增加运行项目代码和更改voice文件

src/Guide_stick_system/run/run.py

@@ -0,0 +1,152 @@
+import sys
+import os
+import subprocess
+import time
+import logging
+import glob
+# 设置日志配置，将日志输出到log.txt文件中，并附加运行的时间
+logging.basicConfig(level=logging.INFO,
+                    format='%(asctime)s - %(levelname)s - %(message)s',
+                    filename='/home/pi/Desktop/al/run/log.txt',
+                    filemode='a')
+
+# 添加其他文件夹的路径到sys.path
+sys.path.append('/home/pi/Desktop/voice_assistant')
+sys.path.append('/home/pi/Desktop/Guide_stick_system')
+sys.path.append('/home/pi/Desktop/manage/itt')
+
+import New 
+import wenzi
+import main
+# 设置文件路径
+text_file = "/home/pi/Desktop/manage/demo.txt"
+output_file = "/home/pi/Desktop/Guide_stick_system/run/output.mp3"
+vlc_path = 'vlc'
+remind_path = 'remind.wav'
+error_path = 'error.wav'
+directory = '/home/pi/Desktop/manage/*.txt'
+img_path = '/home/pi/Desktop/manage/img'
+marker = 0 
+consecutive_errors = 0 
+
+def get_latest_message(file_path, marker):
+    try:
+        with open(file_path, "r", encoding="utf-8") as f:
+            f.seek(marker)  # 移动到上次读取的位置
+            latest_message = f.read()
+            new_marker = f.tell()  # 获取新的位置标记
+        return latest_message, new_marker
+    except FileNotFoundError:
+        logging.error(f"文件未找到: {file_path}")
+        return "", 0
+    except PermissionError:
+        logging.error(f"没有权限读取文件: {file_path}")
+        return "", 0
+    except Exception as e:
+        logging.error(f"读取文件时发生错误: {e}")
+        return "", 0
+
+def log_demo_text():
+    if os.path.isfile(text_file):
+        with open(text_file, 'r') as file:
+            text = file.read()
+            logging.info(text)
+    else:
+        logging.error('txt文件不存在')
+        
+def is_file_empty(file_path):
+    return os.path.getsize(file_path) == 0
+
+def is_new_message(file_path, marker):
+    with open(file_path, "r", encoding="utf-8") as f:
+        f.seek(0) 
+        current_message = f.read()
+        current_marker = f.tell()  
+    return current_message != ""
+
+def clear_text_content(file_path):
+    with open(file_path, "w") as file:
+        file.truncate()
+
+def get_latest_txt_filename(directory_path):
+    # 获取目录下所有的 .txt 文件
+    file_list = glob.glob(os.path.join(directory_path, '*.txt'))
+
+    # 如果文件列表不为空
+    if file_list:
+        # 按修改时间排序，获取最新的文件
+        latest_file = max(file_list, key=os.path.getmtime)
+        return latest_file
+    else:
+        logging.error("没有找到 .txt 文件")
+        return None
+    
+def main():
+    wenzi.ensure_pytesseract_installed()  
+    wenzi.ensure_tesseract_executable_configured()
+
+    while True:
+        try:
+            # 初始化检测器
+            config = main.load_config()
+            detector = main.initialize_detector(config)
+            if detector is None:
+                return
+
+            # 检测图像中的对象
+            img_path = main.config['img_path']
+            detections = main.detect_objects(detector, img_path)
+            
+            # 可视化结果
+            main.visualize_results(img_path, detections)
+
+            #图像转文本
+            if not os.path.exists(img_path):  
+                logging.error(f"图片 {img_path} 不存在，等待下一张...")  
+                time.sleep(1)  
+                continue  
+            text = wenzi.image_to_text(img_path)  
+            if text:  
+                with open(text_file, 'w', encoding='utf-8') as file:  
+                    file.write(text)  
+                logging.info(f"图片的识别结果已保存到 {text_file}")  
+            else:  
+                logging.info(f"无法识别图片中的文字。")  
+            
+            #读取文本信息
+            content =  get_latest_txt_filename(directory)
+            if content:
+                logging.info(content)
+            latest_message, marker = get_latest_message(content, marker)
+            if is_file_empty(text_file):
+                time.sleep(2)
+                continue
+
+            #文本转语音
+            log_demo_text()
+            logging.info(f"转换文本到语音: {text_file}")
+            New.text_to_speech(latest_message, output_file)
+            logging.info(f"语音文件已生成: {output_file}")
+            clear_text_content(text_file)
+            logging.info(f"播放音频文件: {remind_path}")
+            subprocess.call([vlc_path, '--play-and-exit', remind_path])
+            time.sleep(1)
+            logging.info(f"播放音频文件: {output_file}")
+            subprocess.call([vlc_path, '--play-and-exit', output_file])
+            time.sleep(1)
+            marker = 0  
+            consecutive_errors = 0
+            pass
+            
+        except Exception as e:
+            logging.error(f"发生错误: {e}")
+            time.sleep(1)
+            consecutive_errors += 1
+            time.sleep(1)
+            if consecutive_errors >= 3:  
+                logging.info(f"播放音频文件: {error_path}")
+                subprocess.call([vlc_path, '--play-and-exit', error_path])
+                consecutive_errors = 0  
+
+if __name__ == "__main__":  
+    main()

src/Guide_stick_system/run/run.sh

@@ -0,0 +1,2 @@
+#!/bin/bash
+/usr/bin/python3 /home/pi/Desktop/al/run.py

src/Guide_stick_system/xfvoice/samples/remind/Makefile

@@ -4,7 +4,7 @@ DIR_INC = ../../include
 DIR_BIN = ../../bin
 DIR_LIB = ../../libs
 
-TARGET	= output
+TARGET	= error
 BIN_TARGET = $(DIR_BIN)/$(TARGET)
 
 CROSS_COMPILE = 

src/Guide_stick_system/xfvoice/samples/remind/remind.c

@@ -1,13 +1,8 @@
-/*
-* 语音合成（Text To Speech，TTS）技术能够自动将任意文字实时转换为连续的
-* 自然语音，是一种能够在任何时间、任何地点，向任何人提供语音信息服务的
-* 高效便捷手段，非常符合信息时代海量数据、动态更新和个性化查询的需求。
-*/
-#include <string.h>
 #include <stdlib.h>
 #include <stdio.h>
 #include <unistd.h>
 #include <errno.h>
+#include <string.h>
 #include "../../include/qtts.h"
 #include "../../include/msp_cmn.h"
 #include "../../include/msp_errors.h"
@@ -147,8 +142,8 @@ int main(int argc, char* argv[])
 	*
 	*/
 	const char* session_begin_params = "engine_type = local,voice_name=xiaoyan, text_encoding = UTF8, tts_res_path = fo|res/tts/xiaoyan.jet;fo|res/tts/common.jet, sample_rate = 16000, speed = 50, volume = 50, pitch = 50, rdn = 2";
-	const char* filename             = "output.wav"; //合成的语音文件名称
+	const char* filename = 			   "/home/pi/Desktop/al/error.wav"; //合成的语音文件名称
-	const char* text                 = "欢迎使用轻便型导盲杖，此产品主要适用于盲人，为盲人出行进行安全的指导，解决盲人出现问题"; //合成文本
+	const char* text                 = " 程序发生错误。"; //合成文本
 	/* 用户登录 */
 	ret = MSPLogin(NULL, NULL, login_params); //第一个参数是用户名，第二个参数是密码，第三个参数是登录参数，用户名和密码可在http://www.xfyun.cn注册获取
 	if (MSP_SUCCESS != ret)
@@ -157,12 +152,6 @@ int main(int argc, char* argv[])
 		goto exit ;//登录失败，退出登录
 	}
 
-	printf("\n###########################################################################\n");
-	printf("## 语音合成（Text To Speech，TTS）技术能够自动将任意文字实时转换为连续的 ##\n");
-	printf("## 自然语音，是一种能够在任何时间、任何地点，向任何人提供语音信息服务的  ##\n");
-	printf("## 高效便捷手段，非常符合信息时代海量数据、动态更新和个性化查询的需求。  ##\n");
-	printf("###########################################################################\n\n");
-
 	/* 文本合成 */
 	printf("开始合成 ...\n");
 	ret = text_to_speech(text, filename, session_begin_params);
@@ -173,12 +162,6 @@ int main(int argc, char* argv[])
 	printf("合成完毕\n");
 
 exit:
-	printf("###########################################################################\n\n");
-	printf("###########################################################################\n\n");
-	printf("###########################################################################\n\n");
-	printf("###########################################################################\n\n");
-	printf("按任意键退出 ...\n");
-	getchar();
 	MSPLogout(); //退出登录
 
 	return 0;