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import os
import cv2
import numpy as np
import json
import random
from PIL import Image, ImageDraw, ImageFont
import asyncio
import requests
import base64
import gradio as gr
# from IPython import embed
machine_number = 0
model = os.path.join(os.path.dirname(__file__), "models/eva/Eva_1.png")
MODEL_MAP = {
"AI Model Rouyan_0": 'models/rouyan_new/Rouyan_0.png',
"AI Model Rouyan_1": 'models/rouyan_new/Rouyan_1.png',
"AI Model Rouyan_2": 'models/rouyan_new/Rouyan_2.png',
"AI Model Eva_0": 'models/eva/Eva_0.png',
"AI Model Eva_1": 'models/eva/Eva_1.png',
"AI Model Simon_0": 'models/simon_online/Simon_0.png',
"AI Model Simon_1": 'models/simon_online/Simon_1.png',
"AI Model Xuanxuan_0": 'models/xiaoxuan_online/Xuanxuan_0.png',
"AI Model Xuanxuan_1": 'models/xiaoxuan_online/Xuanxuan_1.png',
"AI Model Xuanxuan_2": 'models/xiaoxuan_online/Xuanxuan_2.png',
"AI Model Yaqi_0": 'models/yaqi/Yaqi_0.png',
"AI Model Yaqi_1": 'models/yaqi/Yaqi_1.png',
"AI Model Yaqi_2": 'models/yaqi/Yaqi_2.png',
"AI Model Yaqi_3": 'models/yaqi/Yaqi_3.png',
"AI Model Yifeng_0": 'models/yifeng_online/Yifeng_0.png',
"AI Model Yifeng_1": 'models/yifeng_online/Yifeng_1.png',
"AI Model Yifeng_2": 'models/yifeng_online/Yifeng_2.png',
"AI Model Yifeng_3": 'models/yifeng_online/Yifeng_3.png',
}
def add_waterprint(img):
h, w, _ = img.shape
img = cv2.putText(img, 'Powered by OutfitAnyone', (int(0.3*w), h-20), cv2.FONT_HERSHEY_PLAIN, 2, (128, 128, 128), 2, cv2.LINE_AA)
return img
def get_tryon_result(model_name, garment1, garment2, seed=1234):
# model_name = "AI Model " + model_name.split("\\")[-1].split(".")[0] # windows
model_name = "AI Model " + model_name.split("/")[-1].split(".")[0] # linux
print(model_name)
encoded_garment1 = cv2.imencode('.jpg', garment1)[1].tobytes()
encoded_garment1 = base64.b64encode(encoded_garment1).decode('utf-8')
if garment2 is not None:
encoded_garment2 = cv2.imencode('.jpg', garment2)[1].tobytes()
encoded_garment2 = base64.b64encode(encoded_garment2).decode('utf-8')
else:
encoded_garment2 = ''
url = os.environ['OA_IP_ADDRESS']
headers = {'Content-Type': 'application/json'}
seed = random.randint(0, 1222222222)
data = {
"garment1": encoded_garment1,
"garment2": encoded_garment2,
"model_name": model_name,
"seed": seed
}
response = requests.post(url, headers=headers, data=json.dumps(data))
print("response code", response.status_code)
if response.status_code == 200:
result = response.json()
result = base64.b64decode(result['images'][0])
result_np = np.frombuffer(result, np.uint8)
result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
else:
print('server error!')
final_img = add_waterprint(result_img)
return final_img
with gr.Blocks(css = ".output-image, .input-image, .image-preview {height: 400px !important} ") as demo:
# gr.Markdown("# Outfit Anyone v0.9")
gr.HTML(
"""
<div style="display: flex; justify-content: center; align-items: center; text-align: center;">
<a href="https://github.com/HumanAIGC/OutfitAnyone" style="margin-right: 20px; text-decoration: none; display: flex; align-items: center;">
</a>
<div>
<h1 >Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person</h1>
<h4 >v0.9</h4>
<h5 style="margin: 0;">If you like our project, please give us a star on Github to stay updated with the latest developments.</h5>
<div style="display: flex; justify-content: center; align-items: center; text-align: center;>
<a href="https://github.com/HumanAIGC/OutfitAnyone"><img src="https://img.shields.io/badge/Arxiv-0000.00000-red"></a>
<a href='https://humanaigc.github.io/outfit-anyone/'><img src='https://img.shields.io/badge/Project_Page-OutfitAnyone-green' alt='Project Page'></a>
<a href='https://github.com/HumanAIGC/OutfitAnyone'><img src='https://img.shields.io/badge/Github-Repo-blue'></a>
</div>
</div>
</div>
""")
with gr.Row():
with gr.Column():
init_image = gr.Image(sources='clipboard', type="filepath", label="model", value=model)
example = gr.Examples(inputs=init_image,
examples_per_page=4,
examples=[os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_0')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_2')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Eva_0')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Simon_1')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Eva_1')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Simon_0')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Xuanxuan_0')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Xuanxuan_2')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yaqi_1')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_0')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_3')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_1')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_2')),
os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yaqi_0')),
])
with gr.Column():
gr.HTML(
"""
<div style="display: flex; justify-content: center; align-items: center; text-align: center;">
<div>
<h3>Models are fixed and cannot be uploaded or modified; we only support users uploading their own garments.</h3>
<h4 style="margin: 0;">For a one-piece dress or coat, you only need to upload the image to the 'top garment' section and leave the 'lower garment' section empty.</h4>
</div>
</div>
""")
with gr.Row():
garment_top = gr.Image(sources='upload', type="numpy", label="top garment")
example_top = gr.Examples(inputs=garment_top,
examples_per_page=5,
examples=[os.path.join(os.path.dirname(__file__), "garments/top222.JPG"),
os.path.join(os.path.dirname(__file__), "garments/top5.png"),
os.path.join(os.path.dirname(__file__), "garments/top333.png"),
os.path.join(os.path.dirname(__file__), "garments/dress1.png"),
os.path.join(os.path.dirname(__file__), "garments/dress2.png"),
])
garment_down = gr.Image(sources='upload', type="numpy", label="lower garment")
example_down = gr.Examples(inputs=garment_down,
examples_per_page=5,
examples=[os.path.join(os.path.dirname(__file__), "garments/bottom1.png"),
os.path.join(os.path.dirname(__file__), "garments/bottom2.PNG"),
os.path.join(os.path.dirname(__file__), "garments/bottom3.JPG"),
os.path.join(os.path.dirname(__file__), "garments/bottom4.PNG"),
os.path.join(os.path.dirname(__file__), "garments/bottom5.png"),
])
run_button = gr.Button(value="Run")
with gr.Column():
gallery = gr.Image()
run_button.click(fn=get_tryon_result,
inputs=[
init_image,
garment_top,
garment_down,
],
outputs=[gallery],
concurrency_limit=2)
# Examples
gr.Markdown("## Examples")
with gr.Row():
reference_image1 = gr.Image(label="model", scale=1, value="examples/basemodel.png")
reference_image2 = gr.Image(label="garment", scale=1, value="examples/garment1.jpg")
reference_image3 = gr.Image(label="result", scale=1, value="examples/result1.png")
gr.Examples(
examples=[
["examples/basemodel.png", "examples/garment1.png", "examples/result1.png"],
["examples/basemodel.png", "examples/garment2.png", "examples/result2.png"],
["examples/basemodel.png", "examples/garment3.png", "examples/result3.png"],
],
inputs=[reference_image1, reference_image2, reference_image3],
label=None,
)
if __name__ == "__main__":
ip = requests.get('http://ifconfig.me/ip', timeout=1).text.strip()
print("ip address alibaba", ip)
demo.queue(max_size=10)
demo.launch()
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