This gist has been superceded by Meta Graph functionality that has since been added to tensorflow core.
The code remains posted for archival purposes only.
| package epic.tensorflow | |
| import org.bytedeco.javacpp.{tensorflow, BytePointer} | |
| import org.bytedeco.javacpp.tensorflow.GraphDef | |
| /** | |
| * Created by kitaev on 1/22/16. | |
| */ | |
| class TensorflowModel(filename: String) { |
| """ | |
| Beam decoder for tensorflow | |
| Sample usage: | |
| ``` | |
| from tf_beam_decoder import beam_decoder | |
| decoded_sparse, decoded_logprobs = beam_decoder( | |
| cell=cell, |
This gist has been superceded by Meta Graph functionality that has since been added to tensorflow core.
The code remains posted for archival purposes only.
| """Plugin to display SimpleCV images inline in the IPython notebook""" | |
| from cStringIO import StringIO | |
| def display_image(img): | |
| io = StringIO() | |
| img.save(io, 'png') | |
| return io.getvalue() | |
| ip = get_ipython() | |
| png_formatter = ip.display_formatter.formatters['image/png'] | |
| png_formatter.for_type(SimpleCV.ImageClass.Image, display_image) |
| First Gist | |
| Update | |
| Nikita making an edit | |
| Another Update |