Run inference with .joint model

[mikel-brostrom]

I want to run inference on my exported .joint model to be able to evaluate its INT8 COCO mAP performance. I only see one way of doing this:

pulsar run\
    my_model.joint\
    --input resnet18_export_data/images/cat.jpg\
    --output_gt inference_results

And then read the the generated .npy file. I want to avoid reading from file as it is a very time consuming operation. Is there a way of returning the results from the system call itself? Are you planning to implement this?