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import cv2
from mtcnn.mtcnn import MTCNN
from utils import *
import requests
from urllib.parse import urlparse
cloth_examples = get_cloth_examples(hr=0)
cloth_hr_examples = get_cloth_examples(hr=1)
pose_examples = get_pose_examples()
tip1, tip2 = get_tips()
face_detector = MTCNN()
# Description
title = r"""
<h1 align="center">Outfit Anyway: Best customer try-on You ever See</h1>
"""
description = r"""
<b>Join discord to know more about </b> <a href='https://discord.com/invite/QgJWCtSG58' target='_blank'><b> heybeauty prebuy vton solution</b></a>.<br>
"""
def is_http_resource_accessible(url):
"""
Check if HTTP resource is accessible
Returns True if accessible, False otherwise
"""
if not url or not isinstance(url, str):
return False
try:
# Parse URL to check if it's a valid HTTP/HTTPS URL
parsed = urlparse(url)
if parsed.scheme not in ['http', 'https']:
return False
# Make a HEAD request to check if resource exists
response = requests.head(url, timeout=5, allow_redirects=True)
return response.status_code == 200
except Exception as e:
print(f"Error checking resource accessibility: {e}")
return False
def onPoseChange(prompt_text, source_image, token_input, request: gr.Request):
"""Handle pose change request"""
# Check token first
if token_input != POSEToken:
return "please input the correct token!", None, None, None
if source_image is None:
return "Please provide source image first!", None, None, None
if not prompt_text or prompt_text.strip() == "":
prompt_text = "Change the pose: two hands on hips.#Change the pose: arms extended to show outfit."
try:
client_ip = request.client.host
x_forwarded_for = dict(request.headers).get('x-forwarded-for')
if x_forwarded_for:
client_ip = x_forwarded_for
# If source_image is a local file path, upload it first
if isinstance(source_image, str) and not source_image.startswith('http'):
timeId = int(str(time.time()).replace(".", "")) + random.randint(1000, 9999)
image_url = upload_pose_img(client_ip, timeId, source_image)
if not image_url:
return "Image upload failed!", None, None, None
else:
image_url = source_image
# Initiate pose change request
pose_result = public_pose_changer(image_url, prompt_text)
if pose_result is None:
return "Pose change request failed!", None, None, None
# Poll for results
max_try = 120
wait_s = 1
for i in range(max_try):
time.sleep(wait_s)
result = get_pose_changer_res(pose_result['id'])
if result is None:
continue
elif result['status'] == 'PROCESSING':
continue
elif result['status'] == 'SUCCEED':
# Extract the first 3 valid output images
output_images = [None, None, None]
for j in range(1, 4): # output1 to output3
output_key = f'output{j}'
if output_key in result and result[output_key] and result[output_key].strip():
timestamp = int(time.time() * 1000)
output_images[j-1] = result[output_key] + f"?t={timestamp}"
return f"Pose change completed! {result.get('msg', '')}", output_images[0], output_images[1], output_images[2]
elif result['status'] == 'FAILED':
return f"Pose change failed: {result.get('msg', '')}", None, None, None
return "Pose change timeout!", None, None, None
except Exception as e:
print(f"Pose change exception: {e}")
return f"Processing exception: {str(e)}", None, None, None
def onClick(cloth_image, pose_image, high_resolution, request: gr.Request):
if pose_image is None:
yield None, "no pose image found !", "", None
return None, "no pose image found !", "", None
if cloth_image is None:
yield None, "no cloth image found !", "", None
return None, "no cloth image found !", "", None
pose_id = os.path.basename(pose_image).split(".")[0]
cloth_id = int(os.path.basename(cloth_image).split(".")[0])
try:
client_ip = request.client.host
x_forwarded_for = dict(request.headers).get('x-forwarded-for')
if x_forwarded_for:
client_ip = x_forwarded_for
pose_np = cv2.imread(pose_image)
faces = face_detector.detect_faces(pose_np[:,:,::-1])
if len(faces)==0:
print(client_ip, 'faces num is 0! ', flush=True)
yield None, "Fatal Error !!! No face detected !!! You must upload a human photo!!! Not clothing photo!!!", "", None
return None, "Fatal Error !!! No face detected !!! You must upload a human photo!!! Not clothing photo!!!", "", None
else:
x, y, w, h = faces[0]["box"]
H, W = pose_np.shape[:2]
max_face_ratio = 1/3.3
if w/W>max_face_ratio or h/H>max_face_ratio:
yield None, "Fatal Error !!! Headshot is not allowed !!! You must upload a full-body or half-body photo!!!", "", None
return None, "Fatal Error !!! Headshot is not allowed !!! You must upload a full-body or half-body photo!!!", "", None
if not check_region_warp(client_ip):
yield None, "Failed !!! Our server is under maintenance, please try again later", "", None
return None, "Failed !!! Our server is under maintenance, please try again later", "", None
# client_ip = '8.8.8.8'
yield None, "begin to upload ", "", None
timeId = int( str(time.time()).replace(".", "") )+random.randint(1000, 9999)
upload_url = upload_pose_img(client_ip, timeId, pose_image)
# exit(0)
yield None, "begin to public task ", "", None
# return None, "begin to public task ", ""
if len(upload_url)==0:
yield None, "fail to upload", "", None
return None, "fail to upload", "", None
if high_resolution:
public_res = publicClothSwap(upload_url, cloth_id, is_hr=1)
else:
public_res = publicClothSwap(upload_url, cloth_id, is_hr=0)
if public_res is None:
yield None, "fail to public you task", "", None
return None, "fail to public you task", "", None
print(client_ip, public_res['mid_result'])
# Check if mid_result resource is accessible
mid_result = public_res['mid_result'] if is_http_resource_accessible(public_res['mid_result']) else None
yield mid_result, f"task is processing, task id: {public_res['id']}, {public_res['msg']}", "", mid_result
max_try = 120*3
wait_s = 0.5
for i in range(max_try):
time.sleep(wait_s)
state = getInfRes(public_res['id'])
timestamp = int(time.time() * 1000)
if state is None:
mid_result = public_res['mid_result'] if is_http_resource_accessible(public_res['mid_result']) else None
result_url = mid_result + f"?t={timestamp}" if mid_result else None
yield result_url, "task query failed,", "", result_url
elif state['status']=='PROCESSING':
mid_result = public_res['mid_result'] if is_http_resource_accessible(public_res['mid_result']) else None
result_url = mid_result + f"?t={timestamp}" if mid_result else None
yield result_url, f"task is processing, query {i}", "", result_url
elif state['status']=='SUCCEED':
result_image = state['output1'] + f"?t={timestamp}"
yield result_image, f"task finished, {state['msg']}", "", result_image
return result_image, f"task finished, {state['msg']}", "", result_image
elif state['status']=='FAILED':
yield None, f"task failed, {state['msg']}", "", None
return None, f"task failed, {state['msg']}", "", None
else:
mid_result = public_res['mid_result'] if is_http_resource_accessible(public_res['mid_result']) else None
result_url = mid_result + f"?t={timestamp}" if mid_result else None
yield result_url, f"task is on processing, query {i}", "", result_url
return None, "no machine...", "", None
except Exception as e:
print(e)
raise e
return None, "fail to create task", "", None
with gr.Blocks() as demo:
gr.Markdown(title)
gr.Markdown(description)
with gr.Accordion('upload tips', open=False):
with gr.Row():
gr.HTML(f"<img src=\"{tip1}\" >")
gr.HTML(f"<img src=\"{tip2}\" >")
with gr.Row():
with gr.Column():
cloth_image = gr.Image(value=None, interactive=False, type="filepath", label="choose a clothing")
example = gr.Examples(inputs=cloth_image,examples_per_page=20,examples=cloth_examples, label="clothing")
hr_example = gr.Examples(inputs=cloth_image,examples_per_page=9,examples=cloth_hr_examples, label="invalid clothing")
with gr.Column():
pose_image = gr.Image(value=None, type="filepath", label="choose/upload a photo")
example_pose = gr.Examples(inputs=pose_image,
examples_per_page=20,
examples=pose_examples)
with gr.Column():
with gr.Column():
# size_slider = gr.Slider(-3, 3, value=1, interactive=True, label="clothes size")
high_resolution = gr.Checkbox(value=False, label="high resolution", interactive=True)
run_button = gr.Button(value="Run")
info_text = gr.Textbox(value="", interactive=False,
label='runtime information')
res_image = gr.Image(label="result image", value=None, type="filepath")
MK01 = gr.Markdown()
# Add pose changer module
with gr.Accordion('pose changer', open=False):
# Top: token input
with gr.Row():
token_input = gr.Textbox(
value="",
label="Access Token",
placeholder="请输入token...",
type="password",
scale=1
)
# Middle: text box and button
with gr.Row():
pose_prompt = gr.Textbox(
value="Change the pose: hands on hips.#Change the pose: arms extended.",
label="Pose Change Prompt",
placeholder="Enter pose change description...",
lines=2,
scale=4
)
change_button = gr.Button(value="Change", scale=1)
# Bottom: source image on left, result images on right
with gr.Row():
with gr.Column(scale=1):
pose_changer_image = gr.Image(value=None, type="filepath", label="Source Image", interactive=True)
pose_change_info = gr.Textbox(value="", interactive=False, label="Processing Info")
with gr.Column(scale=2):
with gr.Row():
pose_result_1 = gr.Image(label="Result 1", value=None, type="filepath")
pose_result_2 = gr.Image(label="Result 2", value=None, type="filepath")
pose_result_3 = gr.Image(label="Result 3", value=None, type="filepath")
run_button.click(fn=onClick, inputs=[cloth_image, pose_image, high_resolution],
outputs=[res_image, info_text, MK01, pose_changer_image])
# Bind pose changer change button
change_button.click(
fn=onPoseChange,
inputs=[pose_prompt, pose_changer_image, token_input],
outputs=[pose_change_info, pose_result_1, pose_result_2, pose_result_3]
)
if __name__ == "__main__":
demo.queue(max_size=50)
# demo.queue(concurrency_count=60)
# demo.launch(server_name='0.0.0.0', server_port=225)
# demo.launch(server_name='0.0.0.0')
demo.launch()
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