def __init__(self, camera_state, video_file): #0/1为本机摄像头，-1为输入视频文件
self._camera = camera_state
self._video_file = video_file
self._windowManager = WindowManager('Cameo', self.onKeypress)
if (camera_state == -1):
self._captureManager = CaptureManager(cv2.VideoCapture(video_file),
self._windowManager, True,
False, False)
else:
self._captureManager = CaptureManager(
cv2.VideoCapture(self._camera), self._windowManager, True,
False, False)
def __init__(self):
'''创建一个窗口，写上按键的回调方法'''
self._windowManager = WindowManager('Cameo', self.onKeypress)
# cameraCapture = cv2.VideoCapture(0) # 获取摄像头数据
cameraCapture = cv2.VideoCapture('/home/deepl/Documents/wb/opencv-3.0.0/samples/data/768x576.avi')
'''告诉程序数据来自摄像头， 还有镜面效果'''
self._captureManager = CaptureManager(cameraCapture, self._windowManager, True)
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
#device = cv2.CAP_OPENNI2 # uncomment for Microsoft Kinect via OpenNI2
device = cv2.CAP_OPENNI2_ASUS # uncomment for Asus Xtion or Occipital Structure via OpenNI2
self._captureManager = CaptureManager(cv2.VideoCapture(device),
self._windowManager, True)
self._curveFilter = filters.BGRPortraCurveFilter()
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
self._captureManager = CaptureManager(cv2.VideoCapture(0),
self._windowManager, True)
self._faceTracker = FaceTracker()
self._shouldDrawDebugRects = False
self._curveFilter = filters.BGRPortraCurveFilter()
def __init__(self, video_source):
self._windowManager = WindowManager('Browser', self.onKeypress)
self._captureManager = CaptureManager(video_source,
self._windowManager, True)
self._faceTracker = FaceTracker()
self._shouldDrawDebugRects = False
self._curveFilter = filters.BGRPortraCurveFilter()
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
self._captureManager = CaptureManager(cv2.VideoCapture(0),
self._windowManager, True)
# 使用的过滤器
self._sharpenFilter = filters.FindEdgesFilter()
def __init__(self):
# 创建一个窗口，并将键盘的回调函数传入
self._windowManager = WindowManager('Cameo', self.onKeypress)
# 告诉程序数据来自摄像头， 还有镜面效果
self._captureManager = CaptureManager(
capture=cv.VideoCapture(0),
previewWindowManager=self._windowManager,
shouldMirrorPreview=True)
def __init__(self):
# 引入窗口管理类
self._windowManager = WindowManager('Cameo', self.onKeypress)
# 引入摄像头捕捉类
self._captureManager = CaptureManager(cv2.VideoCapture(0),
self._windowManager, True)
# 引入滤波器类
self._curveFilter = filters.FindEdgesFilter()
def __init__(self):
self._windowManager = WindowsManager('Cameo', self.onkeypress)
self._capturemanager = CaptureManager(cv2.VideoCapture(0),
self._windowManager, True)
# 此处滤波器声明
self._BlurFilter = filters.BlurFilter()
self._FindEdgesFilter = filters.FindEdgesFilter()
def __init__(self):
self._camera = cv2.VideoCapture(0)
self._camera.set(cv2.CAP_PROP_FRAME_WIDTH, 1024)
self._camera.set(cv2.CAP_PROP_FRAME_HEIGHT, 768)
self._windowManager = WindowManager('Face ID', self.onKeypress)
self._captureManager = CaptureManager(self._camera,
self._windowManager, True)
self._faceDetector = FaceDetector()
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
#device = cv2.CAP_OPENNI2 # uncomment for Microsoft Kinect via OpenNI2
device = cv2.CAP_OPENNI2_ASUS # uncomment for Asus Xtion via OpenNI2
self._captureManager = CaptureManager(cv2.VideoCapture(device),
self._windowManager, True)
self._faceTracker = FaceTracker()
self._shouldDrawDebugRects = False
self._curveFilter = filters.BGRPortraCurveFilter()
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
vs = WebcamVideoStream(src=0).start()
self._captureManager = CaptureManager(vs, self._windowManager, True)
self._cameraMatrix = array([[738.134, 0, 367.371],
[0, 736.132, 236.552], [0, 0, 1]])
self._distCoeffs = array(
[-0.531157, 0.515348, -0.0166326, -0.00256654, -0.536911])
def __init__(self, windowName='Cameo', _shouldMirrorPreview=True):
self._windowManager = WindowManager(windowName, self.onKeypress)
self._captureManager = CaptureManager(
capture=cv2.VideoCapture(0),
previewWindowManager=self._windowManager,
shouldMirrorPreview=_shouldMirrorPreview)
self._pictureNumber: int = 0
self._videoNumber: int = 0
self._curveFilter = filters.BGRPortraCurveFilter()
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeyPressed)
self._captureManager = CaptureManager(
capture=cv2.VideoCapture(0),
previewWindowManager=self._windowManager,
mirrorPreview=True)
self._curveFilter = filters.BGRPortraCurveFilter()
self._faceTracker = FaceTracker()
self._showDetectionRects = False
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
self._captureManager = CaptureManager(
cv2.VideoCapture(0), self._windowManager, True)
self._curveFilter = filters.BGRPortraCurveFilter()
self._conv_filter = filters.SharpenFilter()
self._face_tracker = FaceTracker()
self._should_draw_debug_rects = False
def __init__(self):
self._windowManager = WindowManager('Cameo',
self.onKeypress)
self._captureManager = CaptureManager(
cv2.VideoCapture(0), self._windowManager, True)
#self._curveFilter = filters.BGRPortraCurveFilter()
self._EmbossFilter = filters.EmbossFilter()
self._SharpenFilter = filters.SharpenFilter()
self._AverageBlur = filters.AverageBlur()
self._FindEdgesFilger = filters.FindEdgesFilter()
def __init__(self):
self.shootcount = 1
self.castcount = 1
self.mean = None
self.sigma = None
self._windowManager = WindowManager('REAL', self.onKeypress)
self._captureManager = CaptureManager(cv2.VideoCapture(0),
self._windowManager,
shouldMirrorPreview=True)
#shouldMirrorPreview can convert the image into its mirrored image
#self._curveFilter = filters.SharpFilter()
self._curveFilter = filters.EmbossFilter()
def __init__(self):
self._window_manager = TkinterWindowManager('Jarvis',
self.on_key_press)
self._capture_manager = CaptureManager(
cv2.VideoCapture(0),
should_mirror_capture=True,
preview_manager=self._window_manager,
should_mirror_preview=False)
self._threaded_web_stream_manager = ThreadedWebStreamManager(
self._capture_manager)
self._face_tracker = FaceTracker()
self._should_draw_debug = False
self._curve_filter = filters.BGRPortraCurveFilter()
def __init__(self, windowName, capture):
"""
Constructor used to initialize the window manager, capture manager and ball detector
Also initializes orangeLower and orangeUpper which is a range of orange values used to help with detection
"""
self._windowManager = WindowManager(windowName, self.onKeypress)
self._captureManager = CaptureManager(capture, self._windowManager, True)
self._ball_detector = Ball_Detector("ball_classifier.xml")
self._paused = False
# define a geneal orange color to help with detection
self.orangeLower = (0,96,91)
self.orangeUpper = (7,255,255)
def __init__(self, create_tracker_fun, file_path):
self._window_manager = WindowManager(
file_path, self.on_keypress
)
self._capture_manager = CaptureManager(
cv2.VideoCapture(file_path), self._window_manager, width=640
)
self._track_marks = []
self._create_tracker_fun = create_tracker_fun
self._multi_tracker = cv2.MultiTracker_create()
self._initial_roi_histograms = []
self._base_angle = None
self._angle_change = []
self._frame_no = 0
def __init__(self):
# 窗口管理器
self._windowManager = WindowManger(
"Cameo",
self.onKeyPress
)
# 捕获管理器
self._captureManager = CaptureManager(
cv2.VideoCapture(0),
self._windowManager,
True,
)
self._curveFilter = filters.BGRPortraCurveFilter()
def __init__(self):
self._configs = utils.loadConfigFile('facecapture.cf')
self._users = utils.loadConfigFile('names.cf')
self._camera = cv2.VideoCapture(int(self._configs['capture.camera']))
self._camera.set(cv2.CAP_PROP_FRAME_WIDTH,
int(self._configs['capture.width']))
self._camera.set(cv2.CAP_PROP_FRAME_HEIGHT,
int(self._configs['capture.height']))
self._windowManager = WindowManager('Face Tracing', self.onKeypress)
self._captureManager = CaptureManager(self._camera,
self._windowManager)
self._faceDetector = FaceDetector()
self._recognizer = cv2.face.LBPHFaceRecognizer_create()
self._recognizer.read('trainingData.yml')
def __init__(self):
self._windowManager = WindowManager('Camer', self.onKeypress)
self._captureManager = CaptureManager(cv2.VideoCapture(0),
self._windowManager, True)
self._filters = [
filters.BGRPortraCurveFilter(),
filters.BGRProviaCurveFilter(),
filters.BGRVelviaCurveFilter(),
filters.BGRCrossProcessCurveFilter()
]
self._currentFilter = 0
self._curveFliter = self._filters[self._currentFilter]
self._faceTracker = FaceTracker()
self._shoulddrawRects = False
self._shouldswapFaces = False
def __init__(self):
self._windowManager = WindowManager('benFinder',
self.onKeypress)
device = depth.CV_CAP_FREENECT
#device = 1
print "device=%d" % device
self._captureManager = CaptureManager(
device, self._windowManager, True)
self._captureManager.channel = depth.CV_CAP_OPENNI_BGR_IMAGE
self._faceTracker = FaceTracker()
self._shouldDrawDebugRects = False
self._backgroundSubtract = False
self._autoBackgroundSubtract = False
self._curveFilter = filters.BGRPortraCurveFilter()
self.background_video_img = None
self.background_depth_img = None
self.autoBackgroundImg = None
self._ts = TimeSeries()
self._frameCount = 0
def __init__(self, args):
assert args.identity is not None
assert os.path.exists(args.output_dir)
self._output_dir = os.path.join(args.output_dir, args.identity)
if not os.path.exists(self._output_dir):
os.mkdir(self._output_dir)
self._identity = args.identity
self._window_manager = WindowManager('Face Capture', self.on_keypress)
self._capture_manager = CaptureManager(cv2.VideoCapture(0),
self._window_manager, True)
self._img_count = long(0)
self._auto_write_img = False
self._cropped = None
self._image_size = args.image_size
def __init__(self, name):
self._configs = utils.loadConfigFile('facecapture.cf')
self._users = utils.loadConfigFile('names.cf')
self._name = name
self._camera = cv2.VideoCapture(int(self._configs['capture.camera']))
self._camera.set(cv2.CAP_PROP_FRAME_WIDTH,
int(self._configs['capture.width']))
self._camera.set(cv2.CAP_PROP_FRAME_HEIGHT,
int(self._configs['capture.height']))
self._windowManager = WindowManager(
'Face Capture for {0}'.format(self._name), self.onKeypress)
self._captureManager = CaptureManager(self._camera,
self._windowManager, True)
self._faceDetector = FaceDetector()
self._filePath = '{0}'.format(self._configs['dataset.dir'])
os.makedirs(self._filePath, exist_ok=True)
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
self._captureManager = CaptureManager(cv2.VideoCapture(0), self._windowManager, True)
self._curves = [None, filters.BGRCrossProcessCurveFilter(), filters.BGRPortraCurveFilter(),
filters.BGRProviaCurveFilter(), filters.BGRVelviaCurveFilter()]
self._curveIndex = 0
self._curveFilter = self._curves[self._curveIndex]
self._recolorFilters = [None, filters.recolorCMV, filters.recolorRC, filters.recolorRGV]
self._recolorIndex = 0
self._recolor = self._recolorFilters[self._recolorIndex]
self._convolutionFilters = [None, filters.findEdgesFilter(),
filters.sharpenFilter(), filters.blurFilter(),
filters.embossFilter()]
self._convolutionIndex = 0
self._convolution = self._convolutionFilters[self._convolutionIndex]
self._strokeEdges = False
self._faceTracker = FaceTracker()
self._shouldDrawDebugRects = True
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
self._captureManager = CaptureManager(
cv2.VideoCapture("../resource/video.mp4"), self._windowManager,
True)
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
self._captureManager = CaptureManager(cv2.VideoCapture(0),
self._windowManager, True)
def __init__(self):
self._windowManager = WindowManager('Cameo', self.onKeypress)
self._captureManager = CaptureManager(cv2.VideoCapture(0),
self._windowManager, True)
self._curveFilter = filters.BGRPortraCurveFilter()
