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# Yolov4 ttnn Demo | ||
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## Inputs required: | ||
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- A demo input image 320x320. | ||
- coco.names which has class names. | ||
- current branch - `ankit/ttnn_yolov4_demo`. | ||
- Input image and class names file available under `tests/ttnn/integration_tests/yolov4/` | ||
- Pretrained weights are loaded from weka path. | ||
- If weka path is not available weights can be downloaded from [here](https://drive.google.com/file/d/1wv_LiFeCRYwtpkqREPeI13-gPELBDwuJ/view) and place it to `tests/ttnn/integration_tests/yolov4/yolov4.pth`. | ||
## To run the demo: | ||
1. Checkout to branch `ankit/ttnn_yolov4_demo`. | ||
2. Run `pytest models/experimental/functional_yolov4/demo/demo.py`. | ||
3. Prediction image will be generated at TT_METAL_HOME (current) directory. |
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