Object Detection
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@@ -250,30 +250,9 @@ If there are any camera connected to your computer, you can set the `source` as
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  python tools/demo --source 0
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  ```
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- #### Demonstration
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- <table>
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- <tr>
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- <th>input</th>
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- <th>output</th>
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- </tr>
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- <tr>
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- <td><img src=https://github.com/hustvl/YOLOP/blob/main/pictures/input1.gif/></td>
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- <td><img src=https://github.com/hustvl/YOLOP/blob/main/pictures/output1.gif/></td>
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- </tr>
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- <tr>
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- <td><img src=https://github.com/hustvl/YOLOP/blob/main/pictures/input2.gif/></td>
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- <td><img src=https://github.com/hustvl/YOLOP/blob/main/pictures/output2.gif/></td>
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- </tr>
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- </table>
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  ### Deployment
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- Our model can reason in real-time on `Jetson Tx2`, with `Zed Camera` to capture image. We use `TensorRT` tool for speeding up. We provide code for deployment and reasoning of model in `./tools/deploy`.
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  python tools/demo --source 0
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  ```
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  ### Deployment
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+ Our model can reason in real-time on `Jetson Tx2`, with `Zed Camera` to capture image. We use `TensorRT` tool for speeding up. We provide code for deployment and reasoning of model in `./toolkits/deploy`.
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