List and details of Computer Vision algorithms
Project description
MoCV - Lists of Computer Vision algorithms.
MoCV ("Mo" is "Open" in Vietnamese) is created to provide tutorials of Computer Vision algorithms.
List of Computer Vision algorithms:
- Histogram - compute image histogram
- Histogram Equalization - equalize image histogram to enhance image contrast
- Linear Scale - lienarly scale image histogram
- Segmentation by Optimal Thresholding
- Will be updated soon
Tutorials for testing
- Install MoCV: pip3 install MoCV
- Image Contrast Enhancement: python3 test.py 1
- Segmentation: python3 test.py 2
- Shifting images: python3 test.py 3 -100 70
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
MoCV-0.1.0.tar.gz
(4.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
MoCV-0.1.0-py3-none-any.whl
(7.8 kB
view details)
File details
Details for the file MoCV-0.1.0.tar.gz.
File metadata
- Download URL: MoCV-0.1.0.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
99f41b7a5f922919cdc8dde31ee7c2bd257e3415ec94fa49b19923f4cd5fd71e
|
|
| MD5 |
1cfc362e4e9f3c45557d16feefd997d7
|
|
| BLAKE2b-256 |
7011c72e057056b01c0dea0f993a58716d64b7fbbb36d1aa8947aaa36f8ba159
|
File details
Details for the file MoCV-0.1.0-py3-none-any.whl.
File metadata
- Download URL: MoCV-0.1.0-py3-none-any.whl
- Upload date:
- Size: 7.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
152507ef477fc210bd24a8b1e8276e854ae5ccf9c468a75d7ca9e64f62128e26
|
|
| MD5 |
73ea204ef2245dab5fea56090855098e
|
|
| BLAKE2b-256 |
9e5b425b18e32f25a6e21bc7bd3e0dbd186ca0ef7a73c65fd9b0d4ca108c9fb6
|