TensorFlow Lite - Person Detection
Materials
AmebaD [AMB21 / AMB22 / AMB23 / BW16] x 1
Arducam Mini 2MP Plus OV2640 SPI Camera Module x 1
LED x 3
Example
Procedure
Download the Ameba customized version of TensorFlow Lite for Microcontrollers library at https://github.com/ambiot/tree/master/Arduino_zip_libraries.
Follow the instructions at https://docs.arduino.cc/software/ide-v1/tutorials/installing-libraries to install it.
Ensure that the patch files found at https://github.com/ambiot/tree/master/Ameba_misc/ are also installed.
You will also need to install the Ameba_ArduCAM library, found together with the TensorFlow Lite library.
In the Arduino IDE library manager, install the JPEGDecoder library. This example has been tested with version 1.8.0 of the JPEGDecoder library.
Once the library has installed, you will need to configure it to disable some optional components that are not compatible with the RTL8722DM. Open the following file:
Arduino/libraries/JPEGDecoder/src/User_Config.h
#define LOAD_SD_LIBRARY
and #define
LOAD_SDFAT_LIBRARY
are commented out, as shown in this excerpt from the
file://#define LOAD_SD_LIBRARY // Default SD Card library
//#define LOAD_SDFAT_LIBRARY // Use SdFat library instead, so SD Card SPI can be bit bashed
Open the example, "Files" -> "Examples" -> “TensorFlowLite_Ameba” ->
“person_detection”
.
Code Reference
More information on TensorFlow Lite for Microcontrollers can be found at: https://www.tensorflow.org/lite/microcontrollers