retuve.hip_xray.draw

 1# Copyright 2024 Adam McArthur
 2#
 3# Licensed under the Apache License, Version 2.0 (the "License");
 4# you may not use this file except in compliance with the License.
 5# You may obtain a copy of the License at
 6#
 7#     http://www.apache.org/licenses/LICENSE-2.0
 8#
 9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14
15"""
16Drawing code related to hip xray images.
17"""
18
19import time
20from typing import List
21
22from numpy.typing import NDArray
23
24from retuve.classes.draw import Overlay
25from retuve.classes.seg import SegFrameObjects
26from retuve.draw import draw_landmarks, resize_data_for_display
27from retuve.hip_xray.classes import HipDataXray
28from retuve.hip_xray.metrics.ace import draw_ace
29from retuve.keyphrases.config import Config
30from retuve.logs import log_timings
31
32
33def draw_hips_xray(
34    hip_datas: List[HipDataXray],
35    results: List[SegFrameObjects],
36    config: Config,
37) -> List[NDArray]:
38    """
39    Draw the hip xray images
40
41    :param hip_datas: The Hip Datas
42    :param results: The Segmentation Results
43    :param config: The Config
44
45    :return: The Drawn Images as Numpy Arrays
46    """
47    draw_timings = []
48    image_arrays = []
49
50    for hip, seg_frame_objs in zip(hip_datas, results):
51        start = time.time()
52
53        final_hip, final_seg_frame_objs, final_image = resize_data_for_display(
54            hip, seg_frame_objs
55        )
56
57        overlay = Overlay(
58            (final_image.shape[0], final_image.shape[1], 3), config
59        )
60
61        # overlay = draw_seg(final_seg_frame_objs, overlay, config)
62
63        overlay = draw_landmarks(final_hip, overlay)
64
65        overlay = draw_ace(final_hip, overlay, config)
66
67        img = overlay.apply_to_image(final_image)
68
69        image_arrays.append(img)
70        draw_timings.append(time.time() - start)
71
72    log_timings(draw_timings, title="Drawing Speed:")
73
74    return image_arrays