serge
SERGE: Seam-Edge Reconciled Grid Ensembling. 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 serge, then import serge. The first real release is coming soon.
This is an independent project. It is compatible with and inspired by SAHI (Akyon et al., ICIP 2022), but is not affiliated with it.
1 maintainer
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1 maintainer
Release files for serge 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 | |
|---|---|---|---|
| serge-0.0.1.tar.gz | 964 Bytes | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| serge-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 kB
Release files / serge-0.0.1.tar.gz
| Download URL | serge-0.0.1.tar.gz |
|---|---|
| Size | 964 Bytes |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.12.2
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Release files / serge-0.0.1-py3-none-any.whl
| Download URL | serge-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.12.2
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