HiAD: A General High-Resolution Industrial Image Anomaly Detection Framework (通用的高分辨率工业图像异常检测框架)
Project: cnulab/HiAD
v0.2.1: Add online inference support.
1 maintainer
Metadata
1 maintainer
Release files for hiad 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hiad-0.2.1.tar.gz | 467.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hiad-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / hiad-0.2.1.tar.gz
| Download URL | hiad-0.2.1.tar.gz |
|---|---|
| Size | 467.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.8.10
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Release files / hiad-0.2.1-py3-none-any.whl
| Download URL | hiad-0.2.1-py3-none-any.whl |
|---|---|
| Size | 684.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6cc754354541eb2ff598adc3a1c8d00ba934c25b713ecafb03ad34e575ead413
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BLAKE2b-256 checksum How to use checksums |
42e3fc218dc75a732ce9a4c0c248d37222329c0d76268fc166c6c21efa36ef05
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
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