def create_yolo(architecture,
labels,
input_size=(224, 224),
anchors=[
0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434,
7.88282, 3.52778, 9.77052, 9.16828
],
coord_scale=1.0,
class_scale=1.0,
object_scale=5.0,
no_object_scale=1.0,
weights=None,
strip_size=32):
n_classes = len(labels)
n_boxes = int(len(anchors) / 2)
yolo_network = create_yolo_network(architecture,
input_size,
n_classes,
n_boxes,
weights,
strip_size=strip_size)
yolo_loss = YoloLoss(yolo_network.get_grid_size(), n_classes, anchors,
coord_scale, class_scale, object_scale,
no_object_scale)
yolo_decoder = YoloDecoder(anchors)
yolo = YOLO(yolo_network, yolo_loss, yolo_decoder, labels, input_size)
return yolo
def create_yolo(architecture,
labels,
input_size=416,
anchors=[
0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434,
7.88282, 3.52778, 9.77052, 9.16828
],
feature_weights_path=None):
n_classes = len(labels)
n_boxes = int(len(anchors) / 2)
yolo_network = create_yolo_network(architecture, input_size, n_classes,
n_boxes, feature_weights_path)
yolo_loss = YoloLoss(yolo_network.get_grid_size(), n_classes, anchors)
yolo_decoder = YoloDecoder(anchors)
yolo = YOLO(yolo_network, yolo_loss, yolo_decoder, labels, input_size)
return yolo
def create_yolo(architecture,
labels,
input_size = 416,
anchors = [0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828],
coord_scale=1.0,
class_scale=1.0,
object_scale=5.0,
no_object_scale=1.0):
n_classes = len(labels)
n_boxes = int(len(anchors)/2)
yolo_network = create_yolo_network(architecture, input_size, n_classes, n_boxes)
yolo_loss = YoloLoss(yolo_network.get_grid_size(),
n_classes,
anchors,
coord_scale,
class_scale,
object_scale,
no_object_scale)
yolo_decoder = YoloDecoder(anchors)
yolo = YOLO(yolo_network, yolo_loss, yolo_decoder, labels, input_size)
return yolo