What the model is about webdnn HOT 5 CLOSED

The ./model is directory of model files in webdnn's original format.
This is converted from model file trained in tensorflow, caffe etc. by python tool provided in webdnn.

In the following tutorial, command like python train_mnist_keras.py --model fc does the conversion.
https://github.com/mil-tokyo/webdnn/tree/master/example/mnist

from webdnn.

So your Python tool converts models from other formats into one common forman? Is there a chance, that you describe that common format? Then, model training tools could export directily in that format, instead of you writing scripts for each tool.

from webdnn.

The converted model format is backend-specific and depends on model optimization algorithm implemented in the converter. Backend means WebMetal, WebAssembly, etc. Therefore, it is difficult to implement export tool on deep learning framework side. My plan to simplify the system is to limit input model format to ONNX.

from webdnn.

Hi, I made a parser for .caffemodel = Protocol Buffers + caffe-specific scheme. It is about 65 lines of Javascript without any dependencies. It is here on lines 115 - 180: https://github.com/photopea/UNN.js/blob/master/UNN.util.js

I used it to load , parse and run some .coffemodel models completely in a web browser. I think all your non-JS tools can be easily rewritten into JS, allowing your users do everything in a browser.

from webdnn.

By the way, I made a parser for ONNX in Javascript. ONNX is also based on Protocol Buffers, just like Caffe, and is extremely easy to parse.

By the way, do you know ONNX.js from Microsoft? I think it is a competitor to WebDNN. It beats Keras.js and TensorFlow.js https://github.com/microsoft/onnxjs

from webdnn.