demo.py File Reference

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Namespaces
	demo

Functions
def	demo.str2bool (v)
def	demo.visualize (image, results, box_color=(0, 255, 0), text_color=(0, 0, 255), fps=None)

Variables
list	demo.backends = [cv.dnn.DNN_BACKEND_OPENCV, cv.dnn.DNN_BACKEND_CUDA]
list	demo.targets = [cv.dnn.DNN_TARGET_CPU, cv.dnn.DNN_TARGET_CUDA, cv.dnn.DNN_TARGET_CUDA_FP16]
string	demo.help_msg_backends = "Choose one of the computation backends: {:d}: OpenCV implementation (default); {:d}: CUDA"
string	demo.help_msg_targets = "Chose one of the target computation devices: {:d}: CPU (default); {:d}: CUDA; {:d}: CUDA fp16"
	demo.parser = argparse.ArgumentParser(description='YuNet: A Fast and Accurate CNN-based Face Detector (https://github.com/ShiqiYu/libfacedetection).')
	demo.type
	demo.str
	demo.help
	demo.default
	demo.int
	demo.float
	demo.False
	demo.str2bool
	demo.True
	demo.args = parser.parse_args()
	demo.model
	demo.image = cv.imread(args.input)
	demo.h = int(cap.get(cv.CAP_PROP_FRAME_HEIGHT))
	demo.w = int(cap.get(cv.CAP_PROP_FRAME_WIDTH))
	demo.results = model.infer(image)
int	demo.deviceId = 0
	demo.cap = cv.VideoCapture(deviceId)
	demo.tm = cv.TickMeter()
	demo.hasFrame
	demo.frame = visualize(frame, results, fps=tm.getFPS())