pages/🧊 x3D Lung Viewer.py

import os
import sys
import tempfile
import pyvista as pv
import streamlit as st
import subprocess
from stpyvista import stpyvista
from PIL import Image
from streamlit_image_zoom import image_zoom

######### Import PATH #######
script_dir = os.path.dirname(os.path.abspath(__file__))
imgto3d_path = os.path.join(script_dir, '..', 'image_to_3D')
visualize_x3d = os.path.join(script_dir, '..', 'visualize_x3d')
sys.path.append(imgto3d_path)
sys.path.append(visualize_x3d)

######### Preprocessing DICOM Image #########
from visualize_x3d.dicom_toImg import convert_dcm_to_png

######### Convert Image to 3D #########
from image_to_3D.ui import process_image

try:
    import torchmcubes
    import torch
    import torchvision
    import fpdf
except ImportError:
    subprocess.check_call(['pip', 'install', 'git+https://github.com/tatsy/torchmcubes.git'])
    subprocess.check_call(['pip', 'install','fpdf'])


status_file=False

st.markdown("<h1 style='text-align: center;'>Chào mừng tới Lung x3D Viewer 🎈</h1>", unsafe_allow_html=True)

col_1, col_3,col_2 = st.columns([7.4,0.3,10])
with st.sidebar:
    uploaded_files = st.file_uploader("Truyền ảnh vào đây", type=["png", "jpg", "jpeg", "dicom"], key="Uploader_sidebar")

with col_1:
    with st.expander("Intructions"):
        st.markdown("1. Để mở ảnh thì bạn có thể ấn vào chọn **Browse Files** và duyệt file. Hoặc bạn có thể chọn **Drag and Drop** và chuyển file vào đó.")
        st.markdown("2. Sau khi đã truyền ảnh vào hãy ấn **Convert to 3D**. Sau đó vui lòng đợi một lúc để hệ thống xử lý ảnh và đưa ra hình 3D")

    if uploaded_files:
        # Handle single file or multiple files
        if not isinstance(uploaded_files, list):
            uploaded_files = [uploaded_files]  # Convert single file to list

        for uploaded_file in uploaded_files:
            # Check the type of uploaded file
            if hasattr(uploaded_file, 'name'):
                file_type = uploaded_file.name.split('.')[-1].lower()
            else:
                file_type = 'unknown'

            if file_type in ["jpg", "jpeg", "png"]:
                img = Image.open(uploaded_file)
                st.markdown("<div style='display: flex; justify-content: center;'>", unsafe_allow_html=True)
                width, height = img.size
                image_zoom(img, mode="both")
                st.markdown("</div>", unsafe_allow_html=True)

                btn_convert=st.button("Convert to 3D")
                if btn_convert:
                    output_file = process_image(uploaded_file, output_filename='temp_image_3d')
                    status_file=True

            elif file_type in ["dicom", "dcm"]:
                convert_dcm_to_png(uploaded_file)
                img = Image.open('a.png').convert('RGB')
                st.markdown("<div style='display: flex; justify-content: center;'>", unsafe_allow_html=True)
                width, height = img.size
                image_zoom(img, mode="both", size=(width // 5, height // 5), keep_aspect_ratio=True,
                           zoom_factor=4.0, increment=0.2)
                st.markdown("</div>", unsafe_allow_html=True)
                btn_convert = st.button("Convert to 3D")
                if btn_convert:
                    output_file = process_image("a.png", output_filename='temp_image_3d')
                    status_file=True
    else:
        st.info("Bạn cần truyền ảnh và quét ảnh trước khi xem ảnh 3D")

############### VISUALIZE_x3D file #########################
from visualize_x3d.visualize_3d_file import option_stl_1
from visualize_x3d.visualize_3d_file import option_stl_2
from visualize_x3d.glt2stl import convertgtb2stl


with col_2:
    with st.expander("Intructions"):
        st.markdown("Truyền ảnh vào sau đó ấn nút sau để xem ảnh 3D")
    if status_file==False:
        option_stl_1()
    if status_file==True:
        file_path=r"temp_image_3d.glb"
        convertgtb2stl(file_path,"temp_image_3d.stl")
        option_stl_2("temp_image_3d.stl")