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small updates
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goldbattle committed Mar 15, 2022
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3 changes: 2 additions & 1 deletion ReadMe.md
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Expand Up @@ -34,6 +34,7 @@ To find the classification for a given pixel, the argmax of the classes response

## Future Work / TODOs

- Use the larger "trainable" image set [link](https://docs.google.com/spreadsheets/d/1ZKqku0cAyWY0ELY5L2qsKYYYA2AMGbgAn4p53uoT3v8/edit#gid=0)
- Allow setting of max return prop
- See if dropout in network helps
- Compare against baseline: https://github.com/commaai/comma10k/issues/2000
Expand All @@ -47,7 +48,7 @@ Right now there are 8908 images in the [files_trainable](https://github.com/comm
It seems to perform ok after >20 epochs, but the fine detail seems to struggle.
Training started at 4:53pm on March 13, 2022 and reached epoch 33 at 8:55pm (7 minutes per epoch) on a 1080Ti card.
It would be interesting to perform evaluation only on "confident" network returns.

Average loss of 0.0694 on test and 0.0549 on training data after 100 epochs

Input picture (left), groundtruth (top right), and prediction (bottom right)
![](docs/example_pred.png)
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