Python/computer_vision
Caeden Perelli-Harris daa1c7529a
Raise error not string (#7945)
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* Update data_structures/binary_tree/segment_tree_other.py

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* Update data_structures/binary_tree/segment_tree_other.py

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* random.choice(population_score[:N_SELECTED])[0]

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2022-11-06 15:54:44 +01:00
..
__init__.py Add __init__.py files in all the directories (#2503) 2020-09-28 19:42:36 +02:00
cnn_classification.py Update documentation of cnn_classification.py (#7486) 2022-10-25 22:43:45 +01:00
flip_augmentation.py Remove useless code in doctests (#7733) 2022-10-27 22:52:00 +02:00
harris_corner.py Raise error not string (#7945) 2022-11-06 15:54:44 +01:00
horn_schunck.py Update convolve function namespace (#7390) 2022-10-18 08:09:41 +02:00
mean_threshold.py Rename harriscorner.py to harris_corner.py (#4470) 2021-05-31 21:19:09 +05:30
mosaic_augmentation.py Remove useless code in doctests (#7733) 2022-10-27 22:52:00 +02:00
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).