⚡️ Object Detection with YoloV5 🔬

This app is a research poster demo of YoloV5 Object Detection model by Ultralytics. It showcases a notebook, a blog, and a model demo where you can upload photos to get a bounding box visualized output image.

To create a research poster for your work please use Lightning Research Template app.

Getting started

To create a Research Poster you can install this app via the Lightning CLI or use the template from GitHub and manually install the app as mentioned below.

Installation

With Lightning CLI

lightning install app lightning/object-detector

Example

# update app.py at the root of the repo
import lightning as L

app = L.LightningApp(
    ResearchApp(
        poster_dir="resources",
        paper="https://arxiv.org/pdf/2103.00020.pdf",
        blog="https://openai.com/blog/clip/",
        training_log_url="https://wandb.ai/aniketmaurya/herbarium-2022/runs/2dvwrme5",
        github="https://github.com/mlfoundations/open_clip",
        notebook_path="resources/Interacting_with_CLIP.ipynb",
        launch_jupyter_lab=False,
        launch_gradio=True,
        tab_order=[
            "Poster",
            "Blog",
            "Paper",
            "Notebook",
            "Training Logs",
            "Model Demo",
        ],
    )
)

FAQs

1. How to pull from the latest template code? Answer