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# ------------------------------------------------------------------------
# Copyright (c) 2023-present, BAAI. All Rights Reserved.
#
# Licensed 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.
# ------------------------------------------------------------------------
"""Mask utilities."""
import numpy as np
from pycocotools.mask import encode
def mask_to_box(mask):
"""Convert binary masks to boxes."""
shape, (h, w) = mask.shape, mask.shape[-2:]
masks = mask.reshape((-1, h, w)).astype("bool")
in_height = np.max(masks, axis=-1)
in_width = np.max(masks, axis=-2)
in_height_coords = in_height * np.arange(h, dtype="int32")
in_width_coords = in_width * np.arange(w, dtype="int32")
bottom_edges = np.max(in_height_coords, axis=-1)
top_edges = np.min(in_height_coords + h * (~in_height), axis=-1)
right_edges = np.max(in_width_coords, axis=-1)
left_edges = np.min(in_width_coords + w * (~in_width), axis=-1)
is_empty = (right_edges < left_edges) | (bottom_edges < top_edges)
boxes = np.stack([left_edges, top_edges, right_edges, bottom_edges], axis=-1)
boxes = boxes.astype("float32") * ((~is_empty)[:, None])
return boxes.reshape(*shape[:-2], 4) if len(shape) > 2 else boxes[0]
def encode_masks(masks):
"""Encode a set of masks to RLEs."""
rles = encode(np.asfortranarray(masks))
for rle in rles:
rle["counts"] = rle["counts"].decode()
return rles
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