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| title: Trds Preinterview Task | |
| emoji: 🏃 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.14.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: A Road Transport Object Detection | |
| ## Road Transport Object Detection (live: [Huggingface Live Inference](https://huggingface.co/spaces/AmitPress/trds_preinterview_task)) | |
| This application is a demo to use the resnet50 pretrained model for road traffic objects detection. | |
| #### How to Run The Application Locally | |
| - Make sure you have `python` and `pip` installed | |
| - Run `pip install -r requirements.txt` to install the necessary dependencies | |
| - Make sure the `hugging_face` variable is set to `False` while running locally | |
| - Run `python app.py` | |
| - Open `http://127.0.0.1:7860/` in browser | |
| * You can use the `test1.jpg` for a quick inference. | |