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Yes, that's correct. .tfci is just a file extension we chose to write the compressed images to. You can write/read them with the same Python script. The compressed stream is returned by the |
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Hello Dr. Balle,
I have tried to use bls2017.py to train my own model, but I'm not sure that whether bpp is estimated or not when training the model. So I printed the "bits" in "y_hat, bits = entropy_model(y, training=training) line 115", but found the numeric value (like 17400.3, I guess it is the number of bits required for encoding an image).
Also, I want to know what is the .tfci file and how can I get the stream of transmitted bits after a picture is compressed, please tell me how to do when you're available, thanks!
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