## Model Information
### Source model
- Input shape: 1x3x640x640
- Number of parameters: 2.47M
- Model size: 9.39M
- Output shape: 1x300x6

Source model repository: [yolo26n](https://docs.ultralytics.com/models/yolo26/)
## Inference with AidLite SDK

### SDK installation
Model Farm uses AidLite SDK as the model inference SDK. For details, please refer to the [AidLite Developer Documentation](https://docs.aidlux.com/software/ai-sdk/aidlite_guide)

- install AidLite SDK

```bash
# Install the appropriate version of the aidlite sdk
sudo aid-pkg update
sudo aid-pkg install aidlite-sdk
# Download the qnn version that matches the above backend. Eg Install QNN2.23 Aidlite: sudo aid-pkg install aidlite-qnn223
sudo aid-pkg install aidlite-{QNN VERSION}
```

- Verify AidLite SDK

```bash
# aidlite sdk c++ check
python3 -c "import aidlite ; print(aidlite.get_library_version())"

# aidlite sdk python check
python3 -c "import aidlite ; print(aidlite.get_py_library_version())"
```

### Run Demo

#### python
```bash
# pip install ultralytics==8.4.2

cd model_farm_yolo26n_qcs6490_qnn2.36_int8_aidlite
python3  python/run_test.py --target_model [model_file_path] --imgs ./python/bus.jpg  --invoke_nums 10
```