Renesas
Example programs for GR-MANGO
Dependencies: opencv-lib mbed-http
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 |
Notice
sample_24_facedetection.cpp only can be compiled with GNU Compiler Collection.
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. Copy the lbpcascade_frontalface.xml to the root folder of USB drive or SD card and save it.
2. Copy the alarm.wav to the root folder of USB drive or SD card and save it.
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 |
History
Modified EP952 Parameters.
2021-03-04, by luyao@os.mbed.com [Thu, 04 Mar 2021 18:22:21 +0900] rev 16
Modified EP952 Parameters.
Modified the condition for compilation error in sample 24.
2021-02-12, by RyoheiHagimoto@os.mbed.com [Fri, 12 Feb 2021 11:28:25 +0900] rev 15
Modified the condition for compilation error in sample 24.
face_detector can only use GCC complier for openCV sourse code.
2021-02-02, by luyao@os.mbed.com [Tue, 02 Feb 2021 17:31:57 +0900] rev 14
face_detector can only use GCC complier for openCV sourse code.
commit rectangle timing changed.
2021-01-29, by luyao@os.mbed.com [Fri, 29 Jan 2021 18:31:25 +0900] rev 13
commit rectangle timing changed.
librarized opencv library.
2021-01-29, by RyoheiHagimoto@os.mbed.com [Fri, 29 Jan 2021 14:06:59 +0900] rev 12
librarized opencv library.
Added Face detection sample.
2021-01-29, by luyao@os.mbed.com [Fri, 29 Jan 2021 11:01:28 +0900] rev 11
Added Face detection sample.
Updated mbed-gr-libs library.
2020-11-27, by RyoheiHagimoto@os.mbed.com [Fri, 27 Nov 2020 22:31:31 +0900] rev 10
Updated mbed-gr-libs library.
Added Sample 25 HDMI-mouse sample.
2020-11-26, by RyoheiHagimoto@os.mbed.com [Thu, 26 Nov 2020 15:57:33 +0900] rev 9
Added Sample 25 HDMI-mouse sample.
Updated mbed-gr-libs
2020-11-11, by RyoheiHagimoto@os.mbed.com [Wed, 11 Nov 2020 11:34:44 +0900] rev 8
Updated mbed-gr-libs
Updated the refering mbed-gr-libs repository.
2020-10-22, by RyoheiHagimoto@os.mbed.com [Thu, 22 Oct 2020 12:42:06 +0900] rev 7
Updated the refering mbed-gr-libs repository.