A YOLO-based inference library for object detection, providing easy-to-use APIs for loading models and performing inference on images.
Project description
yolo_inference is a Python library designed for object detection tasks using YOLO models.
It simplifies the process of loading pre-trained YOLO models and running inference on images.
The library is lightweight and easy to integrate into existing projects.
Example Usage:
----------------
from yolo_inference.detect import ObjectDetection
# Initialize the model
model = ObjectDetection("path/to/yolo_model.pt")
# Perform inference on an image
result = model.inference("path/to/image.jpg")
# Process the result
print(result)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
yolo_inference-2.0.2.tar.gz
(141.2 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 yolo_inference-2.0.2.tar.gz.
File metadata
- Download URL: yolo_inference-2.0.2.tar.gz
- Upload date:
- Size: 141.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
24a1fbfaf8cdbc56ea91bb6e1155fc0be6690123a1736cf9dbcd200f4e3de993
|
|
| MD5 |
44e4490f4414f884060f85283e5fcbef
|
|
| BLAKE2b-256 |
ec5f319723f8a848968879d1228e1e0d4ad5a910ff1f91bc480fbd7a4b9b8aa3
|
File details
Details for the file yolo_inference-2.0.2-py3-none-any.whl.
File metadata
- Download URL: yolo_inference-2.0.2-py3-none-any.whl
- Upload date:
- Size: 159.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
84c833a70bb870f72dc0ee4dc63dbfb0d400b33a61e850b1e158a1eb324cd6c9
|
|
| MD5 |
8d84497bf833eddf68b74d7b654d7e0a
|
|
| BLAKE2b-256 |
560ab30345d66c845d3be42ff8b9d8c118f0678c2dc8023787fce4302979fb0f
|