48 lines
3.8 KiB
Markdown
48 lines
3.8 KiB
Markdown
# Introduction
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RKNN-Toolkit is a software development kit that provides users with model conversion, inference and performance evaluation on PC and Rockchip NPU platforms(RK1808/RK1806/RK3399Pro/RV1109/RV1126).
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RKNN-Toolkit-Lite provides Python programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications.
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Note:
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- For the deployment of the RKNN model, please refer to:
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- RK1808/RK1806/RV1109/RV1126: https://github.com/rockchip-linux/rknpu
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- RK3399Pro: https://github.com/airockchip/RK3399Pro_npu
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- For RK3566/RK3568/RK3588/RK3588S/RV1103/RV1106, please refer to:
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- https://github.com/rockchip-linux/rknn-toolkit2
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- https://github.com/rockchip-linux/rknpu2
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# Download
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From version 1.3.0, some wheel packages are larger than 100MB, can not be uploaded directly. So, you need to go to the releases page to download.
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You can download from releases page: https://github.com/rockchip-linux/rknn-toolkit/releases
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- All wheel packages are in compressed file: [rknn-toolkit-v1.7.3-packages.tar.gz](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.7.3/rknn-toolkit-v1.7.3-packages.tar.gz "rknn-toolkit-v1.7.3-packages.tar.gz") or [rknn-toolkit-v1.7.3-packages.zip](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.7.3/rknn-toolkit-v1.7.3-packages.zip "rknn-toolkit-v1.7.3-packages.zip ")
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- All examples, docs and platform-tools are in compressed file: [Source code(zip)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.7.3.zip "Source code(zip)") or [Source code(tar.gz)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.7.3.tar.gz "Source code(tar.gz)")
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- You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: [rknn-toolkit](https://eyun.baidu.com/s/3bqgIr0N "RKNN-Toolkit"), fetch code: rknn
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- You can download RKNN Toolkit Lite packages and examples from [rknn-toolkit-lite](rknn-toolkit-lite)
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# Checksums
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## MD5
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```
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7d672e911c26af34112bbfcfed86aef7 rknn_toolkit-1.7.3-cp35-cp35m-linux_aarch64.whl
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e751a1c2782879dedbe3904448e07105 rknn_toolkit-1.7.3-cp36-cp36m-linux_x86_64.whl
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20db420731b4976b15b0fbddef9984e3 rknn_toolkit-1.7.3-cp36-cp36m-macosx_10_15_x86_64.whl
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1ebba11b78766cd320a470bb397578cb rknn_toolkit-1.7.3-cp36-cp36m-win_amd64.whl
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0cdd9c288a748bcef84848fd5dc12d80 rknn_toolkit-1.7.3-cp37-cp37m-linux_aarch64.whl
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f06e1f88864c5a4759e4258cb536c38d rknn_toolkit-1.7.3-cp37-cp37m-macosx_10_15_x86_64.whl
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8e5c63a241b809b78ca65d226344d0eb rknn_toolkit-1.7.3-cp38-cp38-linux_x86_64.whl
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a24f157407e16bc255fc387404eb2030 rknn-toolkit-v1.7.3-packages.tar.gz
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8dbeeecb06b9201b9f464909ad8d9544 rknn-toolkit-v1.7.3-packages.zip
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4b50d8966908e80567843c3623e33d46 rknn_toolkit_lite-1.7.3-cp36-cp36m-linux_aarch64.whl
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dc669361506646104e823d569055b849 rknn_toolkit_lite-1.7.3-cp36-cp36m-linux_x86_64.whl
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15a26aad303769f8f2f38f5888529a57 rknn_toolkit_lite-1.7.3-cp36-cp36m-macosx_10_15_x86_64.whl
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cd490d13dc1e40e24ab76100a9b82ced rknn_toolkit_lite-1.7.3-cp36-cp36m-win_amd64.whl
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17f10789ec42fdc687c3c02ef6dc1141 rknn_toolkit_lite-1.7.3-cp37-cp37m-linux_aarch64.whl
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030a09ed522620aa6dfb4ccac578518b rknn_toolkit_lite-1.7.3-cp37-cp37m-linux_armv7l.whl
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079aaf9c2c39b2c2a6858688ed733973 rknn_toolkit_lite-1.7.3-cp37-cp37m-macosx_10_15_x86_64.whl
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b1b32a4e8803dd9303ab1a72ae8deccf rknn_toolkit_lite-1.7.3-cp38-cp38-linux_x86_64.whl
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```
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# Feedback and Community Support
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- QQ Group Chat: 1025468710 (full, please join group 2)
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- QQ Group Chat2: 547021958
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<center class="half">
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<img width="200" height="200" src="https://github.com/rockchip-linux/rknn-toolkit/blob/master/QQGroupQRCode.png" title="QQ Group Chat"/>
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<img width="200" height="200" src="https://github.com/rockchip-linux/rknn-toolkit/blob/master/QQGroup2QRCode.png" title="QQ Group Chat2"/>
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</center>
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