition(img, False)[31][2] foot_2_y = self.detector.findPosition(img, False)[32][2] vis_elbow_1 = self.detector.findPosition(img, False)[13][4] vis_elbow_2 = self.detector.findPosition(img, False)[14][4] vis_knee_1 = self.detector.findPosition(img, False)[25][4] vis_knee_2 = self.detector.findPosition(img, False)[26][4] Concave_angle_1 = self.detector.findConcave(11, 23, 25) Concave_angle_2 = self.detector.findConcave(12, 24, 26) knee_1_x = self.detector.findPosition(img, False)[25][1] knee_2_x = self.detector.findPosition(img, False)[26][1] knee_1_y = self.detector.findPosition(img, False)[25][2] knee_2_y = self.detector.findPosition(img, False)[26][2] ankle_1_x = self.detector.findPosition(img, False)[27][1] ankle_2_x = self.detector.findPosition(img, False)[28][1] ankle_1_y = self.detector.findPosition(img, False)[27][2] ankle_2_y = self.detector.findPosition(img, False)[28][2] elbow_1 = self.detector.findAngle(img, 11, 13, 21, False) elbow_2 = self.detector.findAngle(img, 12, 14, 22, False) if self.pre_pos == 0: self.pre_pos = 1 self.speak_driver.add_speak("请进入准备状态") if self.form == 0: if foot_1_y > shoulder_1_y or foot_2_y > shoulder_2_y: if self.pre_pos == 1: if vis_elbow_1 > 0.8 and vis_elbow_1 > vis_elbow_2 and vis_knee_1 > 0.8: self.time_1 += 1 if self.time_1 > 3: self.dir = 1 self.sign = 1 self.time_1 = 0 self.form = 1 elif vis_elbow_2 > 0.8 and vis_elbow_1 < vis_elbow_2 and vis_knee_2 > 0.8: self.time_2 += 1 if self.time_2 > 3: self.dir = 2 self.sign = 1 self.time_2 = 0 self.form = 1 if self.sign == 1: self.speak_driver.add_speak("准备开始考试") threading.Thread(target=self.retail_counting).start() # 检查俯卧撑运动过程 if self.sign == 1 and self.dir == 1 and self.countdown_flag.is_set(): shoulder_angle = self.detector.findIncludedAngle(foot_1_x, foot_1_y, shoulder_1_x, shoulder_1_y) hip_angle = self.detector.findIncludedAngle(ankle_1_x, ankle_1_y, knee_1_x, knee_1_y) # 成功概率 self.per = np.interp(elbow_1, (90, 150), (100, 0)) # 显示进度栏 self.bar = np.interp(elbow_1, (90, 150), (62, 280)) if hip_angle < 70: if elbow_1 > 145 and 155 <= Concave_angle_1 <= 210: self.feedback = "下落" if self.direction == 0: self.time += 1 if self.time > 1: self.count += 0.5 self.direction = 1 self.time = 0 self.speak_state = 0 self.shoulder_angle = shoulder_angle if self.count % 1 == 0: self.speak_driver.speed_control(400) self.speak_driver.add_speak("{}".format(int(self.count))) if self.shoulder_angle - shoulder_angle > 4 and elbow_1 < 95 and time.time() - self.last_time > self.interval: self.feedback = "上升" if self.direction == 1: self.time += 1 if self.time > 1: self.count += 0.5 self.direction = 0 self.time = 0 self.last_time = time.time() if 155 > Concave_angle_1: self.time += 1 if self.time > 3: self.time = 0 if self.speak_state == 0: self.speak_driver.add_speak('塌腰') self.speak_state = 1 if self.sign == 1 and self.dir == 2 and self.countdown_flag.is_set(): shoulder_angle = self.detector.findIncludedAngle(foot_2_x, foot_2_y, shoulder_2_x, shoulder_2_y) hip_angle = self.detector.findIncludedAngle(ankle_2_x, ankle_2_y, knee_2_x, knee_2_y) # 成功概率 self.per = np.interp(elbow_2, (90, 150), (100, 0)) # 显示进度栏 self.bar = np.interp(elbow_2, (90, 150), (62, 280)) if hip_angle < 70: if elbow_2 > 145 and 155 <= Concave_angle_2 <= 210: self.feedback = "下落" if self.direction == 0: self.time += 1 if self.time > 1: self.count += 0.5 self.direction = 1 self.time = 0 self.speak_state = 0 self.shoulder_angle = shoulder_angle if self.count % 1 == 0: self.speak_driver.speed_control(200) self.speak_driver.add_speak("{}".format(int(self.count))) if self.shoulder_angle - shoulder_angle < 4 and elbow_2 < 95 and time.time() - self.last_time > self.interval: self.feedback = "上升" if self.direction == 1: self.time += 1 if self.time > 1: self.count += 0.5 self.direction = 0 self.time = 0 self.last_time = time.time() if 155 > Concave_angle_2: self.time += 1 if self.time > 3: self.time = 0 if self.speak_state == 0: self.speak_driver.add_speak('塌腰') self.speak_state = 1