Tudor Achim

Results 14 comments of Tudor Achim

Would love this as well :)

no need for a new pickle file see https://github.com/rykov8/ssd_keras/issues/52

It's also the same as `model.predict(img)[0, :, -8:]`. No need to get it from the pickle file.

@KevinYuk i suggest reading my comment more carefully

This is due to tensorflow fixing a problem with EMA -- see https://github.com/VittalP/UnsupGAN/issues/1 for a fix.

Sounds good, looks simple enough. The idea here is to support binary uploads/downloads to pass around arguments/return values to the containers? A couple questions: 1. I see some ACL-related commands...

Thanks. One more question -- does this library provide any support for copying a source tree over to the docker instances before running the function, or is the client responsible...

I see, that's a pretty reasonable solution. In our case researchers will be working in their own docker instances so it seems like we can just commit/push the instance itself...