Spaces:
Running
Running
File size: 1,142 Bytes
944d261 9b658e7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
---
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
<b>Note:</b> The Gradio app should now be accessible at http://localhost:7860
## Object detection via Gradio client API
<b>Note:</b> 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
|