43 |
44 |
45 |
--------------------------------------------------------------------------------
/web/index.css:
--------------------------------------------------------------------------------
1 | a {
2 | text-decoration: none
3 | }
4 |
5 | body {
6 | background: wheat;
7 | background-attachment: fixed;
8 | background-repeat: no-repeat;
9 | background-size: cover;
10 | background-position: center;
11 | }
12 |
13 | .logo {
14 | position: absolute;
15 | height: 100px;
16 | width: 100px;
17 | margin: 10px 0 0 30px;
18 | }
19 |
20 | .divImg {
21 | margin: 40px 20% 0 20%;
22 | border: black 10px solid;
23 | height: 600px;
24 | width: 930px;
25 | background: white;
26 | border-radius: 125px 125px;
27 |
28 | }
29 |
30 | .divImage {
31 | position: relative;
32 | width: 33%;
33 | height: 100%;
34 | float: left;
35 | display: flex;
36 | align-items: center;
37 | text-align: center;
38 | }
39 |
40 | .divButton {
41 | position: relative;
42 | width: 33%;
43 | float: left;
44 | text-align: center;
45 | }
46 |
47 | .image {
48 | overflow: hidden;
49 | position: absolute;
50 | left: 50%;
51 | transform: translate(-50%);
52 | }
53 |
54 | .btn {
55 | position: relative;
56 | display: inline-block;
57 | padding: 12px 24px;
58 | font-size: 18px;
59 | line-height: 1.42857143;
60 | text-align: center;
61 | vertical-align: middle;
62 | font-weight: 400;
63 | color: #fff;
64 | background-color: #627aad;
65 | border: 1px solid #627aad;
66 | border-radius: 25px 25px;
67 | }
68 |
69 | .div2 {
70 | position: relative;
71 | margin: 10px 20% 0 20%;
72 | width: 930px;
73 | }
74 |
75 | .btn:hover {
76 | cursor: pointer;
77 | }
78 |
79 | .btn-danger {
80 | background-color: #de815c;
81 | border-color: #de815c;
82 | }
83 |
84 | .btn-disable:hover {
85 | cursor: default;
86 | }
87 |
88 | .btn-disable {
89 | background-color: gray;
90 | border-color: gray;
91 | }
92 |
93 | .image {
94 | margin-top: 15px;
95 | margin-bottom: 15px;
96 | display: none;
97 | }
--------------------------------------------------------------------------------
/backend/README.md:
--------------------------------------------------------------------------------
1 | # backend
2 |
3 | ## API
4 |
5 | ### Base URL
6 |
7 | ***http://matting.zsyhh.com:4800/***
8 |
9 | * note: status is boolean
10 |
11 | ### sample status false response
12 | ```JSON
13 | {
14 | "status": false,
15 | "msg": ""
16 | }
17 | ```
18 |
19 | ### upload:
20 |
21 | upload a file, matting and return result img download url
22 |
23 | ***url: /api/v1/upload***
24 |
25 | **request: multipart/form-data**
26 | ```
27 | POST /api/v1/upload HTTP/1.1
28 | Host: matting.zsyhh.com:4800
29 | Content-Type: multipart/form-data; boundary=----WebKitFormBoundary7MA4YWxkTrZu0gW
30 | Cache-Control: no-cache
31 | Postman-Token: e13af909-95f6-410b-94f2-37461629f6bb
32 |
33 | ------WebKitFormBoundary7MA4YWxkTrZu0gW
34 | Content-Disposition: form-data; name="file"; filename="test.png"
35 | Content-Type: image/png
36 |
37 |
38 | ------WebKitFormBoundary7MA4YWxkTrZu0gW--
39 | ```
40 |
41 | **return**
42 |
43 | ```JSON
44 | {
45 | "status": true,
46 | "data": "http://matting.zsyhh.com:4800/download/7pG7qdfUpvcKN2i0YpuzIUVk9sGURtDu.png"
47 | }
48 | ```
49 |
50 | ### image synthesis:
51 |
52 | upload a background image and synthesis it with an alpha image
53 |
54 | ***url: /api/v1/synthesis***
55 |
56 | **request: multipart/form-data**
57 | ```
58 | file (background image)
59 | fg_path (an url that already exists at server. For example http://matting.zsyhh.com:4800/download/7pG7qdfUpvcKN2i0YpuzIUVk9sGURtDu.png)
60 | ```
61 | raw
62 | ```
63 | POST /api/v1/synthesis HTTP/1.1
64 | Host: matting.zsyhh.com:4800
65 | Cache-Control: no-cache
66 | Postman-Token: 874546e2-d496-4462-a789-910601a931a8
67 | Content-Type: multipart/form-data; boundary=----WebKitFormBoundary7MA4YWxkTrZu0gW
68 |
69 | ------WebKitFormBoundary7MA4YWxkTrZu0gW
70 | Content-Disposition: form-data; name="file"; filename=""
71 | Content-Type:
72 |
73 |
74 | ------WebKitFormBoundary7MA4YWxkTrZu0gW
75 | Content-Disposition: form-data; name="fg_path"
76 |
77 | http://matting.zsyhh.com:4800/download/7pG7qdfUpvcKN2i0YpuzIUVk9sGURtDu.png
78 | ------WebKitFormBoundary7MA4YWxkTrZu0gW--
79 | ```
80 |
81 | **return**
82 |
83 | ```JSON
84 | {
85 | "status": true,
86 | "data": "http://matting.zsyhh.com:4800/download/sc8jdxdQ1gdyME1BVkj9B9HqHGo_Cih_.png"
87 | }
88 | ```
89 |
90 | ## Appendix
91 | * note: all status false msg is following:(String)
92 | ```
93 | invalid_file
94 | invalid_params
95 | ```
96 |
97 |
98 |
--------------------------------------------------------------------------------
/backend/backend.py:
--------------------------------------------------------------------------------
1 | # decoding=utf-8
2 | import base64
3 | import json
4 | import os
5 | import sys
6 |
7 | from flask import Flask, request
8 | from flask_cors import CORS
9 |
10 | from algorithm import measure_pb
11 |
12 | app = Flask(__name__)
13 | # max file length 100MB
14 | app.config['MAX_CONTENT_LENGTH'] = 100 * 1024 * 1024
15 | CORS(app)
16 |
17 | sys.path.append("../algorithm/")
18 |
19 | os.makedirs("/tmp/zju_ai_img/upload", mode=0o777, exist_ok=True)
20 | os.makedirs("/tmp/zju_ai_img/download", mode=0o777, exist_ok=True)
21 |
22 |
23 | def make_status_false(msg):
24 | return json.dumps({
25 | "status": False,
26 | "msg": msg
27 | })
28 |
29 |
30 | @app.route('/api/v1/upload', methods=['GET', 'POST'])
31 | def upload():
32 | file = request.files.get('file')
33 | if not file:
34 | return make_status_false("invalid_file")
35 |
36 | filename = base64.b64encode(os.urandom(24)).decode('utf-8').replace("/", "_") + ".png"
37 | file.save(os.path.join("/tmp/zju_ai_img/upload", filename))
38 |
39 | measure_pb.run(os.path.join("/tmp/zju_ai_img/upload", filename),
40 | os.path.join("/tmp/zju_ai_img/download", filename))
41 |
42 | return json.dumps({
43 | "status": True,
44 | "data": "http://matting.zsyhh.com:4800/download/{}".format(filename)
45 | })
46 |
47 |
48 | @app.route('/api/v1/synthesis', methods=['GET', 'POST'])
49 | def synthesis():
50 | file = request.files.get('file')
51 | if not file:
52 | return make_status_false("invalid_file")
53 |
54 | fg_path = request.values.get("fg_path")
55 | if not fg_path:
56 | return make_status_false("invalid_params")
57 |
58 | base_url = "http://matting.zsyhh.com:4800/download"
59 | fg_filename = fg_path[len(base_url) + 1:]
60 | if not fg_filename:
61 | return make_status_false("invalid_params")
62 |
63 | bg_filename = base64.b64encode(os.urandom(24)).decode('utf-8').replace("/", "_") + ".png"
64 | output_filename = base64.b64encode(os.urandom(24)).decode('utf-8').replace("/", "_") + ".png"
65 | file.save(os.path.join("/tmp/zju_ai_img/upload", bg_filename))
66 |
67 | measure_pb.image_synthesis(os.path.join("/tmp/zju_ai_img/download", fg_filename),
68 | os.path.join("/tmp/zju_ai_img/upload", bg_filename),
69 | os.path.join("/tmp/zju_ai_img/download", output_filename))
70 |
71 | return json.dumps({
72 | "status": True,
73 | "data": "http://matting.zsyhh.com:4800/download/{}".format(output_filename)
74 | })
75 |
76 |
77 | app.run(host='0.0.0.0', port=80)
78 |
--------------------------------------------------------------------------------
/algorithm/measure_pb.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python
2 | # -*- coding: utf-8 -*-
3 | # @Time : 2019-07-26 16:50
4 | # @Author : erichym
5 | # @Company : juphoon.com.cn
6 | # @File : measure_pb.py
7 | import tensorflow as tf
8 | import numpy as np
9 | from tensorflow.python.platform import gfile
10 | import cv2
11 |
12 | from algorithm.definitions import absolute
13 |
14 | output_graph_def = tf.GraphDef()
15 | output_graph_path = absolute('pb_model/matting_model.pb')
16 |
17 | with gfile.FastGFile(output_graph_path, "rb") as f:
18 | output_graph_def.ParseFromString(f.read())
19 | # fix nodes
20 | for node in output_graph_def.node:
21 | if node.op == 'RefSwitch':
22 | node.op = 'Switch'
23 | elif node.op == 'AssignSub':
24 | node.op = 'Sub'
25 | if 'use_locking' in node.attr: del node.attr['use_locking']
26 | elif node.op == 'AssignAdd':
27 | node.op = 'Add'
28 | if 'use_locking' in node.attr: del node.attr['use_locking']
29 | _ = tf.import_graph_def(output_graph_def, name="")
30 | sess = tf.Session()
31 | sess.run(tf.global_variables_initializer())
32 |
33 |
34 | def make(img_path, mask_path, output_path):
35 | img = cv2.imread(img_path)
36 | alpha_mask = cv2.imread(mask_path, cv2.IMREAD_GRAYSCALE)
37 | print(img.shape)
38 | print(alpha_mask.shape)
39 | b, g, r = cv2.split(img)
40 | img_BGRA = cv2.merge((b, g, r, alpha_mask))
41 | cv2.imwrite(output_path, img_BGRA)
42 |
43 |
44 | def image_synthesis(foreground_img_path, background_img_path, output_img_path):
45 | fore_img = cv2.imread(foreground_img_path, cv2.IMREAD_UNCHANGED).astype(float)
46 | back_img = cv2.imread(background_img_path).astype(float)
47 |
48 | w, h, c = fore_img.shape
49 | back_img = cv2.resize(back_img, (h, w), interpolation=cv2.INTER_CUBIC)
50 |
51 | b, g, r, alpha = cv2.split(fore_img)
52 | alpha = cv2.merge([alpha, alpha, alpha])
53 | alpha = alpha.astype(float) / 255
54 |
55 | fore_img = cv2.merge([b, g, r])
56 | fore_img = cv2.multiply(alpha, fore_img)
57 |
58 | back_img = cv2.multiply(1.0 - alpha, back_img)
59 |
60 | out_img = cv2.add(fore_img, back_img)
61 |
62 | cv2.imwrite(output_img_path, out_img)
63 |
64 |
65 | def run(input_img_path, output_img_path):
66 | input_tensor = sess.graph.get_tensor_by_name("image_holder:0")
67 | output_tensor = sess.graph.get_tensor_by_name("output/score:0")
68 |
69 | # img=Image.open(img_path)
70 | # w,h=img.size
71 | # img=img.resize((256,256),Image.BICUBIC)
72 |
73 | img = cv2.imread(input_img_path)
74 | img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
75 | w, h, c = img.shape
76 | img_array = cv2.resize(img, (256, 256), interpolation=cv2.INTER_CUBIC)
77 |
78 | img_array = img_array[np.newaxis, :]
79 | prob_scores = sess.run(output_tensor, feed_dict={input_tensor: img_array})
80 | alpha_scores = prob_scores[:, :, :, -1:] * 255
81 | prediction = alpha_scores
82 |
83 | prediction_normed = (prediction - prediction.min()) / (prediction.max() - prediction.min())
84 | _output = np.squeeze(prediction_normed) * 255
85 | _output = _output.round().astype(np.uint8) # (256,256)
86 |
87 | alpha_mask = cv2.resize(_output, (h, w), interpolation=cv2.INTER_CUBIC)
88 | # notes: save middle result alpha_mask which will be alpha channel in the original image
89 | # cv2.imwrite("test.png",alpha_mask)
90 | print(alpha_mask.shape)
91 | r, g, b = cv2.split(img)
92 | img_BGRA = cv2.merge((b, g, r, alpha_mask))
93 | cv2.imwrite(output_img_path, img_BGRA)
94 |
95 |
96 | if __name__ == "__main__":
97 | # input_img_path = absolute('inputs/test.png')
98 | # # mask_output_img_path='./outputs/test_result.png'
99 | # alpha_img_output_path = absolute('alpha_img_outputs/test_result.png')
100 | # run(input_img_path, alpha_img_output_path)
101 |
102 | # make(input_img_path,mask_output_img_path,alpha_img_output_path)
103 | foreground_img_path = absolute('alpha_img_outputs/test_result.png')
104 | background_img_path = absolute('inputs/background.png')
105 | output_img_path = absolute('outputs/synthesis.png')
106 | image_synthesis(foreground_img_path, background_img_path, output_img_path)
107 |
--------------------------------------------------------------------------------
/web/index.js:
--------------------------------------------------------------------------------
1 | //判断是否为Trident内核浏览器(IE等)函数
2 |
3 | $(function () {
4 | disableButton("download");
5 | disableButton("addBg");
6 | $("#addBackground").attr("disabled","disabled");
7 | $("#upload").change(function () {
8 | var objUrl = $(this)[0].files[0];
9 | //获得一个http格式的url路径:mozilla(firefox)||webkit or chrome
10 | var windowURL = window.URL || window.webkitURL;
11 | //createObjectURL创建一个指向该参数对象(图片)的URL
12 | var dataURL = windowURL.createObjectURL(objUrl);
13 | //把url给图片的src，让其显示
14 | $("#imageView").attr("src", dataURL).attr("style", "display:inline");
15 | $("#imageView2").attr("src", dataURL);
16 | fixImage('imageView');
17 | $('#imageReturn').attr("style", "display:none");
18 | $('#imageAddBg').attr("style", "display:none");
19 | disableButton("download");
20 | disableButton("addBackground");
21 | $("#addBackground").attr("disabled","disabled");
22 | $("#download").text('点击下载');
23 | if (browserIsIe()) {
24 | $("#download").removeAttr("onclick");
25 | } else {
26 | $("#download").removeAttr("download").attr("href","");
27 | }
28 | Matting();
29 | });
30 | $("#addBackground").change(function () {
31 | AddBackground();
32 | });
33 | });
34 |
35 |
36 |
37 | function browserIsIe() {
38 | return (!!window.ActiveXObject || "ActiveXObject" in window);
39 | }
40 |
41 | function AddBackground() {
42 | var reader = new FileReader();
43 | var file = document.querySelector("#addBackground").files;
44 | reader.readAsBinaryString(file[0]);
45 | reader.onload = function () {
46 | var formData = new FormData();
47 | formData.append("file", $("#addBackground")[0].files[0]);
48 | formData.append("fg_path", $("#imageReturn2").attr("src"));
49 | $.ajax({
50 | url: "http://matting.zsyhh.com:4800/api/v1/synthesis",
51 | type: 'POST',
52 | data: formData,
53 | processData: false,
54 | contentType: false,
55 | success: function (returnData) {
56 | var json = JSON.parse(returnData);
57 | if (json.status) {
58 | $("#imageAddBg").attr("src", json.data).attr("style", "display:inline");
59 | $("#imageAddBg2").attr("src", json.data);
60 | fixImage('imageAddBg');
61 | if (browserIsIe()) {
62 | $("#download").on("click", function () {
63 | //调用创建iframe的函数
64 | createIframe(json.data);
65 | });
66 | } else {
67 | $("#download").attr("download", json.data).attr("href", json.data);
68 | }
69 | enableButton("download");
70 | $('#download').text('含背景图');
71 | } else {
72 | $("#result").text(json.msg);
73 | }
74 | }
75 | });
76 | }
77 | }
78 |
79 |
80 |
81 | function Matting() {
82 | var reader = new FileReader();
83 | var file = document.querySelector("#upload").files;
84 | reader.readAsBinaryString(file[0]);
85 | reader.onload = function () {
86 | var formData = new FormData();
87 | formData.append("file", $("#upload")[0].files[0]);
88 | $.ajax({
89 | url: "http://matting.zsyhh.com:4800/api/v1/upload",
90 | type: 'POST',
91 | data: formData,
92 | processData: false,
93 | contentType: false,
94 | success: function (returnData) {
95 | var json = JSON.parse(returnData);
96 | if (json.status) {
97 | $("#imageReturn").attr("src", json.data).attr("style", "display:inline");
98 | $("#imageReturn2").attr("src", json.data);
99 | fixImage('imageReturn');
100 | if (browserIsIe()) {
101 | $("#download").on("click", function () {
102 | //调用创建iframe的函数
103 | createIframe(json.data);
104 | });
105 | } else {
106 | $("#download").attr("download", json.data).attr("href", json.data);
107 | }
108 | enableButton("download");
109 | enableButton("addBg");
110 | $("#addBackground").removeAttr("disabled");
111 | //$('#download').removeClass('btn-disable').addClass('btn-danger').attr("disabled",false);
112 | } else {
113 | $("#result").text(json.msg);
114 | }
115 | }
116 | });
117 | }
118 | }
119 |
120 |
121 |
122 | function downloadImg() {
123 | //iframe的src属性不为空,调用execCommand(),保存图片
124 | if ($('#IframeReportImg').src !== "about:blank")
125 | window.frames["IframeReportImg"].document.execCommand("SaveAs");
126 | }
127 |
128 | //创建iframe并赋值的函数,传入参数为图片的src属性值.
129 | function createIframe(imgSrc) {
130 | //如果隐藏的iframe不存在则创建
131 | if ($("#IframeReportImg").length === 0){
132 | $('').appendTo("body");
133 | }
134 | //iframe的src属性如不指向图片地址,则手动修改,加载图片
135 | if ($('#IframeReportImg').attr("src") !== imgSrc) {
136 | $('#IframeReportImg').attr("src",imgSrc);
137 | } else {
138 | //如指向图片地址,直接调用下载方法
139 | downloadImg();
140 | }
141 | }
142 |
143 | function _fixImage(url,maxWidth,maxHeight) {
144 | var imgHandle = $('#'+url+'2');
145 | var imgSrc = $('#'+url);
146 | var imgWidth = imgHandle.width();
147 | var imgHeight = imgHandle.height();
148 | var imgWH = imgWidth/imgHeight;
149 | var maxWH = maxWidth/maxHeight;
150 | if(imgWidth >= imgHeight) {
151 | if(imgWH <= maxWH)
152 | imgSrc.width((imgWidth * maxHeight)/imgHeight).height(maxHeight);
153 | else
154 | imgSrc.width(maxWidth).height((imgHeight * maxWidth)/imgWidth);
155 | }
156 | else {
157 | if(imgWH >= maxWH)
158 | imgSrc.width(maxWidth).height((imgHeight*maxWidth)/imgWidth);
159 | else
160 | imgSrc.width((imgWidth * maxHeight)/imgHeight).height(maxHeight);
161 | }
162 | }
163 |
164 | function fixImage(url) {
165 | _fixImage(url,300,400);
166 | }
167 |
168 | function disableButton(button){
169 | $("#"+button).removeClass('btn-danger').addClass('btn-disable').attr("disabled", true);
170 | }
171 | function enableButton(button) {
172 | $("#"+button).removeClass('btn-disable').addClass('btn-danger').attr("disabled", false);
173 | }
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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