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Update app.py
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app.py
CHANGED
@@ -9,6 +9,14 @@ import imageio
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from ultralytics import YOLO
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from huggingface_hub import hf_hub_download
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###############################################################################
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# Helper: Embed an HTML5 video that autoplays (muted) with controls.
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###############################################################################
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@@ -39,25 +47,24 @@ if "shortened_video_ready" not in st.session_state:
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###############################################################################
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# Download YOLO Model from Hugging Face
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###############################################################################
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repo_id = "tstone87/ccr-colorado"
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model_filename = "best.pt"
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try:
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model = YOLO(local_model_path)
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except Exception as ex:
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st.error(f"Unable to load model.
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st.error(
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st.set_page_config(
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page_title="Fire Detection: Original vs. Processed Video",
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page_icon="🔥",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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###############################################################################
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# SIDEBAR: Video input options
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@@ -79,7 +86,7 @@ with st.sidebar:
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)
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progress_text = st.empty()
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progress_bar = st.progress(0)
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download_placeholder = st.empty()
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###############################################################################
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# MAIN TITLE
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@@ -93,7 +100,6 @@ original_video_data = None
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processed_video_data = None
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if example_option != "None":
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# Use example videos from remote URLs.
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example_videos = {
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"T Example": ("T1.mp4", "T2.mpg"),
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"LA Example": ("LA1.mp4", "LA2.mp4")
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@@ -107,9 +113,8 @@ if example_option != "None":
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original_video_data = requests.get(orig_url).content
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processed_video_data = requests.get(proc_url).content
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except Exception as ex:
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st.error("Error loading example videos
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else:
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# No example selected. If a file is uploaded, use it.
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if source_file:
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file_type = source_file.type.split('/')[0]
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if file_type == 'image':
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@@ -150,7 +155,7 @@ with col2:
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# Process Video if No Example is Selected
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###############################################################################
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if example_option == "None" and source_file and source_file.type.split('/')[0] != 'image':
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if st.sidebar.button("Let's Detect Wildfire"):
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st.session_state["processed_frames"] = []
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processed_frames = st.session_state["processed_frames"]
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@@ -176,7 +181,7 @@ if example_option == "None" and source_file and source_file.type.split('/')[0] !
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if processed_frames:
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temp_video_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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out = cv2.VideoWriter(temp_video_file.name, fourcc, fps, (width, height))
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for frame in processed_frames:
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@@ -199,4 +204,4 @@ if st.session_state["shortened_video_ready"]:
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data=st.session_state["shortened_video_data"],
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file_name="processed_video.mp4",
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mime="video/mp4"
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)
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from ultralytics import YOLO
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from huggingface_hub import hf_hub_download
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# Move set_page_config to the very top as it must be the first Streamlit command
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st.set_page_config(
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page_title="Fire Detection: Original vs. Processed Video",
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page_icon="🔥",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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###############################################################################
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# Helper: Embed an HTML5 video that autoplays (muted) with controls.
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###############################################################################
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###############################################################################
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# Download YOLO Model from Hugging Face
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###############################################################################
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repo_id = "tstone87/ccr-colorado" # Verify this is correct
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model_filename = "best.pt"
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try:
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# Add error handling for repository access
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local_model_path = hf_hub_download(
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repo_id=repo_id,
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filename=model_filename,
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repo_type="model" # Explicitly specify repo_type
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)
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model = YOLO(local_model_path)
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except Exception as ex:
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st.error(f"Unable to load model. Error details: {str(ex)}")
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st.error("Please verify:")
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st.error("1. Repository 'tstone87/ccr-colorado' exists and is accessible")
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st.error("2. 'best.pt' file is uploaded to the repository")
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st.error("3. You have proper access permissions")
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model = None # Set model to None if loading fails
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###############################################################################
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# SIDEBAR: Video input options
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)
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progress_text = st.empty()
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progress_bar = st.progress(0)
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download_placeholder = st.empty()
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###############################################################################
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# MAIN TITLE
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processed_video_data = None
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if example_option != "None":
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example_videos = {
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"T Example": ("T1.mp4", "T2.mpg"),
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"LA Example": ("LA1.mp4", "LA2.mp4")
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original_video_data = requests.get(orig_url).content
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processed_video_data = requests.get(proc_url).content
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except Exception as ex:
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st.error(f"Error loading example videos: {str(ex)}")
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else:
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if source_file:
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file_type = source_file.type.split('/')[0]
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if file_type == 'image':
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# Process Video if No Example is Selected
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###############################################################################
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if example_option == "None" and source_file and source_file.type.split('/')[0] != 'image':
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if st.sidebar.button("Let's Detect Wildfire") and model is not None:
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st.session_state["processed_frames"] = []
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processed_frames = st.session_state["processed_frames"]
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if processed_frames:
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temp_video_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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out = cv2.VideoWriter(temp_video_file.name, fourcc, fps, (width, height))
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for frame in processed_frames:
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data=st.session_state["shortened_video_data"],
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file_name="processed_video.mp4",
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mime="video/mp4"
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)
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