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Hi,
I am able to run:
docker run --gpus all -d -p 8888:5000 -v /data:/data nvcr.io/nvidia/digits:20.03-tensorflow-py3
and I would like to load my ssdlite-mobilenet-v3-kitti model trained by tensorflow-gpu==1.15 as my pretrained model. I do have both frozen model as well as check point model saved. But when I click on DIGITS=>Pretrained Models=>Upload Pretrained Model I don't see any option that I can upload my tensorflow model. What am I missing? Please help. Is it true that DIGITS only work for caffe or pytorch pretrained model not tensorflow pretrained model? If work for tensorflow pretrained model, what model format it expects to load? Thanks.
The text was updated successfully, but these errors were encountered:
Hi,
I am able to run:
docker run --gpus all -d -p 8888:5000 -v /data:/data nvcr.io/nvidia/digits:20.03-tensorflow-py3
and I would like to load my ssdlite-mobilenet-v3-kitti model trained by tensorflow-gpu==1.15 as my pretrained model. I do have both frozen model as well as check point model saved. But when I click on DIGITS=>Pretrained Models=>Upload Pretrained Model I don't see any option that I can upload my tensorflow model. What am I missing? Please help. Is it true that DIGITS only work for caffe or pytorch pretrained model not tensorflow pretrained model? If work for tensorflow pretrained model, what model format it expects to load? Thanks.
The text was updated successfully, but these errors were encountered: