import asyncio
import base64
import json
import os
import random
import cv2
import gradio as gr
import numpy as np
import requests
from PIL import Image, ImageDraw, ImageFont
# from IPython import embed
machine_number = 0
model = os.path.join(os.path.dirname(__file__), "models/eva/Eva_0.png")
MODEL_MAP = {
"AI Model Oroton": "models/oroton/model.png",
"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 >test</h1>
</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 Oroton")
),
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>test</h3>
</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=4,
examples=[
os.path.join(
os.path.dirname(__file__), "garments/oroton_dress1.png"
),
os.path.join(
os.path.dirname(__file__), "garments/oroton_dress2.png"
),
os.path.join(
os.path.dirname(__file__), "garments/oroton_dress3.png"
),
os.path.join(
os.path.dirname(__file__), "garments/oroton_shirt1.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()