ilmonteux
/ jet_images.ipynb
Last active
June 21, 2023 15:53
Convolutional Neural Networks for jet classification - barebone pipeline
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ilmonteux
/ segmentation_metrics.py
Last active
October 24, 2024 13:19
Semantic segmentation metrics in Keras and Numpy. IoU, Dice in both soft and hard variants. Mean metrics for multiclass prediction. See https://ilmonteux.github.io/2019/05/10/segmentation-metrics.html for discussion
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| import numpy as np | |
| import keras.backend as K | |
| import tensorflow as tf | |
| def metrics_np(y_true, y_pred, metric_name, metric_type='standard', drop_last = True, mean_per_class=False, verbose=False): | |
| """ | |
| Compute mean metrics of two segmentation masks, via numpy. | |
| IoU(A,B) = |A & B| / (| A U B|) | |
| Dice(A,B) = 2*|A & B| / (|A| + |B|) |
ilmonteux
/ us_state_names.py
Created
November 30, 2020 06:16
Name of US states and state equivalents
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| # from US census website (cb_2017_us_state_20m.shp, no hard-links because they keep changing them...) | |
| us_states = ['Alaska', 'California', 'Colorado', 'District of Columbia', 'Idaho', 'Illinois', 'Iowa', 'Kentucky', 'Louisiana', 'Maryland', 'Minnesota', 'Missouri', 'New York', 'Oregon', 'Tennessee', 'Texas', 'Virginia', 'Wisconsin', 'Alabama', 'Arizona', 'Arkansas', 'Indiana', 'Kansas', 'Maine', 'Connecticut', 'Delaware', 'Georgia', 'Hawaii', 'South Carolina', 'South Dakota', 'Massachusetts', 'Michigan', 'Mississippi', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'North Carolina', 'North Dakota', 'Rhode Island', 'Ohio', 'Oklahoma', 'Pennsylvania', 'Florida', 'Montana', 'Utah', 'Vermont', 'Washington', 'West Virginia', 'Wyoming', 'Puerto Rico'] |