Delete model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite
Browse files- model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/README.md +0 -40
- model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/models/aot_gan_w8a8.qnn231.ctx.bin +0 -3
- model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/python/input_image.png +0 -3
- model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/python/input_mask.png +0 -0
model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/README.md
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## Model Information
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### Source model
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- Input shape: [[1x3x512x512],[1x1x512x512]]
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- Number of parameters: 14.51M
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- Model size: 61.29M
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- Output shape: [1x3x512x512]
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Source model repository: [aot-gan](https://github.com/researchmm/AOT-GAN-for-Inpainting)
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### Converted model
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- Precision: INT8
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- Backend: QNN2.31
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- Target Device: FV01 QCS6490
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## Inference with AidLite SDK
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### SDK installation
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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/)
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- Install AidLite SDK
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```bash
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# Install the appropriate version of the aidlite sdk
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sudo aid-pkg update
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sudo aid-pkg install aidlite-sdk
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# Download the qnn version that matches the above backend. Eg Install QNN2.23 Aidlite: sudo aid-pkg install aidlite-qnn223
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sudo aid-pkg install aidlite-{QNN VERSION}
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```
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- Verify AidLite SDK
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```bash
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# aidlite sdk c++ check
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python3 -c "import aidlite ; print(aidlite.get_library_version())"
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# aidlite sdk python check
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python3 -c "import aidlite ; print(aidlite.get_py_library_version())"
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```
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model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/models/aot_gan_w8a8.qnn231.ctx.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:28ba612d0cfc29a3c4ec98b4d8a17d6f45bb22c11efe409e434948fb810f5e7b
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size 19758320
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model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/python/input_image.png
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model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/python/input_mask.png
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