No, let's say I have a set of videos I've already broken down into frames, that have a specific partition structure, eg:
s3://my-path/parent_id={}/child_id={}
Where the parent_id holds a set frames partitioned by a specific set of ID's. This is for performance reasons doing sagemaker inference (if I uploaded a 25 minute video and tried to do inference on all the frames, that would be very time consuming without splitting the jobs parallel)
Hello, i want to use the MIE API to execute a workflow with a video which is in S3 and I get a 500. How should the media object be specified?
I use the following Code:
headers = {"Content-Type": "application/json", "Authorization": IdToken}
response = http.request('POST', workflow_api_endpoint+'workflow/execution', body=data.encode('utf-8'), headers=headers)
json.loads(response.data.decode('utf-8'))
{'Code': 'ChaliceViewError',
'Message': "ChaliceViewError: Exception ''S3Bucket''"}
{
...,
"Input":
{"Media":
{"Video":
{"S3Bucket": "mie-dataplane-1yk436e309xh",
"S3Key":"Man_weiß_et_nich-TV_total_Nippel.mp4"}
}
}
}
1 reply
and tried to deploy my own stack. the stacks were created successfully, however, the access to the webapp url is denied. When i look into the S3 bucket of the webapplication, there is no index.html file inside. The access deny was logged in the S3 bucket when i try to access the webapplication
9 replies
Another questions i have is that if the media insight engine supports user interaction with video data. for example, tagging individual frame and save the tagging information in S3? the sagemaker ground truth service is able to do this kind of task. however, the UI is kind of primitive in sagemaker and i would like to design a labeling tool using media insights engine. Thanks in advance
3 replies
In the https://github.com/awslabs/aws-media-insights-engine/blob/master/IMPLEMENTATION_GUIDE.md
Obtain a Cognito Token
First define the following environment variables. MIE_USERNAME and MIE_PASSWORD should have been emailed to the email address you specified when you deployed the stack. MIE_DEVELOPMENT_HOME should be the path to your aws-media-insights-engine/ development environment, such as /Users/myuser/development/aws-media-insights-engine/.
The MIE_DEVELOPMENT_HOME should be set to "/Users/myuser/development/aws-media-insights-engine/source" instead
2 replies
"defaultTextSynthesisStage":{"Polly":{"Enabled":false}} with no avail
We’ve developed a new application for transcribing and translating videos, using MIE. This new app enables users to control the tunable parameters in Transcribe and Translate. If you'd like to learn more about this application, register for the following webinar:
Oct 29, 2020 10:00 AM - 11:30 AM PDT, "Session 1: “Artificial” AI: Improving Subtitles with Human in-the-Loop Review".
Landing page:
https://aws.amazon.com/solutions/implementations/aws-content-analysis/
Documentation:
https://docs.aws.amazon.com/solutions/latest/aws-content-analysis/
Source Code:
https://github.com/awslabs/aws-content-analysise
Changelog:
https://github.com/awslabs/aws-content-analysis/blob/main/CHANGELOG.md
Notable new features:
- support for multiple deployments in one region
- debug tracing via AWS X-Ray
- standardized test scripts for unit, integration, and end to end tests. See, https://github.com/awslabs/aws-media-insights-engine/blob/master/test/README.md
MIE 2.0.1 was released today.
https://github.com/awslabs/aws-media-insights-engine/releases/tag/v2.0.1
This release introduces the ability to support human in the loop subtitle generation and editing workflows along with new mechanisms for performing automated builds, testing, and releases for faster release cycles. You can find additional details in the release notes.
MIE 2.0.2 was released today.
https://github.com/awslabs/aws-media-insights-engine/releases/tag/v2.0.2
This release includes bug fixes and developer usability improvements, such as:
- simpler command line usage of the build script with named parameters,
- MIE / API versions returned via a new API route and as a Cloudformation Output,
- and tagging of all MIE resources.
We also have a new Github pages site that contains API reference documentation:
3 replies
https://github.com/awslabs/aws-media-insights-engine/releases/tag/v2.0.3
- Includes a new feature for controlling video playback speed
- Also includes more robust support for deploying multiple MI instances per region
https://github.com/awslabs/aws-media-insights-engine/releases/tag/v2.0.4
We ran into an issue when trying to upload .MXF format video files. The upload is Successful when we 'Start Workflow' but the uploaded video file does not show up under 'Collections'. We tested the upload functionality for .MP4 and .MOV files and it worked fine and showed up under 'Collections'.
We had some questions- is there a bucket policy or a Lambda policy that prevents .MXF files from proceeding in the flow? Any help would be highly appreciated, thank you!
2 replies