CV-PyTorch
Installation
pip install cv-pytorch
or
conda install -c jmenjivar cv-pytorch
Use Cases
CV-PyTorch is a collection of tools to help facilitate computer vision operations.
Some of the tools in this library can be very useful to pre-process images before feeding to deep networks. However, the uses are not limited to pre-processing, you can perform a wide variety of operations that are helpful in many fields of work.
Why?
The re-implementation of these tools in PyTorch has the advantage of being significantly faster than other libraries using NumPy, etc.
Supported Operations
Corner Detection (Harris)
Pair Matching (SIFT)
Inlier Detection (RANSAC)
Pixel Matching
N Image Stitching
This is an example of 3 images stitched together:
Gaussian Smoothing
Sharpening
Orientation
Magnitude
Scaling (No Interpolation)
Scaling (Bilinear Interpolation)
Edge Detection (Canny)
Line Detection (Hough)
1 maintainer
Metadata
1 maintainer
Release files for cv-pytorch 0.0.8
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| cv-pytorch-0.0.8.tar.gz | 16.0 kB | Without provenance | Details for cv-pytorch-0.0.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cv_pytorch-0.0.8-py3-none-any.whl | Python 3 | none | any | Details for cv_pytorch-0.0.8-py3-none-any.whl |
Total release size: 36.8 kB
Release files / cv-pytorch-0.0.8.tar.gz
| Download URL | cv-pytorch-0.0.8.tar.gz |
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| Size | 16.0 kB |
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Release files / cv_pytorch-0.0.8-py3-none-any.whl
| Download URL | cv_pytorch-0.0.8-py3-none-any.whl |
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| Size | 20.8 kB |
| Tags | Python 3 |
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