Python/computer_vision
Christian Clauss b75a7c77f8
pre-commit autoupdate: pyupgrade v2.34.0 -> v2.37.0 (#6245)
* pre-commit autoupdate: pyupgrade v2.34.0 -> v2.37.0

* pre-commit run --all-files
2022-07-11 10:19:52 +02:00
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__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 The black formatter is no longer beta (#5960) 2022-01-30 20:29:54 +01:00
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).