mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-23 21:11:08 +00:00
b2b8585e63
* add torch to requirements * add lenet architecture in pytorch * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add type hints * remove file * add type hints * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update variable name * add fail test * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add newline * reformatting --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
||
|---|---|---|
| .. | ||
| __init__.py | ||
| cnn_classification.py | ||
| flip_augmentation.py | ||
| harris_corner.py | ||
| horn_schunck.py | ||
| lenet_pytorch.py | ||
| mean_threshold.py | ||
| mosaic_augmentation.py | ||
| pooling_functions.py | ||
| README.md | ||
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).