Bruno Guberfain do Amaral brunodoamaral
brunodoamaral
/ tensorboard_events_to_csv.py
Last active
August 30, 2018 13:12
— forked from ptschandl/tensorboard_events_to_csv.py
Extract all tensorboard events files to pandas dataframe
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| import tensorflow as tf | |
| from pathlib import Path | |
| import pandas as pd | |
| from tqdm import tqdm | |
| from collections import defaultdict | |
| # Get all event* runs from logging_dir subdirectories | |
| logging_dir = Path('.', 'logs') | |
| event_paths = logging_dir.glob('**/event*') |
brunodoamaral
/ _dice.py
Last active
March 16, 2024 18:00
— forked from JDWarner/_dice.py
Dice coefficient between two boolean NumPy arrays or array-like data. This is commonly used as a set similarity measurement (though note it is not a true metric; it does not satisfy the triangle inequality). The dimensionality of the input is completely arbitrary, but `im1.shape` and `im2.shape` much be equal. This Gist is licensed under the mod…
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| def dice(im1, im2, empty_score=1.0): | |
| """ | |
| Computes the Dice coefficient, a measure of set similarity. | |
| Parameters | |
| ---------- | |
| im1 : array-like, bool | |
| Any array of arbitrary size. If not boolean, will be converted. | |
| im2 : array-like, bool | |
| Any other array of identical size. If not boolean, will be converted. | |
| Returns |