AI/RKNN - Revision history

Setq at 02:26, 16 March 2020

2020-03-16T02:26:40Z

Setq: /* Android Platform */

2019-12-03T09:25:17Z

‎Android Platform

Hipboi at 08:29, 3 December 2019

2019-12-03T08:29:16Z

Setq: Setq moved page AI/RKNN/ to AI/RKNN: Delete the excess slash at the end

2019-11-27T01:45:41Z

Setq moved page AI/RKNN/ to AI/RKNN: Delete the excess slash at the end

Setq: Created page with "=== Introduction === To help developers access the NPU easily, Rockchip developed '''RKNN''', which provides '''C API''' and '''Python API'''. === C API === Rockchip provi..."

2019-11-26T10:23:05Z

Created page with "=== Introduction === To help developers access the NPU easily, Rockchip developed '''RKNN''', which provides '''C API''' and '''Python API'''. === C API === Rockchip provi..."

New page

=== Introduction ===

To help developers access the NPU easily, Rockchip developed '''RKNN''', which provides '''C API''' and '''Python API'''.

=== C API ===

Rockchip provides a set of RKNN API SDKs, an acceleration solution based on the RK3399Pro Linux/Android neural network NPU hardware, which provides general acceleration support for AI-related applications developed with the RKNN API.

==== Linux Platform ====

Need to install the rknn-api development kit first:

sudo dnf install –y rknn-api

If the installation fails, go to the OneDrive to download: [https://rockchips-my.sharepoint.com/:f:/g/personal/addy_ke_rockchips_onmicrosoft_com/Ej320taOKIVGkcT9tT2DoM4BUHab5Hr2_tf1u-NgmQzXRw?e=V7gKvy rknn_api_sdk]

After the installation is successful, you can find the RKNN header file rknn_api.h and the library file librknn_api.so in the system directory. The application only needs to include the header file and link the dynamic library to develop related AI applications.

include the header file：

#include <rockchip/rknn_api.h>

link the dynamic library：

LDFLAGS = -lrknn_api

==== Android Platform ====

Go to the '''Android/RKNPUTools/rknn-api/Android/rknn_api''' directory. The RKNN API is defined in the header file of include/rknn_api.h. The dynamic library paths for the RKNN API are lib64/librknn_api.so and lib/librknn_api.so. The application only needs to include the header file and link the dynamic library to devel the JNI library of the relevant AI application. Currently, only JNI development methods are supported on Android.

For more introductions to the RKNN API SDK related API, please refer to the document "'''RK3399Pro_Linux&Android_RKNN_API_V*.pdf'''".

=== Python API ===

Python development only needs to call the API in the RKNN-Toolkit package to complete Python application development.

RKNN-Toolkit provides for users the development kit of model conversion, inference and performance evaluation based on PC, RK3399Pro, RK1808 hardware. Users can easily implement below features with the provided Python interface:

* Model conversion
* Quantization function
* Model inference
* Performance evaluation
* Memory evaluation
* Model pre-compilation
* Model segmentation
* Custom OP

For more introductions to the RKNN-Toolkit related API, please refer to the wiki page [[AI/RKNN-Toolkit]].

@@ Line 36: / Line 36: @@
 Go to the '''rknn-api/Android/rknn_api''' directory. The RKNN API is defined in the header file of include/rknn_api.h. The dynamic library paths for the RKNN API are lib64/librknn_api.so and lib/librknn_api.so. The application only needs to include the header file and link the dynamic library to devel the JNI library of the relevant AI application. Currently, only JNI development methods are supported on Android.
-For more introductions to the RKNN API SDK related API, please refer to the document  [https://dl.radxa.com/rockpin10/docs/sw/Rockchip_User_Guide_RKNN_API_V1.2.0_EN.pdf Rockchip_User_Guide_RKNN_API_V*.pdf]
+For more introductions to the RKNN API SDK related API, please refer to the document  [https://dl.radxa.com/rockpin10/docs/sw/rknn-api/Rockchip_User_Guide_RKNN_API_V1.3.0_EN.pdf Rockchip_User_Guide_RKNN_API_V*.pdf]
 ===  Python API ===

← Older revision		Revision as of 08:29, 3 December 2019
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		+	{{Languages\|AI/RKNN}}
		+
		+	__NOTOC__
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		+	[[Home \| Home]] > [[AI \| AI Development]] > [[AI/RKNN \| RKNN API]]
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		+
	=== Introduction ===		=== Introduction ===

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 ==== Android Platform ====
-Go to the '''Android/RKNPUTools/rknn-api/Android/rknn_api''' directory. The RKNN API is defined in the header file of include/rknn_api.h. The dynamic library paths for the RKNN API are lib64/librknn_api.so and lib/librknn_api.so. The application only needs to include the header file and link the dynamic library to devel the JNI library of the relevant AI application. Currently, only JNI development methods are supported on Android.
+Go to the '''rknn-api/Android/rknn_api''' directory. The RKNN API is defined in the header file of include/rknn_api.h. The dynamic library paths for the RKNN API are lib64/librknn_api.so and lib/librknn_api.so. The application only needs to include the header file and link the dynamic library to devel the JNI library of the relevant AI application. Currently, only JNI development methods are supported on Android.
-For more introductions to the RKNN API SDK related API, please refer to the document  "'''RK3399Pro_Linux&Android_RKNN_API_V*.pdf'''".
+For more introductions to the RKNN API SDK related API, please refer to the document  [https://dl.radxa.com/rockpin10/docs/sw/Rockchip_User_Guide_RKNN_API_V1.2.0_EN.pdf Rockchip_User_Guide_RKNN_API_V*.pdf]
 ===  Python API ===

← Older revision	Revision as of 01:45, 27 November 2019
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