Metadata-Version: 2.2
Name: yolo_inference
Version: 2.0.2
Summary: A YOLO-based inference library for object detection, providing easy-to-use APIs for loading models and performing inference on images.
Author: Shubham Nayak
Author-email: sn85076@outlook.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/plain
Requires-Dist: torch
Requires-Dist: numpy
Requires-Dist: opencv-python
Requires-Dist: Pillow
Requires-Dist: requests
Requires-Dist: tqdm
Requires-Dist: ipython
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
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        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)
    
