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CI: deploy Docker/PDM Space
Browse files
services/app_service/pages/signal_watch.py
CHANGED
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@@ -241,13 +241,22 @@ def extract_youtube_stream_url(url: str, cookies_path: str | None = None) -> str
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st.error("yt-dlp found but not working properly.")
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return None
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try:
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# Show progress message
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with st.spinner("Extracting YouTube stream URL..."):
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# Try multiple format options with different cookie strategies
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format_options = ["best[height<=720]", "best[height<=480]", "best", "worst"]
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-
# First try with cookies if
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if cookies_path and Path(cookies_path).exists():
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st.info("Using provided cookies for YouTube authentication...")
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for fmt in format_options:
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@@ -277,6 +286,50 @@ def extract_youtube_stream_url(url: str, cookies_path: str | None = None) -> str
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else:
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st.warning(f"yt-dlp failed with format {fmt}: {result.stderr}")
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# Try with browser cookies (Chrome, Firefox, Safari)
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st.info("Trying to use browser cookies for YouTube authentication...")
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browsers = ["chrome", "firefox", "safari", "edge"]
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@@ -524,7 +577,12 @@ def run_video_feed_detection(
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# Set buffer size for live streams to reduce latency
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if is_youtube or isinstance(cap_source, str):
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cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)
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# Check if it's a local file (not a URL)
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is_file = False
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@@ -548,7 +606,7 @@ def run_video_feed_detection(
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i = 0
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last_preview_update = 0
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preview_update_interval = (
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-
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)
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writer = None
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@@ -562,11 +620,28 @@ def run_video_feed_detection(
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try:
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while True:
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ok, frame = cap.read()
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if not ok:
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break
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if i % max(1, stride) == 0:
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if model_key == "deim":
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frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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@@ -586,19 +661,35 @@ def run_video_feed_detection(
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text=f"Processing frame {i + 1}/{total if total > 0 else 'β'}...",
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)
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#
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if (
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frame_ph is not None
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and (i - last_preview_update) >= preview_update_interval
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):
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-
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cv2.cvtColor(vis, cv2.COLOR_BGR2RGB)
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-
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-
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if writer is not None:
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writer.write(vis)
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@@ -624,9 +715,16 @@ def run_video_feed_detection(
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if elapsed >= max_seconds:
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return
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-
#
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if not is_file:
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time.
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except Exception as e:
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st.error(f"Error during processing: {e!s}")
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@@ -635,6 +733,8 @@ def run_video_feed_detection(
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cap.release()
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if writer is not None:
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writer.release()
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stream_type = "YouTube" if is_youtube else ("Live" if not is_file else "File")
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st.success(f"Done processing {stream_type} stream!")
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@@ -649,7 +749,14 @@ def run_video_feed_detection(
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)
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if run_detection:
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src = resolve_video_source(src_choice, cookies_path)
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if not src:
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st.warning("Please select a valid source (pick a file or enter a URL).")
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st.error("yt-dlp found but not working properly.")
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return None
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+
# Hardcoded cookies as fallback (from your provided cookies.txt)
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hardcoded_cookies = """# Netscape HTTP Cookie File
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# https://curl.haxx.se/rfc/cookie_spec.html
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# This is a generated file! Do not edit.
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.youtube.com TRUE / TRUE 1776851748 VISITOR_INFO1_LIVE m4CAb_qRhZM
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.youtube.com TRUE / TRUE 1776851748 VISITOR_PRIVACY_METADATA CgJBVRIEGgAgQw%3D%3D
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.youtube.com TRUE / TRUE 1772413113 __Secure-ROLLOUT_TOKEN CKPJ4ZHJ2ajAZhD82ZLUsbuPAxjFtqHUsbuPAw%3D%3D"""
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+
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try:
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# Show progress message
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with st.spinner("Extracting YouTube stream URL..."):
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# Try multiple format options with different cookie strategies
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format_options = ["best[height<=720]", "best[height<=480]", "best", "worst"]
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# First try with provided cookies if available
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if cookies_path and Path(cookies_path).exists():
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st.info("Using provided cookies for YouTube authentication...")
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for fmt in format_options:
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else:
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st.warning(f"yt-dlp failed with format {fmt}: {result.stderr}")
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# Try with hardcoded cookies as fallback
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st.info("Trying with hardcoded cookies for YouTube authentication...")
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with tempfile.NamedTemporaryFile(
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mode="w", suffix=".txt", delete=False
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) as temp_cookies:
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temp_cookies.write(hardcoded_cookies)
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temp_cookies_path = temp_cookies.name
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try:
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for fmt in format_options:
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cmd = [
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ytdlp_path,
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"--get-url",
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"--format",
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fmt,
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"--no-playlist",
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"--no-warnings",
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"--cookies",
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temp_cookies_path,
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url,
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]
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result = subprocess.run(
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cmd, check=False, capture_output=True, text=True, timeout=30
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)
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if result.returncode == 0:
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stream_url = result.stdout.strip()
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if stream_url and stream_url.startswith("http"):
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st.success(
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f"Successfully extracted YouTube stream URL with hardcoded cookies! (format: {fmt})"
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)
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return stream_url
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else:
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st.warning(
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f"Hardcoded cookies failed with format {fmt}: {result.stderr[:100]}..."
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)
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finally:
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# Clean up temporary file
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try:
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Path(temp_cookies_path).unlink()
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except:
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pass
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# Try with browser cookies (Chrome, Firefox, Safari)
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st.info("Trying to use browser cookies for YouTube authentication...")
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browsers = ["chrome", "firefox", "safari", "edge"]
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# Set buffer size for live streams to reduce latency
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if is_youtube or isinstance(cap_source, str):
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cap.set(cv2.CAP_PROP_BUFFERSIZE, 1) # Minimal buffer for live streams
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# Additional settings for better live stream performance
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cap.set(cv2.CAP_PROP_FPS, 25) # Set target FPS
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cap.set(
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cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*"MJPG")
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) # Use MJPG codec for better streaming
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# Check if it's a local file (not a URL)
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is_file = False
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i = 0
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last_preview_update = 0
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preview_update_interval = (
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0 # Update preview every frame for live streams to prevent freezing
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)
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writer = None
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)
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try:
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frame_skip_count = 0
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max_frame_skip = 5 # Skip up to 5 frames if we're falling behind
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while True:
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# Check for stop signal
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if st.session_state.get("stop_processing", False):
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st.info("π Stopping detection...")
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break
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ok, frame = cap.read()
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if not ok:
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break
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# For live streams, skip frames if we're falling behind
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if (
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is_youtube or isinstance(cap_source, str)
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) and frame_skip_count < max_frame_skip:
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frame_skip_count += 1
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continue
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else:
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frame_skip_count = 0
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if i % max(1, stride) == 0:
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if model_key == "deim":
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frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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text=f"Processing frame {i + 1}/{total if total > 0 else 'β'}...",
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)
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# Optimized preview updates for live streams
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if (
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frame_ph is not None
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and (i - last_preview_update) >= preview_update_interval
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):
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try:
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# Convert to RGB and resize for better performance
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display_frame = cv2.cvtColor(vis, cv2.COLOR_BGR2RGB)
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# Resize large frames to improve performance
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height, width = display_frame.shape[:2]
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if width > 1280: # Resize if too large
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scale = 1280 / width
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new_width = 1280
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new_height = int(height * scale)
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display_frame = cv2.resize(
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display_frame, (new_width, new_height)
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)
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frame_ph.image(
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display_frame,
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use_container_width=True,
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output_format="JPEG",
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channels="RGB",
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)
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last_preview_update = i
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except Exception as e:
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# If display fails, continue processing but log the error
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st.warning(f"Display update failed: {e}")
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if writer is not None:
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writer.write(vis)
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if elapsed >= max_seconds:
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return
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# For live streams, add adaptive delay based on processing speed
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if not is_file:
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elapsed = time.time() - start_t
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if elapsed > 0:
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current_fps = i / elapsed
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# Target 15-20 FPS for live streams to prevent freezing
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if current_fps > 20:
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time.sleep(0.05) # Slow down if too fast
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elif current_fps < 10:
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time.sleep(0.01) # Speed up if too slow
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except Exception as e:
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st.error(f"Error during processing: {e!s}")
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cap.release()
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if writer is not None:
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writer.release()
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# Reset stop flag
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st.session_state.stop_processing = False
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stream_type = "YouTube" if is_youtube else ("Live" if not is_file else "File")
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st.success(f"Done processing {stream_type} stream!")
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)
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if stop_detection:
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st.session_state.stop_processing = True
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st.info("π Stop signal sent. Detection will stop after current frame.")
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if run_detection:
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# Reset stop flag when starting new detection
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st.session_state.stop_processing = False
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src = resolve_video_source(src_choice, cookies_path)
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if not src:
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st.warning("Please select a valid source (pick a file or enter a URL).")
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