File size: 6,374 Bytes
996c29a
57c3043
 
996c29a
 
 
71d717e
 
ad38374
f39f01a
57c3043
ad38374
 
 
57c3043
ad38374
 
 
57c3043
34d44b8
ad38374
 
57c3043
996c29a
c47f572
2375767
c47f572
 
 
622d4df
c47f572
 
 
 
57c3043
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
886f7f8
 
c47f572
57c3043
ea2f865
886f7f8
ea2f865
886f7f8
ea2f865
c47f572
 
 
ea2f865
 
 
 
 
c47f572
 
 
9d08368
ea2f865
 
0b056ba
 
c47f572
 
ea2f865
 
 
 
 
 
 
 
 
 
f16cafc
 
5780146
ea2f865
 
c47f572
 
 
 
996c29a
c47f572
996c29a
 
 
82a48f4
657d167
 
 
 
996c29a
 
71d717e
513122c
acb141f
71d717e
996c29a
e1c92d4
c47f572
71d717e
c47f572
 
996c29a
 
ea2f865
 
 
8a7fa20
1f79c7c
 
f7f38e1
ad38374
1f79c7c
ea2f865
c47f572
996c29a
 
 
 
d8b06ca
996c29a
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149

import cv2
from mtcnn.mtcnn import MTCNN
from utils import *


cloth_examples = get_cloth_examples(hr=0)
cloth_hr_examples = get_cloth_examples(hr=1)
pose_examples = get_pose_examples()
tip1, tip2 = get_tips()
face_detector = MTCNN()

# Description
title = r"""
<h1 align="center">Outfit Anyway: Best customer try-on You ever See</h1>
"""

description = r"""
<b>Join discord to know more about </b> <a href='https://discord.com/invite/QgJWCtSG58' target='_blank'><b> heybeauty prebuy vton solution</b></a>.<br>
"""


def onClick(cloth_image, pose_image, high_resolution, request: gr.Request):
    if pose_image is None:
        yield None, "no pose image found !", ""
        return None, "no pose image found !", ""
    if cloth_image is None:
        yield None, "no cloth image found !", ""
        return None, "no cloth image found !", ""

    pose_id = os.path.basename(pose_image).split(".")[0]
    cloth_id = int(os.path.basename(cloth_image).split(".")[0])
            
    try:

        client_ip = request.client.host
        x_forwarded_for = dict(request.headers).get('x-forwarded-for')
        if x_forwarded_for:
            client_ip = x_forwarded_for
            
        pose_np = cv2.imread(pose_image)
        faces = face_detector.detect_faces(pose_np[:,:,::-1])
        if len(faces)==0:
            print(client_ip, 'faces num is 0! ', flush=True)
            yield None, "Fatal Error !!! No face detected !!! You must upload a human photo!!! Not clothing photo!!!", ""
            return None, "Fatal Error !!! No face detected !!! You must upload a human photo!!! Not clothing photo!!!", ""
        else:
            x, y, w, h = faces[0]["box"]
            H, W = pose_np.shape[:2]
            max_face_ratio = 1/3.3
            if w/W>max_face_ratio or h/H>max_face_ratio:
                yield None, "Fatal Error !!! Headshot is not allowed !!! You must upload a full-body or half-body photo!!!", ""
                return None, "Fatal Error !!! Headshot is not allowed !!! You must upload a full-body or half-body photo!!!", ""

        if not check_region_warp(client_ip):
            yield None, "Failed !!! Our server is under maintenance, please try again later", ""
            return None, "Failed !!! Our server is under maintenance, please try again later", ""
            
        # client_ip = '8.8.8.8'
        yield None, "begin to upload ", ""

        timeId = int(  str(time.time()).replace(".", "")  )+random.randint(1000, 9999)
        upload_url = upload_pose_img(client_ip, timeId, pose_image)
        # exit(0)
        yield None, "begin to public task ", ""
        # return None, "begin to public task ", ""
        
        if len(upload_url)==0:
            yield None, "fail to upload", ""
            return None, "fail to upload", ""

        if high_resolution:
            public_res = publicClothSwap(upload_url, cloth_id, is_hr=1)
        else:
            public_res = publicClothSwap(upload_url, cloth_id, is_hr=0)
        if public_res is None:
            yield None, "fail to public you task", ""
            return None, "fail to public you task", ""

        print(client_ip, public_res['mid_result'])
        yield public_res['mid_result'], f"task is processing, task id: {public_res['id']}, {public_res['msg']}", ""

        max_try = 120*3
        wait_s = 0.5
        for i in range(max_try):
            time.sleep(wait_s)
            state = getInfRes(public_res['id'])
            timestamp = int(time.time() * 1000)
            if state is None:
                yield public_res['mid_result'] + f"?t={timestamp}", "task query failed,", ""
            elif state['status']=='PROCESSING':
                yield public_res['mid_result'] + f"?t={timestamp}", f"task is processing, query {i}", ""
            elif state['status']=='SUCCEED':
                yield state['output1'] + f"?t={timestamp}", f"task finished, {state['msg']}", ""
                return state['output1'] + f"?t={timestamp}", f"task finished, {state['msg']}", ""
            elif state['status']=='FAILED':
                yield None, f"task failed, {state['msg']}", ""
                return None, f"task failed, {state['msg']}", ""
            else:
                yield public_res['mid_result'] + f"?t={timestamp}", f"task is on processing, query {i}", ""
        return None, "no machine...", ""
    except Exception as e:
        print(e)
        raise e
        return None, "fail to create task", ""

with gr.Blocks() as demo:
    gr.Markdown(title)
    gr.Markdown(description)

    with gr.Accordion('upload tips', open=False):
        with gr.Row():
            gr.HTML(f"<img src=\"{tip1}\" >")
            gr.HTML(f"<img src=\"{tip2}\" >")
                    
    with gr.Row():
        with gr.Column():
            cloth_image = gr.Image(value=None, interactive=False, type="filepath", label="choose a clothing")
            example = gr.Examples(inputs=cloth_image,examples_per_page=20,examples=cloth_examples, label="clothing")
            hr_example = gr.Examples(inputs=cloth_image,examples_per_page=9,examples=cloth_hr_examples, label="invalid clothing")
            
        with gr.Column():
            pose_image = gr.Image(value=None, type="filepath", label="choose/upload a photo")
            example_pose = gr.Examples(inputs=pose_image,
                                      examples_per_page=20,
                                      examples=pose_examples)
            
        with gr.Column():
            with gr.Column():
                # size_slider = gr.Slider(-3, 3, value=1, interactive=True, label="clothes size")
                high_resolution = gr.Checkbox(value=False, label="high resolution", interactive=True)
                
                run_button = gr.Button(value="Run")
                info_text = gr.Textbox(value="", interactive=False, 
                    label='runtime information')                
                res_image = gr.Image(label="result image", value=None, type="filepath")
                MK01 = gr.Markdown()

    run_button.click(fn=onClick, inputs=[cloth_image, pose_image, high_resolution], 
                     outputs=[res_image, info_text, MK01])


if __name__ == "__main__":

    demo.queue(max_size=50)
    # demo.queue(concurrency_count=60)
    # demo.launch(server_name='0.0.0.0', server_port=225)
    demo.launch(server_name='0.0.0.0')