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    #46
    With the python plugin being dead, what's the plan next to upgrade this.

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      #47
      How did you manage to upload those gifs?

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        #48

        Originally posted by FAHR View Post
        How did you manage to upload those gifs?



        Insert image, paste url to e.g. imgur and do not retrieve locally.

        Originally posted by envenger View Post
        With the python plugin being dead, what's the plan next to upgrade this.

        I haven't had a chance to look at the UnrealEnginePython breaking changes for 4.24 yet, but will likely look into making the split between https://github.com/getnamo/machine-learning-remote-ue4 which would still use your local python but via socket.io transparently and https://github.com/getnamo/tensorflow-native-ue4 for native/inference focus.

        The remote is ready to use on e.g. windows systems, I need to squash a bug or two to make it run well on linux. The inference focused plugin needs BP api work.
        Plugins: GES - Node.js - TensorFlow - Socket.io Client - ZipUtility - Leap Motion - Hydra - Myo

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          #49
          Hey,

          I tried using the plugin for unreal version 4.23, the project loads up to 71% and then disappears. When I do a debug build from Visual Studio, I get the following error:

          Fatal Python error: Py_Initialize: unable to load the file system codec

          I have python 3.8 installed on my machine, do you know what is the source of this error or what can I do to make the plugin work?
          Thanks

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            #50
            Hey,

            I'm starting working with tensorflow plugin. I would like to use neural style transfer techniques.
            My question is : Is there currently a way to input an image rather than a json?

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              #51
              Originally posted by vegdrop View Post
              Hey,

              I'm starting working with tensorflow plugin. I would like to use neural style transfer techniques.
              My question is : Is there currently a way to input an image rather than a json?
              Current pipeline uses json for transport. If you input an image it will convert into a Json array value of floats which can easily be loaded into numpy.
              1) a binary serialized image is an enhancement has been on the docket for a while: https://github.com/getnamo/tensorflow-ue4/issues/7. Likely with the push toward tcp oriented data pipe, just serializing this instead of pointer pass is more likely.
              2) ideally we'd have a way to mark a texture as a shareable and then be able to re-use this pointer in tensorflow, I'm unsure if tensorflow has ops that supports this in theory.

              If you come up with a better solutions, code contributions are welcome!
              Plugins: GES - Node.js - TensorFlow - Socket.io Client - ZipUtility - Leap Motion - Hydra - Myo

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