Yolo + sahi toolkit
Project description
yolodetection
yolodetection is a lightweight wrapper around Ultralytics YOLO + SAHI sliced inference.
Main goals:
- Simple interface
- Handles large images using SAHI slicing
- Exports clean, JSON-ready detections (with centroids)
- Optional saving of prediction JSON + visualization masks to disk
🔧 Installation
pip install yolodetection
Usage
from yolodetect import YoloInstance
options = {
"save_json": True,
"json_output_path": str(Path.cwd() / "exports"),
"save_masks": True,
"mask_output_path": str(Path.cwd() / "outputs"),
}
instance = SahiModelInstance("models/best.pt")
instance.predict("path/to/images", options)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
yolodetection-1.0.10.tar.gz
(2.9 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
File details
Details for the file yolodetection-1.0.10.tar.gz.
File metadata
- Download URL: yolodetection-1.0.10.tar.gz
- Upload date:
- Size: 2.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
50c8883305c0799cfe6298d3039b162698a66cb0c73f17fad3cfb8eaf8a37b45
|
|
| MD5 |
25d58b0dc477294f7d1269ab2c95d312
|
|
| BLAKE2b-256 |
a629230c6d6aa53f3dec58e5216eef09293ea9efe6e6f255179b72ed7c57469d
|
File details
Details for the file yolodetection-1.0.10-py3-none-any.whl.
File metadata
- Download URL: yolodetection-1.0.10-py3-none-any.whl
- Upload date:
- Size: 3.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f3a49e223748c607cda3e6e5bc7066ee2974643d8006214453263b977643be3
|
|
| MD5 |
504fbeac9edd64dbf90444eb53315490
|
|
| BLAKE2b-256 |
2def1bba316536ca7ed55c038c007015d2ba3c006203937da6273c6e794e0d4f
|