Python/computer_vision
Caeden 07e991d553
Add pep8-naming to pre-commit hooks and fixes incorrect naming conventions (#7062)
* ci(pre-commit): Add pep8-naming to `pre-commit` hooks (#7038)

* refactor: Fix naming conventions (#7038)

* Update arithmetic_analysis/lu_decomposition.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* refactor(lu_decomposition): Replace `NDArray` with `ArrayLike` (#7038)

* chore: Fix naming conventions in doctests (#7038)

* fix: Temporarily disable project euler problem 104 (#7069)

* chore: Fix naming conventions in doctests (#7038)

Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2022-10-13 00:54:20 +02:00
..
__init__.py Add __init__.py files in all the directories (#2503) 2020-09-28 19:42:36 +02:00
cnn_classification.py feat: CNN classification added to computer vision (#4350) 2021-06-24 11:58:23 +05:30
flip_augmentation.py ADD the algorithms of image augmentation (#5792) 2021-11-08 06:35:40 +01:00
harris_corner.py Add pep8-naming to pre-commit hooks and fixes incorrect naming conventions (#7062) 2022-10-13 00:54:20 +02:00
horn_schunck.py pre-commit autoupdate: pyupgrade v2.34.0 -> v2.37.0 (#6245) 2022-07-11 10:19:52 +02:00
mean_threshold.py Rename harriscorner.py to harris_corner.py (#4470) 2021-05-31 21:19:09 +05:30
mosaic_augmentation.py ADD the algorithms of image augmentation (#5792) 2021-11-08 06:35:40 +01:00
pooling_functions.py Adding Pooling Algorithms (#5826) 2021-11-16 23:58:47 +01:00
README.md Add README files 2/8 (#5766) 2021-11-11 21:39:54 +08:00

Computer Vision

Computer vision is a field of computer science that works on enabling computers to see, identify and process images in the same way that human does, and provide appropriate output.

It is like imparting human intelligence and instincts to a computer. Image processing and computer vision are a little different from each other. Image processing means applying some algorithms for transforming image from one form to the other like smoothing, contrasting, stretching, etc.

While computer vision comes from modelling image processing using the techniques of machine learning, computer vision applies machine learning to recognize patterns for interpretation of images (much like the process of visual reasoning of human vision).