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How to use startVideoCapture method in fMBT

Best Python code snippet using fMBT_python

sift.py

Source:sift.py

...68    logging.info("Thread %s: starting", name)69    videoCapture.run(shouldStop, **kwargs)70    logging.info("Thread %s: finishing", name)71# Starts the video capture72def startVideoCapture(name, **kwargs):73    global videoCaptureThread74    # Check if a video capture thread is already running75    if shouldStop.get() != 0:76        print("startVideoCapture(): Video capture is already running, not starting again")77        return78    # Start the video capture thread79    videoCaptureThread = thread_with_exception.thread_with_exception(name=name, target=videoCaptureThreadFunction, args=(name,), kwargs_=kwargs)80    videoCaptureThread.start()81def onSetVideoCapture(cap):82    customVideoCapture.setOrigVideoCap(cap)83def onFrame(frame):84    customVideoCapture.q.put(frame)85# https://docs.python.org/3/library/argparse.html86parser = argparse.ArgumentParser(description='The bad boy SIFT but implemented in python..')87parser.add_argument('--skip', type=int, nargs='+', default=0,88                    help="initial skip")89parser.add_argument('--show-preview-window', action='store_true', default=False,90                    help='whether to show the preview window')91parser.add_argument('--frameskip', type=int, nargs='+', default=1,92                    help="skip this number of frames after every frame processed")93# --save-first-image --video-file-data-source --video-file-data-source-path Data/fullscale1/Derived/SIFT/output.mp4 --no-sky-detection94parser.add_argument('--save-first-image', action='store_true', default=True,95                    help='whether to save the first image')96parser.add_argument('--video-file-data-source', action='store_true', default=False,97                    help='')98parser.add_argument('--video-file-data-source-path', type=str, nargs='+', default=None,99                    help="")100parser.add_argument('--no-sky-detection', action='store_true', default=False,101                    help='')102videoFilename = None103# https://stackoverflow.com/questions/12834785/having-options-in-argparse-with-a-dash104namespace=parser.parse_args() #vars(parser.parse_args()) # default is from argv but can provide a list here105print(namespace)106showPreviewWindow=namespace.show_preview_window107skip=namespace.skip108frameSkip=namespace.frameskip[0] if isinstance(namespace.frameskip, list) else namespace.frameskip # HACK109shouldRunSkyDetection=not namespace.no_sky_detection110videoFileDataSourcePath=namespace.video_file_data_source_path[0] if isinstance(namespace.video_file_data_source_path, list) else namespace.video_file_data_source_path # HACK111videoFileDataSource = namespace.video_file_data_source112# if videoFileDataSource:113#     forceStop=True114def runOnTheWayDown(capAPI, pSave):115    knn_matcher2.mode = 1116    knn_matcher2.grabMode = 1117    knn_matcher2.shouldRunSkyDetection = shouldRunSkyDetection118    knn_matcher2.shouldRunUndistort = True #False119    knn_matcher2.skip = skip120    knn_matcher2.videoFilename = None121    knn_matcher2.showPreviewWindow = showPreviewWindow122    knn_matcher2.reader = capAPI #capAPI if not videoFileDataSource else cv2.VideoCapture(videoFileDataSourcePath)123    knn_matcher2.frameSkip = frameSkip #40#1#5#10#20124    knn_matcher2.waitAmountStandard = 1 # (Only for showPreviewWindow == True)125    # knn_matcher2.nfeatures = 0126    # knn_matcher2.nOctaveLayers = 9127    # knn_matcher2.contrastThreshold = 0.03128    # knn_matcher2.edgeThreshold = 10129    # knn_matcher2.sigma = 0.8130    131    knn_matcher2.nfeatures = 0132    knn_matcher2.nOctaveLayers = 10133    knn_matcher2.contrastThreshold = 0.02134    knn_matcher2.edgeThreshold = 10135    knn_matcher2.sigma = 0.8136    knn_matcher2.sift = cv2.xfeatures2d.SIFT_create(knn_matcher2.nfeatures, knn_matcher2.nOctaveLayers, knn_matcher2.contrastThreshold, knn_matcher2.edgeThreshold, knn_matcher2.sigma)137    138    rets = knn_matcher2.run(pSave)139    return rets140if __name__ == '__main__':141    name = "SIFT_Cam"142    signal.signal(signal.SIGINT, signal_handler)143    144    now = datetime.now() # current date and time145    date_time = now.strftime("%m_%d_%Y_%H_%M_%S")146    o1=now.strftime("%Y-%m-%d_%H_%M_%S_%Z")147    outputFolderPath=os.path.join('.', 'dataOutput', o1)148    pSave = outputFolderPath149    150    try:151        # NOTE: first image given should match what the sky detector chooses so we re-set firstImage and firstImageFilename here152        if videoFileDataSource:153            capOrig=cv2.VideoCapture(videoFileDataSourcePath)154            startVideoCapture(name, capOrig=capOrig, onFrame=onFrame, fps=capOrig.get(cv2.CAP_PROP_FPS), onSetVideoCapture=onSetVideoCapture, outputFolderPath=pSave)155        else:156            startVideoCapture(name, onFrame=onFrame, fps=5, onSetVideoCapture=onSetVideoCapture, outputFolderPath=pSave)157        158        accMat, w, h, firstImage, firstImageOrig, firstImageFilename = runOnTheWayDown(customVideoCapture159            #cv2.VideoCapture(videoFilename) if videoFileDataSource else customVideoCapture160            , pSave)161    except knn_matcher2.EarlyExitException as e:162        accMat = e.acc163        w=e.w164        h=e.h165        firstImage=e.firstImage...

gui.py

Source:gui.py

...30last_frame1 = np.zeros((480, 640, 3), dtype=np.uint8)31global cap132show_text=[0]33# c:/users/rajus/pycharmprojects/pythonproject/venv/lib/site-packages34def startVideoCapture():35    start = timer()36    cap1 = cv2.VideoCapture(0)37    # width, height = 600, 50038    # cap1.set(cv2.CAP_PROP_FRAME_WIDTH, width)39    # cap1.set(cv2.CAP_PROP_FRAME_HEIGHT, height)40    if not cap1.isOpened():                             41        print("cant open the camera1")42    flag1, frame1 = cap1.read()43    print("capture time"+str(start - timer()))44    frame1 = cv2.resize(frame1,(600,500))45    print("resize time" + str(start - timer()))46    # c:/users/rajus/pycharmprojects/pythonproject/47    bounding_box = cv2.CascadeClassifier('venv/lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')48    gray_frame = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY)49    num_faces = bounding_box.detectMultiScale(gray_frame,scaleFactor=1.3, minNeighbors=5)50    print("bounding box time" + str(start - timer()))51    for (x, y, w, h) in num_faces:52        cv2.rectangle(frame1, (x, y-50), (x+w, y+h+10), (255, 0, 0), 2)53        roi_gray_frame = gray_frame[y:y + h, x:x + w]54        cropped_img = np.expand_dims(np.expand_dims(cv2.resize(roi_gray_frame, (48, 48)), -1), 0)55        print("crop time" + str(start - timer()))56        prediction = emotion_model.predict(cropped_img)57        print("detection time" + str(start - timer()))58        59        maxindex = int(np.argmax(prediction))60        print(emotion_dict[maxindex])61        # cv2.putText(frame1, emotion_dict[maxindex], (x+20, y-60), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2, cv2.LINE_AA)62        show_text[0]=maxindex63    if flag1 is None:64        print("Major error!")65    elif flag1:66        global last_frame167        last_frame1 = frame1.copy()68        pic = cv2.cvtColor(last_frame1, cv2.COLOR_BGR2RGB)     69        img = Image.fromarray(pic)70        imgtk = ImageTk.PhotoImage(image=img)71        lmain.imgtk = imgtk72        lmain.configure(image=imgtk)73        print("paint time 1" + str(start - timer()))74        paintDetectedEmotion()75        print("paint time" + str(start - timer()))76        lmain.after(750, startVideoCapture)77    if cv2.waitKey(1) & 0xFF == ord('q'):78        exit()79def paintDetectedEmotion():80    frame2=cv2.imread(emoji_dist[show_text[0]])81    pic2=cv2.cvtColor(frame2,cv2.COLOR_BGR2RGB)82    img2=Image.fromarray(pic2)83    imgtk2=ImageTk.PhotoImage(image=img2)84    lmain2.imgtk2=imgtk285    lmain3.configure(text=emotion_dict[show_text[0]],font=('arial',45,'bold'))86    lmain2.configure(image=imgtk2)87    # lmain2.after(10, paintDetectedEmotion)88if __name__ == '__main__':89    root=tk.Tk()90    # img = ImageTk.PhotoImage(Image.open("logo.png"))91    # heading = Label(root,image=img,bg='black')92    #93    # heading.pack()94    # heading2=Label(root,text="Photo to Emoji",pady=20, font=('arial',45,'bold'),bg='black',fg='#CDCDCD')95    #96    # heading2.pack()97    lmain = tk.Label(master=root,padx=50,bd=10)98    lmain2 = tk.Label(master=root,bd=10)99    lmain3=tk.Label(master=root,bd=10,fg="#CDCDCD",bg='black')100    lmain.pack(side=LEFT)101    lmain.place(x=50,y=50)102    lmain3.pack()103    lmain3.place(x=960,y=50)104    lmain2.pack(side=RIGHT)105    lmain2.place(x=900,y=150)106    root.title("Photo To Emoji")107    root.geometry("1400x900+100+10")108    root['bg']='black'109    exitbutton = Button(root, text='Quit',fg="red",command=root.destroy,font=('arial',25,'bold')).pack(side = BOTTOM)110    startVideoCapture()...

camSub.py

Source:camSub.py

...22232425"""26def startVideoCapture():27        #pub  = rospy.Publisher("webcam",Image,queue_size = 1)28        #rospy.init_node("spektrometer",anonymous = False)29        #rate = rospy.Rate(10)30        """31        while not rospy.is_shutdown():32            ret,frame  =cap.read()33            if not ret:34                break35            msg = bridge.cv2_to_imgmsg(frame,"bgr8")36            pub.publish(msg)37            38            if cv2.waitkey(1) & 0xFF == ord('q')39                break40            if rospy.is_shutdown():41                cap.release()42                43        44        if __name__ == '__main__':45            try:46                talker()47            except rospy.ROSInterruptException:48                pass49        50        51        52        53        54        """55    56        57        
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