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Merge branch 'prepare_for_master' of https://git.trustie.net/xuos/xiuos into 1220

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This commit is contained in:
wlyu
2021-12-31 23:39:20 +08:00
parent 7c0b7367d1 711bd5bd15
commit 37cbb51afa
221 changed files with 15553 additions and 1682 deletions
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7
APP_Framework/Applications/Make.defs Normal file
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@@ -0,0 +1,7 @@
############################################################################
# APP_Framework/Applications/Make.defs
############################################################################
CONFIGURED_APPS += $(APPDIR)/../../../APP_Framework/Applications
CONFIGURED_APPS += $(APPDIR)/../../../APP_Framework/Applications/general_functions/list
include $(wildcard $(APPDIR)/../../../APP_Framework/Applications/*/Make.defs)

45
APP_Framework/Applications/Makefile
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@@ -1,25 +1,36 @@
SRC_DIR := general_functions app_test
include $(KERNEL_ROOT)/.config
SRC_FILES := main.c framework_init.c
ifeq ($(CONFIG_ADD_NUTTX_FETURES),y)
include $(APPDIR)/Make.defs
CSRCS += framework_init.c
include $(APPDIR)/Application.mk
ifeq ($(CONFIG_APPLICATION_OTA),y)
SRC_DIR += ota
endif
ifeq ($(CONFIG_APPLICATION_SENSOR),y)
SRC_DIR += sensor_app
endif
ifeq ($(CONFIG_ADD_XIUOS_FETURES),y)
SRC_DIR := general_functions app_test
ifeq ($(CONFIG_APPLICATION_CONNECTION),y)
SRC_DIR += connection_app
endif
SRC_FILES := main.c framework_init.c
ifeq ($(CONFIG_APPLICATION_KNOWING),y)
SRC_DIR += knowing_app
endif
ifeq ($(CONFIG_APPLICATION_OTA),y)
SRC_DIR += ota
endif
ifeq ($(CONFIG_APPLICATION_CONTROL),y)
SRC_DIR += control_app
endif
ifeq ($(CONFIG_APPLICATION_SENSOR),y)
SRC_DIR += sensor_app
endif
include $(KERNEL_ROOT)/compiler.mk
ifeq ($(CONFIG_APPLICATION_CONNECTION),y)
SRC_DIR += connection_app
endif
ifeq ($(CONFIG_APPLICATION_KNOWING),y)
SRC_DIR += knowing_app
endif
ifeq ($(CONFIG_APPLICATION_CONTROL),y)
SRC_DIR += control_app
endif
include $(KERNEL_ROOT)/compiler.mk
endif

10
APP_Framework/Applications/framework_init.c
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@@ -28,6 +28,8 @@ extern int D124VoiceInit(void);
extern int Hs300xTemperatureInit(void);
extern int Hs300xHumidityInit(void);
extern int Ps5308Pm1_0Init(void);
extern int Ps5308Pm2_5Init(void);
extern int Ps5308Pm10Init(void);
extern int Zg09Co2Init(void);
extern int As830Ch4Init(void);
extern int Tb600bIaq10IaqInit(void);
@@ -87,6 +89,12 @@ static struct InitDesc sensor_desc[] =
#ifdef SENSOR_QUANTITY_PS5308_PM1_0
{ "ps5308_pm1_0", Ps5308Pm1_0Init },
#endif
#ifdef SENSOR_QUANTITY_PS5308_PM2_5
{ "ps5308_pm2_5", Ps5308Pm2_5Init },
#endif
#ifdef SENSOR_QUANTITY_PS5308_PM10
{ "ps5308_pm10", Ps5308Pm10Init },
#endif
#endif
#ifdef SENSOR_ZG09
@@ -190,7 +198,7 @@ static int ConnectionDeviceFrameworkInit(struct InitDesc sub_desc[])
* This function will init system framework
*
*/
int FrameworkInit()
int FrameworkInit(void)
{
#ifdef SUPPORT_SENSOR_FRAMEWORK
SensorDeviceFrameworkInit(framework);

12
APP_Framework/Applications/general_functions/list/Makefile
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@@ -1,3 +1,11 @@
SRC_FILES := double_list.c single_list.c
include $(KERNEL_ROOT)/.config
ifeq ($(CONFIG_ADD_NUTTX_FETURES),y)
include $(APPDIR)/Make.defs
CSRCS += double_list.c single_list.c
include $(APPDIR)/Application.mk
endif
include $(KERNEL_ROOT)/compiler.mk
ifeq ($(CONFIG_ADD_XIUOS_FETURES),y)
SRC_FILES := double_list.c single_list.c
include $(KERNEL_ROOT)/compiler.mk
endif

4
APP_Framework/Applications/general_functions/list/list.h
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@@ -22,7 +22,9 @@
#ifndef __LIST_H__
#define __LIST_H__
#include "libc.h"
#include <errno.h>
#include <stdarg.h>
#include <fcntl.h>
#include<stddef.h>
#ifdef __cplusplus
extern "C" {

32
APP_Framework/Applications/knowing_app/Kconfig
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@@ -1,17 +1,15 @@
menu "knowing app"
menuconfig APPLICATION_KNOWING
bool "Using knowing apps"
default n
if APPLICATION_KNOWING
source "$APP_DIR/Applications/knowing_app/mnist/Kconfig"
source "$APP_DIR/Applications/knowing_app/face_detect/Kconfig"
source "$APP_DIR/Applications/knowing_app/instrusion_detect/Kconfig"
source "$APP_DIR/Applications/knowing_app/helmet_detect/Kconfig"
source "$APP_DIR/Applications/knowing_app/iris_ml_demo/Kconfig"
source "$APP_DIR/Applications/knowing_app/k210_fft_test/Kconfig"
source "$APP_DIR/Applications/knowing_app/image_processing/Kconfig"
source "$APP_DIR/Applications/knowing_app/cmsis_5_demo/Kconfig"
endif
endmenu
menu "knowing app"
menuconfig APPLICATION_KNOWING
bool "Using knowing apps"
default n
if APPLICATION_KNOWING
source "$APP_DIR/Applications/knowing_app/mnist/Kconfig"
source "$APP_DIR/Applications/knowing_app/k210_detect_entry/Kconfig"
source "$APP_DIR/Applications/knowing_app/iris_ml_demo/Kconfig"
source "$APP_DIR/Applications/knowing_app/k210_fft_test/Kconfig"
source "$APP_DIR/Applications/knowing_app/image_processing/Kconfig"
source "$APP_DIR/Applications/knowing_app/cmsis_5_demo/Kconfig"
endif
endmenu

8
APP_Framework/Applications/knowing_app/face_detect/Kconfig
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@@ -1,8 +0,0 @@
config FACE_DETECT
bool "enable apps/face detect"
depends on BOARD_K210_EVB
depends on DRV_USING_OV2640
depends on USING_KPU_POSTPROCESSING
depends on USING_YOLOV2
select LIB_USING_CJSON
default n

9
APP_Framework/Applications/knowing_app/face_detect/SConscript
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@@ -1,9 +0,0 @@
from building import *
cwd = GetCurrentDir()
src = Glob('*.c') + Glob('*.cpp')
CPPPATH = [cwd]
group = DefineGroup('Applications', src, depend = ['FACE_DETECT'], LOCAL_CPPPATH = CPPPATH)
Return('group')

379
APP_Framework/Applications/knowing_app/face_detect/face_detect.c
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@@ -1,379 +0,0 @@
#include <transform.h>
#ifdef LIB_USING_CJSON
#include <cJSON.h>
#endif
#include "region_layer.h"
#define ANCHOR_NUM 5
#define STACK_SIZE (128 * 1024)
#define JSON_FILE_PATH "/kmodel/detect.json"
#define JSON_BUFFER_SIZE (4 * 1024)
static dmac_channel_number_t dma_ch = DMAC_CHANNEL_MAX;
// params from json
static float anchor[ANCHOR_NUM * 2] = {};
static int net_output_shape[3] = {};
static int net_input_size[2] = {};
static int sensor_output_size[2] = {};
static char kmodel_path[127] = "";
static int kmodel_size = 0;
static float obj_thresh[20] = {};
static float nms_thresh = 0.0;
static char labels[20][32] = {};
static int class_num = 0;
#define THREAD_PRIORITY_FACE_D (11)
static pthread_t facetid = 0;
static void *thread_face_detcet_entry(void *parameter);
static int g_fd = 0;
static int kmodel_fd = 0;
static int if_exit = 0;
static unsigned char *showbuffer = NULL;
static unsigned char *kpurgbbuffer = NULL;
static _ioctl_shoot_para shoot_para_t = {0};
unsigned char *model_data = NULL; // kpu data load memory
unsigned char *model_data_align = NULL;
kpu_model_context_t face_detect_task;
static region_layer_t face_detect_rl;
static obj_info_t face_detect_info;
volatile uint32_t g_ai_done_flag;
static void ai_done(void *ctx) { g_ai_done_flag = 1; }
static void param_parse()
{
int fin;
char buffer[JSON_BUFFER_SIZE] = "";
// char *buffer;
// if (NULL != (buffer = (char*)malloc(JSON_BUFFER_SIZE * sizeof(char)))) {
// memset(buffer, 0, JSON_BUFFER_SIZE * sizeof(char));
// } else {
// printf("Json buffer malloc failed!");
// exit(-1);
// }
int array_size;
cJSON *json_obj;
cJSON *json_item;
cJSON *json_array_item;
fin = open(JSON_FILE_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", JSON_FILE_PATH);
exit(-1);
}
read(fin, buffer, sizeof(buffer));
close(fin);
// read json string
json_obj = cJSON_Parse(buffer);
// free(buffer);
char *json_print_str = cJSON_Print(json_obj);
printf("Json file content: \n%s\n", json_print_str);
cJSON_free(json_print_str);
// get anchors
json_item = cJSON_GetObjectItem(json_obj, "anchors");
array_size = cJSON_GetArraySize(json_item);
if (ANCHOR_NUM * 2 != array_size) {
printf("Expect anchor size: %d, got %d in json file", ANCHOR_NUM * 2, array_size);
exit(-1);
} else {
printf("Got %d anchors from json file\n", ANCHOR_NUM);
}
for (int i = 0; i < ANCHOR_NUM * 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
anchor[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, anchor[i]);
}
// net_input_size
json_item = cJSON_GetObjectItem(json_obj, "net_input_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect net_input_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d net_input_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_input_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_input_size[i]);
}
// net_output_shape
json_item = cJSON_GetObjectItem(json_obj, "net_output_shape");
array_size = cJSON_GetArraySize(json_item);
if (3 != array_size) {
printf("Expect net_output_shape: %d, got %d in json file", 3, array_size);
exit(-1);
} else {
printf("Got %d net_output_shape from json file\n", 3);
}
for (int i = 0; i < 3; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_output_shape[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_output_shape[i]);
}
// sensor_output_size
json_item = cJSON_GetObjectItem(json_obj, "sensor_output_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect sensor_output_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d sensor_output_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
sensor_output_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, sensor_output_size[i]);
}
// kmodel_path
json_item = cJSON_GetObjectItem(json_obj, "kmodel_path");
memcpy(kmodel_path, json_item->valuestring, strlen(json_item->valuestring));
printf("Got kmodel_path: %s\n", kmodel_path);
// kmodel_size
json_item = cJSON_GetObjectItem(json_obj, "kmodel_size");
kmodel_size = json_item->valueint;
printf("Got kmodel_size: %d\n", kmodel_size);
// labels
json_item = cJSON_GetObjectItem(json_obj, "labels");
class_num = cJSON_GetArraySize(json_item);
if (0 >= class_num) {
printf("No labels!");
exit(-1);
} else {
printf("Got %d labels\n", class_num);
}
for (int i = 0; i < class_num; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
memcpy(labels[i], json_array_item->valuestring, strlen(json_array_item->valuestring));
printf("%d: %s\n", i, labels[i]);
}
// obj_thresh
json_item = cJSON_GetObjectItem(json_obj, "obj_thresh");
array_size = cJSON_GetArraySize(json_item);
if (class_num != array_size) {
printf("label number and thresh number mismatch! label number : %d, obj thresh number %d", class_num, array_size);
exit(-1);
} else {
printf("Got %d obj_thresh\n", array_size);
}
for (int i = 0; i < array_size; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
obj_thresh[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, obj_thresh[i]);
}
// nms_thresh
json_item = cJSON_GetObjectItem(json_obj, "nms_thresh");
nms_thresh = json_item->valuedouble;
printf("Got nms_thresh: %f\n", nms_thresh);
cJSON_Delete(json_obj);
return;
}
void face_detect()
{
int ret = 0;
int result = 0;
int size = 0;
param_parse();
g_fd = open("/dev/ov2640", O_RDONLY);
if (g_fd < 0) {
printf("open ov2640 fail !!");
return;
}
_ioctl_set_dvp_reso set_dvp_reso = {sensor_output_size[1], sensor_output_size[0]};
ioctl(g_fd, IOCTRL_CAMERA_SET_DVP_RESO, &set_dvp_reso);
showbuffer = (unsigned char *)rt_malloc_align(sensor_output_size[0] * sensor_output_size[1] * 2,64);
if (NULL == showbuffer) {
close(g_fd);
printf("showbuffer apply memory fail !!");
return;
}
kpurgbbuffer = (unsigned char *)rt_malloc_align(net_input_size[0] * net_input_size[1] * 3,64);
if (NULL == kpurgbbuffer) {
close(g_fd);
rt_free_align(showbuffer);
printf("kpurgbbuffer apply memory fail !!");
return;
}
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
rt_free_align(showbuffer);
rt_free_align(kpurgbbuffer);
close(g_fd);
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
memset(showbuffer, 0, sensor_output_size[0] * sensor_output_size[1] * 2);
memset(kpurgbbuffer, 0, net_input_size[0] * net_input_size[1] * 3);
shoot_para_t.pdata = (unsigned int *)(showbuffer);
shoot_para_t.length = (size_t)(sensor_output_size[0] * sensor_output_size[1] * 2);
/*
load memory
*/
kmodel_fd = open(kmodel_path, O_RDONLY);
if (kmodel_fd < 0) {
printf("open kmodel fail");
close(g_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
printf("read kmodel success \n");
}
}
unsigned char *model_data_align = (unsigned char *)(((unsigned int)model_data + 255) & (~255));
dvp_set_ai_addr((uint32_t)kpurgbbuffer, (uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1]),
(uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1] * 2));
if (kpu_load_kmodel(&face_detect_task, model_data_align) != 0) {
printf("\nmodel init error\n");
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
}
face_detect_rl.anchor_number = ANCHOR_NUM;
face_detect_rl.anchor = anchor;
face_detect_rl.threshold = malloc(class_num * sizeof(float));
for (int idx = 0; idx < class_num; idx++) {
face_detect_rl.threshold[idx] = obj_thresh[idx];
}
face_detect_rl.nms_value = nms_thresh;
result = region_layer_init(&face_detect_rl, net_output_shape[0], net_output_shape[1], net_output_shape[2],
net_input_size[1], net_input_size[0]);
printf("region_layer_init result %d \n\r", result);
size_t stack_size = STACK_SIZE;
pthread_attr_t attr; /* 线程属性 */
struct sched_param prio; /* 线程优先级 */
prio.sched_priority = 8; /* 优先级设置为 8 */
pthread_attr_init(&attr); /* 先使用默认值初始化属性 */
pthread_attr_setschedparam(&attr, &prio); /* 修改属性对应的优先级 */
pthread_attr_setstacksize(&attr, stack_size);
/* 创建线程 1, 属性为 attr，入口函数是 thread_entry，入口函数参数是 1 */
result = pthread_create(&facetid, &attr, thread_face_detcet_entry, NULL);
if (0 == result) {
printf("thread_face_detcet_entry successfully!\n");
} else {
printf("thread_face_detcet_entry failed! error code is %d\n", result);
close(g_fd);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(face_detect, face detect task);
#endif
static void *thread_face_detcet_entry(void *parameter)
{
extern void lcd_draw_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t * ptr);
printf("thread_face_detcet_entry start!\n");
int ret = 0;
// sysctl_enable_irq();
while (1) {
// memset(showbuffer,0,320*240*2);
g_ai_done_flag = 0;
ret = ioctl(g_fd, IOCTRL_CAMERA_START_SHOT, &shoot_para_t);
if (RT_ERROR == ret) {
printf("ov2640 can't wait event flag");
rt_free(showbuffer);
close(g_fd);
pthread_exit(NULL);
return NULL;
}
if (dmalock_sync_take(&dma_ch, 2000))
{
printf("Fail to take DMA channel");
}
kpu_run_kmodel(&face_detect_task, kpurgbbuffer, DMAC_CHANNEL5, ai_done, NULL);
while (!g_ai_done_flag)
;
dmalock_release(dma_ch);
float *output;
size_t output_size;
kpu_get_output(&face_detect_task, 0, (uint8_t **)&output, &output_size);
face_detect_rl.input = output;
region_layer_run(&face_detect_rl, &face_detect_info);
/* display result */
for (int face_cnt = 0; face_cnt < face_detect_info.obj_number; face_cnt++) {
draw_edge((uint32_t *)showbuffer, &face_detect_info, face_cnt, 0xF800, (uint16_t)sensor_output_size[1],
(uint16_t)sensor_output_size[0]);
// printf("%d: (%d, %d, %d, %d) cls: %s conf: %f\t", face_cnt, face_detect_info.obj[face_cnt].x1,
// face_detect_info.obj[face_cnt].y1, face_detect_info.obj[face_cnt].x2, face_detect_info.obj[face_cnt].y2,
// labels[face_detect_info.obj[face_cnt].class_id], face_detect_info.obj[face_cnt].prob);
}
#ifdef BSP_USING_LCD
lcd_draw_picture(0, 0, (uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0], (uint32_t *)showbuffer);
//lcd_show_image(0, 0, (uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0], (unsigned int *)showbuffer);
#endif
usleep(500);
if (1 == if_exit) {
if_exit = 0;
printf("thread_face_detcet_entry exit");
pthread_exit(NULL);
}
}
}
void face_detect_delete()
{
if (showbuffer != NULL) {
int ret = 0;
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
printf("face detect task cancel!!! ret %d ", ret);
if_exit = 1;
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(face_detect_delete, face detect task delete);
#endif
void kmodel_load(unsigned char *model_data)
{
int kmodel_fd = 0;
int size = 0;
kmodel_fd = open(kmodel_path, O_RDONLY);
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
if (kmodel_fd >= 0) {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
} else {
printf("read kmodel success");
}
} else {
free(model_data);
printf("open kmodel fail");
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(kmodel_load, kmodel load memory);
#endif

8
APP_Framework/Applications/knowing_app/helmet_detect/Kconfig
View File

@@ -1,8 +0,0 @@
config HELMET_DETECT
bool "enable apps/helmet detect"
depends on BOARD_K210_EVB
depends on DRV_USING_OV2640
depends on USING_KPU_POSTPROCESSING
depends on USING_YOLOV2
select LIB_USING_CJSON
default n

167
APP_Framework/Applications/knowing_app/helmet_detect/README.md
View File

@@ -1,167 +0,0 @@
# Helmet detection demo
### A helmet and head without helmet object detection task demo. Running MobileNet-yolo on K210-based edge devices.
---
## Training
### Enviroment preparation
Model generated by [aXeleRate](https://forgeplus.trustie.net/projects/yangtuo250/aXeleRate) and converted to kmodel by [nncase](https://github.com/kendryte/nncase/tree/v0.1.0-rc5).
```shell
# master branch for MobileNetv1-yolov2 and unstable branch to test MobileNetv1(v2)-yolov2(v3)
git clone https://git.trustie.net/yangtuo250/aXeleRate.git (-b unstable)
cd aXeleRate
pip install -r requirments.txt && pip install -e .
```
### training config setting
Example [config](https://forgeplus.trustie.net/projects/yangtuo250/aXeleRate/tree/master/configs/detector.json), some hyper-parameters:
- architecture: backbone, MobileNet7_5 for default, MobileNet1_0(α = 1.0) and above cannot run on K210 because of OOM on feature map in master branch. For unstable branch MobileNetV2_1_0 is OK.
- input_size: fixed model input size, single integer for height equals to width, otherwise a list([height, width]).
- anchors: yolov2 anchor(for master) or anchor scaled to 1.0(for unstable), can be generate by [darknet](https://github.com/AlexeyAB/darknet).
- labels: labels of all classes.
- train(valid)_image(annot)_folder: path of images and annoations for training and validation.
- saved_folder: path for trainig result storage(models, checkpoints, logs ...).
Mine config for unstable:
```json
{
"model": {
"type": "Detector",
"architecture": "MobileNetV2_1_0",
"input_size": [
224,
320
],
"anchors": [
[
[
0.1043,
0.1560
],
[
0.0839,
0.3036
],
[
0.1109,
0.3923
],
[
0.1378,
0.5244
],
[
0.2049,
0.6673
]
]
],
"labels": [
"human"
],
"obj_thresh": 0.5,
"iou_thresh": 0.45,
"coord_scale": 1.0,
"class_scale": 0.0,
"object_scale": 5.0,
"no_object_scale": 3.0
},
"weights": {
"full": "",
"backend": ""
},
"train": {
"actual_epoch": 2000,
"train_image_folder": "mydata/human/Images/train",
"train_annot_folder": "mydata/human/Annotations/train",
"train_times": 2,
"valid_image_folder": "mydata/human/Images/val",
"valid_annot_folder": "mydata/human/Annotations/val",
"valid_times": 1,
"valid_metric": "precision",
"batch_size": 32,
"learning_rate": 2e-5,
"saved_folder": "mydata/human/results",
"first_trainable_layer": "",
"augmentation": true,
"is_only_detect": false,
"validation_freq": 5,
"quantize": false,
"class_weights": [1.0]
},
"converter": {
"type": [
"k210"
]
}
}
```
*(For more detailed config usage, please refer to original aXeleRate repo.)*
### data preparation
Please refer to [VOC format](https://towardsdatascience.com/coco-data-format-for-object-detection-a4c5eaf518c5), path as config above.
### train it!
```shell
python -m aXeleRate.train -c PATH_TO_YOUR_CONFIG
```
### model convert
Please refer to [nncase repo](https://github.com/kendryte/nncase/tree/v0.1.0-rc5).
---
## Deployment
### compile and burn
Use `(scons --)menuconfig` in bsp folder *(Ubiquitous/RT_Thread/bsp/k210)*, open:
- More Drivers --> ov2640 driver
- Board Drivers Config --> Enable LCD on SPI0
- Board Drivers Config --> Enable SDCARD (spi1(ss0))
- Board Drivers Config --> Enable DVP(camera)
- RT-Thread Components --> POSIX layer and C standard library --> Enable pthreads APIs
- APP_Framework --> Framework --> support knowing framework --> kpu model postprocessing --> yolov2 region layer
- APP_Framework --> Applications --> knowing app --> enable apps/helmet detect
`scons -j(n)` to compile and burn in by *kflash*.
### json config and kmodel
Copy json config for deployment o SD card */kmodel*. Example config file is *helmet.json* in this directory. Something to be modified:
- net_input_size: same as *input_size* in training config file, but array only.
- net_output_shape: final feature map size, can be found in **nncase** output.
- sensor_output_size: image height and width from camera.
- kmodel_size: kmodel size shown in file system.
- anchors: same as *anchor* in training config file(multi-dimention anchors flatten to 1 dim).
- labels: same as *label* in training config file.
- obj_thresh: array, object threshold of each label.
- nms_thresh: NMS threshold of boxes.
Copy final kmodel to SD card */kmodel* either.
---
## Run
In serial terminal, `helmet_detect` to start a detection thread, `helmet_detect_delete` to stop it. Detection results can be found in output.
---
## TODO
- [ ] Fix LCD real-time result display.
- [ ] Test more object detection backbone and algorithm(like yolox).

380
APP_Framework/Applications/knowing_app/helmet_detect/helmet_detect.c
View File

@@ -1,380 +0,0 @@
#include <transform.h>
#ifdef LIB_USING_CJSON
#include <cJSON.h>
#endif
#include "region_layer.h"
#define ANCHOR_NUM 5
#define STACK_SIZE (128 * 1024)
#define JSON_FILE_PATH "/kmodel/helmet.json"
#define JSON_BUFFER_SIZE (4 * 1024)
// params from json
static float anchor[ANCHOR_NUM * 2] = {};
static int net_output_shape[3] = {};
static int net_input_size[2] = {};
static int sensor_output_size[2] = {};
static char kmodel_path[127] = "";
static int kmodel_size = 0;
static float obj_thresh[20] = {};
static float nms_thresh = 0.0;
static char labels[20][32] = {};
static int class_num = 0;
#define THREAD_PRIORITY_HELMET_D (11)
static pthread_t helmettid = 0;
static void *thread_helmet_detect_entry(void *parameter);
static int g_fd = 0;
static int kmodel_fd = 0;
static int if_exit = 0;
static unsigned char *showbuffer = NULL;
static unsigned char *kpurgbbuffer = NULL;
static _ioctl_shoot_para shoot_para_t = {0};
unsigned char *model_data = NULL; // kpu data load memory
unsigned char *model_data_align = NULL;
kpu_model_context_t helmet_detect_task;
static region_layer_t helmet_detect_rl;
static obj_info_t helmet_detect_info;
volatile uint32_t g_ai_done_flag;
static void ai_done(void *ctx) { g_ai_done_flag = 1; }
static void param_parse()
{
int fin;
char buffer[JSON_BUFFER_SIZE] = "";
// char *buffer;
// if (NULL != (buffer = (char*)malloc(JSON_BUFFER_SIZE * sizeof(char)))) {
// memset(buffer, 0, JSON_BUFFER_SIZE * sizeof(char));
// } else {
// printf("Json buffer malloc failed!");
// exit(-1);
// }
int array_size;
cJSON *json_obj;
cJSON *json_item;
cJSON *json_array_item;
fin = open(JSON_FILE_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", JSON_FILE_PATH);
exit(-1);
}
read(fin, buffer, sizeof(buffer));
close(fin);
// read json string
json_obj = cJSON_Parse(buffer);
// free(buffer);
char *json_print_str = cJSON_Print(json_obj);
printf("Json file content: \n%s\n", json_print_str);
cJSON_free(json_print_str);
// get anchors
json_item = cJSON_GetObjectItem(json_obj, "anchors");
array_size = cJSON_GetArraySize(json_item);
if (ANCHOR_NUM * 2 != array_size) {
printf("Expect anchor size: %d, got %d in json file", ANCHOR_NUM * 2, array_size);
exit(-1);
} else {
printf("Got %d anchors from json file\n", ANCHOR_NUM);
}
for (int i = 0; i < ANCHOR_NUM * 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
anchor[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, anchor[i]);
}
// net_input_size
json_item = cJSON_GetObjectItem(json_obj, "net_input_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect net_input_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d net_input_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_input_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_input_size[i]);
}
// net_output_shape
json_item = cJSON_GetObjectItem(json_obj, "net_output_shape");
array_size = cJSON_GetArraySize(json_item);
if (3 != array_size) {
printf("Expect net_output_shape: %d, got %d in json file", 3, array_size);
exit(-1);
} else {
printf("Got %d net_output_shape from json file\n", 3);
}
for (int i = 0; i < 3; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_output_shape[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_output_shape[i]);
}
// sensor_output_size
json_item = cJSON_GetObjectItem(json_obj, "sensor_output_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect sensor_output_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d sensor_output_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
sensor_output_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, sensor_output_size[i]);
}
// kmodel_path
json_item = cJSON_GetObjectItem(json_obj, "kmodel_path");
memcpy(kmodel_path, json_item->valuestring, strlen(json_item->valuestring));
printf("Got kmodel_path: %s\n", kmodel_path);
// kmodel_size
json_item = cJSON_GetObjectItem(json_obj, "kmodel_size");
kmodel_size = json_item->valueint;
printf("Got kmodel_size: %d\n", kmodel_size);
// labels
json_item = cJSON_GetObjectItem(json_obj, "labels");
class_num = cJSON_GetArraySize(json_item);
if (0 >= class_num) {
printf("No labels!");
exit(-1);
} else {
printf("Got %d labels\n", class_num);
}
for (int i = 0; i < class_num; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
memcpy(labels[i], json_array_item->valuestring, strlen(json_array_item->valuestring));
printf("%d: %s\n", i, labels[i]);
}
// obj_thresh
json_item = cJSON_GetObjectItem(json_obj, "obj_thresh");
array_size = cJSON_GetArraySize(json_item);
if (class_num != array_size) {
printf("label number and thresh number mismatch! label number : %d, obj thresh number %d", class_num, array_size);
exit(-1);
} else {
printf("Got %d obj_thresh\n", array_size);
}
for (int i = 0; i < array_size; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
obj_thresh[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, obj_thresh[i]);
}
// nms_thresh
json_item = cJSON_GetObjectItem(json_obj, "nms_thresh");
nms_thresh = json_item->valuedouble;
printf("Got nms_thresh: %f\n", nms_thresh);
cJSON_Delete(json_obj);
return;
}
void helmet_detect()
{
int ret = 0;
int result = 0;
int size = 0;
param_parse();
g_fd = open("/dev/ov2640", O_RDONLY);
if (g_fd < 0) {
printf("open ov2640 fail !!");
return;
}
_ioctl_set_dvp_reso set_dvp_reso = {sensor_output_size[1], sensor_output_size[0]};
ioctl(g_fd, IOCTRL_CAMERA_SET_DVP_RESO, &set_dvp_reso);
showbuffer = (unsigned char *)malloc(sensor_output_size[0] * sensor_output_size[1] * 2);
if (NULL == showbuffer) {
close(g_fd);
printf("showbuffer apply memory fail !!");
return;
}
kpurgbbuffer = (unsigned char *)malloc(net_input_size[0] * net_input_size[1] * 3);
if (NULL == kpurgbbuffer) {
close(g_fd);
free(showbuffer);
printf("kpurgbbuffer apply memory fail !!");
return;
}
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
free(showbuffer);
free(kpurgbbuffer);
close(g_fd);
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
memset(showbuffer, 0, sensor_output_size[0] * sensor_output_size[1] * 2);
memset(kpurgbbuffer, 127, net_input_size[0] * net_input_size[1] * 3);
shoot_para_t.pdata = (unsigned int *)(showbuffer);
shoot_para_t.length = (size_t)(sensor_output_size[0] * sensor_output_size[1] * 2);
/*
load memory
*/
kmodel_fd = open(kmodel_path, O_RDONLY);
if (kmodel_fd < 0) {
printf("open kmodel fail");
close(g_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
printf("read kmodel success \n");
}
}
unsigned char *model_data_align = (unsigned char *)(((unsigned int)model_data + 255) & (~255));
dvp_set_ai_addr((uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0])),
(uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0]) +
net_input_size[0] * net_input_size[1]),
(uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1] * 2 +
net_input_size[1] * (net_input_size[0] - sensor_output_size[0])));
if (kpu_load_kmodel(&helmet_detect_task, model_data_align) != 0) {
printf("\nmodel init error\n");
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
}
helmet_detect_rl.anchor_number = ANCHOR_NUM;
helmet_detect_rl.anchor = anchor;
helmet_detect_rl.threshold = malloc(class_num * sizeof(float));
for (int idx = 0; idx < class_num; idx++) {
helmet_detect_rl.threshold[idx] = obj_thresh[idx];
}
helmet_detect_rl.nms_value = nms_thresh;
result = region_layer_init(&helmet_detect_rl, net_output_shape[0], net_output_shape[1], net_output_shape[2],
net_input_size[1], net_input_size[0]);
printf("region_layer_init result %d \n\r", result);
size_t stack_size = STACK_SIZE;
pthread_attr_t attr; /* 线程属性 */
struct sched_param prio; /* 线程优先级 */
prio.sched_priority = 8; /* 优先级设置为 8 */
pthread_attr_init(&attr); /* 先使用默认值初始化属性 */
pthread_attr_setschedparam(&attr, &prio); /* 修改属性对应的优先级 */
pthread_attr_setstacksize(&attr, stack_size);
/* 创建线程 1, 属性为 attr，入口函数是 thread_entry，入口函数参数是 1 */
result = pthread_create(&helmettid, &attr, thread_helmet_detect_entry, NULL);
if (0 == result) {
printf("thread_helmet_detect_entry successfully!\n");
} else {
printf("thread_helmet_detect_entry failed! error code is %d\n", result);
close(g_fd);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(helmet_detect, helmet detect task);
#endif
static void *thread_helmet_detect_entry(void *parameter)
{
extern void lcd_draw_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t * ptr);
printf("thread_helmet_detect_entry start!\n");
int ret = 0;
// sysctl_enable_irq();
while (1) {
// memset(showbuffer,0,320*240*2);
g_ai_done_flag = 0;
ret = ioctl(g_fd, IOCTRL_CAMERA_START_SHOT, &shoot_para_t);
if (RT_ERROR == ret) {
printf("ov2640 can't wait event flag");
rt_free(showbuffer);
close(g_fd);
pthread_exit(NULL);
return NULL;
}
kpu_run_kmodel(&helmet_detect_task, kpurgbbuffer, DMAC_CHANNEL5, ai_done, NULL);
while (!g_ai_done_flag)
;
float *output;
size_t output_size;
kpu_get_output(&helmet_detect_task, 0, (uint8_t **)&output, &output_size);
helmet_detect_rl.input = output;
region_layer_run(&helmet_detect_rl, &helmet_detect_info);
/* display result */
#ifdef BSP_USING_LCD
for (int helmet_cnt = 0; helmet_cnt < helmet_detect_info.obj_number; helmet_cnt++) {
// draw_edge((uint32_t *)showbuffer, &helmet_detect_info, helmet_cnt, 0xF800,
// (uint16_t)sensor_output_size[1],
// (uint16_t)sensor_output_size[0]);
printf("%d: (%d, %d, %d, %d) cls: %s conf: %f\t", helmet_cnt, helmet_detect_info.obj[helmet_cnt].x1,
helmet_detect_info.obj[helmet_cnt].y1, helmet_detect_info.obj[helmet_cnt].x2,
helmet_detect_info.obj[helmet_cnt].y2, labels[helmet_detect_info.obj[helmet_cnt].class_id],
helmet_detect_info.obj[helmet_cnt].prob);
}
if (0 != helmet_detect_info.obj_number) {
printf("\n");
}
lcd_draw_picture(0, 0, (uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0], (unsigned int *)showbuffer);
#endif
usleep(1);
if (1 == if_exit) {
if_exit = 0;
printf("thread_helmet_detect_entry exit");
pthread_exit(NULL);
}
}
}
void helmet_detect_delete()
{
if (showbuffer != NULL) {
int ret = 0;
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
printf("helmet detect task cancel!!! ret %d ", ret);
if_exit = 1;
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(helmet_detect_delete, helmet detect task delete);
#endif
void kmodel_load(unsigned char *model_data)
{
int kmodel_fd = 0;
int size = 0;
kmodel_fd = open(kmodel_path, O_RDONLY);
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
if (kmodel_fd >= 0) {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
} else {
printf("read kmodel success");
}
} else {
free(model_data);
printf("open kmodel fail");
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(kmodel_load, kmodel load memory);
#endif

12
APP_Framework/Applications/knowing_app/image_processing/Kconfig
View File

@@ -1,6 +1,6 @@
menuconfig USING_IMAGE_PROCESSING_APP
bool "image processing app "
default n
if USING_IMAGE_PROCESSING_APP
source "$APP_DIR/Applications/knowing_app/image_processing/TJpgDec_APP/Kconfig"
endif
menuconfig USING_IMAGE_PROCESSING_APP
bool "image processing app "
default n
if USING_IMAGE_PROCESSING_APP
source "$APP_DIR/Applications/knowing_app/image_processing/TJpgDec_APP/Kconfig"
endif

8
APP_Framework/Applications/knowing_app/image_processing/TJpgDec_APP/Kconfig
View File

@@ -1,4 +1,4 @@
config IMAGE_PROCESSING_TJPGDEC_APP
bool "image processing apps/TJpgDec(example)"
select IMAGE_PROCESSING_USING_TJPGD
default n
config IMAGE_PROCESSING_TJPGDEC_APP
bool "image processing apps/TJpgDec(example)"
select IMAGE_PROCESSING_USING_TJPGD
default n

8
APP_Framework/Applications/knowing_app/instrusion_detect/Kconfig
View File

@@ -1,8 +0,0 @@
config INSTRUSION_DETECT
bool "enable apps/instrusion detect"
depends on BOARD_K210_EVB
depends on DRV_USING_OV2640
depends on USING_KPU_POSTPROCESSING
depends on USING_YOLOV2
select LIB_USING_CJSON
default n

5
APP_Framework/Applications/knowing_app/instrusion_detect/README.md
View File

@@ -1,5 +0,0 @@
# Instrusion detect demo
### A human object detection task demo. Running MobileNet-yolo on K210-based edge devices.
***Training, deployment and running, please see helmet_detect***

9
APP_Framework/Applications/knowing_app/instrusion_detect/SConscript
View File

@@ -1,9 +0,0 @@
from building import *
cwd = GetCurrentDir()
src = Glob('*.c') + Glob('*.cpp')
CPPPATH = [cwd]
group = DefineGroup('Applications', src, depend = ['INSTRUSION_DETECT'], LOCAL_CPPPATH = CPPPATH)
Return('group')

390
APP_Framework/Applications/knowing_app/instrusion_detect/instrusion_detect.c
View File

@@ -1,390 +0,0 @@
#include <transform.h>
#include <unistd.h>
#ifdef LIB_USING_CJSON
#include <cJSON.h>
#endif
#include "region_layer.h"
#define ANCHOR_NUM 5
#define STACK_SIZE (128 * 1024)
#define JSON_FILE_PATH "/kmodel/human.json"
#define JSON_BUFFER_SIZE (4 * 1024)
static dmac_channel_number_t dma_ch = DMAC_CHANNEL_MAX;
extern void lcd_show_image(int x, int y, int wide, int height,const rt_uint8_t *buf);
// params from json
static float anchor[ANCHOR_NUM * 2] = {};
static int net_output_shape[3] = {};
static int net_input_size[2] = {};
static int sensor_output_size[2] = {};
static char kmodel_path[127] = "";
static int kmodel_size = 0;
static float obj_thresh[20] = {};
static float nms_thresh = 0.0;
static char labels[20][32] = {};
static int class_num = 0;
#define THREAD_PRIORITY_HUMAN_D (11)
static pthread_t instrusiontid = 0;
static void *thread_instrusion_detect_entry(void *parameter);
static int g_fd = 0;
static int kmodel_fd = 0;
static int if_exit = 0;
static unsigned char *showbuffer = NULL;
static unsigned char *kpurgbbuffer = NULL;
static _ioctl_shoot_para shoot_para_t = {0};
unsigned char *model_data = NULL; // kpu data load memory
unsigned char *model_data_align = NULL;
kpu_model_context_t instrusion_detect_task;
static region_layer_t instrusion_detect_rl;
static obj_info_t instrusion_detect_info;
volatile uint32_t g_ai_done_flag;
static void ai_done(void *ctx) { g_ai_done_flag = 1; }
static void param_parse()
{
int fin;
char buffer[JSON_BUFFER_SIZE] = "";
// char *buffer;
// if (NULL != (buffer = (char*)malloc(JSON_BUFFER_SIZE * sizeof(char)))) {
// memset(buffer, 0, JSON_BUFFER_SIZE * sizeof(char));
// } else {
// printf("Json buffer malloc failed!");
// exit(-1);
// }
int array_size;
cJSON *json_obj;
cJSON *json_item;
cJSON *json_array_item;
fin = open(JSON_FILE_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", JSON_FILE_PATH);
exit(-1);
}
read(fin, buffer, sizeof(buffer));
close(fin);
// read json string
json_obj = cJSON_Parse(buffer);
// free(buffer);
char *json_print_str = cJSON_Print(json_obj);
printf("Json file content: \n%s\n", json_print_str);
cJSON_free(json_print_str);
// get anchors
json_item = cJSON_GetObjectItem(json_obj, "anchors");
array_size = cJSON_GetArraySize(json_item);
if (ANCHOR_NUM * 2 != array_size) {
printf("Expect anchor size: %d, got %d in json file", ANCHOR_NUM * 2, array_size);
exit(-1);
} else {
printf("Got %d anchors from json file\n", ANCHOR_NUM);
}
for (int i = 0; i < ANCHOR_NUM * 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
anchor[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, anchor[i]);
}
// net_input_size
json_item = cJSON_GetObjectItem(json_obj, "net_input_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect net_input_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d net_input_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_input_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_input_size[i]);
}
// net_output_shape
json_item = cJSON_GetObjectItem(json_obj, "net_output_shape");
array_size = cJSON_GetArraySize(json_item);
if (3 != array_size) {
printf("Expect net_output_shape: %d, got %d in json file", 3, array_size);
exit(-1);
} else {
printf("Got %d net_output_shape from json file\n", 3);
}
for (int i = 0; i < 3; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_output_shape[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_output_shape[i]);
}
// sensor_output_size
json_item = cJSON_GetObjectItem(json_obj, "sensor_output_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect sensor_output_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d sensor_output_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
sensor_output_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, sensor_output_size[i]);
}
// kmodel_path
json_item = cJSON_GetObjectItem(json_obj, "kmodel_path");
memcpy(kmodel_path, json_item->valuestring, strlen(json_item->valuestring));
printf("Got kmodel_path: %s\n", kmodel_path);
// kmodel_size
json_item = cJSON_GetObjectItem(json_obj, "kmodel_size");
kmodel_size = json_item->valueint;
printf("Got kmodel_size: %d\n", kmodel_size);
// labels
json_item = cJSON_GetObjectItem(json_obj, "labels");
class_num = cJSON_GetArraySize(json_item);
if (0 >= class_num) {
printf("No labels!");
exit(-1);
} else {
printf("Got %d labels\n", class_num);
}
for (int i = 0; i < class_num; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
memcpy(labels[i], json_array_item->valuestring, strlen(json_array_item->valuestring));
printf("%d: %s\n", i, labels[i]);
}
// obj_thresh
json_item = cJSON_GetObjectItem(json_obj, "obj_thresh");
array_size = cJSON_GetArraySize(json_item);
if (class_num != array_size) {
printf("label number and thresh number mismatch! label number : %d, obj thresh number %d", class_num, array_size);
exit(-1);
} else {
printf("Got %d obj_thresh\n", array_size);
}
for (int i = 0; i < array_size; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
obj_thresh[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, obj_thresh[i]);
}
// nms_thresh
json_item = cJSON_GetObjectItem(json_obj, "nms_thresh");
nms_thresh = json_item->valuedouble;
printf("Got nms_thresh: %f\n", nms_thresh);
cJSON_Delete(json_obj);
return;
}
void instrusion_detect()
{
int ret = 0;
int result = 0;
int size = 0;
param_parse();
g_fd = open("/dev/ov2640", O_RDONLY);
if (g_fd < 0) {
printf("open ov2640 fail !!");
return;
}
_ioctl_set_dvp_reso set_dvp_reso = {sensor_output_size[1], sensor_output_size[0]};
ioctl(g_fd, IOCTRL_CAMERA_SET_DVP_RESO, &set_dvp_reso);
showbuffer = (unsigned char *)rt_malloc_align(sensor_output_size[0] * sensor_output_size[1] * 2,64);
if (NULL == showbuffer) {
close(g_fd);
printf("showbuffer apply memory fail !!");
return;
}
kpurgbbuffer = (unsigned char *)rt_malloc_align(net_input_size[0] * net_input_size[1] * 3,64);
if (NULL == kpurgbbuffer) {
close(g_fd);
rt_free_align(showbuffer);
printf("kpurgbbuffer apply memory fail !!");
return;
}
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
rt_free_align(showbuffer);
rt_free_align(kpurgbbuffer);
close(g_fd);
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
memset(showbuffer, 0, sensor_output_size[0] * sensor_output_size[1] * 2);
memset(kpurgbbuffer, 127, net_input_size[0] * net_input_size[1] * 3);
shoot_para_t.pdata = (unsigned int *)(showbuffer);
shoot_para_t.length = (size_t)(sensor_output_size[0] * sensor_output_size[1] * 2);
/*
load memory
*/
kmodel_fd = open(kmodel_path, O_RDONLY);
if (kmodel_fd < 0) {
printf("open kmodel fail");
close(g_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
printf("read kmodel success \n");
}
}
unsigned char *model_data_align = (unsigned char *)(((unsigned int)model_data + 255) & (~255));
dvp_set_ai_addr((uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0])),
(uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0]) +
net_input_size[0] * net_input_size[1]),
(uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1] * 2 +
net_input_size[1] * (net_input_size[0] - sensor_output_size[0])));
if (kpu_load_kmodel(&instrusion_detect_task, model_data_align) != 0) {
printf("\nmodel init error\n");
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
}
instrusion_detect_rl.anchor_number = ANCHOR_NUM;
instrusion_detect_rl.anchor = anchor;
instrusion_detect_rl.threshold = malloc(class_num * sizeof(float));
for (int idx = 0; idx < class_num; idx++) {
instrusion_detect_rl.threshold[idx] = obj_thresh[idx];
}
instrusion_detect_rl.nms_value = nms_thresh;
result = region_layer_init(&instrusion_detect_rl, net_output_shape[0], net_output_shape[1], net_output_shape[2],
net_input_size[1], net_input_size[0]);
printf("region_layer_init result %d \n\r", result);
size_t stack_size = STACK_SIZE;
pthread_attr_t attr; /* 线程属性 */
struct sched_param prio; /* 线程优先级 */
prio.sched_priority = 8; /* 优先级设置为 8 */
pthread_attr_init(&attr); /* 先使用默认值初始化属性 */
pthread_attr_setschedparam(&attr, &prio); /* 修改属性对应的优先级 */
pthread_attr_setstacksize(&attr, stack_size);
/* 创建线程 1, 属性为 attr，入口函数是 thread_entry，入口函数参数是 1 */
result = pthread_create(&instrusiontid, &attr, thread_instrusion_detect_entry, NULL);
if (0 == result) {
printf("thread_instrusion_detect_entry successfully!\n");
} else {
printf("thread_instrusion_detect_entry failed! error code is %d\n", result);
close(g_fd);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(instrusion_detect, instrusion detect task);
#endif
extern void lcd_draw_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t * ptr);
extern void lcd_show_image(int x, int y, int wide, int height,const rt_uint8_t *buf);
extern void lcd_draw_16_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t * ptr);
static void *thread_instrusion_detect_entry(void *parameter)
{
printf("thread_instrusion_detect_entry start!\n");
int ret = 0;
// sysctl_enable_irq();
while (1) {
// memset(showbuffer,0,320*240*2);
g_ai_done_flag = 0;
ret = ioctl(g_fd, IOCTRL_CAMERA_START_SHOT, &shoot_para_t);
if (RT_ERROR == ret) {
printf("ov2640 can't wait event flag");
rt_free(showbuffer);
close(g_fd);
pthread_exit(NULL);
return NULL;
}
if (dmalock_sync_take(&dma_ch, 2000))
{
printf("Fail to take DMA channel");
}
kpu_run_kmodel(&instrusion_detect_task, kpurgbbuffer, DMAC_CHANNEL5, ai_done, NULL);
while (!g_ai_done_flag)
;
dmalock_release(dma_ch);
float *output;
size_t output_size;
kpu_get_output(&instrusion_detect_task, 0, (uint8_t **)&output, &output_size);
instrusion_detect_rl.input = output;
region_layer_run(&instrusion_detect_rl, &instrusion_detect_info);
/* display result */
for (int instrusion_cnt = 0; instrusion_cnt < instrusion_detect_info.obj_number; instrusion_cnt++)
{
draw_edge((uint32_t *)showbuffer, &instrusion_detect_info, instrusion_cnt, 0xF800,(uint16_t)sensor_output_size[1],(uint16_t)sensor_output_size[0]);
printf("%d: (%d, %d, %d, %d) cls: %s conf: %f\t", instrusion_cnt, instrusion_detect_info.obj[instrusion_cnt].x1,
instrusion_detect_info.obj[instrusion_cnt].y1, instrusion_detect_info.obj[instrusion_cnt].x2,
instrusion_detect_info.obj[instrusion_cnt].y2, labels[instrusion_detect_info.obj[instrusion_cnt].class_id],
instrusion_detect_info.obj[instrusion_cnt].prob);
}
#ifdef BSP_USING_LCD
//lcd_show_image(0, 0,(uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0],(unsigned int *)showbuffer);
lcd_draw_picture(0, 0, (uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0], (uint32_t *)showbuffer);
#endif
if (0 != instrusion_detect_info.obj_number) {
printf("\n");
}
usleep(1);
if (1 == if_exit) {
if_exit = 0;
printf("thread_instrusion_detect_entry exit");
pthread_exit(NULL);
}
}
}
void instrusion_detect_delete()
{
if (showbuffer != NULL) {
int ret = 0;
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
printf("instrusion detect task cancel!!! ret %d ", ret);
if_exit = 1;
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(instrusion_detect_delete, instrusion detect task delete);
#endif
void kmodel_load(unsigned char *model_data)
{
int kmodel_fd = 0;
int size = 0;
kmodel_fd = open(kmodel_path, O_RDONLY);
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
if (kmodel_fd >= 0) {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
} else {
printf("read kmodel success");
}
} else {
free(model_data);
printf("open kmodel fail");
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(kmodel_load, kmodel load memory);
#endif

3
APP_Framework/Applications/knowing_app/iris_ml_demo/iris_ml_demo.c
View File

@@ -19,7 +19,8 @@ void simple_CSV_read()
fin = open(CSV_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", CSV_PATH);
exit(-1);
// exit(-1);
return;
}
read(fin, buffer, sizeof(buffer));
close(fin);

10
APP_Framework/Applications/knowing_app/k210_detect_entry/Kconfig Normal file
View File

@@ -0,0 +1,10 @@
config K210_DETECT_ENTRY
bool "enable apps/k210 yolov2 detect entry"
depends on BOARD_K210_EVB
depends on DRV_USING_OV2640
depends on USING_KPU_PROCESSING
depends on USING_YOLOV2
depends on USING_YOLOV2_JSONPARSER
depends on USING_K210_YOLOV2_DETECT
select LIB_USING_CJSON
default n

0
APP_Framework/Applications/knowing_app/face_detect/README.md → APP_Framework/Applications/knowing_app/k210_detect_entry/README.md
View File

2
APP_Framework/Applications/knowing_app/helmet_detect/SConscript → APP_Framework/Applications/knowing_app/k210_detect_entry/SConscript
View File

@@ -4,6 +4,6 @@ cwd = GetCurrentDir()
src = Glob('*.c') + Glob('*.cpp')
CPPPATH = [cwd]
group = DefineGroup('Applications', src, depend = ['HELMET_DETECT'], LOCAL_CPPPATH = CPPPATH)
group = DefineGroup('Applications', src, depend = ['USING_K210_YOLOV2_DETECT'], LOCAL_CPPPATH = CPPPATH)
Return('group')

1
APP_Framework/Applications/knowing_app/face_detect/detect.json → APP_Framework/Applications/knowing_app/k210_detect_entry/face.json
View File

@@ -24,7 +24,6 @@
6.718375,
9.01025
],
"kmodel_path": "/kmodel/detect.kmodel",
"kmodel_size": 388776,
"obj_thresh": [
0.7

0
APP_Framework/Applications/knowing_app/face_detect/detect.kmodel → APP_Framework/Applications/knowing_app/k210_detect_entry/face.kmodel
View File

3
APP_Framework/Applications/knowing_app/helmet_detect/helmet.json → APP_Framework/Applications/knowing_app/k210_detect_entry/helmet.json
View File

@@ -24,11 +24,10 @@
2.1128,
3.184
],
"kmodel_path": "/kmodel/helmet.kmodel",
"kmodel_size": 2714044,
"obj_thresh": [
0.7,
0.9
0.99
],
"labels": [
"head",

0
APP_Framework/Applications/knowing_app/helmet_detect/helmet.kmodel → APP_Framework/Applications/knowing_app/k210_detect_entry/helmet.kmodel
View File

1
APP_Framework/Applications/knowing_app/instrusion_detect/human.json → APP_Framework/Applications/knowing_app/k210_detect_entry/instrusion.json
View File

@@ -24,7 +24,6 @@
2.049,
4.6711
],
"kmodel_path": "/kmodel/human.kmodel",
"kmodel_size": 2713236,
"obj_thresh": [
0.7

0
APP_Framework/Applications/knowing_app/instrusion_detect/human.kmodel → APP_Framework/Applications/knowing_app/k210_detect_entry/instrusion.kmodel
View File

16
APP_Framework/Applications/knowing_app/k210_detect_entry/k210_detect_entry.c Normal file
View File

@@ -0,0 +1,16 @@
#include "k210_yolov2_detect.h"
static void detect_app(int argc, char *argv[])
{
if (2 != argc) {
printf("Usage: detect_app <ABSOLUTE_CONFIG_JSON_PATH>");
} else {
k210_detect(argv[1]);
}
return;
}
// clang-format off
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(detect_app, k210 detect app usage: detect_app <ABSOLUTE_CONFIG_JSON_PATH>);
#endif
// clang-format on

49
APP_Framework/Applications/sensor_app/Kconfig
View File

@@ -65,6 +65,26 @@ menu "sensor app"
default n
endif
menuconfig APPLICATION_SENSOR_PM2_5
bool "Using sensor PM2.5 apps"
default n
if APPLICATION_SENSOR_PM2_5
config APPLICATION_SENSOR_PM2_5_PS5308
bool "Using sensor PS5308 apps"
default n
endif
menuconfig APPLICATION_SENSOR_PM10
bool "Using sensor PM10 apps"
default n
if APPLICATION_SENSOR_PM10
config APPLICATION_SENSOR_PM10_PS5308
bool "Using sensor PS5308 apps"
default n
endif
menuconfig APPLICATION_SENSOR_VOICE
bool "Using sensor voice apps"
default n
@@ -75,16 +95,6 @@ menu "sensor app"
default n
endif
menuconfig APPLICATION_SENSOR_HUMIDITY
bool "Using sensor humidity apps"
default n
if APPLICATION_SENSOR_HUMIDITY
config APPLICATION_SENSOR_HUMIDITY_HS300X
bool "Using sensor HS300x apps"
default n
endif
menuconfig APPLICATION_SENSOR_TEMPERATURE
bool "Using sensor temperature apps"
default n
@@ -93,7 +103,26 @@ menu "sensor app"
config APPLICATION_SENSOR_TEMPERATURE_HS300X
bool "Using sensor HS300x apps"
default n
if ADD_NUTTX_FETURES
endif
endif
menuconfig APPLICATION_SENSOR_HUMIDITY
bool "Using sensor humidity apps"
default n
if APPLICATION_SENSOR_HUMIDITY
config APPLICATION_SENSOR_HUMIDITY_HS300X
bool "Using sensor HS300x apps"
default n
if ADD_NUTTX_FETURES
endif
endif
endif
endmenu

6
APP_Framework/Applications/sensor_app/Make.defs Normal file
View File

@@ -0,0 +1,6 @@
############################################################################
# APP_Framework/Applications/sensor_app/Make.defs
############################################################################
ifneq ($(CONFIG_APPLICATION_SENSOR),)
CONFIGURED_APPS += $(APPDIR)/../../../APP_Framework/Applications/sensor_app
endif

120
APP_Framework/Applications/sensor_app/Makefile
View File

@@ -1,39 +1,103 @@
SRC_FILES :=
include $(KERNEL_ROOT)/.config
ifeq ($(CONFIG_ADD_NUTTX_FETURES),y)
include $(APPDIR)/Make.defs
ifeq ($(CONFIG_APPLICATION_SENSOR_HCHO_TB600B_WQ_HCHO1OS), y)
CSRCS += hcho_tb600b_wq_hcho1os.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_TVOC_TB600B_TVOC10), y)
CSRCS += tvoc_tb600b_tvoc10.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_IAQ_TB600B_IAQ10), y)
CSRCS += iaq_tb600b_iaq10.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_CH4_AS830), y)
CSRCS += ch4_as830.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_CO2_ZG09), y)
CSRCS += co2_zg09.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_PM1_0_PS5308), y)
CSRCS += pm1_0_ps5308.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_PM2_5_PS5308), y)
CSRCS += pm2_5_ps5308.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_PM10_PS5308), y)
CSRCS += pm10_0_ps5308.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_VOICE_D124), y)
CSRCS += voice_d124.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_HUMIDITY_HS300X), y)
CSRCS += humidity_hs300x.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_TEMPERATURE_HS300X), y)
CSRCS += temperature_hs300x.c
endif
include $(APPDIR)/Application.mk
ifeq ($(CONFIG_APPLICATION_SENSOR_HCHO_TB600B_WQ_HCHO1OS), y)
SRC_FILES += hcho_tb600b_wq_hcho1os.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_TVOC_TB600B_TVOC10), y)
SRC_FILES += tvoc_tb600b_tvoc10.c
endif
ifeq ($(CONFIG_ADD_XIUOS_FETURES),y)
SRC_FILES :=
ifeq ($(CONFIG_APPLICATION_SENSOR_IAQ_TB600B_IAQ10), y)
SRC_FILES += iaq_tb600b_iaq10.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_HCHO_TB600B_WQ_HCHO1OS), y)
SRC_FILES += hcho_tb600b_wq_hcho1os.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_CH4_AS830), y)
SRC_FILES += ch4_as830.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_TVOC_TB600B_TVOC10), y)
SRC_FILES += tvoc_tb600b_tvoc10.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_CO2_ZG09), y)
SRC_FILES += co2_zg09.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_IAQ_TB600B_IAQ10), y)
SRC_FILES += iaq_tb600b_iaq10.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_PM1_0_PS5308), y)
SRC_FILES += pm1_0_ps5308.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_CH4_AS830), y)
SRC_FILES += ch4_as830.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_VOICE_D124), y)
SRC_FILES += voice_d124.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_CO2_ZG09), y)
SRC_FILES += co2_zg09.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_HUMIDITY_HS300X), y)
SRC_FILES += humidity_hs300x.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_PM1_0_PS5308), y)
SRC_FILES += pm1_0_ps5308.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_TEMPERATURE_HS300X), y)
SRC_FILES += temperature_hs300x.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_PM2_5_PS5308), y)
SRC_FILES += pm2_5_ps5308.c
endif
include $(KERNEL_ROOT)/compiler.mk
ifeq ($(CONFIG_APPLICATION_SENSOR_PM10_PS5308), y)
SRC_FILES += pm10_0_ps5308.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_VOICE_D124), y)
SRC_FILES += voice_d124.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_HUMIDITY_HS300X), y)
SRC_FILES += humidity_hs300x.c
endif
ifeq ($(CONFIG_APPLICATION_SENSOR_TEMPERATURE_HS300X), y)
SRC_FILES += temperature_hs300x.c
endif
include $(KERNEL_ROOT)/compiler.mk
endif

4
APP_Framework/Applications/sensor_app/co2_zg09.c
View File

@@ -18,7 +18,9 @@
* @date 2021.04.23
*/
#include <user_api.h>
#ifdef ADD_XIUOS_FETURES
# include <user_api.h>
#endif
#include <sensor.h>
/**

5
APP_Framework/Applications/sensor_app/humidity_hs300x.c
View File

@@ -18,7 +18,10 @@
* @date 2021.04.23
*/
#include <user_api.h>
#ifdef ADD_XIUOS_FETURES
# include <user_api.h>
#endif
#include <sensor.h>
/**

38
APP_Framework/Applications/sensor_app/pm10_0_ps5308.c Normal file
View File

@@ -0,0 +1,38 @@
/*
* Copyright (c) 2020 AIIT XUOS Lab
* XiOS is licensed under Mulan PSL v2.
* You can use this software according to the terms and conditions of the Mulan PSL v2.
* You may obtain a copy of Mulan PSL v2 at:
* http://license.coscl.org.cn/MulanPSL2
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
* See the Mulan PSL v2 for more details.
*/
/**
* @file pm1_0_ps5308.c
* @brief PS5308 PM1.0 example
* @version 1.0
* @author AIIT XUOS Lab
* @date 2021.04.23
*/
#ifdef ADD_XIUOS_FETURES
# include <user_api.h>
#endif
#include <sensor.h>
/**
* @description: Read a PM10
* @return 0
*/
void Pm100Ps5308(void)
{
struct SensorQuantity *pm10_0 = SensorQuantityFind(SENSOR_QUANTITY_PS5308_PM10, SENSOR_QUANTITY_PM);
SensorQuantityOpen(pm10_0);
PrivTaskDelay(2000);
printf("PM10 : %d ug/m³\n", SensorQuantityRead(pm10_0));
SensorQuantityClose(pm10_0);
}

5
APP_Framework/Applications/sensor_app/pm1_0_ps5308.c
View File

@@ -18,7 +18,10 @@
* @date 2021.04.23
*/
#include <user_api.h>
#ifdef ADD_XIUOS_FETURES
# include <user_api.h>
#endif
#include <sensor.h>
/**

38
APP_Framework/Applications/sensor_app/pm2_5_ps5308.c Normal file
View File

@@ -0,0 +1,38 @@
/*
* Copyright (c) 2020 AIIT XUOS Lab
* XiOS is licensed under Mulan PSL v2.
* You can use this software according to the terms and conditions of the Mulan PSL v2.
* You may obtain a copy of Mulan PSL v2 at:
* http://license.coscl.org.cn/MulanPSL2
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
* See the Mulan PSL v2 for more details.
*/
/**
* @file pm1_0_ps5308.c
* @brief PS5308 PM1.0 example
* @version 1.0
* @author AIIT XUOS Lab
* @date 2021.04.23
*/
#ifdef ADD_XIUOS_FETURES
# include <user_api.h>
#endif
#include <sensor.h>
/**
* @description: Read a PM2.5
* @return 0
*/
void Pm25Ps5308(void)
{
struct SensorQuantity *pm2_5 = SensorQuantityFind(SENSOR_QUANTITY_PS5308_PM2_5, SENSOR_QUANTITY_PM);
SensorQuantityOpen(pm2_5);
PrivTaskDelay(2000);
printf("PM2.5 : %d ug/m³\n", SensorQuantityRead(pm2_5));
SensorQuantityClose(pm2_5);
}

6
APP_Framework/Applications/sensor_app/temperature_hs300x.c
View File

@@ -18,7 +18,10 @@
* @date 2021.04.23
*/
#include <user_api.h>
#ifdef ADD_XIUOS_FETURES
# include <user_api.h>
#endif
#include <sensor.h>
/**
@@ -43,4 +46,3 @@ void TempHs300x(void)
SensorQuantityClose(temp);
}
SHELL_EXPORT_CMD(SHELL_CMD_PERMISSION(0)|SHELL_CMD_TYPE(SHELL_TYPE_CMD_FUNC)|SHELL_CMD_PARAM_NUM(0)|SHELL_CMD_DISABLE_RETURN, TempHs300x, TempHs300x, TempHs300x function);