Optic-flow-CNNs-15x15
Collection
Optic flow datasets created and accuracy optimized CNNs and MLPs trained for our paper Layton & Steinmetz (2024). Frontiers in Neuroscience. • 12 items • Updated
How to use OWLab/Optic-flow-CNN-L1-15x15 with Keras:
# !pip install -U keras tensorflow huggingface_hub
# Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
# "jax" and "torch" also work for computation once TensorFlow is installed.
import os
os.environ["KERAS_BACKEND"] = "tensorflow"
import keras
model = keras.saving.load_model("hf://OWLab/Optic-flow-CNN-L1-15x15")
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