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1 | 1 | # This notice file contains license headers for all code files |
2 | 2 | # in the repository (currently all *.py files). |
3 | | -# |
| 3 | +# |
4 | 4 | # When updating headers, lower entries take precedence over higher |
5 | 5 | # entries. For each header, include/exclude statements can be used |
6 | 6 | # to define files to apply them to. |
7 | 7 | # |
8 | | -# When adding code from an external repo, make sure to cover the |
| 8 | +# When adding code from an external repo, make sure to cover the |
9 | 9 | # added code files with the correct license header. |
10 | 10 |
|
11 | 11 | # Main repository license |
|
20 | 20 | Licensed under GNU Lesser General Public License v3.0 |
21 | 21 | include: |
22 | 22 | - 'deeplabcut/**/*.py' |
23 | | - - 'tests/**/*.py' |
| 23 | + - 'tests/**/*.py' |
24 | 24 | - 'examples/**/*.py' |
25 | 25 | - 'docs/**/*.py' |
26 | 26 | - 'conda-environments/**/*.yaml' |
|
61 | 61 | # Tensorflow licenses |
62 | 62 | - header: | |
63 | 63 | Copyright 2019 The TensorFlow Authors. All Rights Reserved. |
64 | | - |
| 64 | +
|
65 | 65 | Licensed under the Apache License, Version 2.0 (the "License"); |
66 | 66 | you may not use this file except in compliance with the License. |
67 | 67 | You may obtain a copy of the License at |
68 | | - |
| 68 | +
|
69 | 69 | http://www.apache.org/licenses/LICENSE-2.0 |
70 | | - |
| 70 | +
|
71 | 71 | Unless required by applicable law or agreed to in writing, software |
72 | 72 | distributed under the License is distributed on an "AS IS" BASIS, |
73 | 73 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
|
85 | 85 | You may obtain a copy of the License at |
86 | 86 |
|
87 | 87 | http://www.apache.org/licenses/LICENSE-2.0 |
88 | | - |
| 88 | +
|
89 | 89 | Unless required by applicable law or agreed to in writing, software |
90 | 90 | distributed under the License is distributed on an "AS IS" BASIS, |
91 | 91 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
|
116 | 116 | https://github.com/rwightman/pytorch-image-models/blob/main/timm/scheduler/scheduler_factory.py |
117 | 117 | include: |
118 | 118 | - deeplabcut/pose_tracking_pytorch/solver/scheduler_factory.py |
| 119 | + - deeplabcut/pose_tracking_pytorch/model/backones/vit_pytorch.py |
| 120 | + |
| 121 | +# Reranking |
| 122 | +- header: | |
| 123 | + """ |
| 124 | + CVPR2017 paper:Zhong Z, Zheng L, Cao D, et al. Re-ranking Person Re-identification with k-reciprocal Encoding[J]. 2017. |
| 125 | + url:http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhong_Re-Ranking_Person_Re-Identification_CVPR_2017_paper.pdf |
| 126 | + Matlab version: https://github.com/zhunzhong07/person-re-ranking |
| 127 | +
|
| 128 | + API |
| 129 | +
|
| 130 | + probFea: all feature vectors of the query set (torch tensor) |
| 131 | + probFea: all feature vectors of the gallery set (torch tensor) |
| 132 | + k1,k2,lambda: parameters, the original paper is (k1=20,k2=6,lambda=0.3) |
| 133 | + MemorySave: set to 'True' when using MemorySave mode |
| 134 | + Minibatch: available when 'MemorySave' is 'True' |
| 135 | + """ |
| 136 | +
|
| 137 | + include: |
| 138 | + - deeplabcut/pose_tracking_pytorch/trackingutils/reranking.py |
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