Single Scene Video Anomaly Detection Metrics
Project description
Single-Scene Video Anomaly Detection Metrics
This project contains evaluation protocol (metrics) for benchmarking single-scene video anomaly detection.
Evaluation Protocol
This is an unofficial implementation of Sec. 2.2 of A Survey of Single-Scene Video Anomaly Detection.
References
- B. Ramachandra, M. Jones and R. R. Vatsavai, "A Survey of Single-Scene Video Anomaly Detection," in IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2020.3040591.
Copyright
Copyright PT Qlue Performa Indonesia 2021 All Rights Reserved
Contributing
Feel free to contribute for improvements.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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
File details
Details for the file py-ssvad_metrics-0.1.4.tar.gz.
File metadata
- Download URL: py-ssvad_metrics-0.1.4.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4d4e3fa842ef678901bacd1511adbb6b0334f3a07eadfb48bce2c44ebe516d68
|
|
| MD5 |
29adf335c6960d43d40655bc80e11992
|
|
| BLAKE2b-256 |
431414097df402c522a7efc41d486e18962b2cad7719432cb97de9fa6004dea5
|
File details
Details for the file py_ssvad_metrics-0.1.4-py3-none-any.whl.
File metadata
- Download URL: py_ssvad_metrics-0.1.4-py3-none-any.whl
- Upload date:
- Size: 21.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ec1b0240cef9780e662a9923cee1a25d60aa494ef09d949c984020b95ca9e64f
|
|
| MD5 |
92da13de378c9acab60b0c7dba72cfd4
|
|
| BLAKE2b-256 |
dbd3aad806d6cacaadbe67f97eadb55d83a807a112f9b0b5ad773dd2754257b0
|
