Renesas
Example programs for GR-MANGO
Dependencies: opencv-lib mbed-http
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This is a collection of sample programs that work on RZ/A2M boards. You can try Mbed OS for RZ/A2M with GR-MANGO board.
Overview¶
Sample program files are located under the sample_programs folder.
You can try each sample program by changing the following macro in sample_select.h.
insample_select.h
#define SAMPLE_PROGRAM_NO 0
| No. | Program file | Description |
|---|---|---|
| 0 | sample_00_led_rtc_analogin.cpp | DigitalOut, InterruptIn, RTC, Timer and AnalogIn |
| 1 | sample_01_flash_write.cpp | FlashAPI sample |
| 2 | sample_02_ssif_loop_back.cpp | SSIF loop back sample |
| 4 | sample_04_ssif_wav_playback.cpp | SSIF wav playback sample (use USB memory or SD card) |
| 7 | sample_07_usb_func_serial.cpp | USBSerial (CDC) sample |
| 8 | sample_08_usb_func_mouse.cpp | USBMouse sample |
| 9 | sample_09_usb_func_keyboard.cpp | USBKeyboard sample |
| 10 | sample_10_usb_func_midi.cpp | USBMIDI sample |
| 11 | sample_11_usb_func_audio_1.cpp | USBAudio sample |
| 12 | sample_12_usb_func_audio_2.cpp | USBAudio and SSIF sample |
| 13 | sample_13_ether_http.cpp | Ether HTTP sample |
| 14 | sample_14_ether_https.cpp | Ether HTTPS sample |
| 16 | sample_16_usb_func_msd_1.cpp | USBMSD and FlashAPI sample |
| 17 | sample_17_usb_func_msd_2.cpp | USBMSD and FlashAPI sample advanced version |
| 18 | sample_18_mipi_drp_lcd.cpp | MIPI, DRP and LCD sample |
| 19 | sample_19_mipi_drp_diplayapp.cpp | MIPI, DRP and USBSerial (CDC) sample (use "DisplayApp") |
| 20 | sample_20_drp_dynamic_loading.cpp | DRP Dynamic Loading Sample |
| 21 | sample_21_deep_standby_alarm.cpp | Deep standby and RTC alarm sample |
| 22 | sample_22_hdmi_disp_ssif.cpp | HDMI output and SSIF wav playback Sample |
| 23 | sample_23_mipi_hdmi.cpp | HDMI output and MIPI Sample |
| 24 | sample_24_facedetection.cpp | HDMI output and face detection using OpenCV |
| 25 | sample_25_hdmi_mouse.cpp | HDMI output and Mouse Sample |
About sample_24_facedetection.cpp, this is a demonstration that can detect the face of a person without a mask. It will surround the face of a person without a mask with a red rectangle and sound alarm at the same time. To use OpenCV for face recognition, you need to prepare the followings:
・USB drive or SD card
・ Raspberry Pi Camera Module V2
・ HDMI monitor
Perform the following steps to complete face recognition sample.
1. Save the lbpcascade_frontalface.xml to USB drive or SD card.
2. Save the alarm.wav to USB drive or SD card.
3. Set "camera-type" value to "CAMERA_RASPBERRY_PI_832X480" in mbed_app.json
About custom boot loaders¶
This sample uses custom bootloader revision 5, and you can drag & drop the "xxxx_application.bin" file to write the program. Please see here for the detail.
How to write program¶
When using DAPLink, please use xxxx.bin as following.
- Connect the
micro USB type B terminalto the PC using a USB cable. - You can find the
MBEDdirectory. - Drag & drop
xxxx.binto theMBEDdirectory. - When writing is completed, press the reset button.
When using custom bootloader, please use xxxx_application.bin as following.
- Connect the
USB type C terminalto the PC using a USB cable. - Hold down
USB0and press the reset button. - You can find the
GR-MANGdirectory. - Drag & drop xxxx_application.bin to the GR-MANGO directory.
When writing is completed, press the reset button.
Attention!¶
For the first time only, you need to write a custom bootloader using DAPLink.
Terminal setting¶
If you want to confirm the serial communication the terminal soft on your PC, please specify the below values.
You can change the baud rate by platform.stio-baud-rate of mbed_app.json.
| Baud rate | 115,200 |
| Data | 8bit |
| Parity | none |
| Stop | 1bit |
| Flow control | none |