lixiang46
update
394c62a
raw
history blame
10.6 kB
import os
import cv2
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:
gr.Warning("Empty image")
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"Post Exception 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 = 12
result_img = None
info = ""
err_log = ""
for i in range(Max_Retry):
try:
url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
response = requests.get(url, headers=headers, timeout=20)
# 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":
err_log = f"Status is Error"
info = "Error"
break
else:
# print(response.text)
err_log = "URL error, pleace contact the admin"
info = "URL error, pleace contact the admin"
break
except requests.exceptions.ReadTimeout:
err_log = "Http Timeout"
info = "Http Timeout, please try again later"
except Exception as err:
err_log = f"Get Exception Error: {err}"
time.sleep(1)
get_end_time = time.time()
print(f"get time used: {get_end_time-get_start_time}")
print(f"all time used: {get_end_time-get_start_time+post_end_time-post_start_time}")
if info == "":
err_log = f"No image after {Max_Retry} retries"
info = "Too many users, please try again later"
if info != "Success":
print(f"Error Log: {err_log}")
gr.Warning("Too many users, please try again later")
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=False, concurrency_limit=45)
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
)
Tryon.queue(api_open=False).launch(show_api=False)