From 1af989f1488af35d331432b936c8bdf9d5ddeff8 Mon Sep 17 00:00:00 2001 From: wxywb Date: Mon, 28 Mar 2022 16:49:25 +0800 Subject: [PATCH] refactor to new standard. Signed-off-by: wxywb --- .README.md.swp | Bin 0 -> 12288 bytes README.md | 68 ++++++++++++++++++++++++++++++++++++++++++- __init__.py | 26 +++++++++++++++++ inceptionresnetv1.py | 63 +++++++++++++++++++++++++++++++++++++++ requirements.txt | 5 ++++ result.png | Bin 0 -> 112349 bytes 6 files changed, 161 insertions(+), 1 deletion(-) create mode 100644 .README.md.swp create mode 100644 __init__.py create mode 100644 inceptionresnetv1.py create mode 100644 requirements.txt create mode 100644 result.png diff --git a/.README.md.swp b/.README.md.swp new file mode 100644 index 0000000000000000000000000000000000000000..f0871f02fb40688bedf9b8ec4d8b066f39c1abee GIT binary patch literal 12288 zcmeI2y>A>v7>CCxkOBk(NHjEWaB=6Ay=Oa;<5(04wvmiv2$n+%W7%`Nb9aMxcUCjA zXP=7@Dv)US_#3F8goclTf>0x9f{2kq0Tdwq1NhDE`fObSj+83Wocw6LyR$Rz`^>u| zTQ}|L*H>0)KAdIvoMr5}^Q-ND{=PW&{U&4kGD+mVyYc^@s$DErdGw-EJ5yJ*3KJFa zWaP2yRl`pC=FhP6voq7K zukq*4(KAn9ec*0=2i|};;0<^K-hemY4R{0IfH&~)7_j*mdkf*7szbh1AIC-KL>Gj{t?1ds3kFV#8x_#|ULfUm(< z;7jlY_!N8sZa%@-x8QT|8F(Aq09U~}cp0pK5IhV1I>XoapVi17~U=ExE z1Wti5Z~za^#n0dt_!wLV{^JdJ1Kxl);0<^K-hel7vVl7{-aEbC6D0Pm=8+XK$&`0- zp0-6C%d8u+`)I;~;69tJ9dCy}H}P|F1n7QE*g|J!AqW;I$ci){gjvkB=7Zp<3z_AG ztr7^Ut3eRRw7X?RW|YPW9=2+?Cq%eq2e~leipv&V1i=-qc`B^XZV<*UXVl@*F%hJ4 zp}AF>EZ-4^c-^4##SN9Cha~NxOheY0Jv2#e9_^4-R0oa_$H!?U!;o$y%#|tfTxmB6 zWpE3$Ei=14NwMhgB0*+`X6CRp@K~N?g{0oC*U#c%Hs?1nj zxciK4Z*McA(Dc-9bE5oBBqFlS24=1?*+4jr33|ibI4Qi1>JciR*=*KNl@qiTi%7*H zjQX=1jhx$FW0K0&RkOM%x`}Gnw>O)Ou!RU_!aVDi0k}Z(0dmP;_L`P3z{#LyD3`fN zWF}}=+8$;iPh^BLD5uG^RAEt;hBDXGO6!TM0NR&;QD-ynZZ| zI)!^?Ky?ak5{L224E2;E{EkEs8aqftu)x^S;@~11T_LEWRZ54p-psp=kjmL!gm7Bk z&th*O~ SWOu!LJK$@$T)bMZH|$?<7C86- literal 0 HcmV?d00001 diff --git a/README.md b/README.md index fa47a5d..379ec2b 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,68 @@ -# inceptionresnetv1 +# Inception-ResNet v1 Face Embedding Operator + +*author: David Wang* + + + +## Desription + +This operator extracts embedding vector from facial image using [Inception-ResNet](https://arxiv.org/pdf/1602.07261.pdf). The implementation is an adaptation from [timesler/facenet-pytorch](https://github.com/timesler/facenet-pytorch). + +## Code Example + +Extract face image embedding from './img.png'. + + *Write the pipeline in simplified style*: + +```python +import towhee + +towhee.glob('./img.png') \ + .image_decode.cv2() \ + .face_embedding.inceptionresnetv1() \ + .tolist() +``` + +*Write a same pipeline with explicit inputs/outputs name specifications:* + +```python +import towhee + +towhee.glob['path']('./img.png') \ + .image_decode.cv2['path', 'img']() \ + .face_embedding.inceptionresnetv1['img', 'vec']() \ + .select('img','vec') \ + .show() +``` +result + + +## Factory Constructor + +Create the operator via the following factory method + +***face_embedding.inceptionresnetv1(image_size = 160)*** + +**Parameters:** + +***image_size***: *int* + +Scaled input image size to extract embedding. The higher resolution would generate the more discriminateive feature but cost more time to calculate. + +supported types: `int`, default is 160. + + +## Interface + +A face embedding operator takes a face image as input. It extracts the embedding back to ndarray. + +**Parameters:** + +​ ***img***: *towhee.types.Image (a sub-class of numpy.ndarray)* + +​ The input image. + +**Returns**: *numpy.ndarray* + +​ The extracted image embedding. diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..ee3d38b --- /dev/null +++ b/__init__.py @@ -0,0 +1,26 @@ +# Copyright 2021 Zilliz. 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. + +# import os + +# # For requirements. +# try: +# import efficientnet_pytorch +# except ModuleNotFoundError: +# os.system('pip install efficientnet_pytorch') +from .inceptionresnetv1 import Inceptionresnetv1 + +def inceptionresnetv1(image_size = 160 ): + return Inceptionresnetv1(image_size) + diff --git a/inceptionresnetv1.py b/inceptionresnetv1.py new file mode 100644 index 0000000..ceddb4a --- /dev/null +++ b/inceptionresnetv1.py @@ -0,0 +1,63 @@ +# Copyright 2021 Zilliz. 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. +from typing import NamedTuple + +import numpy as np +import torch +import cv2 +from facenet_pytorch import InceptionResnetV1 + +from towhee import register +from towhee.operator import NNOperator +from towhee.types.image_utils import to_pil +from towhee._types import Image +from towhee.types import arg, to_image_color + +@register(output_schema=['vec']) +class Inceptionresnetv1(NNOperator): + """ + comment placeholder + """ + def __init__(self, image_size = 160): + self.image_size = image_size + self._model = InceptionResnetV1(pretrained='vggface2') + self._model.eval() + + @arg(1, to_image_color('RGB') ) + def __call__(self, img: Image) -> np.ndarray: + img = self.preprocess(img) + embs = self._model(torch.FloatTensor(img).permute(0,3,1,2)).detach().numpy() + return embs + + def preprocess(self, img: Image): + #img shape expected to be [n, h, w, c=3] or [h, w, c=3]. + if len(img.shape) == 3: + img = cv2.resize(img, (self.image_size, self.image_size)) + img = np.expand_dims(img, 0) + elif len(img.shape) == 4: + pass + else: + raise ValueError('unknown tensor shape, need to be [n, h, w, c=3] or [h, w, c=3].') + img = self._fixed_image_standardization(img) + return img + + def _fixed_image_standardization(self, image_tensor): + processed_tensor = (image_tensor - 127.5) / 128.0 + return processed_tensor + + def train(self): + """ + For training model + """ + pass diff --git a/requirements.txt 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