print("Usage: %s [v4l input device or image]\n" % (sys.argv[0]))
sys.exit(0)
devicepath = sys.argv[1]
net = get_model("yolov4_tiny", num_threads=4, use_gpu=True)
# net = get_model("yolov4", num_threads=4, use_gpu=True)
if devicepath.find("/dev/video") == -1:
m = cv2.imread(devicepath)
if m is None:
print("cv2.imread %s failed\n" % (devicepath))
sys.exit(0)
objects = net(m)
draw_detection_objects(m, net.class_names, objects)
else:
cap = cv2.VideoCapture(devicepath)
if cap.isOpened() == False:
print("Failed to open %s" % (devicepath))
sys.exit(0)
while True:
ret, frame = cap.read()
objects = net(frame)
draw_detection_objects(frame, net.class_names, objects)
from ncnn.model_zoo import get_model
from ncnn.utils import draw_detection_objects
use_gpu = False
if ncnn.build_with_gpu():
use_gpu = True
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: %s [imagepath]\n" % (sys.argv[0]))
sys.exit(0)
imagepath = sys.argv[1]
m = cv2.imread(imagepath)
if m is None:
print("cv2.imread %s failed\n" % (imagepath))
sys.exit(0)
if use_gpu:
ncnn.create_gpu_instance()
net = get_model('mobilenetv3_ssdlite', num_threads=4, use_gpu=use_gpu)
objects = net(m)
if use_gpu:
ncnn.destroy_gpu_instance()
draw_detection_objects(m, net.class_names, objects, 0.6)
