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I trained model with one sample. The sample results from eval.py are completely noisy but they are recognizable human speech. A sample result generation take the following times (Input: 80 time step(…
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To make predictions based on the fit method, is pickling the best approach or is there a better way to do it? Given the size of the file that is being generated with the probabilities with the fit met…
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### Your question
As the execution goes to the samplerCustomAdvanced node, before the first inference step, there will be a long time loading the model to vram.
I'm using Flux.d, the real infer…
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First of all, great work!
Considering that technical jargon may be used in real scenarios (especially when working in industrial settings), is there a way to improve recognition of these terms withou…
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when you infer in real time, the current and next initial_state of lstm defaults to None. so each frame is independent when we infer ?
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> I have test HFNet with TF-TRT on Tensorflow 1.x and Tensorflow 2
> When using TensorFlow 1.x, dynamics_op must set to true and it takes long time of initialization. When using Tensorf…
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1. How is the learning process conducted in the context of human-human correlations during training?
2. Was human-human interaction data added to the existing dataset?
3. Is it possible to detec…
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@NathanUA Thank you very much for such good contribution . I have seen a file [u2net_refactor.py](https://github.com/NathanUA/U-2-Net/blob/master/model/u2net_refactor.py "u2net_refactor.py") and in th…
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Thanks for this awesome repo! I want to test Lipnet on real-time video, i.e. Given a stream of image frames from the video (at 25 fps using the provided model) and output results at real time. However…
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Hello,
Firstly, I would like to thank you for making this repo.
I am working on an Object Detection project (multiclass). And after training the EfficientDet architecture on my custom images, I …