Bend Classification Models
This repository organises our trained models for classifying bend sharpness using time-sequence data from two datasets: RGB and Wide View Dense Optic Flow. Overview
Model Varients:
- RGB Images
- Wide View Dense Optic Flow
Our dataset:
https://huggingface.co/datasets/aap9002/RGB_Optic_Flow_Bend_Classification
Our Training Script:
https://github.com/AAP9002/Third-Year-Project/blob/main/nn/left_right_classification.ipynb
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# !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://aap9002/RGB_Optic_Flow_Bend_Classification")