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-1.0.6.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-1.0.6.tar.gz.
File metadata
- Download URL: yolodetection-1.0.6.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 |
da7d55aefed2525dd764b8d851525017dcb630decda68bb9e27fea9efc21fd7b
|
|
| MD5 |
a00629d9e33fab44f1f8d0f591033268
|
|
| BLAKE2b-256 |
da8d4bd9f252bf941ef64f21fec615806b7f5fcd20ce2d7a015b5cfa861487cc
|
File details
Details for the file yolodetection-1.0.6-py3-none-any.whl.
File metadata
- Download URL: yolodetection-1.0.6-py3-none-any.whl
- Upload date:
- Size: 3.7 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 |
17cbb67ee036509092c8723d387da108510490d6ee4b9509a1d2d99d27b6801d
|
|
| MD5 |
5e86f1b06b7b4d5022af281bace69fbb
|
|
| BLAKE2b-256 |
09cc0f52836fbbedd660828c1a8de669e29c4a89c8ad2ab8556c312c81560ae4
|