• 中文
• English

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基于trro现场设备C SDK，提供Python API使用示例。

|-- sdk_lib sdk目录
|-- device.pem 证书
|-- run_py.sh 运行脚本，会自动设置依赖库路径并启动python程序
|-- trro_sample.py python示例
|-- config_gen.py 配置生成脚本 \

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• 公有云

  1. 访问页面 https://console.cloud.tencent.com/trro/config 生成现场设备配置
  2. 复制生成的配置JSON内容，替换到本地config.json文件

1. 修改config_gen.py中的配置；
2. 运行python config_gen.py 自动生成并替换config.json

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1. 按配置生成建议，修改config.json配置文件
2. 确认./run_py.sh中正确引用对应平台（nvidia/soft）的动态库路径
3. 执行./run_py.sh， 如果提示权限不足，可先chmod +X ./run_py.sh

注意：

• 多网卡绑定时需要用root权限执行，或者在执行前添加权限 sudo setcap cap_net_raw,cap_net_bind_service+ep ./trro-test

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https://cloud.tencent.com/document/product/1584 可参看现场SDK说明部分

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Based on trro Field Device C SDK，provide Python API samples.

|-- sdk_lib SDK directory
|-- device.pem cloud cerfiticate
|-- run_py.sh python demo run script
|-- trro_sample.py python demo source code
|-- config_gen.py configuration generation python script \

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• revise config.json directly with or without the tools https://console.tencentcloud.com/trro/config
• using python script to generate
  1. revise the config_gen.py
  2. run python config_gen.py to generate config.json Note:
• for the international site, "cloud_mode" should be configured as "public_intl"

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1. revise config.json, refer to Configuration
2. revise ./run_py.sh，using the correct LD_LIBRARY_PATH for libs
   • ./sdk_lib/nvidia for nvidia jetson platform
   • ./sdk_lib/soft for common aarch64 platform
3. run ./run_py.sh，if not permitted，try chmod +X ./run_py.sh

Note:

• if using multiple networks transmission, recommend to run the program under root permission or add the permission to trro_test sudo setcap cap_net_raw,cap_net_bind_service+ep ./trro-test

https://www.tencentcloud.com/document/product/1252/67790