easi-cv
EASI: Edge-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 easi-cv, then import easi. 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
Metadata
1 maintainer
Release files for easi-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 | |
|---|---|---|---|
| easi_cv-0.0.1.tar.gz | 957 Bytes | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| easi_cv-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 kB
Release files / easi_cv-0.0.1.tar.gz
| Download URL | easi_cv-0.0.1.tar.gz |
|---|---|
| Size | 957 Bytes |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ce80bbbb6c49139eb4e9f2c542d148113186ba766d537eb86ef010f71f26bc42
|
|
BLAKE2b-256 checksum How to use checksums |
db36597790716221bc04fba34f2597b1b81bfedda089fd7553ebe48faa490df7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.2
|
Release files / easi_cv-0.0.1-py3-none-any.whl
| Download URL | easi_cv-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6aa169a31dcf9f0c93b00aa72c6bfdec7e33b575903d08d21422b3e723d5d6ff
|
|
BLAKE2b-256 checksum How to use checksums |
ce3d141a60b493c8ed2e01c8d04911c9114786d3c4ee1bef8f34778b6f6a402e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.2
|
