72 lines
1.9 KiB
Python
72 lines
1.9 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import logging as log
|
|
|
|
import numpy as np
|
|
|
|
from mo.front.extractor import attr_getter
|
|
from mo.graph.graph import Node, Graph
|
|
from mo.ops.op import Op
|
|
|
|
|
|
class SimplerNMSOp(Op):
|
|
op = 'SimplerNMS'
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'type': __class__.op,
|
|
'op': __class__.op,
|
|
'version': 'experimental',
|
|
'in_ports_count': 3,
|
|
'out_ports_count': 1,
|
|
'infer': SimplerNMSOp.simplernms_infer
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
def supported_attrs(self):
|
|
return [
|
|
'cls_threshold',
|
|
'max_num_proposals',
|
|
'iou_threshold',
|
|
'min_bbox_size',
|
|
'feat_stride',
|
|
'pre_nms_topn',
|
|
'post_nms_topn',
|
|
'scale'
|
|
]
|
|
|
|
def backend_attrs(self):
|
|
return [
|
|
'cls_threshold',
|
|
'max_num_proposals',
|
|
'iou_threshold',
|
|
'min_bbox_size',
|
|
'feat_stride',
|
|
'pre_nms_topn',
|
|
'post_nms_topn',
|
|
('scale', lambda node: attr_getter(node, 'scale'))
|
|
]
|
|
|
|
@staticmethod
|
|
def simplernms_infer(node: Node):
|
|
"""
|
|
Sets shape of output node according to specified param of post_nms_topn
|
|
and number of the following params: [is_obj, x, y, w, h]
|
|
Parameters
|
|
----------
|
|
node
|
|
|
|
"""
|
|
if node.feat_stride != 16:
|
|
log.error("SimplerNMS layer doesn't support other feat_stride value that 16")
|
|
return
|
|
|
|
scale_list = []
|
|
for i in range(0, len(node.scale)):
|
|
scale_list.append(str(node.scale[i]))
|
|
|
|
node.scale = scale_list
|
|
|
|
node.out_node().shape = np.array([node.post_nms_topn, 5])
|