更新配置文件和添加ROI配置
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ROI/config copy.yaml
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21
ROI/config copy.yaml
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input:
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height: 480
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video_path: rtsp://10.0.0.50:8554/camera_test/scene1
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width: 640
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roi_filter:
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enabled: true
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regions:
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- description: 控制摇杆区域
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enabled: true
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name: control_lever_area
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x_max: 0.3
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x_min: 0.1
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y_max: 0.9
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y_min: 0.7
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- description: 阀门区域
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enabled: true
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name: valve_area
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x_max: 0.8
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x_min: 0.7
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y_max: 0.8
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y_min: 0.6
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config.yaml
140
config.yaml
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input:
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height: 480
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video_path: rtsp://10.0.0.50:8554/camera_test/scene1
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width: 640
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roi_filter:
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enabled: true
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regions:
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- description: 控制摇杆区域
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enabled: true
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name: control_lever_area
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x_max: 0.3
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x_min: 0.1
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y_max: 0.9
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y_min: 0.7
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- description: 阀门区域
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enabled: true
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name: valve_area
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x_max: 0.8
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x_min: 0.7
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y_max: 0.8
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y_min: 0.6
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# engine_path: 'build_250306/'
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engine_path: 'build_20251226/'
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video_config:
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# 保存m3u8文件路径
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# m3u8_path: '/home/pro/hls/mid/'
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# m3u8_path: '/workspace/hls_data/mid/'
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m3u8_path: 'output/'
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# 保存mp4文件路径
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# save_path: '/home/pro/tensorrtx-master/yolov8/mp4/'
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save_path: 'mp4/'
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people_save_path: 'attendance/'
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# categories : ["face", "shoe", "phone", "e-bike"]
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categories: ["helmet", "non-Helmet", "shoe"]
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# m3u8_path_0: '/workspace/hls_data/mid/'
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m3u8_path_0: 'output/'
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v0_ip: 'test243'
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v0_channelNo: '0#'
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v0_testclasses: [0, 1, 2]
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# v0_path: 'rtsp://180.50.12.106:8554/camera_test/2'
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v0_path: '/home/admin-root/haotian/锻8/tensorrtx/yolov8/video/场景1.mp4'
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v1_ip: '180.50.13.20'
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v1_channelNo: 'D19'
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v1_testclasses: [1, 2]
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v1_path: 'rtsp://admin:sy12345678@180.50.13.20:554/Streaming/Channels/102'
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v2_ip: '180.50.13.21'
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# v2_path: 'rtsp://10.0.0.17:8554/camera_test/2'
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v2_channelNo: 'D20'
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v2_testclasses: [1, 2]
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v2_path: 'rtsp://admin:sy12345678@180.50.13.21:554/Streaming/Channels/102'
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v3_ip: '180.50.13.22'
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# v3_path: 'rtsp://10.0.0.17:8554/camera_test/2'
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v3_channelNo: 'D21'
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v3_testclasses: [1, 2]
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v3_path: 'rtsp://admin:sy12345678@180.50.13.22:554/Streaming/Channels/102'
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v4_ip: '180.50.13.23'
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# v4_path: 'rtsp://10.0.0.17:8554/camera_test/2'
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v4_channelNo: 'D22'
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v4_testclasses: [1, 2]
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v4_path: 'rtsp://admin:sy12345678@180.50.13.23:554/Streaming/Channels/102'
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v5_ip: '180.50.13.24'
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# v5_path: 'rtsp://10.0.0.17:8554/camera_test/2'
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v5_channelNo: 'D23'
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v5_testclasses: [1, 2]
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v5_path: 'rtsp://10.0.0.50:8554/camera_test/scene1'
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v6_ip: '192.168.21.30'
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# v6_path: 'rtsp://10.0.0.17:8554/camera_test/2'
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v6_channelNo: '6#'
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v6_testclasses: [0]
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v6_path: 'rtsp://admin:12345678a@192.168.21.30:554/Streaming/Channels/101'
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v7_ip: '192.168.21.37'
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v7_channelNo: '7#'
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v7_testclasses: [0]
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v7_path: 'rtsp://admin:12345678a@192.168.21.37:554/Streaming/Channels/101'
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v8_ip: '192.168.21.50'
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v8_channelNo: '8#'
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v8_testclasses: [0]
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v8_path: 'rtsp://admin:12345678a@192.168.21.50:554/Streaming/Channels/101'
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v9_ip: '192.168.21.51'
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v9_channelNo: '9#'
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v9_testclasses: [0]
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v9_path: 'rtsp://admin:12345678a@192.168.21.51:554/Streaming/Channels/101'
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v10_ip: '192.168.21.18'
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v10_channelNo: '10#'
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v10_testclasses: [0]
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v10_path: 'rtsp://admin:12345678a@192.168.21.18:554/Streaming/Channels/101'
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v11_ip: '192.168.21.55'
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v11_channelNo: '11#'
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v11_testclasses: [0]
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v11_path: 'rtsp://admin:12345678a@192.168.21.55:554/Streaming/Channels/101'
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minioConfig:
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# endpoint: '10.0.0.58:9000/'
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# access_key: 'root'
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# secret_key: '@root123456'
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# secure: False
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# bucket_name: 'miniotest'
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# bucketName: vi
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endpoint: '180.50.12.100:9000/'
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access_key: 'admin'
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secret_key: '12345678aA'
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secure: False
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bucket_name: 'vi-attachment'
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dataConfig:
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# getTokenUrl: 'http://192.168.220.202/api/appsys/sso/httpheader/login/v1?username_=digital'
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getTokenUrl: 'http://180.50.12.100/api/appsys/sso/httpheader/login/v1?username_=szls'
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# putMessageUrl: 'http://192.168.220.200/api/edge/edgecallmanages/vi-alarm/v1'
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putMessageUrl: 'http://180.50.12.100/api/edge/edgecallmanages/vi-alarm/v1'
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timeInterval: 600
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# getTokenUrl: 'http://192.168.220.202/api/appsys/sso/httpheader/login/v1/username_=digital'
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# putMessageUrl: 'http://192.168.220.202/api/edge/edgecallmanages/vi-alarm/v1'
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compreface_service:
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domain: 'http://180.50.12.104'
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port: '8000'
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api_key: '88f43f2f-1483-4ad0-ae6c-8f1a800c3acd'
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# api_key: 'ab77978a-cc2b-4fa0-8959-6294e856721a'
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# api_key: '6d89a2ce-b71a-4894-96bb-03c6712e86d0'
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# 人脸置信度，>0.9 就判断为人脸
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det_prob_threshold: 0.99
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# 识别图像中人脸的个数，0代表没有限制。
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limit: 0
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