89 lines
2.6 KiB
Python
89 lines
2.6 KiB
Python
# coding:gb2312
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import multiprocessing
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import time
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import cv2
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from LSZXPagesLibrary.consensus import *
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from MCamera.camera import *
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from PureBackend.general import BAND_ID, ID
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from PureBackend.global_execrise_backend import GEB
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if __name__ == "__main__":
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eb = GEB(model="move_net").get_geb()
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# 获取当前链接的WiFi名称
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wifi_name = eb.get_connected_wifi_name()
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print(f"当前链接的WiFi名称:{wifi_name}")
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# 获得当前可链接的WiFi列表
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wifi_list = eb.get_wifi_list()
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print(f"当前可链接的WiFi列表:{wifi_list}")
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# 断开wifi链接
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state = eb.wifi_disconnect()
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print(f"断开wifi链接成功:{state}")
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# 链接指定WiFi
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state = eb.wifi_connect("LiShuZuoXun-DISPLAY")
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print(f"链接指定WiFi成功:{state}")
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# 获得当前训练标准
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train_info = eb.get_train_info()
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print(f"获得当前训练标准:{train_info}")
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# 设置训练标准
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state = eb.set_train_info(train_info)
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print(f"设置训练标准成功:{state}")
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# 更新汇总信息json
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state = eb.update_summary_info()
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print(f"更新汇总信息json成功:{state}")
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# 读取当前考核批次GET
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batch = eb.get_batch()
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print(f"读取当前考核批次GET:{batch}")
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# 生成新的考核批次GET
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batch = eb.set_batch()
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if batch:
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print(f"生成新的考核批次GET:{batch}")
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else:
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print(f"已经是最新批次了！")
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# 获得所有信息
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all_class = eb.get_all_class()
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all_score = eb.get_all_score()
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all_person = eb.get_all_person()
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print(f"所有班级：{all_class}")
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print(f"所有成绩：{all_score}")
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print(f"所有人员：{all_person}")
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print(f"第一个人员的信息：{all_person[0]}")
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print(
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[
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{
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IS_CHOOSE: False,
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NAME: score["name"],
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ID: score["id"],
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SCORE: score['run_bf_score'],
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COUNT: score['run_bf_count'],
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CLASS: score['class'],
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}
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for score in all_score
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]
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)
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# 启动一个蛇形跑考试
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first_person = all_person[0]
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state = eb.active_run_around(band_id=first_person[BAND_ID], person_id=first_person[ID])
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print(f"启动一个蛇形跑考试成功？:{state}")
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# 开始考试
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state = eb.start_exercise()
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print(f"开始考试成功？:{state}")
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# 获得实时成绩
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for frame in eb.get_exercise_video():
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score = eb.get_score()
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print(score)
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had_done = score["had_done"]
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if had_done:
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break
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if frame is None:
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continue
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cv2.imshow("runaround", frame)
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cv2.waitKey(1)
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# 结束考试
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state = eb.stop_exercise()
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print(f"结束考试成功？抢跑时间为:{state}")
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# 更新成绩
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state = eb.update_score()
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print(f"更新成绩成功？:{state}")
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