ibaiGorordo/ONNX-YOLOv7-Object-Detection
Python scripts performing object detection using the YOLOv7 model in ONNX.
Automatically identify and locate objects within images or video streams. You provide an image file, a video, or a live webcam feed, and it outputs the same visual content with bounding boxes and labels around detected objects. This is ideal for vision system developers, researchers, or engineers working with real-time visual analysis.
207 stars. No commits in the last 6 months.
Use this if you need to integrate a high-performance, real-time object detection capability into an application or research project using Python, especially if you need to leverage NVIDIA GPUs for speed.
Not ideal if you're looking for a no-code solution or a web-based service for object detection.
Stars
207
Forks
58
Language
Python
License
MIT
Category
Last pushed
Feb 17, 2023
Commits (30d)
0
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