Run image processing algos on your GPU
Project description
# gpucv
Have you used OpenCV on your CPU, and wanted to run it on GPU. Did you try installing OpenCV and get frustrated with its installation. Fret not gpucv is here to save the day. Simple installation and runs as good as OpenCV on GPU.
You need to still install all the Nvidia drivers if you don’t have them.
### Requirements - Python 3.7 - CUDA
### Installation
1. Using pip ` pip3 install gpucv `
2. Building the project Clone the project to your local repo and run setup.py. ` git clone git@github.com:shrikumaran/gpucv.git python3 setup.py bdist_wheel `
### Example `python import gpucv img = gpucv.readimg('index.jpeg') sobel = gpucv.sobel(img) ` Colab noteobook: https://colab.research.google.com/drive/1o0LD56Qo88lZZtfVqshZL-rvCZUJ19ex?usp=sharing
### TODO - Basic IP stuff (grayscale,resize,threshold) - Implement filters (mean,gaussian and sobel) - Convolution kernels
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for gpucv-0.0.4.3-cp37-cp37m-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a44afed75bc50dacb8d615b3c1cd1276c6efd3c2faddd1f3904564cdb98eec07 |
|
| MD5 | 7e3305617ecdc42003cb787e93703cec |
|
| BLAKE2b-256 | 1e75c11675dffe42866f05cd7d107b0150be176f62b3fdce9a3b928b196f4c2a |
