Videl
Videl (VIsion and DEep Learning is a library in python utilizing the pytorch framework.) specialized in providing small models for computer vision tasks such as classification, detection, segmentation, and counting that can be used in aerial visual perception.
Developed by Dr. Christos Kyrkou, this library provides:
- Ultra-lightweight architectures for Edge AI.
- Pre-trained models for Aerial and Emergency perception.
- Tools for robustness training.
Installation
pip install videl
Metadata
Release files for videl 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| videl-0.0.2.tar.gz | 16.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| videl-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.8 kB
Release files / videl-0.0.2.tar.gz
| Download URL | videl-0.0.2.tar.gz |
|---|---|
| Size | 16.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.9.13
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Release files / videl-0.0.2-py3-none-any.whl
| Download URL | videl-0.0.2-py3-none-any.whl |
|---|---|
| Size | 15.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.13
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