[https://pyimagesearch.com/2019/07/15/video-classification-with-keras-and-deep-learning]

Features

Lane weaving

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Collisions

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Tailgating

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Training Data

700 samples just like pyimagesearch's example

Fixes

lr is named learning_rate instead

.h5 file name

[https://stackoverflow.com/questions/61742556/valueerror-shapes-none-1-and-none-2-are-incompatible]

Biases

Blur out damage counter during input

Training Time

Training time on M2 Pro 25 vs 50 epochs

Outcome

Show timelapse of safe driving vs risky driving

Improvements

Temporal information

RNN, LTSM, GRU, 3D CNN, 3D ResNet, 3D ResNet + LSTM, 3D ResNet + GRU, 3D ResNet + LTSM

precision recall f1-score support

risky 1.00 0.40 0.57 347 safe 0.00 0.00 0.00 0

accuracy 0.40 347

macro avg 0.50 0.20 0.28 347 weighted avg 1.00 0.40 0.57 347

TODO

Todo for website: sep coop from ec

• Idea: Show cumulative scores as the video plays. (safe vs risky scores increasing side by side)