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"""

Outfit Anyway: Best customer try-on You ever See

""" description = r""" Join discord to know more about heybeauty prebuy vton solution.
""" 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"") gr.HTML(f"") 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()