high-resolution anomaly detection
Project description
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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hiad-0.2.1.tar.gz
(467.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
hiad-0.2.1-py3-none-any.whl
(684.6 kB
view details)
File details
Details for the file hiad-0.2.1.tar.gz.
File metadata
- Download URL: hiad-0.2.1.tar.gz
- Upload date:
- Size: 467.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3fa0d69efd4ca4144029962dbd3992f8b942e44736f7746af8e88068c6ae7a77
|
|
| MD5 |
7bbb79b07492e9c792848555225baf59
|
|
| BLAKE2b-256 |
fc5dbce275ed19120dd811bb01cd84ab198d3116ee37176c4da21b889fa8c2ce
|
File details
Details for the file hiad-0.2.1-py3-none-any.whl.
File metadata
- Download URL: hiad-0.2.1-py3-none-any.whl
- Upload date:
- Size: 684.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6cc754354541eb2ff598adc3a1c8d00ba934c25b713ecafb03ad34e575ead413
|
|
| MD5 |
cae85811aae44a3c0265f7a1d3d16f8d
|
|
| BLAKE2b-256 |
42e3fc218dc75a732ce9a4c0c248d37222329c0d76268fc166c6c21efa36ef05
|
