Exemplos de BlazeHandLandmark em Python

Exemplo n.º 1

Arquivo: demo.py Projeto: yuvrajdalia/gestop

def initialise_models():
    palm_detector = BlazePalm().to(gpu)
    palm_detector.load_weights("models/blazepalm.pth")
    palm_detector.load_anchors("models/anchors_palm.npy")
    palm_detector.min_score_thresh = .75

    hand_regressor = BlazeHandLandmark().to(gpu)
    hand_regressor.load_weights("models/blazehand_landmark.pth")

    return palm_detector,hand_regressor

Exemplo n.º 2

back_detector = True

face_detector = BlazeFace(back_model=back_detector).to(gpu)
if back_detector:
    face_detector.load_weights("blazefaceback.pth")
    face_detector.load_anchors("anchors_face_back.npy")
else:
    face_detector.load_weights("blazeface.pth")
    face_detector.load_anchors("anchors_face.npy")

palm_detector = BlazePalm().to(gpu)
palm_detector.load_weights("blazepalm.pth")
palm_detector.load_anchors("anchors_palm.npy")
palm_detector.min_score_thresh = .75

hand_regressor = BlazeHandLandmark().to(gpu)
hand_regressor.load_weights("blazehand_landmark.pth")

face_regressor = BlazeFaceLandmark().to(gpu)
face_regressor.load_weights("blazeface_landmark.pth")

WINDOW = 'test'
cv2.namedWindow(WINDOW)
if len(sys.argv) > 1:
    capture = cv2.VideoCapture(sys.argv[1])
    mirror_img = False
else:
    capture = cv2.VideoCapture(2)
    mirror_img = True

if capture.isOpened():

Exemplo n.º 3

Arquivo: demo.py Projeto: zmurez/MediaPipePyTorch

back_detector = True

face_detector = BlazeFace(back_model=back_detector).to(gpu)
if back_detector:
    face_detector.load_weights("blazefaceback.pth")
    face_detector.load_anchors("anchors_face_back.npy")
else:
    face_detector.load_weights("blazeface.pth")
    face_detector.load_anchors("anchors_face.npy")

palm_detector = BlazePalm().to(gpu)
palm_detector.load_weights("blazepalm.pth")
palm_detector.load_anchors("anchors_palm.npy")
palm_detector.min_score_thresh = .75

hand_regressor = BlazeHandLandmark().to(gpu)
hand_regressor.load_weights("blazehand_landmark.pth")

face_regressor = BlazeFaceLandmark().to(gpu)
face_regressor.load_weights("blazeface_landmark.pth")


WINDOW='test'
cv2.namedWindow(WINDOW)
if len(sys.argv) > 1:
    capture = cv2.VideoCapture(sys.argv[1])
    mirror_img = False
else:
    capture = cv2.VideoCapture(0)
    mirror_img = True

Exemplo n.º 4

Arquivo: demo (2).py Projeto: K4S4B4/MediaPipePyTorch

back_detector = True

face_detector = BlazeFace(back_model=back_detector).to(gpu)
if back_detector:
    face_detector.load_weights("blazefaceback.pth")
    face_detector.load_anchors("anchors_face_back.npy")
else:
    face_detector.load_weights("blazeface.pth")
    face_detector.load_anchors("anchors_face.npy")

palm_detector = BlazePalm().to(gpu)
palm_detector.load_weights("blazepalm.pth")
palm_detector.load_anchors("anchors_palm.npy")
palm_detector.min_score_thresh = .75

hand_regressor = BlazeHandLandmark().to(gpu)
hand_regressor.load_weights("blazehand_landmark.pth")

face_regressor = BlazeFaceLandmark().to(gpu)
face_regressor.load_weights("blazeface_landmark.pth")

WINDOW = 'test'
cv2.namedWindow(WINDOW)
if len(sys.argv) > 1:
    capture = cv2.VideoCapture(sys.argv[1])
    mirror_img = False
else:
    capture = cv2.VideoCapture(0)
    mirror_img = True

if capture.isOpened():

Exemplo n.º 5

 def load_landmark_regressor(self):
     hand_regressor = BlazeHandLandmark()
     hand_regressor.load_weights(self.landmarks_weights_path)
     return hand_regressor