(input_tensor, kernel_size, filters, stage, block, trainable=True)

(input_tensor, kernel_size, filters, stage, block, strides=(2, 2), trainable=True)

(self)

(input_tensor, kernel_size, filters, stage, block, input_shape, strides=(2, 2), trainable=True)

(input_path)

(input_length)

(input_tensor, kernel_size, filters, stage, block, trainable=True)

(X, T)

(C, img_data, width, height, resized_width, resized_height)

(x, input_shape, trainable=False)

(img, C)

(img, C)

(width, height)

(pred, gt, f)

(width, height, img_min_side=600)

(ai, bi)

(a, b)

(boxes, probs, overlap_thresh=0.9, max_boxes=300)

(self, img_data)

(au, bu)

(self)

(self, class_count)

(self, it)

(self, pool_size, num_rois, **kwargs)

(self, epsilon=1e-3, axis=-1, weights=None, beta_init='zero', gamma_init='one',

(self)

(x, y, w, h, tx, ty, tw, th)

(img_data, config, augment=True)

(self, input_shape)

(self, input_shape)

(R, img_data, C, class_mapping)

(self, x, mask=None)

(self, x, mask=None)

(y_true, y_pred)

(num_classes)

(y_true, y_pred)

(base_layers, input_rois, num_rois, nb_classes = 21, trainable=False)

(self, input_shape)

(*a, **kw)

(all_img_data, class_count, C, backend, mode='train')

(self)

(input_path)

(input_tensor=None, trainable=False)

(base_layers,num_anchors)

(num_anchors)

(y_true, y_pred)

(num_anchors)

(y_true, y_pred)

(rpn_layer, regr_layer, C, dim_ordering, use_regr=True, max_boxes=300,overlap_thresh=0.9)