Image Semantics
Image understanding is widely used in many areas like satellite imaging, robotic technologies, sensory networks, medical and biomedical imaging, intelligent transportation systems, etc. Recently semantic analysis has become an active research topic aimed at resolving the gap between low level image features and high level semantics which is a promoting approach in image understanding.
With many image annotation semantics existing in the field of computer vision, it can become daunting to manage. This package provides the ability to convert and visualize many different types of annotation formats for object dectection and localization.
Currently Support Formats:
- COCO Format
- Binary Masks
- YOLO
- VOC
If you enjoy my work please consider supporting me
Installing
pip install imantics
1 maintainer
Release files for imantics 0.1.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imantics-0.1.12.tar.gz | 13.6 kB | Details |
Release files / imantics-0.1.12.tar.gz
| Download URL | imantics-0.1.12.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2f806b158821a58a5b35014aecca4f7f853445bc304f847cef04dd0d8e05bd90
|
|
BLAKE2b-256 checksum How to use checksums |
1aff8f92fa03b42f14860bc882d08187b359d3b8f9ef670d4efbed090d451c58
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.6.7
|
