Application Demo based on NVIDIA Jetson supported models(6) 基于Jetson 模型开发应用 Demo(6)

[OpenMMLab-Assistant-004]

Application Demo based on NVIDIA Jetson supported models(6)

基于Jetson 模型开发应用 Demo(6)

Develop based on one of the following models:

MMPreTrain: mobilenetv2, mobileone,

MMDetection: rtmdet, yolov3, yolox

MMSegmentation: fastscnn, bisenetv2, stdc

MMPose: rtmpose, simcc, yolox-pose

Project requirements:

1. Submit the project's GitHub/Hackster project link.
2. Provide a deployment tutorial that complies with the code standards.
3. Create a demo video showcasing the application.

请从以下模型中选择一个进行开发：

预训练模型列表: mobilenetv2, mobileone, efficientnet

目标检测模型列表: rtmdet, yolov3, yolox mmseg: fastscnn, bisenetv2, stdc

姿态估计模型列表: rtmpose, simcc,yolox-pose

语义分割模型列表: fastscnn, bisenetv2, stdc

项目要求：

1. 提交项目Github项目链接
2. 产出部署教程，符合代码规范
3. 结果展示：创建一个演示应用程序，展示调优后的模型在 Jetson 平台上的性能和效果。制作演示视频，展示模型的输入、输出和关键功能。

硬件的使用可通过部署平台，使用Jetson Orin

Task Information

Repository：Other

Difficulty：Medium

Points：40

Estimated Time Consumption：28 days

Task Status

Claimant's Github ID：None

Claim Time：2023年08月23日

PR Link：None

Points to Note

To claim the task, please reply Claim the mission in the comment section. After claiming the task, please add our assistant bot called MeowMewo on WeChat at: openmmlabwx.

After completing the task, please submit a PR with the title starting with [MMSIG]. After submission, please reply with your PR link in the comments section of this Discussion. We will review your work as soon as possible.

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