EMC/app/api/api.py

from api.model.model import PicoDet
import time
import cv2
import json
import datetime
import  os
import sys
from utils.utils import send_notifycation

def getFile(ruleFile):
    if getattr(sys, 'frozen', False):
        absPath = os.path.dirname(os.path.abspath(sys.executable))
    elif __file__:
        absPath = os.path.dirname(os.path.abspath(__file__))
    else:
        absPath = ''
    return os.path.join(absPath,ruleFile)


def get_settings_status_name(data, settings,setting_name):
    # 访问指定 "setting" 的信息
    for setting in data[settings]:
        if setting["name"] == setting_name:
            # 使用 filter() 和 map() 函数提取信息
            names = list(map(lambda x: x["name"], filter(lambda x: x["status"], setting["status"])))
            return names[0]
def get_setting_status(data, settings,setting_name):
    # 使用 filter() 和 map() 函数提取信息
    status = list(map(lambda x: x["status"], filter(lambda x: x["name"] == setting_name, data[settings])))
    return status[0]

def get_photo(cap):
    # cap = cv2.VideoCapture(0)           # 开启摄像头
    f, frame = cap.read()               # 将摄像头中的一帧图片数据保存
    return frame
    # print('开始咯！')
    # while cv2.waitKey(1)==-1:
    # #计时
def get_photo_detect(cap,net):
    '''
    输入{图像,网络模型}，输出[预测时间,预测结果]
    '''
    result = net.detect_img(get_photo(cap),show_result=False)
    return result
def get_photo_detect_img(cap,net):
    '''
    输入{图像,网络模型}，输出[预测时间,预测图片]
    '''
    start = time.time()
    [result,img] = net.detect_img(get_photo(cap),show_result=True)
    # cv2.imshow('Video Cam', result)
    # # print(result)
    end = time.time()
    # print('time:',end-start)
    # cap.release()                       # 关闭摄像头
    # # cv2.destroyAllWindows()
    return [end-start,result,img]
def get_photo_base64(cap):
    import base64
    # import numpy as np
    img = get_photo(cap)
    image = cv2.imencode('.jpg',img)[1]
    image_code = str(base64.b64encode(image))[2:-1]
    return image_code
def mat2base64(frame):
    import base64
    # import numpy as np
    image = cv2.imencode('.jpg',frame)[1]
    image_code = str(base64.b64encode(image))[2:-1]
    return image_code

class API:
    '''本地API，供前端JS调用'''
    window = None
    net = None
    cap = None
    args = None


    def __init__(self):
        with open(getFile("config.json"),'r',encoding='utf8')as fp:
            self.args = json.load(fp)

        self.net = PicoDet(
            get_settings_status_name(self.args,"ModelSetting","模型版本设置"),
            self.args['classfile'],
            prob_threshold=float(get_setting_status(self.args,"ModelSetting",'confThreshold')),
            iou_threshold=float(get_setting_status(self.args,"ModelSetting",'nmsThreshold')))

        # net.detect_folder(args['img_fold'], args['result_fold'])

        # 调用摄像头拍摄照片
        self.cap = cv2.VideoCapture(0)           # 开启摄像头
        
        # cv2.namedWindow('Video Cam', cv2.WINDOW_NORMAL)
        if(self.args['toggle'] and self.args['tip']):
            send_notifycation("功能触发：鼠标悬停","EMC[嘴控]")

    

    def getPrimaryImg(self):
        self.window.evaluate_js('getPythonData()')

        return get_photo_base64(self.cap)

    def getDetectImg(self):
        [time,result,img] = get_photo_detect_img(self.cap,self.net)
        return [time,result,mat2base64(img)]#AttributeError: 'InferenceSession' object has no attribute 'detect'
    def getIndexSetting(self):
        toggle = self.args['toggle']
        tip = self.args['tip']
        control = self.args['control']
        return [toggle,tip,control]
    def getAdvanceSetting(self):
        return [self.args['ControlSetting'], self.args['ModelSetting'], self.args['otherSetting']]
    def changeSetting(self,data):
        self.args.update(data)
        with open(getFile("config.json"),'w',encoding='utf8')as fp:
            json.dump(self.args,fp,ensure_ascii=False,indent=4)