Google Summer of Code 2023
Project: Anomaly Segmentation Metrics for anomalib
Organization: OpenVINO (https://github.com/openvinotoolkit/openvino)
Mentors: @samet-akcay, @djdameln
jpcbertoldo
/ gist:b766da23f45a4117b428940764c50de3
Created
February 8, 2024 17:56
tmp-spro-scratch.py
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| # %% | |
| # Scratch of spro on a batch of images | |
| import torch | |
| # ---- Dummy data ---- | |
| # a batch of predictions for two images | |
| # shape: (2, 1, 256, 256) | |
| predictions = torch.rand(2, 1, 256, 256) |
jpcbertoldo
/ 2023-12-sample-button.ipynb
Last active
December 13, 2023 15:10
jpcbertoldo
/ .gitignore
Last active
September 10, 2023 19:09
2023-08 Anomaly Segmentation Metrics for Anomalib — GSoC 2023 @ OpenVINO — DEMO
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| lightning_logs/ | |
| .cache |
jpcbertoldo
/ gsoc23.md
Last active
June 7, 2024 08:16
Anomaly Segmentation Metrics for Anomalib — GSoC 2023 @ OpenVINO
jpcbertoldo
/ np_round_significant_digits.py
Created
June 7, 2023 15:23
A function to round up an array of values based on the number of significant digits (useful for sequences spanning over many scales)
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| """ | |
| Source of the idea: https://stackoverflow.com/a/58491045/9582881 | |
| """ | |
| import numpy as np | |
| def round_significant_digits(x, dtype=np.float64, precision=4): | |
| string = np.format_float_positional(x, unique=False, fractional=False, trim='k', precision=precision) | |
| return dtype(string) |
jpcbertoldo
/ how_many_wilcoxon_statistics_values_are_there.ipynb
Last active
January 13, 2023 16:03
how many wilcoxon statistics values are there?
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jpcbertoldo
/ wilcoxon-demsar-zsplit-policy-test-analysis.ipynb
Last active
January 4, 2023 13:33
See this issue #17530 in scipy: https://github.com/scipy/scipy/issues/17530
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jpcbertoldo
/ 2023-11-matrix-multiplication.ipynb
Last active
December 13, 2023 15:05
2023-11-matrix-multiplication.ipynb
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