Open tahouse opened 5 years ago
@tahouse : The result is indeed very funny. I think we might need to look into the resnet-50 model. To unblock yourself, I would recommend taking any resnet-50 model (from MXNet or PyTroch) and using the model-archiver tool to create your own model file to be loaded onto MMS. In the mean time, we can take a look into the issues with the model.
Thanks for the response. I've tried using the model archiver with a Gluon Vision pretrained model. I followed the tutorial for SqueezeNet -- replacing with an exported ResNet50 model. The Model Archiver never completes and the output .mar
file grows until I kill the process (got up to 30 GB before I killed the process). Maybe the handler needs modification?
@tahouse : Could you share the reproducible steps? Since its a pretrained model, please provide the exact steps of how you prepared the model artifacts and how you ran model-archiver tool.
I'm getting bad inference results from ResNet ONNX models. The image of the cat used in the example is reported as a pool table when using ResNet v1 or v2. This was initially reported in issue #284 Has this been resolved or is there a workaround?
I'm running AWS DLAMI v24.1 on p3.2xlarge.
MSS v 1.05
I've followed the directions in the model zoo and ResNet50 v1 and v2 both show terrible predictions. I'm guessing the input image isn't being fed properly to the models.
Command to start the model server
Inference requests: