目錄附錄附錄A：盲區(qū)檢測模塊核心代碼defbounding_box(outs,area):boxes=[]foroutinouts:class_id=out['category_id']category=out['category']confidence=out['score']x=int(out['bbox'][0])y=int(out['bbox'][1])w=int(out['bbox'][2])h=int(out['bbox'][3])#print(w,h,w*h,area)score=out['score']area1=w*hscale=area1/areaifconfidence>=0.4:ifclass_id==0:#personjudge=1ifscale>=0.002else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==1:#print(class_id,scale,category)judge=1ifscale>=0.005else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==2:#carjudge=2ifscale>=0.04else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==5:#busjudge=2ifscale>=0.06else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==7:#truckjudge=2ifscale>=0.06else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==9:judge=3#trafficlightboxes.append([x,y,w,h,judge,score,category])elifclass_id==11:judge=3#stopsignboxes.append([x,y,w,h,judge,score,category])returnboxesdefoperator(frame):result=model.predict(frame)area=frame.shape[0]*frame.shape[1]boxes=bounding_box(result,area)num=[0,0,0,0]font=cv2.FONT_HERSHEY_SIMPLEXfor(i,(x,y,w,h,judge,ss,cls))inenumerate(boxes):#ifiinindexes:ifjudge==0:color=(0,255,0)elifjudge==1:num[0]+=1color=(0,0,255)elifjudge==2:num[1]+=1color=(0,0,255)elifjudge==3:num[2]+=1color=(0,255,0)cv2.rectangle(frame,(x,y-10),(x+90,y),color,-1)cv2.rectangle(frame,(x,y),(x+w,y+h),color,2)cv2.putText(frame,'{:s}{:.3f}'.format(cls,ss),(x,y),font,0.5,(255,255,255),thickness=2)returnframe,num附錄B：預(yù)碰撞檢測模塊核心代碼defbounding_box(outs,area):boxes=[]foroutinouts:class_id=out['category_id']category=out['category']confidence=out['score']x=int(out['bbox'][0])y=int(out['bbox'][1])w=int(out['bbox'][2])h=int(out['bbox'][3])#print(w,h,w*h,area)score=out['score']area1=w*hscale=area1/areaifconfidence>=0.4:ifclass_id==0:#personjudge=1ifscale>=0.002else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==1:#print(class_id,scale,category)judge=1ifscale>=0.005else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==2:#carjudge=2ifscale>=0.04else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==5:#busjudge=2ifscale>=0.06else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==7:#truckjudge=2ifscale>=0.06else0boxes.append([x,y,w,h,judge,score,category])elifclass_id==9:judge=3#trafficlightboxes.append([x,y,w,h,judge,score,category])elifclass_id==11:judge=3#stopsignboxes.append([x,y,w,h,judge,score,category])returnboxesdefoperator(frame):result=model.predict(frame)area=frame.shape[0]*frame.shape[1]boxes=bounding_box(result,area)num=[0,0,0,0]font=cv2.FONT_HERSHEY_SIMPLEXfor(i,(x,y,w,h,judge,ss,cls))inenumerate(boxes):#ifiinindexes:ifjudge==0:color=(0,255,0)elifjudge==1:num[0]+=1color=(0,0,255)elifjudge==2:num[1]+=1color=(0,0,255)elifjudge==3:num[2]+=1color=(0,255,0)cv2.rectangle(frame,(x,y-10),(x+90,y),color,-1)cv2.rectangle(frame,(x,y),(x+w,y+h),color,2)cv2.putText(frame,'{:s}{:.3f}'.format(cls,ss),(x,y),font,0.5,(255,255,255),thickness=2)returnframe,numclassmyapp(QtWidgets.QMainWindow,Ui_MainWindow):def__init__(self,parent=None):super(myapp,self).__init__(parent)self.setupUi(self)#車外檢測self.cap=cv2.VideoCapture(r'C:\\Users\\19269\\Desktop\\sx\\1(1).mp4')#車內(nèi)檢測#self.cap=cv2.VideoCapture(0)self.timer_camera=QtCore.QTimer()#self.pushButton.clicked.connect(self.judge)self.label_30.connect_customized_slot(self.judge)self.timer_camera.timeout.connect(self.show_single)self.start_time=datetime.datetime.now()self.nowminute=0self.nowsecond=0defjudge(self):print(self.timer_camera.isActive())ifnotself.timer_camera.isActive():self.timer_camera.start(30)#self.pushButton.setVisible(False)self.label_29.setHidden(True)self.label_30.setHidden(True)self.label_12.setHidden(False)self.label_14.setHidden(False)self.label_16.setHidden(False)self.label_18.setHidden(False)self.label_20.setHidden(False)self.label_28.setHidden(False)self.label_2.setHidden(False)else:self.timer_camera.stop()self.label.clear()self.pushButton.setText('啟動(dòng)程序')附錄C：實(shí)時(shí)健康檢測模塊核心代碼classDriver_Status():def__init__(self,frame):#cv2.imshow('img',images)#cv2.waitKey(0)self.frame=frame[np.newaxis,:]self.modulehub.Module(directory=r"C:\Users\conda\Desktop\DriverStatusRecognition")self.dicts={'ch0':'nomal','ch1':'texting-right','ch2':'talkingonthephone-right','ch3':'texting-left','ch4':'talkingonthephone-left','ch5':'operatingtheradio','ch6':'drinking','ch7':'reachingbehind','ch8':'hairandmakeup','ch9':'talkingtopassenger'}defprocess(self):results=self.module.predict(images=self.frame)returnself.dicts[results[0][0]['category']]附錄D：定位導(dǎo)航模塊核心代碼Map=folium.Map(location=[34.2634,109.0432],zoom_start=16,control_scale=True,tiles='/appmaptile?lang=zh_cn&size=1&scale=1&style=7&x={x}&y={y}&z={z}',attr='default')Map.add_child(folium.LatLngPopup())#顯示鼠標(biāo)點(diǎn)擊點(diǎn)經(jīng)緯度Map.add_child(folium.ClickForMarker(popup='Waypoint'))#將鼠標(biāo)點(diǎn)擊點(diǎn)添加到地圖上#標(biāo)記一個(gè)實(shí)心圓folium.CircleMarker(location=[34.2634,109.0432],radius=1,popup='popup',color='#DC143C',#圈的顏色fill=True,fill_color='#6495E'#填充顏色).add_to(Map)Map.save("save_map.html")classmap_MainWindow(QtWidgets.QMainWindow):def__init__(self,parent=None):super(map_MainWindow,self).__init__(parent)self.setWindowTitle('地圖顯示')self.resize(1000,640)#新建一個(gè)QWebEngineView()對象self.qwebengine=QWebEngineView(self)#設(shè)置網(wǎng)頁在窗口中顯示的位置和大小self.qwebengine.setGeometry(20,20,960,600)#在QWebEngineView中加載網(wǎng)址path="file:\\"+os.getcwd()+"\\map.html"path=path.replace('\\','/')self.qwebengine.load(QUrl(path))附錄E：車道線偏離模塊核心代碼classUFLD:'''Ultra-Fast-Lane-DetectionInferenceClassconfig:Theconfigofthemodel,including'model_path','row_anchor','griding_num'and'cls_num_per_lane'mean:Imagepreprocessmeanstd:Imagepreprocessstd'''def__init__(self,config,mean=[0.485,0.456,0.406],std=[0.229,0.224,0.225]):self.griding_num=config['griding_num']self.row_anchor=config['row_anchor']self.cls_num_per_lane=config['cls_num_per_lane']self.mean=meanself.std=stdcol_sample=np.linspace(0,800-1,config['griding_num'])self.col_sample_w=col_sample[1]-col_sample[0]self.idx=(paddle.arange(end=config['griding_num'])+1).reshape((-1,1,1))self.model=paddle.jit.load(path=config['model_path'],model_filename='__model__',params_filename='__params__')self.model.eval()defpreprocess(self,frame):'''preprocesstheframeintothemodelinputframe:Framereturn:Modelinput'''img=cv2.resize(frame,dsize=(800,288),interpolation=cv2.INTER_LINEAR)img=img/255.0img=(img-self.mean)/self.stdimg=img.transpose((2,0,1))img=img[np.newaxis,...]img=paddle.to_tensor(img,dtype='float32')returnimgdefpostprocess(self,frame,result):'''postprocesstheoutputintothevisualresultframe:Frameresult:Modeloutputreturn:visualresult'''result=result[0][:,::-1,:]prob=paddle.nn.functional.softmax(result[:-1,:,:],axis=0)loc=paddle.sum(prob*self.idx,axis=0).numpy()result=paddle.argmax(result,axis=0).numpy()loc[result==self.griding_num]=0foriinrange(loc.shape[1]):ifnp.sum(loc[:,i]!=0)>2:forkinrange(loc.shape[0]):ifloc[k,i]>0:x=int(loc[k,i]*self.col_sample_w*self.width/800)-1y=int(self.height*(self.row_anchor[self.cls_num_per_lane-1-k]/288))-1point=(x,y)cv2.circle(frame,point,5,(255,0,0),-1)returnframedefpredict(frame):Culane={'model_path':'pretrained_models/UFLD_Culane','row_anchor':[121,131,141,150,160,170,180,189,199,209,219,228,238,248,258,267,277,287],'griding_num':200,'cls_num_per_lane':18}ufld=UFLD(config=Culane)inputs=ufld.preprocess(frame)result=ufld.model(inputs)vis=ufld.postprocess(frame,result)returnviscap=cv2.VideoCapture(r'C:\\Users\\19269\\Desktop\\sx\\1(1).mp4')frame_width=int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))frame_height=int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))fps=cap.get(cv2.CAP_PROP_FPS)fourcc=cv2.VideoWriter_fourcc(*'MP4V')out=cv2.VideoWriter('result.mp4',fourcc,fps,(frame_width,frame_height))whileTrue:ret,frame=cap.read()ifret:frame=predict(frame)out.write(frame)ifcv2.waitKey(1)&0xFF==ord('q'):breakelse:breakcap.release()out.release()cv2.destroyAllWindows()附錄F：駕駛報(bào)表模塊核心代碼conn=sqlite3.connect('driving_data.db')now=datetime.now()month_start=datetime(now.year,now.month,1)month_end=datetime(now.year,now.month+1,1)c=conn.cursor()c.execute('SELECT*FROMdriving_dataWHEREtimestampBETWEEN?AND?',(month_start.timestamp(),month_end.timestamp()))records=c.fetchall()to