Update utils/ingest_video.py
Browse files- utils/ingest_video.py +60 -89
utils/ingest_video.py
CHANGED
@@ -1,11 +1,10 @@
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import zipfile
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import os
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import chromadb
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from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction
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from chromadb.utils.data_loaders import ImageLoader
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import cv2
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# Initialize ChromaDB
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path = "mm_vdb2"
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client = chromadb.PersistentClient(path=path)
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@@ -17,65 +16,33 @@ video_collection = client.get_or_create_collection(
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data_loader=image_loader
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)
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def unzip_file_flat(zip_path, extract_to):
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"""
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Unzips a zip file and extracts all files into a single directory, ignoring internal folders.
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Args:
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zip_path (str): Path to the zip file.
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extract_to (str): Directory where the contents should be extracted.
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"""
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try:
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os.makedirs(extract_to, exist_ok=True) # Ensure the output directory exists
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with zipfile.ZipFile(zip_path, 'r') as zip_ref:
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for file in zip_ref.namelist():
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if not file.endswith('/'): # Ignore directories
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file_name = os.path.basename(file)
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if not file_name: # Skip if it's a directory entry
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continue
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extracted_path = os.path.join(extract_to, file_name)
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# Handle filename conflicts by appending a number to duplicates
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base_name, ext = os.path.splitext(file_name)
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counter = 1
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while os.path.exists(extracted_path):
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extracted_path = os.path.join(extract_to, f"{base_name}_{counter}{ext}")
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counter += 1
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with zip_ref.open(file) as source, open(extracted_path, 'wb') as target:
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target.write(source.read())
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print(f"Successfully extracted {zip_path} to {extract_to}")
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except Exception as e:
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print(f"An error occurred while unzipping {zip_path}: {e}")
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def extract_frames(video_folder, output_folder):
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"""
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Extracts frames from
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Args:
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video_folder (str):
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output_folder (str):
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"""
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os.
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for video_filename in os.listdir(video_folder):
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if video_filename.
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video_path = os.path.join(video_folder, video_filename)
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video_capture = cv2.VideoCapture(video_path)
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fps = video_capture.get(cv2.CAP_PROP_FPS)
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if fps == 0:
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print(f"Warning: FPS is zero for {video_filename}. Skipping.")
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continue
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frame_count = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
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output_subfolder = os.path.join(output_folder, os.path.splitext(video_filename)[0])
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os.
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success, image = video_capture.read()
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frame_number = 0
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while success:
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#
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if frame_number == 0 or frame_number % int(fps * 5) == 0 or frame_number == frame_count - 1:
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frame_time = frame_number / fps
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output_frame_filename = os.path.join(output_subfolder, f'frame_{int(frame_time)}.jpg')
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@@ -85,27 +52,33 @@ def extract_frames(video_folder, output_folder):
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frame_number += 1
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video_capture.release()
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def add_frames_to_chromadb(video_dir, frames_dir):
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"""
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Adds
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Args:
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video_dir (str):
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frames_dir (str):
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"""
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video_frames = {}
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#
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for video_file in os.listdir(video_dir):
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if video_file.
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video_title =
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frame_folder = os.path.join(frames_dir, video_title)
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if os.path.exists(frame_folder):
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ids, uris, metadatas = [], [], []
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for video_title, frames in video_frames.items():
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video_path = os.path.join(video_dir, f"{video_title}.mp4")
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for frame in frames:
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uris.append(frame_path)
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metadatas.append({'video_uri': video_path})
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else:
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print("No frames to add to ChromaDB.")
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def
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"""
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and
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Args:
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"""
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#
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# process_uploaded_files(uploaded_files, extract_dir, frame_output_dir)
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import os
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import cv2
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import chromadb
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from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction
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from chromadb.utils.data_loaders import ImageLoader
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# Initialize ChromaDB client and collection
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path = "mm_vdb2"
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client = chromadb.PersistentClient(path=path)
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data_loader=image_loader
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)
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def extract_frames(video_folder, output_folder):
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"""
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Extracts frames from all videos in the video_folder and saves them in the output_folder.
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Args:
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video_folder (str): Path to the folder containing video files.
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output_folder (str): Path to the folder where extracted frames will be saved.
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"""
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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for video_filename in os.listdir(video_folder):
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if video_filename.endswith('.mp4'):
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video_path = os.path.join(video_folder, video_filename)
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video_capture = cv2.VideoCapture(video_path)
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fps = video_capture.get(cv2.CAP_PROP_FPS)
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frame_count = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
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duration = frame_count / fps
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output_subfolder = os.path.join(output_folder, os.path.splitext(video_filename)[0])
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if not os.path.exists(output_subfolder):
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os.makedirs(output_subfolder)
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success, image = video_capture.read()
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frame_number = 0
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while success:
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# Save frames at 0 seconds, every 5 seconds, and the last frame
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if frame_number == 0 or frame_number % int(fps * 5) == 0 or frame_number == frame_count - 1:
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frame_time = frame_number / fps
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output_frame_filename = os.path.join(output_subfolder, f'frame_{int(frame_time)}.jpg')
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frame_number += 1
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video_capture.release()
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def add_frames_to_chromadb(video_dir, frames_dir):
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"""
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Adds extracted frames from videos to the ChromaDB collection.
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Args:
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video_dir (str): Path to the folder containing video files.
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frames_dir (str): Path to the folder containing the extracted frames.
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"""
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# Dictionary to hold video titles and their corresponding frames
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video_frames = {}
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# Process each video and associate its frames
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for video_file in os.listdir(video_dir):
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if video_file.endswith('.mp4'):
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video_title = video_file[:-4]
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frame_folder = os.path.join(frames_dir, video_title)
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if os.path.exists(frame_folder):
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# List all jpg files in the folder
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video_frames[video_title] = [f for f in os.listdir(frame_folder) if f.endswith('.jpg')]
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# Prepare ids, uris, and metadatas for ChromaDB
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ids = []
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uris = []
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metadatas = []
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for video_title, frames in video_frames.items():
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video_path = os.path.join(video_dir, f"{video_title}.mp4")
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for frame in frames:
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uris.append(frame_path)
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metadatas.append({'video_uri': video_path})
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# Add frames to the ChromaDB collection
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video_collection.add(ids=ids, uris=uris, metadatas=metadatas)
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def initiate_video(video_folder_path):
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"""
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Initiates the video processing pipeline: extracts frames from videos
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and adds them to the ChromaDB collection.
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Args:
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video_folder_path (str): Path to the folder containing video files.
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Returns:
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The ChromaDB collection with the added frames.
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"""
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try:
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print("Starting video processing pipeline...")
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# Define output folder for extracted frames
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output_folder_path = os.path.join(video_folder_path, 'extracted_frames')
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# Extract frames from videos
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print("Extracting frames...")
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extract_frames(video_folder_path, output_folder_path)
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print("Frames extracted successfully.")
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# Add frames to ChromaDB collection
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print("Adding frames to ChromaDB...")
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add_frames_to_chromadb(video_folder_path, output_folder_path)
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print("Frames added to ChromaDB successfully.")
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return video_collection
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except Exception as e:
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print(f"An error occurred during video processing: {e}")
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return None
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