lixiang46
update
0f0fc4b
raw
history blame
5.72 kB
import os
import cv2
from PIL import Image
import gradio as gr
import numpy as np
import random
import base64
import requests
import json
def start_tryon(person_img, garment_img, seed, randomize_seed):
if person_img.all() == None or garment_img.all() == None:
return None, 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 = "https://" + os.environ['tryon_url']
token = os.environ['token']
cookie = os.environ['Cookie']
headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie}
data = {
"clothImage": encoded_garment_img,
"humanImage": encoded_person_img,
"seed": seed
}
response = requests.post(url, headers=headers, data=json.dumps(data))
print("response code", response.status_code)
result_img = None
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:
info = "URL error"
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: 380px;
}
#col-mid {
margin: 0 auto;
max-width: 380px;
}
#col-right {
margin: 0 auto;
max-width: 520px;
}
#col-showcase {
margin: 0 auto;
max-width: 1000px;
}
#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"):
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=10,
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=10,
examples=garm_list_path)
with gr.Column(elem_id = "col-right"):
image_out = gr.Image(label="Output", show_share_button=False)
with gr.Row():
seed_used = gr.Number(label="Seed Used")
result_info = gr.Text(label="Info")
try_button = gr.Button(value="Try-on", elem_id="button")
with gr.Column():
with gr.Accordion(label="Advanced Settings", open=False):
seed = gr.Slider(
label="Seed",
minimum=0,
maximum=MAX_SEED,
step=1,
value=0,
)
randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
try_button.click(fn=start_tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon')
gr.HTML("""
<div style="display: flex; justify-content: center; align-items: center; text-align: center;">
<div>
<h1>Show Case</h1>
</div>
</div>
""")
with gr.Column(elem_id = "col-showcase"):
with gr.Row():
image1 = gr.Image(label="Model", scale=1, value="assets/examples/model1.png", show_share_button=False, type="numpy", sources='upload')
image2 = gr.Image(label="Garment", scale=1, value="assets/examples/garment1.png", show_share_button=False, type="numpy", sources='upload')
image3 = gr.Image(label="Result", scale=1, value="assets/examples/result1.png", show_share_button=False, type="numpy", sources='upload')
show_case = gr.Examples(
examples=[
["assets/examples/model1.png", "assets/examples/garment1.png", "assets/examples/result1.png"],
["assets/examples/model2.png", "assets/examples/garment2.png", "assets/examples/result2.png"]
],
inputs=[image1, image2, image3],
label=None
)
image1.change(
fn = change_imgs,
inputs = [image1, image2],
outputs = [imgs, garm_img]
).then(
fn = start_tryon,
inputs=[image1, image2, seed, randomize_seed],
outputs=[image_out, seed_used, result_info]
)
ip = requests.get('http://ifconfig.me/ip', timeout=1).text.strip()
print("ip address", ip)
Tryon.queue(max_size=10).launch()