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[Dan64]

I will change the text as following, I hope that is more clear.

DeepExMaxMemFrames:  Parameter used by ColorMNet model, specify the max number of encoded frames to keep in memory.
                                Its value depend on encode mode and must defined manually following the suggested values.
                                encode_mode=0, represent the batch size, suggested value are:
                                    6 or 8 : for 8GB GPU
                                    12 or 14 : for 12GB GPU
                                    24 or 28: for 24GB GPU
                                    must be > 0
                                encode_mode=1, suggested values are:
                                    4 or 5 : for 8GB GPU
                                    8 or 9 : for 12GB GPU
                                    15 or 16: for 24GB GPU
                                    must be > 0
                                encode_mode=2, there is no limit to this value, it can be set = 0 (all the frames in the clip)

If you know a way to get in python the amount of GPU memory I can try to set DeepExMaxMemFrames when is = 0, but for the moment it need to be always > 0. 
The only exception is for DeepExEncMode = 0 that has no memory limitation.

Please assign a value to max_memory_frame.

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I released the new RC8. 
Now in the case max_memory_frames == 0, the value is automatically assigned with the values suggested depending on the total GPU memory.

Dan