├── .gitignore ├── .travis.yml ├── LICENSE ├── README.md ├── blazeface ├── __init__.py ├── mediapipe_implementation.py └── model.py ├── docker-compose.yml ├── docker └── Dockerfile.cpu ├── setup.cfg ├── setup.py └── tests ├── __init__.py └── test_blazeface.py /.gitignore: -------------------------------------------------------------------------------- 1 | tests_results/ 2 | .idea/ 3 | 4 | # Byte-compiled / optimized / DLL files 5 | __pycache__/ 6 | *.py[cod] 7 | *$py.class 8 | 9 | # C extensions 10 | *.so 11 | 12 | # Distribution / packaging 13 | .Python 14 | build/ 15 | develop-eggs/ 16 | dist/ 17 | downloads/ 18 | eggs/ 19 | .eggs/ 20 | lib/ 21 | lib64/ 22 | parts/ 23 | sdist/ 24 | var/ 25 | wheels/ 26 | *.egg-info/ 27 | .installed.cfg 28 | *.egg 29 | MANIFEST 30 | 31 | # PyInstaller 32 | # Usually these files are written by a python script from a template 33 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 34 | *.manifest 35 | *.spec 36 | 37 | # Installer logs 38 | pip-log.txt 39 | pip-delete-this-directory.txt 40 | 41 | # Unit test / coverage reports 42 | htmlcov/ 43 | .tox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | 53 | # Translations 54 | *.mo 55 | *.pot 56 | 57 | # Django stuff: 58 | *.log 59 | local_settings.py 60 | db.sqlite3 61 | 62 | # Flask stuff: 63 | instance/ 64 | .webassets-cache 65 | 66 | # Scrapy stuff: 67 | .scrapy 68 | 69 | # Sphinx documentation 70 | docs/_build/ 71 | 72 | # PyBuilder 73 | target/ 74 | 75 | # Jupyter Notebook 76 | .ipynb_checkpoints 77 | 78 | # pyenv 79 | .python-version 80 | 81 | # celery beat schedule file 82 | celerybeat-schedule 83 | 84 | # SageMath parsed files 85 | *.sage.py 86 | 87 | # Environments 88 | .env 89 | .venv 90 | env/ 91 | venv/ 92 | ENV/ 93 | env.bak/ 94 | venv.bak/ 95 | 96 | # Spyder project settings 97 | .spyderproject 98 | .spyproject 99 | 100 | # Rope project settings 101 | .ropeproject 102 | 103 | # mkdocs documentation 104 | /site 105 | 106 | # mypy 107 | .mypy_cache/ 108 | -------------------------------------------------------------------------------- /.travis.yml: -------------------------------------------------------------------------------- 1 | language: python 2 | 3 | python: 4 | - 3.6 5 | 6 | cache: 7 | - pip 8 | 9 | install: 10 | - pip install -qU pip setuptools 11 | - pip install -q pytest 12 | - pip install -q https://download.pytorch.org/whl/cpu/torch-1.1.0-cp36-cp36m-linux_x86_64.whl 13 | - pip install -q -e . 14 | 15 | script: 16 | - pytest -vv tests -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. Definitions. 8 | 9 | "License" shall mean the terms and conditions for use, reproduction, 10 | and distribution as defined by Sections 1 through 9 of this document. 11 | 12 | "Licensor" shall mean the copyright owner or entity authorized by 13 | the copyright owner that is granting the License. 14 | 15 | "Legal Entity" shall mean the union of the acting entity and all 16 | other entities that control, are controlled by, or are under common 17 | control with that entity. For the purposes of this definition, 18 | "control" means (i) the power, direct or indirect, to cause the 19 | direction or management of such entity, whether by contract or 20 | otherwise, or (ii) ownership of fifty percent (50%) or more of the 21 | outstanding shares, or (iii) beneficial ownership of such entity. 22 | 23 | "You" (or "Your") shall mean an individual or Legal Entity 24 | exercising permissions granted by this License. 25 | 26 | "Source" form shall mean the preferred form for making modifications, 27 | including but not limited to software source code, documentation 28 | source, and configuration files. 29 | 30 | "Object" form shall mean any form resulting from mechanical 31 | transformation or translation of a Source form, including but 32 | not limited to compiled object code, generated documentation, 33 | and conversions to other media types. 34 | 35 | "Work" shall mean the work of authorship, whether in Source or 36 | Object form, made available under the License, as indicated by a 37 | copyright notice that is included in or attached to the work 38 | (an example is provided in the Appendix below). 39 | 40 | "Derivative Works" shall mean any work, whether in Source or Object 41 | form, that is based on (or derived from) the Work and for which the 42 | editorial revisions, annotations, elaborations, or other modifications 43 | represent, as a whole, an original work of authorship. For the purposes 44 | of this License, Derivative Works shall not include works that remain 45 | separable from, or merely link (or bind by name) to the interfaces of, 46 | the Work and Derivative Works thereof. 47 | 48 | "Contribution" shall mean any work of authorship, including 49 | the original version of the Work and any modifications or additions 50 | to that Work or Derivative Works thereof, that is intentionally 51 | submitted to Licensor for inclusion in the Work by the copyright owner 52 | or by an individual or Legal Entity authorized to submit on behalf of 53 | the copyright owner. For the purposes of this definition, "submitted" 54 | means any form of electronic, verbal, or written communication sent 55 | to the Licensor or its representatives, including but not limited to 56 | communication on electronic mailing lists, source code control systems, 57 | and issue tracking systems that are managed by, or on behalf of, the 58 | Licensor for the purpose of discussing and improving the Work, but 59 | excluding communication that is conspicuously marked or otherwise 60 | designated in writing by the copyright owner as "Not a Contribution." 61 | 62 | "Contributor" shall mean Licensor and any individual or Legal Entity 63 | on behalf of whom a Contribution has been received by Licensor and 64 | subsequently incorporated within the Work. 65 | 66 | 2. Grant of Copyright License. Subject to the terms and conditions of 67 | this License, each Contributor hereby grants to You a perpetual, 68 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 69 | copyright license to reproduce, prepare Derivative Works of, 70 | publicly display, publicly perform, sublicense, and distribute the 71 | Work and such Derivative Works in Source or Object form. 72 | 73 | 3. Grant of Patent License. Subject to the terms and conditions of 74 | this License, each Contributor hereby grants to You a perpetual, 75 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 76 | (except as stated in this section) patent license to make, have made, 77 | use, offer to sell, sell, import, and otherwise transfer the Work, 78 | where such license applies only to those patent claims licensable 79 | by such Contributor that are necessarily infringed by their 80 | Contribution(s) alone or by combination of their Contribution(s) 81 | with the Work to which such Contribution(s) was submitted. If You 82 | institute patent litigation against any entity (including a 83 | cross-claim or counterclaim in a lawsuit) alleging that the Work 84 | or a Contribution incorporated within the Work constitutes direct 85 | or contributory patent infringement, then any patent licenses 86 | granted to You under this License for that Work shall terminate 87 | as of the date such litigation is filed. 88 | 89 | 4. Redistribution. You may reproduce and distribute copies of the 90 | Work or Derivative Works thereof in any medium, with or without 91 | modifications, and in Source or Object form, provided that You 92 | meet the following conditions: 93 | 94 | (a) You must give any other recipients of the Work or 95 | Derivative Works a copy of this License; and 96 | 97 | (b) You must cause any modified files to carry prominent notices 98 | stating that You changed the files; and 99 | 100 | (c) You must retain, in the Source form of any Derivative Works 101 | that You distribute, all copyright, patent, trademark, and 102 | attribution notices from the Source form of the Work, 103 | excluding those notices that do not pertain to any part of 104 | the Derivative Works; and 105 | 106 | (d) If the Work includes a "NOTICE" text file as part of its 107 | distribution, then any Derivative Works that You distribute must 108 | include a readable copy of the attribution notices contained 109 | within such NOTICE file, excluding those notices that do not 110 | pertain to any part of the Derivative Works, in at least one 111 | of the following places: within a NOTICE text file distributed 112 | as part of the Derivative Works; within the Source form or 113 | documentation, if provided along with the Derivative Works; or, 114 | within a display generated by the Derivative Works, if and 115 | wherever such third-party notices normally appear. The contents 116 | of the NOTICE file are for informational purposes only and 117 | do not modify the License. You may add Your own attribution 118 | notices within Derivative Works that You distribute, alongside 119 | or as an addendum to the NOTICE text from the Work, provided 120 | that such additional attribution notices cannot be construed 121 | as modifying the License. 122 | 123 | You may add Your own copyright statement to Your modifications and 124 | may provide additional or different license terms and conditions 125 | for use, reproduction, or distribution of Your modifications, or 126 | for any such Derivative Works as a whole, provided Your use, 127 | reproduction, and distribution of the Work otherwise complies with 128 | the conditions stated in this License. 129 | 130 | 5. Submission of Contributions. Unless You explicitly state otherwise, 131 | any Contribution intentionally submitted for inclusion in the Work 132 | by You to the Licensor shall be under the terms and conditions of 133 | this License, without any additional terms or conditions. 134 | Notwithstanding the above, nothing herein shall supersede or modify 135 | the terms of any separate license agreement you may have executed 136 | with Licensor regarding such Contributions. 137 | 138 | 6. Trademarks. This License does not grant permission to use the trade 139 | names, trademarks, service marks, or product names of the Licensor, 140 | except as required for reasonable and customary use in describing the 141 | origin of the Work and reproducing the content of the NOTICE file. 142 | 143 | 7. Disclaimer of Warranty. Unless required by applicable law or 144 | agreed to in writing, Licensor provides the Work (and each 145 | Contributor provides its Contributions) on an "AS IS" BASIS, 146 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or 147 | implied, including, without limitation, any warranties or conditions 148 | of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A 149 | PARTICULAR PURPOSE. You are solely responsible for determining the 150 | appropriateness of using or redistributing the Work and assume any 151 | risks associated with Your exercise of permissions under this License. 152 | 153 | 8. Limitation of Liability. In no event and under no legal theory, 154 | whether in tort (including negligence), contract, or otherwise, 155 | unless required by applicable law (such as deliberate and grossly 156 | negligent acts) or agreed to in writing, shall any Contributor be 157 | liable to You for damages, including any direct, indirect, special, 158 | incidental, or consequential damages of any character arising as a 159 | result of this License or out of the use or inability to use the 160 | Work (including but not limited to damages for loss of goodwill, 161 | work stoppage, computer failure or malfunction, or any and all 162 | other commercial damages or losses), even if such Contributor 163 | has been advised of the possibility of such damages. 164 | 165 | 9. Accepting Warranty or Additional Liability. While redistributing 166 | the Work or Derivative Works thereof, You may choose to offer, 167 | and charge a fee for, acceptance of support, warranty, indemnity, 168 | or other liability obligations and/or rights consistent with this 169 | License. However, in accepting such obligations, You may act only 170 | on Your own behalf and on Your sole responsibility, not on behalf 171 | of any other Contributor, and only if You agree to indemnify, 172 | defend, and hold each Contributor harmless for any liability 173 | incurred by, or claims asserted against, such Contributor by reason 174 | of your accepting any such warranty or additional liability. 175 | 176 | END OF TERMS AND CONDITIONS 177 | 178 | APPENDIX: How to apply the Apache License to your work. 179 | 180 | To apply the Apache License to your work, attach the following 181 | boilerplate notice, with the fields enclosed by brackets "[]" 182 | replaced with your own identifying information. (Don't include 183 | the brackets!) The text should be enclosed in the appropriate 184 | comment syntax for the file format. We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # PyTorch_BlazeFace 2 | 3 | [![Build Status](https://travis-ci.com/tkat0/PyTorch_BlazeFace.svg?branch=master)](https://travis-ci.com/tkat0/PyTorch_BlazeFace) 4 | 5 | Unofficial PyTorch implementation of [BlazeFace](https://sites.google.com/view/perception-cv4arvr/blazeface) 6 | 7 | ## Installation 8 | 9 | ```bash 10 | pip install git+https://github.com/tkat0/PyTorch_BlazeFace 11 | ``` 12 | 13 | ```python 14 | import torch 15 | from blazeface import BlazeFace 16 | 17 | x = torch.randn(1, 3, 128, 128) 18 | model = BlazeFace() 19 | h = model(x) 20 | ``` 21 | 22 | ## Paper 23 | ### BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs 24 | [[Project Page]](https://sites.google.com/view/perception-cv4arvr/blazeface) 25 | [[Original Implementation]](https://github.com/google/mediapipe/tree/master/mediapipe/models#blazeface-face-detection-model) 26 | -------------------------------------------------------------------------------- /blazeface/__init__.py: -------------------------------------------------------------------------------- 1 | __version__ = '0.1.0' 2 | __license__ = 'Apache-2.0' 3 | __author__ = 'tkat0' 4 | __url__ = 'https://github.com/tkat0/PyTorch_BlazeFace' 5 | 6 | from blazeface.model import BlazeFace, BlazeBlock 7 | from blazeface.mediapipe_implementation import MediaPipeBlazeFace 8 | -------------------------------------------------------------------------------- /blazeface/mediapipe_implementation.py: -------------------------------------------------------------------------------- 1 | from torch import nn 2 | 3 | from blazeface import BlazeBlock 4 | 5 | 6 | def initialize(module): 7 | # original implementation is unknown 8 | if isinstance(module, nn.Conv2d): 9 | nn.init.kaiming_normal_(module.weight.data) 10 | nn.init.constant_(module.bias.data, 0) 11 | elif isinstance(module, nn.BatchNorm2d): 12 | nn.init.constant_(module.weight.data, 1) 13 | nn.init.constant_(module.bias.data, 0) 14 | 15 | 16 | class MediaPipeBlazeFace(nn.Module): 17 | """Constructs a BlazeFace model of the MediaPipe implementation 18 | 19 | the original implementation 20 | https://github.com/google/mediapipe/tree/master/mediapipe/models#blazeface-face-detection-model 21 | """ 22 | 23 | def __init__(self): 24 | super(MediaPipeBlazeFace, self).__init__() 25 | 26 | self.features = nn.Sequential( 27 | nn.Conv2d(3, 24, kernel_size=5, stride=2, padding=2, bias=True), 28 | nn.BatchNorm2d(24), 29 | nn.ReLU(inplace=True), 30 | BlazeBlock(24, 24, kernel_size=3), 31 | BlazeBlock(24, 28, kernel_size=3), 32 | BlazeBlock(28, 32, kernel_size=3, stride=2), 33 | BlazeBlock(32, 36, kernel_size=3), 34 | BlazeBlock(36, 42, kernel_size=3), 35 | BlazeBlock(42, 48, kernel_size=3, stride=2), 36 | BlazeBlock(48, 56, kernel_size=3), 37 | BlazeBlock(56, 64, kernel_size=3), 38 | BlazeBlock(64, 72, kernel_size=3), 39 | BlazeBlock(72, 80, kernel_size=3), 40 | BlazeBlock(80, 88, kernel_size=3), 41 | BlazeBlock(88, 96, kernel_size=3, stride=2), 42 | BlazeBlock(96, 96, kernel_size=3), 43 | BlazeBlock(96, 96, kernel_size=3), 44 | BlazeBlock(96, 96, kernel_size=3), 45 | BlazeBlock(96, 96, kernel_size=3), 46 | ) 47 | 48 | self.apply(initialize) 49 | 50 | def forward(self, x): 51 | h = self.features(x) 52 | return h 53 | -------------------------------------------------------------------------------- /blazeface/model.py: -------------------------------------------------------------------------------- 1 | from torch import nn 2 | import torch.nn.functional as F 3 | 4 | 5 | class BlazeBlock(nn.Module): 6 | def __init__(self, inp, oup1, oup2=None, stride=1, kernel_size=5): 7 | super(BlazeBlock, self).__init__() 8 | self.stride = stride 9 | assert stride in [1, 2] 10 | 11 | self.use_double_block = oup2 is not None 12 | self.use_pooling = self.stride != 1 13 | 14 | if self.use_double_block: 15 | self.channel_pad = oup2 - inp 16 | else: 17 | self.channel_pad = oup1 - inp 18 | 19 | padding = (kernel_size - 1) // 2 20 | 21 | self.conv1 = nn.Sequential( 22 | # dw 23 | nn.Conv2d(inp, inp, kernel_size=kernel_size, stride=stride, padding=padding, groups=inp, bias=True), 24 | nn.BatchNorm2d(inp), 25 | # pw-linear 26 | nn.Conv2d(inp, oup1, 1, 1, 0, bias=True), 27 | nn.BatchNorm2d(oup1), 28 | ) 29 | self.act = nn.ReLU(inplace=True) 30 | 31 | if self.use_double_block: 32 | self.conv2 = nn.Sequential( 33 | nn.ReLU(inplace=True), 34 | # dw 35 | nn.Conv2d(oup1, oup1, kernel_size=kernel_size, stride=1, padding=padding, groups=oup1, bias=True), 36 | nn.BatchNorm2d(oup1), 37 | # pw-linear 38 | nn.Conv2d(oup1, oup2, 1, 1, 0, bias=True), 39 | nn.BatchNorm2d(oup2), 40 | ) 41 | 42 | if self.use_pooling: 43 | self.mp = nn.MaxPool2d(kernel_size=self.stride, stride=self.stride) 44 | 45 | def forward(self, x): 46 | h = self.conv1(x) 47 | if self.use_double_block: 48 | h = self.conv2(h) 49 | 50 | # skip connection 51 | if self.use_pooling: 52 | x = self.mp(x) 53 | if self.channel_pad > 0: 54 | x = F.pad(x, (0, 0, 0, 0, 0, self.channel_pad), 'constant', 0) 55 | return self.act(h + x) 56 | 57 | 58 | def initialize(module): 59 | # original implementation is unknown 60 | if isinstance(module, nn.Conv2d): 61 | nn.init.kaiming_normal_(module.weight.data) 62 | nn.init.constant_(module.bias.data, 0) 63 | elif isinstance(module, nn.BatchNorm2d): 64 | nn.init.constant_(module.weight.data, 1) 65 | nn.init.constant_(module.bias.data, 0) 66 | 67 | 68 | class BlazeFace(nn.Module): 69 | """Constructs a BlazeFace model 70 | 71 | the original paper 72 | https://sites.google.com/view/perception-cv4arvr/blazeface 73 | """ 74 | 75 | def __init__(self): 76 | super(BlazeFace, self).__init__() 77 | 78 | self.features = nn.Sequential( 79 | nn.Conv2d(3, 24, kernel_size=3, stride=2, padding=1, bias=True), 80 | nn.BatchNorm2d(24), 81 | nn.ReLU(inplace=True), 82 | BlazeBlock(24, 24), 83 | BlazeBlock(24, 24), 84 | BlazeBlock(24, 48, stride=2), 85 | BlazeBlock(48, 48), 86 | BlazeBlock(48, 48), 87 | BlazeBlock(48, 24, 96, stride=2), 88 | BlazeBlock(96, 24, 96), 89 | BlazeBlock(96, 24, 96), 90 | BlazeBlock(96, 24, 96, stride=2), 91 | BlazeBlock(96, 24, 96), 92 | BlazeBlock(96, 24, 96), 93 | ) 94 | 95 | self.apply(initialize) 96 | 97 | def forward(self, x): 98 | h = self.features(x) 99 | return h 100 | -------------------------------------------------------------------------------- /docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: "2.3" 2 | services: 3 | cpu: &cpu 4 | build: 5 | context: . 6 | dockerfile: docker/Dockerfile.cpu 7 | tty: true 8 | working_dir: /work 9 | volumes: 10 | - $PWD:/work 11 | test: 12 | <<: *cpu 13 | command: pytest tests -vv --basetemp tests_results 14 | -------------------------------------------------------------------------------- /docker/Dockerfile.cpu: -------------------------------------------------------------------------------- 1 | FROM python:3.6.8 2 | 3 | RUN pip install \ 4 | https://download.pytorch.org/whl/cpu/torch-1.1.0-cp36-cp36m-linux_x86_64.whl \ 5 | https://download.pytorch.org/whl/cpu/torchvision-0.3.0-cp36-cp36m-linux_x86_64.whl \ 6 | pytest 7 | 8 | COPY . /PyTorch_BlazeFace 9 | RUN pip install /PyTorch_BlazeFace -------------------------------------------------------------------------------- /setup.cfg: -------------------------------------------------------------------------------- 1 | [metadata] 2 | name = blazeface 3 | version = attr: blazeface.__version__ 4 | url = https://github.com/tkat0/PyTorch_BlazeFace 5 | author = tkat0 6 | author_email = tkato.dev@gmail.com 7 | maintainer = tkat0 8 | maintainer_email = tkato.dev@gmail.com 9 | license = Apache-2.0 10 | description = PyTorch implementation of BlazeFace 11 | long_description = file: README.md 12 | long_description_content_type=”text/markdown” 13 | 14 | [options] 15 | packages = find: 16 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup 2 | 3 | setup() 4 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/tkat0/PyTorch_BlazeFace/ea81d2e6d1b29cff2b77254f6f72f5c8d2f5f87d/tests/__init__.py -------------------------------------------------------------------------------- /tests/test_blazeface.py: -------------------------------------------------------------------------------- 1 | import torch 2 | 3 | from blazeface import BlazeFace, MediaPipeBlazeFace 4 | 5 | 6 | def test_forward(): 7 | x = torch.randn(1, 3, 128, 128) 8 | model = BlazeFace() 9 | h = model(x) 10 | 11 | assert h.detach().numpy().shape == (1, 96, 8, 8) 12 | 13 | 14 | def test_forward_original(): 15 | x = torch.randn(1, 3, 128, 128) 16 | model = MediaPipeBlazeFace() 17 | h = model(x) 18 | 19 | assert h.detach().numpy().shape == (1, 96, 8, 8) 20 | 21 | 22 | def test_export_onnx(tmpdir): 23 | p = str(tmpdir.join('blazeface.onnx')) 24 | 25 | x = torch.randn(1, 3, 128, 128) 26 | model = BlazeFace() 27 | torch.onnx.export(model, x, p, verbose=True, 28 | input_names=['input'], 29 | output_names=['output']) 30 | --------------------------------------------------------------------------------