Python cv2.WND_PROP_FULLSCREEN属性代码示例

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def main():
    '''
    Arguments to be set:
        showCam : determine if show the camera preview screen.
    '''
    print("Enter main() function")
    
    if args.testImage is not None:
        img = cv2.imread(args.testImage)
        img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        img = cv2.resize(img, FACE_SHAPE)
        print(class_label[result[0]])
        sys.exit(0)

    showCam = 1

    capture = getCameraStreaming()

    if showCam:
        cv2.startWindowThread()
        cv2.namedWindow(windowsName, cv2.WND_PROP_FULLSCREEN)
        cv2.setWindowProperty(windowsName, cv2.WND_PROP_FULLSCREEN, cv2.WND_PROP_FULLSCREEN)
    
    showScreenAndDectect(capture) 

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def set_display(window_name, full_scrn):
    """Set disply window to either full screen or normal."""
    if full_scrn:
        cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN,
                              cv2.WINDOW_FULLSCREEN)
    else:
        cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN,
                              cv2.WINDOW_NORMAL) 

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def set_full_screen(full_scrn):
    """Set display window to full screen or not."""
    prop = cv2.WINDOW_FULLSCREEN if full_scrn else cv2.WINDOW_NORMAL
    cv2.setWindowProperty(WINDOW_NAME, cv2.WND_PROP_FULLSCREEN, prop) 

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def main():
    '''
    Arguments to be set:
        showCam : determine if show the camera preview screen.
    '''
    print("Enter main() function")
    
    capture = getCameraStreaming()

    cv2.startWindowThread()
    cv2.namedWindow(windowsName, cv2.WND_PROP_FULLSCREEN)
    cv2.setWindowProperty(windowsName, cv2.WND_PROP_FULLSCREEN, cv2.WND_PROP_FULLSCREEN)
    
    while True:
        recContent = speechRecognition()
        if recContent is not None:
            emotion = showScreenAndDectect(capture)
            if emotion == "Angry":
                emoji = " >:O"
            elif emotion == "Fear":
                emoji = " :-S"
            elif emotion == "Happy":
                emoji = " :-D"
            elif emotion == "Sad":
                emoji = " :'("
            elif emotion == "Surprise":
                emoji = " :-O"
            else:
                emoji = " "
            print("Output result: " + recContent + emoji) 

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def previewImage(self, text, img):
        #show full screen
        cv2.namedWindow(text, cv2.WND_PROP_FULLSCREEN)
        cv2.setWindowProperty(text,cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)

        cv2.imshow(text,img)
        cv2.waitKey(2000)
        cv2.destroyAllWindows() 

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def previewImage(self, text, img):
        if self.PREVIEW_IMAGES==True:
            #show full screen
            cv2.namedWindow(text, cv2.WND_PROP_FULLSCREEN)
            cv2.setWindowProperty(text,cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)

            cv2.imshow(text,img)
            if self.PREVIEW_AUTOCLOSE==True:
                cv2.waitKey(2000)
                cv2.destroyAllWindows()
    
            else:
                cv2.waitKey(0)
                cv2.destroyAllWindows() 

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def maximize_win(winname):
    cv2.setWindowProperty(winname, cv2.WND_PROP_FULLSCREEN, True); 

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import WND_PROP_FULLSCREEN [as 别名]
def main():
    # load config
    cfg.merge_from_file(args.config)
    cfg.CUDA = torch.cuda.is_available() and cfg.CUDA
    device = torch.device('cuda' if cfg.CUDA else 'cpu')

    # create model
    model = ModelBuilder()

    # load model
    model.load_state_dict(torch.load(args.snapshot,
        map_location=lambda storage, loc: storage.cpu()))
    model.eval().to(device)

    # build tracker
    tracker = build_tracker(model)

    first_frame = True
    if args.video_name:
        video_name = args.video_name.split('/')[-1].split('.')[0]
    else:
        video_name = 'webcam'
    cv2.namedWindow(video_name, cv2.WND_PROP_FULLSCREEN)
    for frame in get_frames(args.video_name):
        if first_frame:
            try:
                init_rect = cv2.selectROI(video_name, frame, False, False)
            except:
                exit()
            tracker.init(frame, init_rect)
            first_frame = False
        else:
            outputs = tracker.track(frame)
            if 'polygon' in outputs:
                polygon = np.array(outputs['polygon']).astype(np.int32)
                cv2.polylines(frame, [polygon.reshape((-1, 1, 2))],
                              True, (0, 255, 0), 3)
                mask = ((outputs['mask'] > cfg.TRACK.MASK_THERSHOLD) * 255)
                mask = mask.astype(np.uint8)
                mask = np.stack([mask, mask*255, mask]).transpose(1, 2, 0)
                frame = cv2.addWeighted(frame, 0.77, mask, 0.23, -1)
            else:
                bbox = list(map(int, outputs['bbox']))
                cv2.rectangle(frame, (bbox[0], bbox[1]),
                              (bbox[0]+bbox[2], bbox[1]+bbox[3]),
                              (0, 255, 0), 3)
            cv2.imshow(video_name, frame)
            cv2.waitKey(40)