lixiang46
update
4caf25d
raw
history blame
10.1 kB
import os
import cv2
import spaces
from PIL import Image
import gradio as gr
import numpy as np
import random
import base64
import requests
import json
import time
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 Exception as err:
print(f"Error: {err}")
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"
except Exception as err:
print(f"Error: {err}")
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("""
<div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
<div>
Step 1. Upload a person image ⬇️
</div>
</div>
""")
with gr.Column(elem_id = "col-mid"):
gr.HTML("""
<div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
<div>
Step 2. Upload a garment image ⬇️
</div>
</div>
""")
with gr.Column(elem_id = "col-right"):
gr.HTML("""
<div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
<div>
Step 3. Press “Run” to get try-on results
</div>
</div>
""")
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=40)
with gr.Column(elem_id = "col-showcase"):
gr.HTML("""
<div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
<div> </div>
<br>
<div>
Virtual try-on examples in pairs of person and garment images
</div>
</div>
""")
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.launch()