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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_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): | |
| 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 >Dressify: AI Virtual Try On for Fashion Brands</h1> | |
| <h4 >v0.9</h4> | |
| <div style="display: flex; justify-content: center; align-items: center; text-align: center;> | |
| </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() | |