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ToDo_List.txt
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ToDo_List.txt
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Need:
Accuracy By Particle
Add Variance to Loss to minimize variance in x and y
Weighting for Area Prediction? Necessary?
3D!!!
Want:
Size of Accuracy Threshold search area adjustable by hyperparam
Length of Proposed Step
Length of Truth Step
Hyperparam Dict into a global variable
Make forward model pass same regardless of train/val (function)
Done:
Try L2 Weighting for Loss
Instead of Track End Class Make center pixel the 'track end'
Instead of Track End Prediction, use separate head to predict end of tracks
Accuracy of just placing Endstep
Accuracy of placing non-end steps
Doing Validation Set
Add 10dist Accuracy Threshold search area
Move Model to Own File ModelFunctions.py
Change Hyperparams to a dictionary
Load and format data function to DataLoader.py
Add option for network endpoint to be the center of crop, not special class
Change network loss&weights to be predicting area of pixels
Added preprocessing of input data for much faster loading from preprocessed file
Changed tensorboard logs so that train and val are overlaid. Easier to read.
DEPLOY SCRIPT WORKING! Yay!
Split train and val into two dataloaders for better tracking of events.
Added way to schedule learning rate changes
Added Method to flip input data on x-axis so tracks not all in beamdir
UPDATE METRICS FOR AREA PREDICTION
Dump Training PARAMS into txt file in the tensorboard folder w/ custom string
Pulling Train Data and Validation Data dynamically rather than all at once in the beginning
Create Loss Dynamic During Trainin
Feed in LArMatch Convolutional Net Features!!!
Make some Event Display Images