Delete model_farm_yolov10x_qcs8550_qnn2.31_int8_aidlite

model_farm_yolov10x_qcs8550_qnn2.31_int8_aidlite/README.md

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-## Model Information
-
-### Source model
-- Input shape: [1,3,640,640]
-- Number of parameters: 30.34M
-- Model size: 112.73M
-- Output shape: [1,300,6]
-
-Source model repository: [YOLOV10-x](https://github.com/THU-MIG/yolov10)
-
-### Converted model
-
-- Precision: INT8
-- Backend: QNN2.31
-- Target Device: SNM972 QCS8550
-
-## Model Conversion Reference
-User can find model conversion reference at [aimo.aidlux.com](https://aimo.aidlux.com/#/public/7f3bee49-98bb-4d48-8635-3ed4c9c2bfc5)
-
-## 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://v2.docs.aidlux.com/en/sdk-api/aidlite-sdk/)
-
-- 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())"
-```

model_farm_yolov10x_qcs8550_qnn2.31_int8_aidlite/models/cutoff_yolov10x_w8a8.qnn231.ctx.bin.aidem

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model_farm_yolov10x_qcs8550_qnn2.31_int8_aidlite/models/post_pro.onnx

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