[英]AWS-DeepLens: How to access the pre-trained model for object recognition in S3
I am using AWS with the DeepLens device and I want to fine-tune a model for object-recognition.我正在将 AWS 与 DeepLens 设备一起使用,并且我想微调对象识别模型。 Because DeepLens still has limitations with the layers it can support I want to start from the same model that the demo project has.因为 DeepLens 对它可以支持的层仍然有限制,所以我想从演示项目具有的相同模型开始。
According to the description of the demo project the model is at s3://deeplens-managed-resources/models/SSDresNet50.根据演示项目的描述,模型位于 s3://deeplens-managed-resources/models/SSDresNet50。
However, when I open the S3 service there is no deeplens-managed-resources bucket.但是,当我打开 S3 服务时,没有 deeplens-managed-resources 存储桶。
Does anyone know why could that be and how I can access the model?有谁知道为什么会这样以及我如何访问模型?
PS: If more information is needed please let me know so that I can edit my answer to include it. PS:如果需要更多信息,请告诉我,以便我可以编辑我的答案以包含它。
I dont know about the S3 managed bucket but you can find the pretrained model inside your deeplens when you deploy the sample project.我不知道 S3 托管存储桶,但您可以在部署示例项目时在 deeplens 中找到预训练模型。 This model files can be obtained in /opt/awscam/artifacts/ location and then you can pick it to retrain your model.可以在 /opt/awscam/artifacts/ 位置获取此模型文件,然后您可以选择它来重新训练您的模型。
I could not find a way to access the deeplens-managed-resources bucket from the AWS console on a web browser.我找不到从 Web 浏览器上的 AWS 控制台访问 deeplens-managed-resources 存储桶的方法。
However, one can access it with the AWS-cli and use the "aws s3 sync" command to download the bucket's content in a local directory.但是,可以使用 AWS-cli 访问它并使用“aws s3 sync”命令将存储桶的内容下载到本地目录中。
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