Dense Pose crashes

[samhodge]

Server -> Receiving message of size: 24883378
Server -> 24883378 bytes read
Server -> Message parsed
Server -> Received inference request
Server -> Requesting inference on model: densepose
Server -> Starting inference
WARNING:root:[====DEPRECATE WARNING====]: you are creating an object from CNNModelHelper class which will be deprecated soon. Please use ModelHelper object with brew module. For more information, please refer to caffe2.ai and python/brew.py, python/brew_test.py for more information.
Server -> Exception caught on inference on model:
Server -> Serializing message
Server -> Sending response message of size: 18
Server -> ----------------------------------------------

But in the good news pile, MaskRCNN works.

[ringdk]

Great to hear Mask R-CNN is running!

As for DensePose not running, from the console output it looks like it should have returned an error to Nuke. Is any error displayed in the Viewer?

One thing to check is to start with a clean Nuke script, load MLClient, make sure that DensePose is the first model you choose to run. Another thing to check is that you have enough GPU memory available (but you normally get a big error when this happens so it's unlikely.)

[samhodge]

There was a Red error message, I will boot into CentOS 7.4 in about 12 hours from now, right now I have other priorities.

I am very interested in getting a lot more familiar with DensePose with regard to closing the loop and returning temporally sparse Roto shapes to Nuke.

It will probably take a block of time in the hundreds of hours to perfect.

[samhodge]

This is all I get as an error

ERROR: MLClient1: