K210的程序编译和下载、串口通信

  在串口通信时，这里有一个点需要注意的问题，串口通信时除了信号线还需要接地线，如下图。配置好串口速率等就可以用串口软件或者树莓派来获取。

RX <----------> IO05 TX <----------> IO04 GND <----------> GND

串口通信脚本

#!/usr/bin/env python     #树莓派上的串口实验

import os
import serial
import re

isProcessing = 0

ser = serial.Serial(
#	port=/dev/ttyUSB0,             #usb接入串口
	port=/dev/ttyAMA0,			 #板载串口
	baudrate = 115200,
	parity=serial.PARITY_NONE,
	stopbits=serial.STOPBITS_ONE,
	bytesize=serial.EIGHTBITS,
	timeout=1
)

while 1:
	if isProcessing == 0:
		x=ser.readline()
		print(x)

开发板上串口程序示例

//头文件与初始化uart
#include "uarths.h"
#define UART_NUM    UART_DEVICE_3
uart_init(UART_NUM);
uart_configure(UART_NUM, 115200, 8, UART_STOP_1, UART_PARITY_NONE);

char *hel = {
          
   "hello world!
"};
uart_send_data(UART_NUM, hel, strlen(hel));

k210编译与烧写

[root@ton home]#git clone https://github.com/kendryte/kendryte-standalone-sdk.git   #clone kendryte SDK
[root@ton home]#cp -r  face_detect/ /home/kendryte-standalone-sdk/src/     #拷贝项目到src目录下
[root@ton home]#cd kendryte-standalone-sdk/src/face_detect/

[root@ton face_detect]#mkdir build  && cd build/

[root@ton build]#cmake  .. -DPROJ=face_detect         #这里会报错
CMake Error: The source directory "/home/kendryte-standalone-sdk/src/face_detect" does not appear to contain CMakeLists.txt.
Specify --help for usage, or press the help button on the CMake GUI.
 
[root@ton build]#cmake  ../../../  -DPROJ=face_detect    #定位到SDK目录
PROJ = face_detect
-- Check for RISCV toolchain ...
-- Using /opt/kendryte-toolchain/bin RISCV toolchain
-- The C compiler identification is GNU 8.2.0

...

Makefile created.


-- Configuring done
-- Generating done
-- Build files have been written to: /home/kendryte-standalone-sdk/src/face_detect/build

[root@ton build]#make    #编译
Scanning dependencies of target nncase
[  2%] Building CXX object lib/nncase/CMakeFiles/nncase.dir/nncase.cpp.obj
[  4%] Building CXX object lib/nncase/CMakeFiles/nncase.dir/runtime/cpu/cpu_ops.cpp.obj
 ...
[ 98%] Building C object CMakeFiles/face_detect.dir/src/face_detect/w25qxx.c.obj
[100%] Linking C executable face_detect
Generating .bin file ...
[100%] Built target face_detect
[root@ton build]#

[root@ton build]#ls     #make 后生成.bin文件 
CMakeCache.txt  CMakeFiles  cmake_install.cmake  face_detect  face_detect.bin  lib  Makefile  to

#下面进行烧写
[root@ton k210-face-detect]#zip -d face_detect.kfpkg face_detect.bin     #删除kfpkg包里的指定文件 
deleting: face_detect.bin
[root@ton k210-face-detect]#zip -m face_detect.kfpkg face_detect.bin     #添加.bin文件，或者同样可以添加kmodel文件 
  adding: face_detect.bin (deflated 41%)

[root@ton k210-face-detect]#python3 kflash.py -b 1500000 face_detect.kfpkg    #烧写程序

可以写成脚本来完成上述步骤

github上的例程

#模形训练时命令记录
toco --graph_def_file=./Freeze_save.pb --input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE 
--output_file=./Freeze_save.tflite --inference_type=FLOAT --input_type=FLOAT --input_arrays=Input_image 
--output_arrays=Yolo/Final/conv2d/BiasAdd --input_shapes=1,240,320,3

ncc -i tflite -o k210model --dataset ../../../../k210-face-detection/FDDB/ 
./workspace/Freeze_save.tflite ./workspace/Freeze_save.kmodel