Pre-release
This release is a pre-release and may not be stable for production use.
[CLIP ODS] CLIP Object Detection & Segmentation
This repo is about a simple add-on over CLIP by OpenAI for Unsupervised Object Detection (Zeroshot). You can search bounding boxes and some regions of objects using NATURAL LANGUAGE UNDERSTANDING - no classes, only text.
INSTALLING
pip install clip_ods
Minimal Examples
- ClipDetectionV0:
- ClipDetectionV1 (with simple segmentation):
V0:
Authors:
Supported by:
1 maintainer
Metadata
1 maintainer
Release files for clip-ods 0.0.1rc2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| clip_ods-0.0.1rc2.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| clip_ods-0.0.1rc2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 MB
Release files / clip_ods-0.0.1rc2.tar.gz
| Download URL | clip_ods-0.0.1rc2.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5
|
Release files / clip_ods-0.0.1rc2-py3-none-any.whl
| Download URL | clip_ods-0.0.1rc2-py3-none-any.whl |
|---|---|
| Size | 1.5 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5
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