├── Dockerfile
├── LICENSE
├── README.md
├── __pycache__
├── util.cpython-36.pyc
└── util.cpython-37.pyc
├── category_code.json
├── index.py
├── requirement.txt
├── static
├── css
│ └── main.css
└── js
│ └── main.js
├── templates
├── base.html
└── index.html
├── util.py
└── util.pyc
/Dockerfile:
--------------------------------------------------------------------------------
1 | FROM ubuntu:16.04
2 |
3 | # Install Python.
4 | RUN \
5 | apt-get update && \
6 | apt-get install -y python python-dev python-pip python-virtualenv && \
7 | rm -rf /var/lib/apt/lists/*
8 |
9 | WORKDIR app
10 |
11 | # reqs from file, to speed up dev iteration
12 | RUN pip install Werkzeug Flask numpy Keras gevent pillow h5py tensorflow
13 |
14 | COPY . .
15 |
16 | RUN pip install -r requirements.txt
17 |
18 | ENTRYPOINT [ "python" , "app.py"]
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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560 | section 13, concerning interaction through a network will apply to the
561 | combination as such.
562 |
563 | 14. Revised Versions of this License.
564 |
565 | The Free Software Foundation may publish revised and/or new versions of
566 | the GNU General Public License from time to time. Such new versions will
567 | be similar in spirit to the present version, but may differ in detail to
568 | address new problems or concerns.
569 |
570 | Each version is given a distinguishing version number. If the
571 | Program specifies that a certain numbered version of the GNU General
572 | Public License "or any later version" applies to it, you have the
573 | option of following the terms and conditions either of that numbered
574 | version or of any later version published by the Free Software
575 | Foundation. If the Program does not specify a version number of the
576 | GNU General Public License, you may choose any version ever published
577 | by the Free Software Foundation.
578 |
579 | If the Program specifies that a proxy can decide which future
580 | versions of the GNU General Public License can be used, that proxy's
581 | public statement of acceptance of a version permanently authorizes you
582 | to choose that version for the Program.
583 |
584 | Later license versions may give you additional or different
585 | permissions. However, no additional obligations are imposed on any
586 | author or copyright holder as a result of your choosing to follow a
587 | later version.
588 |
589 | 15. Disclaimer of Warranty.
590 |
591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
599 |
600 | 16. Limitation of Liability.
601 |
602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
610 | SUCH DAMAGES.
611 |
612 | 17. Interpretation of Sections 15 and 16.
613 |
614 | If the disclaimer of warranty and limitation of liability provided
615 | above cannot be given local legal effect according to their terms,
616 | reviewing courts shall apply local law that most closely approximates
617 | an absolute waiver of all civil liability in connection with the
618 | Program, unless a warranty or assumption of liability accompanies a
619 | copy of the Program in return for a fee.
620 |
621 | END OF TERMS AND CONDITIONS
622 |
623 | How to Apply These Terms to Your New Programs
624 |
625 | If you develop a new program, and you want it to be of the greatest
626 | possible use to the public, the best way to achieve this is to make it
627 | free software which everyone can redistribute and change under these terms.
628 |
629 | To do so, attach the following notices to the program. It is safest
630 | to attach them to the start of each source file to most effectively
631 | state the exclusion of warranty; and each file should have at least
632 | the "copyright" line and a pointer to where the full notice is found.
633 |
634 |
635 | Copyright (C)
636 |
637 | This program is free software: you can redistribute it and/or modify
638 | it under the terms of the GNU General Public License as published by
639 | the Free Software Foundation, either version 3 of the License, or
640 | (at your option) any later version.
641 |
642 | This program is distributed in the hope that it will be useful,
643 | but WITHOUT ANY WARRANTY; without even the implied warranty of
644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
645 | GNU General Public License for more details.
646 |
647 | You should have received a copy of the GNU General Public License
648 | along with this program. If not, see .
649 |
650 | Also add information on how to contact you by electronic and paper mail.
651 |
652 | If the program does terminal interaction, make it output a short
653 | notice like this when it starts in an interactive mode:
654 |
655 | Copyright (C)
656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
657 | This is free software, and you are welcome to redistribute it
658 | under certain conditions; type `show c' for details.
659 |
660 | The hypothetical commands `show w' and `show c' should show the appropriate
661 | parts of the General Public License. Of course, your program's commands
662 | might be different; for a GUI interface, you would use an "about box".
663 |
664 | You should also get your employer (if you work as a programmer) or school,
665 | if any, to sign a "copyright disclaimer" for the program, if necessary.
666 | For more information on this, and how to apply and follow the GNU GPL, see
667 | .
668 |
669 | The GNU General Public License does not permit incorporating your program
670 | into proprietary programs. If your program is a subroutine library, you
671 | may consider it more useful to permit linking proprietary applications with
672 | the library. If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License. But first, please read
674 | .
675 |
--------------------------------------------------------------------------------
/README.md:
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1 | # 케라스 모델을 Flask서버에 올리기
2 |
3 |
4 | []()
5 | [](http://perso.crans.org/besson/LICENSE.html)
6 |
7 | > 거의 모든 코드는 https://github.com/mtobeiyf/keras-flask-deploy-webapp 를 수정한 것 입니다.
8 | ------------------
9 |
10 | ## Changelog
11 | - aws s3에 저장된 모델을 불러 사용 가능
12 | - index.py 에 argparse 추가
13 | -- port: 포트지정 (default=8080)
14 | --model_path: 경로 모델에 있는 모델 사용(default=/tmp/model.h5)
15 | --framework: keras(케라스 모델 사용) / pytorch(pytorch 모델 사용) (default=keras)
16 | --from_s3: s3에 있는 모델을 로컬 파일로 저장 후 사용. default 저장경로 /tmp/model.h5
17 | - static/js/main.js 로직을 1개에서 3개의 카테고리가 나오게 변경
18 |
19 | example usage:
20 | ```shell
21 | python index.py --port 8080 --from_s3 s3://your_bucket/path_to_model --model_path /tmp/keras/model.h5
22 | ```
23 |
24 |
25 | ------------------
26 |
27 | ## Docker Installation
28 |
29 | Build the image
30 |
31 | ```shell
32 | cd keras-flask-deploy-webapp
33 | docker build -t keras_flask .
34 | docker run -e MODEL_PATH=models/your_model.h5 -p 5000:5000
35 | ```
36 |
37 | You can mount your model into the container.
38 |
39 | ```shell
40 | docker run -e MODEL_PATH=/mnt/models/your_model.h5 -v volume-name:/mnt/models -p 5000:5000 keras_flask
41 | ```
42 |
43 |
44 | ## Local Installation
45 |
46 | ### Clone the repo
47 | ```shell
48 | $ git clone https://github.com/JeonCS/keras-flask-deployment.git
49 | ```
50 |
51 | ### Install requirements
52 |
53 | ```shell
54 | $ pip install -r requirements.txt
55 | ```
56 |
57 | Make sure you have the following installed:
58 | - tensorflow
59 | - keras
60 | - flask
61 | - pillow
62 | - h5py
63 | - gevent
64 | - boto3
65 |
66 | ### Run with Python
67 |
68 | Python 2.7 or 3.5+ are supported and tested.
69 |
70 | ```shell
71 | $ python index.py
72 | ```
73 |
74 | ------------------
75 |
76 | ## Customization
77 |
78 | ### Use your own model
79 |
80 | Place your trained `.h5` file saved by `model.save()` under models directory.
81 |
82 | Check the [commented code](https://github.com/mtobeiyf/keras-flask-deploy-webapp/blob/master/app.py#L25) in app.py.
83 |
84 |
85 | ### Use other pre-trained model
86 |
87 | See [Keras applications](https://keras.io/applications/) for more available models such as DenseNet, MobilNet, NASNet, etc.
88 |
89 | Check [this section](https://github.com/mtobeiyf/keras-flask-deploy-webapp/blob/master/app.py#L25) in app.py.
90 |
91 | ### UI Modification
92 |
93 | Modify files in `templates` and `static` directory.
94 |
95 | `index.html` for the UI and `main.js` for all the behaviors
96 |
97 | ## Deployment
98 |
99 | To deploy it for public use, you need to have a public **linux server**.
100 |
101 | ### Run the app
102 |
103 | Run the script and hide it in background with `tmux` or `screen`.
104 | ```
105 | $ python app.py
106 | ```
107 |
108 | You can also use gunicorn instead of gevent
109 | ```
110 | $ gunicorn -b 127.0.0.1:5000 app:app
111 | ```
112 |
113 | More deployment options, check [here](http://flask.pocoo.org/docs/0.12/deploying/wsgi-standalone/)
114 |
115 | ### Set up Nginx
116 |
117 | To redirect the traffic to your local app.
118 | Configure your Nginx `.conf` file.
119 | ```
120 | server {
121 | listen 80;
122 |
123 | client_max_body_size 20M;
124 |
125 | location / {
126 | proxy_pass http://127.0.0.1:5000;
127 | }
128 | }
129 | ```
130 |
131 | ## More resources
132 |
133 | Check Siraj's ["How to Deploy a Keras Model to Production"](https://youtu.be/f6Bf3gl4hWY) video. The corresponding [repo](https://github.com/llSourcell/how_to_deploy_a_keras_model_to_production).
134 |
135 | [Building a simple Keras + deep learning REST API](https://blog.keras.io/building-a-simple-keras-deep-learning-rest-api.html)
136 |
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/category_code.json:
--------------------------------------------------------------------------------
1 | {"0": "b \ub18d\uc218\uc0b0\ubb3c", "1": "\ubdf0\ud2f0/\ubbf8\uc6a9", "2": "\ub3c4\uc11c/\ud2f0\ucf13/\uc74c\ubc18", "3": "b \uc804\uc2dc/\uacf5\uc5f0/\ud589\uc0ac", "4": "\ub514\uc9c0\ud138/\uac00\uc804", "5": "\uac00\uad6c/\uc778\ud14c\ub9ac\uc5b4", "6": "\uac8c\uc784/\ucde8\ubbf8", "7": "b \ub3d9\ub124 \uad6c\uc778\uad6c\uc9c1", "8": "\uc720\uc544\ub3d9/\uc720\uc544\ub3c4\uc11c", "9": "\uc0dd\ud65c/\uac00\uacf5\uc2dd\ud488", "10": "\ub0a8\uc131\ud328\uc158/\uc7a1\ud654", "11": "b \uc911\uace0\ucc28/\uc624\ud1a0\ubc14\uc774", "12": "\ubc18\ub824\ub3d9\ubb3c\uc6a9\ud488", "13": "b \ubd80\ub3d9\uc0b0", "14": "b \uc9c0\uc5ed\uc5c5\uccb4 \uc18c\uac1c", "15": "\uc2a4\ud3ec\uce20/\ub808\uc838", "16": "b \uacfc\uc678/\ud074\ub798\uc2a4", "18": "\uc5ec\uc131\uc758\ub958", "19": "\uc5ec\uc131\uc7a1\ud654"}
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/index.py:
--------------------------------------------------------------------------------
1 | # -*- coding: utf-8 -*-
2 | from flask import Flask, request, render_template, jsonify
3 | from util import *
4 | import time
5 | import argparse
6 |
7 |
8 | ACCESS_KEY = os.environ.get('S3_KEY')
9 | SECRET_KEY = os.environ.get('S3_ACCESS_SECRET_KEY')
10 |
11 | # parser
12 | parser = argparse.ArgumentParser(description="Model performance demo on Flask")
13 | parser.add_argument("--port", default=8080, help="port number to run the application", type=int)
14 | parser.add_argument("--model_path", default='model/model.h5', help="path to model used in demo", type=str)
15 | parser.add_argument("--framework", default='keras', help="Keras or Pytorch", type=str)
16 | parser.add_argument("--from_s3", help="download model from s3 and use the model if needed", type=str)
17 | args = parser.parse_args()
18 |
19 | app = Flask(__name__)
20 |
21 | @app.route("/")
22 | def index():
23 | return render_template("index.html")
24 |
25 | @app.route("/predict", methods=["POST"])
26 | def predict():
27 | data = {}
28 | cat_code = read_json('category_code.json')
29 | if request.method == "POST":
30 | if 'file' not in request.files:
31 | print(u'파일 없음')
32 |
33 | else:
34 | print(u'파일 업로드')
35 | # read the image in PIL format
36 | image = request.files["file"].read()
37 |
38 | print(u'이미지 전처리')
39 | timer = time.time()
40 | # preprocess the image and prepare it for classification
41 | image = prepare_image(image)
42 | print(u'이미지 처리 시간 {}'.format(time.time() - timer))
43 |
44 | # classify the input image and then initialize the list
45 | # of predictions to return to the client
46 | print(u'추론 시작')
47 | timer = time.time()
48 | preds = model.predict(image)
49 | results = parse_result(preds, cat_code)
50 | print(u'추론 처리 시간 {}'.format(time.time() - timer))
51 |
52 | # loop over the results and add them to the list of
53 | # returned predictions
54 | data["predictions"] = []
55 | for (label, prob) in results:
56 | r = {"label": label, "probability": "{:.1f}".format(prob*100)}
57 | data["predictions"].append(r)
58 |
59 | # return the data dictionary as a JSON response
60 | return jsonify(data).data
61 |
62 | if __name__ == "__main__":
63 | if args.from_s3:
64 | dl_from_s3(args.from_s3, args.model_path)
65 |
66 | model = load_model_global(args.model_path, args.framework)
67 |
68 | # run the server with the specified port
69 | run_server(app, args.port)
70 |
71 |
--------------------------------------------------------------------------------
/requirement.txt:
--------------------------------------------------------------------------------
1 | absl-py==0.6.1
2 | astor==0.7.1
3 | boto3==1.9.71
4 | botocore==1.12.71
5 | certifi==2018.11.29
6 | Click==7.0
7 | docutils==0.14
8 | Flask==1.0.2
9 | gast==0.2.0
10 | gevent==1.3.7
11 | greenlet==0.4.15
12 | grpcio==1.16.1
13 | h5py==2.9.0
14 | itsdangerous==1.1.0
15 | Jinja2==2.10
16 | jmespath==0.9.3
17 | Keras-Applications==1.0.6
18 | Keras-Preprocessing==1.0.5
19 | Markdown==3.0.1
20 | MarkupSafe==1.1.0
21 | mkl-fft==1.0.6
22 | mkl-random==1.0.2
23 | numpy==1.15.4
24 | Pillow==5.3.0
25 | protobuf==3.6.1
26 | python-dateutil==2.7.5
27 | s3transfer==0.1.13
28 | scipy==1.1.0
29 | six==1.12.0
30 | tensorboard==1.12.1
31 | tensorflow==1.12.0
32 | termcolor==1.1.0
33 | urllib3==1.24.1
34 | Werkzeug==0.14.1
35 |
--------------------------------------------------------------------------------
/static/css/main.css:
--------------------------------------------------------------------------------
1 | .img-preview {
2 | width: 256px;
3 | height: 256px;
4 | position: relative;
5 | border: 5px solid #F8F8F8;
6 | box-shadow: 0px 2px 4px 0px rgba(0, 0, 0, 0.1);
7 | margin-top: 1em;
8 | margin-bottom: 1em;
9 | }
10 |
11 | .img-preview>div {
12 | width: 100%;
13 | height: 100%;
14 | background-size: 256px 256px;
15 | background-repeat: no-repeat;
16 | background-position: center;
17 | }
18 |
19 | input[type="file"] {
20 | display: none;
21 | }
22 |
23 | .upload-label{
24 | display: inline-block;
25 | padding: 12px 30px;
26 | background: #39D2B4;
27 | color: #fff;
28 | font-size: 1em;
29 | transition: all .4s;
30 | cursor: pointer;
31 | }
32 |
33 | .upload-label:hover{
34 | background: #34495E;
35 | color: #39D2B4;
36 | }
37 |
38 | .loader {
39 | border: 8px solid #f3f3f3; /* Light grey */
40 | border-top: 8px solid #3498db; /* Blue */
41 | border-radius: 50%;
42 | width: 50px;
43 | height: 50px;
44 | animation: spin 1s linear infinite;
45 | }
46 |
47 | @keyframes spin {
48 | 0% { transform: rotate(0deg); }
49 | 100% { transform: rotate(360deg); }
50 | }
--------------------------------------------------------------------------------
/static/js/main.js:
--------------------------------------------------------------------------------
1 | $(document).ready(function () {
2 | // Init
3 | $('.image-section').hide();
4 | $('.loader').hide();
5 | $('#result').hide();
6 |
7 | // Upload Preview
8 | function readURL(input) {
9 | if (input.files && input.files[0]) {
10 | var reader = new FileReader();
11 | reader.onload = function (e) {
12 | $('#imagePreview').css('background-image', 'url(' + e.target.result + ')');
13 | $('#imagePreview').hide();
14 | $('#imagePreview').fadeIn(650);
15 | }
16 | reader.readAsDataURL(input.files[0]);
17 | }
18 | }
19 | $("#imageUpload").change(function () {
20 | $('.image-section').show();
21 | $('#btn-predict').show();
22 | $('#result').text('');
23 | $('#result').hide();
24 | readURL(this);
25 | });
26 |
27 | // Predict
28 | $('#btn-predict').click(function (e) {
29 | e.preventDefault();
30 |
31 | var form_data = new FormData($('#upload-file')[0]);
32 |
33 | // Show loading animation
34 | $(this).hide();
35 | $('.loader').show();
36 |
37 | // Make prediction by calling api /predict
38 | $.ajax({
39 | type: 'POST',
40 | url: '/predict',
41 | data: form_data,
42 | contentType: false,
43 | cache: false,
44 | processData: false,
45 | async: true,
46 | success: function (data) {
47 | // Get and display the result
48 | $('.loader').hide();
49 | $('#result').fadeIn(600);
50 | $('#result').text('결과:');
51 | $('#result').append(' ')
52 | var result = JSON.parse(data);
53 | result.predictions.forEach(function(elem) {
54 | $('#result').append(elem.label + ' : ' +elem.probability + '% ');
55 | });
56 |
57 | console.log('Success!');
58 | },
59 | });
60 | });
61 |
62 | });
63 |
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/templates/base.html:
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1 |
2 |
3 |
4 |
5 |
6 |
7 | 카테고리 추론 데모
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |