Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Segmentation, Human Attribute Recognition, Pornography Detection, Image Super Resolution, Text Similarity, Car License Plate, etc.
License: Apache License 2.0
I expected the cloudformation template to launch the API for use
With APIExplorer seeing No operations defined in spec!
Look into the deployed api?
Run the cloudformation template in any us-east-1
Dear Yan,
I encountered an issue while attempting to deploy the "Yes: Lite OCR - Traditional Chinese" solution.
Regrettably, the deployment process encountered a failure. Could you kindly assist me in identifying any oversights on my part?
The CloudFormation event status indicates the following:
Embedded stack arn:aws:cloudformation:us-east-1:xxxxxxxxxxxxxx:stack/AI-Solution-Kit-GeneralOCRTraditionalChineseNestedStackGeneralOCRTraditionalChineseNes-1VM9U651N5ADC/345f22c0-b5a7-11ee-9f27-12bf2aef6c25 was not successfully created. The following resource(s) failed to create: [generalocrtraditionalchinesegeneralocrtraditionalchineseApp89CAEB4E].
I appreciate your prompt attention to this matter and any assistance you can provide in resolving the deployment issue.
Best regards,
TC
Hello!
I hope you are doing well!
We are a security research team. Our tool automatically detected a vulnerability in this repository. We want to disclose it responsibly. GitHub has a feature called Private vulnerability reporting, which enables security research to privately disclose a vulnerability. Unfortunately, it is not enabled for this repository.
Can you enable it, so that we can report it?
Thanks in advance!
PS: you can read about how to enable private vulnerability reporting here: https://docs.github.com/en/code-security/security-advisories/repository-security-advisories/configuring-private-vulnerability-reporting-for-a-repository
Being able to deploy the template.
CloudFormation errors out because of deprecated go1.x runtime.
Move to provided.al2 or provided.al2023 runtimes.
Simply changing the value in the template does not seem to work though as the bootstrap handler is not found then.
Error: Couldn't find valid bootstrap(s): [/var/task/bootstrap /opt/bootstrap] Runtime.InvalidEntrypoint
it’s related to use case in #2 ,
When super-resolution an image with internal error, however the API still responses http status 200. The error msg also expose the some internal information, such as account id.
Use super-resolution with inf1 instance, I tried inf1.xlarge and inf1.6xlarge.
When super-resolution a large pixel image(4000x3000), got below errors,
inf1.xlarge instanceinf1.6xlarge instanceIf the resolution of image can not be supported, pls give the friendly error message, like http status 4xx with proper information.
I've tried deploying this with and without authentication. I can get other endpoints to work (like pornography detection), however this endpoint (although it shows up in the "output" section) always returns this error:
{
"message": "No method found matching route super-resolution/ for http method POST."
}
Template should create stack
Template fails
Import template and create stack with PornographyDetection | yes-lambda enabled
Stack creation fails with the following error, no other info provided.
Embedded stack arn:aws:cloudformation:us-east-1:948320724766:stack/AIImageDetector-PornographyDetectionNestedStackPornographyDetectionNestedStackResource-36PDX2AQZ7GR/b095a010-8c33-11ed-8a72-1232682a975b was not successfully created: The following resource(s) failed to create: [pornographydetectionpornographydetectionAppDCBBB4C1].
Execution log for request 410b4f79-3c8a-480e-9e29-25625f3d9784
Tue Nov 16 02:15:30 UTC 2021 : Starting execution for request: 410b4f79-3c8a-480e-9e29-25625f3d9784
Tue Nov 16 02:15:30 UTC 2021 : HTTP Method: POST, Resource Path: /resolution
Tue Nov 16 02:15:30 UTC 2021 : Method request path: {}
Tue Nov 16 02:15:30 UTC 2021 : Method request query string: {}
Tue Nov 16 02:15:30 UTC 2021 : Method request headers: {Content-Type= application/json}
Tue Nov 16 02:15:30 UTC 2021 : Method request body before transformations: {
"url":"https://aikits.demo.solutions.aws.a2z.org.cn/img/sr-5.jpg"
}
Tue Nov 16 02:15:30 UTC 2021 : Endpoint request URI: https://lambda.us-east-1.amazonaws.com/2015-03-31/functions/arn:aws:lambda:us-east-1:958422602275:function:AIKitsSuperResolutionStac-humanseglambdaapp53B7B52-GJ7ESt0qZRFk/invocations
Tue Nov 16 02:15:30 UTC 2021 : Endpoint request headers: {X-Amz-Date=20211116T021530Z, x-amzn-apigateway-api-id=0pnzq370l8, Accept=application/json, User-Agent=AmazonAPIGateway_0pnzq370l8, Host=lambda.us-east-1.amazonaws.com, X-Amz-Content-Sha256=1bdcc6bde9e33fd77f3d296ea43d47fa25b680e764ca93656c0a069cce3dad0b, X-Amzn-Trace-Id=Root=1-61931442-e702479ee55d643149b8511a, x-amzn-lambda-integration-tag=410b4f79-3c8a-480e-9e29-25625f3d9784, Authorization=*********************************************************************************************************************************************************************************************************************************************************************************************************************************************635988, X-Amz-Source-Arn=arn:aws:execute-api:us-east-1:958422602275:0pnzq370l8/test-invoke-stage/POST/resolution, X-Amz-Security-Token=IQoJb3JpZ2luX2VjEMv//////////wEaCXVzLWVhc3QtMSJGMEQCIAcmMk7QzZrMp6fIOpqhIQSluMQRyi3sO5CHQwApdtvrAiAX+u55Xg9QMxMd3LERM0Aa1v/+gIWWvrdaCK [TRUNCATED]
Tue Nov 16 02:15:30 UTC 2021 : Endpoint request body after transformations: {"resource":"/resolution","path":"/resolution","httpMethod":"POST","headers":{"Content-Type":" application/json"},"multiValueHeaders":{"Content-Type":[" application/json"]},"queryStringParameters":null,"multiValueQueryStringParameters":null,"pathParameters":null,"stageVariables":null,"requestContext":{"resourceId":"pk31mf","resourcePath":"/resolution","httpMethod":"POST","extendedRequestId":"I4AabEFooAMFTEg=","requestTime":"16/Nov/2021:02:15:30 +0000","path":"/resolution","accountId":"958422602275","protocol":"HTTP/1.1","stage":"test-invoke-stage","domainPrefix":"testPrefix","requestTimeEpoch":1637028930564,"requestId":"410b4f79-3c8a-480e-9e29-25625f3d9784","identity":{"cognitoIdentityPoolId":null,"cognitoIdentityId":null,"apiKey":"test-invoke-api-key","principalOrgId":null,"cognitoAuthenticationType":null,"userArn":"arn:aws:iam::958422602275:user/fayland","apiKeyId":"test-invoke-api-key-id","userAgent":"aws-internal/3 aws-sdk-java/1.12.76 Linux/5.4.147-83.259.amzn [TRUNCATED]
Tue Nov 16 02:15:30 UTC 2021 : Sending request to https://lambda.us-east-1.amazonaws.com/2015-03-31/functions/arn:aws:lambda:us-east-1:958422602275:function:AIKitsSuperResolutionStac-humanseglambdaapp53B7B52-GJ7ESt0qZRFk/invocations
Tue Nov 16 02:15:30 UTC 2021 : Received response. Status: 200, Integration latency: 218 ms
Tue Nov 16 02:15:30 UTC 2021 : Endpoint response headers: {Date=Tue, 16 Nov 2021 02:15:30 GMT, Content-Type=application/json, Content-Length=1278, Connection=keep-alive, x-amzn-RequestId=9f578431-af11-4687-9cfb-dc93c457120b, X-Amz-Function-Error=Unhandled, x-amzn-Remapped-Content-Length=0, X-Amz-Executed-Version=$LATEST, X-Amzn-Trace-Id=root=1-61931442-e702479ee55d643149b8511a;sampled=0}
Tue Nov 16 02:15:30 UTC 2021 : Endpoint response body before transformations: {"errorMessage": "[ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from /mnt/lambda/Real_ESRGAN_x2.onnx failed:Protobuf parsing failed.", "errorType": "InvalidProtobuf", "stackTrace": [" File \"/var/lang/lib/python3.8/imp.py\", line 234, in load_module\n return load_source(name, filename, file)\n", " File \"/var/lang/lib/python3.8/imp.py\", line 171, in load_source\n module = _load(spec)\n", " File \"<frozen importlib._bootstrap>\", line 702, in _load\n", " File \"<frozen importlib._bootstrap>\", line 671, in _load_unlocked\n", " File \"<frozen importlib._bootstrap_external>\", line 843, in exec_module\n", " File \"<frozen importlib._bootstrap>\", line 219, in _call_with_frames_removed\n", " File \"/var/task/super_resolution_app.py\", line 21, in <module>\n ort_session_x2 = onnxruntime.InferenceSession(access_point + '/Real_ESRGAN_x2.onnx')\n", " File \"/opt/onnxruntime/capi/onnxruntime_inference_collection.py\", line 283, in __init__\n [TRUNCATED]
Tue Nov 16 02:15:30 UTC 2021 : Lambda execution failed with status 200 due to customer function error: [ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from /mnt/lambda/Real_ESRGAN_x2.onnx failed:Protobuf parsing failed.. Lambda request id: 9f578431-af11-4687-9cfb-dc93c457120b
Tue Nov 16 02:15:30 UTC 2021 : Method completed with status: 502
just build from the template and tested in apigateway. not working. please advise
Deployed super-resolution API with inf1 instance and IAM_AUTH auth type. But the deployed API does not have authentication at all!
I tested it many times, but it couldn't be used. I don't know what the problem is
Unable to create any ai-solution-kit services, such as OCR, target recognition, etc.
The error:
Embedded stack arn:aws:cloudformation:us-east-1:975049896832:stack/AI-Solution-Kit-ObjectRecognitionSageMakerNestedStackObjectRecognitionSageMakerNestedS-1XG6MAPB45FLV/3590e2b0-f6e7-11ee-b785-12db9a32952b was not successfully created: The following resource(s) failed to create: [objectrecognitionconstructsagemakerEndpointEA8278DB].
from this url:
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