[pre-commit.ci] pre-commit autoupdate (#9543)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.0.291 → v0.0.292](https://github.com/astral-sh/ruff-pre-commit/compare/v0.0.291...v0.0.292)
- [github.com/codespell-project/codespell: v2.2.5 → v2.2.6](https://github.com/codespell-project/codespell/compare/v2.2.5...v2.2.6)
- [github.com/tox-dev/pyproject-fmt: 1.1.0 → 1.2.0](https://github.com/tox-dev/pyproject-fmt/compare/1.1.0...1.2.0)

* updating DIRECTORY.md

* Fix typos in test_min_spanning_tree_prim.py

* Fix typos

* codespell --ignore-words-list=manuel

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
This commit is contained in:
pre-commit-ci[bot]
2023-10-07 21:32:28 +02:00
committed by GitHub
parent 60291738d2
commit 895dffb412
19 changed files with 98 additions and 119 deletions

View File

@ -11,10 +11,10 @@ Download dataset from :
https://lhncbc.nlm.nih.gov/LHC-publications/pubs/TuberculosisChestXrayImageDataSets.html
1. Download the dataset folder and create two folder training set and test set
in the parent dataste folder
in the parent dataset folder
2. Move 30-40 image from both TB positive and TB Negative folder
in the test set folder
3. The labels of the iamges will be extracted from the folder name
3. The labels of the images will be extracted from the folder name
the image is present in.
"""

View File

@ -8,7 +8,7 @@ from string import ascii_lowercase, digits
import cv2
import numpy as np
# Parrameters
# Parameters
OUTPUT_SIZE = (720, 1280) # Height, Width
SCALE_RANGE = (0.4, 0.6) # if height or width lower than this scale, drop it.
FILTER_TINY_SCALE = 1 / 100