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import gradio as gr | |
import tempfile | |
import os | |
import numpy as np | |
import torch | |
from PIL import Image | |
from tsr.system import TSR | |
from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation | |
# Проверяем наличие GPU | |
device = "cuda:0" if torch.cuda.is_available() else "cpu" | |
# Загружаем модель | |
model = TSR.from_pretrained( | |
"stabilityai/TripoSR", | |
config_name="config.yaml", | |
weight_name="model.ckpt", | |
) | |
model.renderer.set_chunk_size(131072) | |
model.to(device) | |
# Функция для проверки изображения | |
def check_input_image(input_image): | |
if input_image is None: | |
raise gr.Error("No image uploaded!") | |
# Функция обработки изображения | |
def preprocess(input_image, do_remove_background, foreground_ratio): | |
def fill_background(image): | |
image = np.array(image).astype(np.float32) / 255.0 | |
image = image[:, :, :3] * image[:, :, 3:4] + (1 - image[:, :, 3:4]) * 0.5 | |
image = Image.fromarray((image * 255.0).astype(np.uint8)) | |
return image | |
if do_remove_background: | |
image = input_image.convert("RGB") | |
image = remove_background(image) | |
image = resize_foreground(image, foreground_ratio) | |
image = fill_background(image) | |
else: | |
image = input_image | |
if image.mode == "RGBA": | |
image = fill_background(image) | |
return image | |
# Функция генерации 3D модели | |
def generate(image): | |
scene_codes = model(image, device=device) | |
mesh = model.extract_mesh(scene_codes)[0] | |
mesh = to_gradio_3d_orientation(mesh) | |
mesh_path2 = tempfile.NamedTemporaryFile(suffix=".glb", delete=False) | |
mesh.export(mesh_path2.name) | |
return mesh_path2.name | |
# Настройка темы и CSS | |
class CustomTheme(gr.themes.Base): | |
def __init__(self): | |
super().__init__() | |
self.primary_hue = "#191a1e" | |
self.background_fill_primary = "#191a1e" | |
self.background_fill_secondary = "#191a1e" | |
self.background_fill_tertiary = "#191a1e" | |
self.text_color_primary = "#FFFFFF" | |
self.text_color_secondary = "#FFFFFF" | |
self.text_color_tertiary = "#FFFFFF" | |
self.input_background_fill = "#191a1e" | |
self.input_text_color = "#FFFFFF" | |
css = """ | |
footer { | |
visibility: hidden; | |
height: 0; | |
margin: 0; | |
padding: 0; | |
overflow: hidden; | |
} | |
body, input, button, textarea, select, .gr-button { | |
font-family: 'Poppins', sans-serif; | |
background-color: #191a1e !important; | |
color: #FFFFFF !important; | |
} | |
h1, h2, h3, h4, h5, h6 { | |
font-family: 'Poppins', sans-serif; | |
font-weight: 700; | |
color: #FFFFFF !important; | |
} | |
input[type="text"], textarea { | |
background-color: #191a1e !important; | |
color: #FFFFFF !important; | |
border: 1px solid #FFFFFF !important; | |
} | |
.generate-button { | |
background-color: #5271FF !important; | |
color: #FFFFFF !important; | |
border: none !important; | |
font-weight: bold !important; | |
} | |
.generate-button:hover { | |
background-color: #405BBF !important; | |
} | |
gr-image-upload { | |
background-color: #191a1e !important; | |
border: 1px dashed #FFFFFF !important; | |
position: relative; | |
} | |
.gr-image-upload .dropzone::before { | |
content: 'Drop Image Here'; | |
color: #FFFFFF; | |
font-size: 1rem; | |
font-weight: bold; | |
text-align: center; | |
position: absolute; | |
top: 50%; | |
left: 50%; | |
transform: translate(-50%, -50%); | |
} | |
.drop-image-container { | |
display: flex; | |
flex-direction: column; | |
align-items: center; | |
} | |
.drop-image, .processed-image { | |
margin-bottom: 20px; | |
background-color: #191a1e !important; | |
} | |
.foreground-ratio-container { | |
margin-top: 20px; | |
margin-bottom: 20px; | |
} | |
.gr-tab { | |
background-color: #191a1e !important; | |
border: 1px solid #FFFFFF; | |
border-radius: 5px; | |
margin-top: 10px; | |
} | |
.gr-tab label { | |
color: #FFFFFF !important; | |
font-weight: bold; | |
} | |
.gr-button-primary { | |
background-color: #5271FF !important; | |
color: #FFFFFF !important; | |
border: none; | |
} | |
.gr-button-primary:hover { | |
background-color: #405BBF !important; | |
color: #FFFFFF !important; | |
} | |
""" | |
# Интерфейс | |
with gr.Blocks(theme=CustomTheme(), css=css) as demo: | |
with gr.Column(): | |
gr.Markdown("**Upload and Process Your Image**") | |
with gr.Row(): | |
input_image = gr.Image( | |
label="Upload Image", | |
image_mode="RGBA", | |
sources="upload", | |
type="pil", | |
width=400, | |
height=300, | |
) | |
processed_image = gr.Image( | |
label="Processed Image", | |
interactive=False, | |
width=400, | |
height=300, | |
) | |
foreground_ratio = gr.Slider( | |
label="Foreground Ratio", | |
minimum=0.5, | |
maximum=1.0, | |
value=0.85, | |
step=0.05, | |
) | |
do_remove_background = gr.Checkbox( | |
label="Remove Background", | |
value=True, | |
) | |
submit = gr.Button("Generate") | |
output_model = gr.Model3D(label="Generated GLB Model", interactive=False) | |
# Обработка кликов | |
submit.click( | |
fn=check_input_image, | |
inputs=[input_image], | |
outputs=[] | |
).then( | |
fn=preprocess, | |
inputs=[input_image, do_remove_background, foreground_ratio], | |
outputs=[processed_image] | |
).then( | |
fn=generate, | |
inputs=[processed_image], | |
outputs=[output_model] | |
) | |
# Запуск приложения | |
demo.launch() | |