n_fg_class (int) – The number of classes excluding the background.
pretrained_model (str) – The destination of the pre-trained
chainer model serialized as a
If this is one of the strings described
above, it automatically loads weights stored under a directory
$CHAINER_DATASET_ROOT is set as
$HOME/.chainer/dataset unless you specify another value
by modifying the environment variable.
min_size (int) – A preprocessing paramter for
max_size (int) – A preprocessing paramter for
roi_size (int) – Height and width of the feature maps after
Position Sensitive RoI pooling.
group_size (int) – Group height and width for Position Sensitive
ratios (list of floats) – This is ratios of width to height of
anchor_scales (list of numbers) – This is areas of anchors.
Those areas will be the product of the square of an element in
anchor_scales and the original area of the reference
loc_normalize_mean (tuple of four floats) – Mean values of
loc_normalize_std (tupler of four floats) – Standard deviation
of localization estimates.
iter2 (bool) – if the value is set
True, Position Sensitive
ROI pooling is executed twice. In the second time, Position
Sensitive ROI pooling uses improved ROIs by the localization
parameters calculated in the first time.
resnet_initialW (callable) – Initializer for the layers corresponding to
the ResNet101 layers.
rpn_initialW (callable) – Initializer for Region Proposal Network
head_initialW (callable) – Initializer for the head layers.
proposal_creator_params (dict) – Key valued paramters for