wehub-resource-sync
79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
|
|
# or more contributor license agreements. See the NOTICE file
|
|
# distributed with this work for additional information
|
|
# regarding copyright ownership. The ASF licenses this file
|
|
# to you under the Apache License, Version 2.0 (the
|
|
# "License"); you may not use this file except in compliance
|
|
# with the License. You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing,
|
|
# software distributed under the License is distributed on an
|
|
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
|
# KIND, either express or implied. See the License for the
|
|
# specific language governing permissions and limitations
|
|
# under the License.
|
|
"""ROI Align operator"""
|
|
|
|
from ..base import Expr
|
|
from . import _ffi_api
|
|
|
|
|
|
def roi_align(
|
|
data: Expr,
|
|
rois: Expr,
|
|
pooled_size: int | tuple[int, int] | list[int],
|
|
spatial_scale: float,
|
|
sample_ratio: int = -1,
|
|
aligned: bool = False,
|
|
layout: str = "NCHW",
|
|
mode: str = "avg",
|
|
):
|
|
"""ROI Align operator.
|
|
|
|
Parameters
|
|
----------
|
|
data : relax.Expr
|
|
4-D input tensor.
|
|
|
|
rois : relax.Expr
|
|
2-D input tensor with shape `(num_roi, 5)` in
|
|
`[batch_idx, x1, y1, x2, y2]` format.
|
|
|
|
pooled_size : Union[int, Tuple[int, int], List[int]]
|
|
Output pooled size.
|
|
|
|
spatial_scale : float
|
|
Ratio of input feature map height (or width) to raw image height (or width).
|
|
|
|
sample_ratio : int, optional
|
|
Sampling ratio for ROI align. Non-positive values use adaptive sampling.
|
|
|
|
aligned : bool, optional
|
|
Whether to use aligned ROIAlign semantics without the legacy 1-pixel clamp.
|
|
|
|
layout : str, optional
|
|
Layout of the input data. Supported values are `NCHW` and `NHWC`.
|
|
|
|
mode : str, optional
|
|
Mode for ROI align. Supported values are `avg` and `max`.
|
|
|
|
Returns
|
|
-------
|
|
result : relax.Expr
|
|
The computed result.
|
|
"""
|
|
if isinstance(pooled_size, int):
|
|
pooled_size = (pooled_size, pooled_size)
|
|
return _ffi_api.roi_align(
|
|
data,
|
|
rois,
|
|
pooled_size,
|
|
spatial_scale,
|
|
sample_ratio,
|
|
aligned,
|
|
layout,
|
|
mode,
|
|
)
|