Spaces:
Running
Running
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