Delete SWAPON

SWAPON/README.md

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----
-title: OutfitAnyone
-emoji: 🏢
-colorFrom: red
-colorTo: pink
-sdk: gradio
-sdk_version: 4.8.0
-app_file: app.py
-pinned: false
-license: cc-by-nc-4.0
----
-

SWAPON/app.py

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-import os
-import cv2 as cv
-import numpy as np
-import json
-import random
-from PIL import Image, ImageDraw, ImageFont
-import asyncio
-import socket
-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_0.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: cv.Mat) -> cv.Mat:
-    h, w, _ = img.shape
-    img = cv.putText(img, 'Powered by OutfitAnyone', (int(0.3*w), h-20), cv.FONT_HERSHEY_PLAIN, 2, (128, 128, 128), 2, cv.LINE_AA)
-    return img
-
-
-def get_tryon_result(model_name: str, garment1: cv.Mat, garment2: cv.Mat | None, seed: int = 1234) -> cv.Mat:
-    #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 = cv.imencode('.jpg', garment1)[1].tobytes()
-    encoded_garment1 = base64.b64encode(encoded_garment1).decode('utf-8')
-
-    if garment2 is not None:
-        encoded_garment2 = cv.imencode('.jpg', garment2)[1].tobytes()
-        encoded_garment2 = base64.b64encode(encoded_garment2).decode('utf-8')
-    else:
-        encoded_garment2 = ''
-        
-    host_ip = socket.gethostbyname(socket.gethostname())
-    url = f"https://{host_ip}:192.168.115.27"
-    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 = cv.imdecode(result_np, cv.IMREAD_UNCHANGED)
-    else:
-        print('server error!')
-
-    
-    final_img = add_waterprint(result_img)
-
-    return final_img
-    
-    '''height, width = 500, 500  # Adjust dimensions as needed
-    channels = 3  # 3 for RGB, 1 for grayscale
-    result_img = np.zeros((height, width, channels), dtype=np.uint8)
-    result_img[:] = (255, 0, 0)  # Set the image to solid blue color
-
-    # final_img = add_waterprint(result_img)
-    return result_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>
-            <h1 >Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person</h1>
-        </div>
-        """)
-    with gr.Row():
-        with gr.Column():
-            init_image = gr.Image(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(type="numpy", label="top garment")
-                garment_down = gr.Image(type="numpy", label="lower garment")
-
-            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],
-                             show_progress=True,
-                             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()

SWAPON/models/rouyan_new/1/a

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SWAPON/models/rouyan_new/2/a

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-

SWAPON/models/simon_online/a

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-

SWAPON/models/xiaoxuan/a

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-