sasi-cv
SASI: Seam-Aware Sliced Inference. GPU-native sliced inference for high-resolution object detection in pure PyTorch, with seam-aware box fusion.
This is a placeholder release that reserves the name. Install with pip install sasi-cv, then import sasi. The first real release is coming soon.
SASI is an independent project. It is compatible with and inspired by SAHI (Akyon et al., ICIP 2022), but is not affiliated with it.
Metadata
Release files for sasi-cv 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sasi_cv-0.0.1.tar.gz | 969 Bytes | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sasi_cv-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 kB
Release files / sasi_cv-0.0.1.tar.gz
| Download URL | sasi_cv-0.0.1.tar.gz |
|---|---|
| Size | 969 Bytes |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1fb18db952bff17a9b5b333480ea63092457c4f036e7e8e970f7968c9d37ff08
|
|
BLAKE2b-256 checksum How to use checksums |
b7b1628c1f90789baed66b23ab314cab871da5f19e901cefcb0f9001fced7220
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.2
|
Release files / sasi_cv-0.0.1-py3-none-any.whl
| Download URL | sasi_cv-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4e25be4747992efeb099a3518f7409f833c127f01aa29b756eddd6368b189327
|
|
BLAKE2b-256 checksum How to use checksums |
7529e0400926d45e2cd66ee7b3310a6770dd06539bab03f48e7c753af14e94dd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.2
|
Security for sasi-cv 0.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.