import os import cv2 from PIL import Image import gradio as gr import numpy as np import random import base64 import requests import json import time from requests.adapters import HTTPAdapter def tryon(person_img, garment_img, seed, randomize_seed): post_start_time = time.time() if person_img is None or garment_img is None: return None, None, "Empty image" if randomize_seed: seed = random.randint(0, MAX_SEED) encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes() encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8') encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes() encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8') url = "http://" + os.environ['tryon_url'] + "Submit" token = os.environ['token'] cookie = os.environ['Cookie'] referer = os.environ['referer'] headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer} data = { "clothImage": encoded_garment_img, "humanImage": encoded_person_img, "seed": seed } try: response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50) print("post response code", response.status_code) if response.status_code == 200: result = response.json()['result'] status = result['status'] if status == "success": uuid = result['result'] print(uuid) except requests.exceptions.ReadTimeout: print("post timeout") raise gr.Error("Too many users, please try again later") post_end_time = time.time() print(f"post time used: {post_end_time-post_start_time}") get_start_time =time.time() time.sleep(9) Max_Retry = 10 result_img = None for i in range(Max_Retry): try: url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid response = requests.get(url, headers=headers, timeout=15) print("get response code", response.status_code) if response.status_code == 200: result = response.json()['result'] status = result['status'] if status == "success": result = base64.b64decode(result['result']) result_np = np.frombuffer(result, np.uint8) result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED) result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR) info = "Success" break elif status == "error": raise gr.Error("Too many users, please try again later") else: print(response.text) info = "URL error, pleace contact the admin" except requests.exceptions.ReadTimeout: print("timeout") info = "Too many users, please try again later" time.sleep(1) get_end_time = time.time() print(f"get time used: {get_end_time-get_start_time}") return result_img, seed, info def start_tryon(person_img, garment_img, seed, randomize_seed): start_time = time.time() if person_img is None or garment_img is None: return None, None, "Empty image" if randomize_seed: seed = random.randint(0, MAX_SEED) encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes() encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8') encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes() encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8') url = "http://" + os.environ['tryon_url'] token = os.environ['token'] cookie = os.environ['Cookie'] referer = os.environ['referer'] headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer} data = { "clothImage": encoded_garment_img, "humanImage": encoded_person_img, "seed": seed } result_img = None try: session = requests.Session() response = session.post(url, headers=headers, data=json.dumps(data), timeout=60) print("response code", response.status_code) if response.status_code == 200: result = response.json()['result'] status = result['status'] if status == "success": result = base64.b64decode(result['result']) result_np = np.frombuffer(result, np.uint8) result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED) result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR) info = "Success" else: info = "Try again latter" else: print(response.text) info = "URL error, pleace contact the admin" except requests.exceptions.ReadTimeout: print("timeout") info = "Too many users, please try again later" raise gr.Error("Too many users, please try again later") except Exception as err: print(f"其他错误: {err}") info = "Error, pleace contact the admin" end_time = time.time() print(f"time used: {end_time-start_time}") return result_img, seed, info MAX_SEED = 999999 example_path = os.path.join(os.path.dirname(__file__), 'assets') garm_list = os.listdir(os.path.join(example_path,"cloth")) garm_list_path = [os.path.join(example_path,"cloth",garm) for garm in garm_list] human_list = os.listdir(os.path.join(example_path,"human")) human_list_path = [os.path.join(example_path,"human",human) for human in human_list] css=""" #col-left { margin: 0 auto; max-width: 430px; } #col-mid { margin: 0 auto; max-width: 430px; } #col-right { margin: 0 auto; max-width: 430px; } #col-showcase { margin: 0 auto; max-width: 1100px; } #button { color: blue; } """ def load_description(fp): with open(fp, 'r', encoding='utf-8') as f: content = f.read() return content def change_imgs(image1, image2): return image1, image2 with gr.Blocks(css=css) as Tryon: gr.HTML(load_description("assets/title.md")) with gr.Row(): with gr.Column(elem_id = "col-left"): gr.HTML("""
Step 1. Upload a person image ⬇️
""") with gr.Column(elem_id = "col-mid"): gr.HTML("""
Step 2. Upload a garment image ⬇️
""") with gr.Column(elem_id = "col-right"): gr.HTML("""
Step 3. Press “Run” to get try-on results
""") with gr.Row(): with gr.Column(elem_id = "col-left"): imgs = gr.Image(label="Person image", sources='upload', type="numpy") # category = gr.Dropdown(label="Garment category", choices=['upper_body', 'lower_body', 'dresses'], value="upper_body") example = gr.Examples( inputs=imgs, examples_per_page=12, examples=human_list_path ) with gr.Column(elem_id = "col-mid"): garm_img = gr.Image(label="Garment image", sources='upload', type="numpy") example = gr.Examples( inputs=garm_img, examples_per_page=12, examples=garm_list_path ) with gr.Column(elem_id = "col-right"): image_out = gr.Image(label="Result", show_share_button=False) with gr.Row(): seed = gr.Slider( label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, ) randomize_seed = gr.Checkbox(label="Random seed", value=True) with gr.Row(): seed_used = gr.Number(label="Seed used") result_info = gr.Text(label="Response") # try_button = gr.Button(value="Run", elem_id="button") test_button = gr.Button(value="Run", elem_id="button") # try_button.click(fn=start_tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon',concurrency_limit=10) test_button.click(fn=tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon',concurrency_limit=10) with gr.Column(elem_id = "col-showcase"): gr.HTML("""

Virtual try-on examples in pairs of person and garment images
""") show_case = gr.Examples( examples=[ ["assets/examples/model2.png", "assets/examples/garment2.png", "assets/examples/result2.png"], ["assets/examples/model3.png", "assets/examples/garment3.png", "assets/examples/result3.png"], ["assets/examples/model1.png", "assets/examples/garment1.png", "assets/examples/result1.png"], ], inputs=[imgs, garm_img, image_out], label=None ) # ip = requests.get('http://ifconfig.me/ip', timeout=1).text.strip() # print("ip address", ip) Tryon.queue(max_size = 20).launch(max_threads = 5)