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import os
# Streamlit config dosyasını kullanıcının home dizininde oluştur
config_dir = os.path.join(os.path.expanduser("~"), ".streamlit")
os.makedirs(config_dir, exist_ok=True)
config_path = os.path.join(config_dir, "config.toml")
with open(config_path, "w") as f:
f.write("""
[server]
headless = true
port = $PORT
enableCORS = false
""")
import streamlit as st
import tempfile
from movement_detector import extract_frames, detect_camera_movement
st.set_page_config(page_title="Camera Movement Detector", layout="centered")
# CSS + HTML (Profesyonel Tasarım)
st.markdown("""
<style>
body {
font-family: 'Segoe UI', sans-serif;
}
.stApp {
background-color: #f4f4f4;
padding-top: 30px;
}
.logo-container {
display: flex;
justify-content: center;
align-items: center;
margin-bottom: 15px;
}
.logo-container img {
width: 60px;
height: auto;
opacity: 0.9;
}
.card {
background-color: white;
border-radius: 12px;
padding: 30px;
max-width: 700px;
margin: auto;
box-shadow: 0 8px 20px rgba(0,0,0,0.08);
}
.title {
text-align: center;
font-size: 26px;
color: #333;
margin-bottom: 10px;
font-weight: 600;
}
.description {
text-align: center;
font-size: 16px;
color: #666;
margin-bottom: 25px;
}
.stButton>button {
background-color: #ff4b4b;
color: white;
border-radius: 6px;
padding: 8px 20px;
font-weight: bold;
}
.stFileUploader label {
font-weight: 500;
color: #444;
}
/* 🔧 Info ve spinner kutularının metin rengini siyah yap */
.stAlert > div {
color: black !important;
}
.stSpinner > div {
color: black !important;
}
</style>
""", unsafe_allow_html=True)
# 🔹 Logo
st.markdown("""
<div class="logo-container">
<img src="https://i.hizliresim.com/khnekdt.png" alt="ATP Logo">
</div>
""", unsafe_allow_html=True)
# 🔹 İçerik Kartı
st.markdown('<div class="card">', unsafe_allow_html=True)
st.markdown('<div class="title">📷 Camera Movement Detector</div>', unsafe_allow_html=True)
st.markdown('<div class="description">Upload a video to detect <b>significant camera movement</b> (not object motion).</div>', unsafe_allow_html=True)
# 🔸 Dosya yükleyici
uploaded_video = st.file_uploader("🎞️ Upload your video", type=["mp4", "avi", "mov"])
# 🔸 Analiz işlemi
if uploaded_video:
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
temp_file.write(uploaded_video.read())
temp_video_path = temp_file.name
st.info("Extracting frames...")
frames = extract_frames(temp_video_path)
st.info("Analyzing for camera movement...")
with st.spinner("Running detection..."):
indices = detect_camera_movement(frames)
st.success("✅ Detection complete.")
st.markdown(f"<div class='description'>📌 Movement detected at frames:<br><code>{indices}</code></div>", unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)
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