407224eba1
Got rid of the converged multiplexer bases but kept the configurable architecture. The new multiplexers look a lot like the old one. Took some queues from the transformer architecture: translate image to a higher filter-space and stay there for the duration of the models computation. Also perform convs after each switch to allow the model to anneal issues that arise. |
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.. | ||
.idea | ||
data | ||
data_scripts | ||
metrics | ||
models | ||
options | ||
scripts | ||
temp | ||
utils | ||
distill_torchscript.py | ||
onnx_inference.py | ||
process_video.py | ||
requirements.txt | ||
run_scripts.sh | ||
test.py | ||
train.py |