Comments (2)
Can you please explain the conversion process? Thanks
from mxnet-model-gallery.
want to know if there is a general tool to convert tensorflow pre-trained model to mxnet, just like the https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter
from mxnet-model-gallery.
Related Issues (20)
- Different pre-processing pipelines for different models?
- Inception-v3, I use C++ to achieve preprocess, but all predict false
- Unable to download Inception-v3 HOT 1
- RuntimeError: prob_label is not presented HOT 1
- VGG model location HOT 5
- No labels files for VGG models HOT 4
- Squeezenet model is not available HOT 1
- Unable to download the pre-trained model:VGG16
- The Inception-BN Network needs to be updated
- NSFW model HOT 1
- Source Code of pretrained model
- Generate features using Pretrained Net for Smaller image (e.g. 11*11)
- I can not find pretrained model of inception-v4 and inception-resnet-v2
- different goal: classify landscape
- what's the correspondence between 1000 classes and 21000 sub classes?
- http://data.dmlc.ml/mxnet/models/ has been down now for a few days. HOT 2
- Convert Inception21k to PyTorch
- Not able to download Inception V3 pre-trained weights
- Inception V3 Pretrained Model HOT 1
- inception-21k.tar.gz can't be downloaded from http://data.dmlc.ml HOT 1
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from mxnet-model-gallery.