Clement Vachet
Update README file
944d261
|
raw
history blame
1.14 kB
metadata
title: Object Detection
emoji: 🖼
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.5.0
app_file: app.py
pinned: false
short_description: Object detection via Gradio

Object detection

Aim: AI-driven object detection (on COCO image dataset)

Direct object detection via python scripts

1. Use of torch library

python detect_torch.py

2. Use of transformers library

python detect_transformers.py

3. Use of HuggingFace pipeline library

python detect_pipeline.py

Object detection via User Interface

Use of Gradio library for web interface

Command line:

python app.py

Note: The Gradio app should now be accessible at http://localhost:7860

Object detection via Gradio client API

Note: Use of existing Gradio server (running locally, in a Docker container, or in the cloud as a HuggingFace space or AWS)

1. Creation of docker container

Command lines:

sudo docker build -t gradio-app .

sudo docker run -p 7860:7860 gradio-app

The Gradio app should now be accessible at http://localhost:7860

2. Direct inference via API

Command line:

python inference_API.py