Pre-release
This release is a pre-release and may not be stable for production use.
Scale-Invariant Feature Transform (SIFT)
Dense SIFT (DSIFT)
Integer k-means (IKM)
Hierarchical Integer k-means (HIKM)
Maximally Stable Extremal Regions (MSER)
Quick shift image segmentation
Dependencies:
Boost.Python (tested against version 1.35.0-5)
NumPy (tested against version 1.5.1)
Matplotlib (tested against version 0.99.3)
1 maintainer
Metadata
1 maintainer
Release files for pyvlfeat 0.1.1a3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyvlfeat-0.1.1a3.tar.gz | 159.9 kB | Details |
Release files / pyvlfeat-0.1.1a3.tar.gz
| Download URL | pyvlfeat-0.1.1a3.tar.gz |
|---|---|
| Size | 159.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1efb7a0031f1dbe6fa0c8829d7a535493cbd02eedb28685370a91ccddbc73349
|
|
BLAKE2b-256 checksum How to use checksums |
1a18eb54449becc0bf0f785aa5677559e585fba54495446de66d01b5d12f0dd8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
