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{ "$schema-template": "2.0.0", "modulesContent": { "$edgeAgent": { "properties.desired": { "schemaVersion": "1.0", "runtime": { "type": "docker", "settings": { "minDockerVersion": "v1.25", "loggingOptions": "", "registryCredentials": { "$CONTAINER_REGISTRY_USERNAME_myacr": { "username": "$CONTAINER_REGISTRY_USERNAME_myacr", "password": "$CONTAINER_REGISTRY_PASSWORD_myacr", "address":...

{ "modulesContent": { "$edgeAgent": { "properties.desired": { "schemaVersion": "1.0", "runtime": { "type": "docker", "settings": { "minDockerVersion": "v1.25", "loggingOptions": "", "registryCredentials": { "$CONTAINER_REGISTRY_USERNAME_myacr": { "username": "$CONTAINER_REGISTRY_USERNAME_myacr", "password": "$CONTAINER_REGISTRY_PASSWORD_myacr", "address": "$CONTAINER_REGISTRY_USERNAME_myacr.azurecr.io" }...

I also tested this issue with ML package versions : Microsoft.ML (1.7.1), Microsoft.ML.ImageAnalytics (1.7.1). Microsoft.ML.OnnxTransformer (1.7.1) but issue still exists.

[python-code.zip](https://github.com/dotnet/machinelearning/files/9555111/python-code.zip) Uploaded Python code which is giving correct result with ONNX model

Hi Team, Can you please have a look at this ticket, this is related to a production issue.

Hi Michael, Thank you for response. We can close this issue. I was able to resolve this by using ImagePixelExtractingEstimator of ML.Net pipeline.