Update utils/ingest_video.py
Browse files- utils/ingest_video.py +52 -43
utils/ingest_video.py
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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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path = "mm_vdb2"
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client = chromadb.PersistentClient(path=path)
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@@ -16,14 +18,8 @@ video_collection = client.get_or_create_collection(
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data_loader=image_loader
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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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@@ -42,7 +38,6 @@ def extract_frames(video_folder, output_folder):
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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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@@ -53,15 +48,7 @@ def extract_frames(video_folder, output_folder):
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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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# 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
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ids = []
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uris = []
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metadatas = []
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@@ -88,39 +75,61 @@ def add_frames_to_chromadb(video_dir, frames_dir):
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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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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("Frames added to ChromaDB successfully.")
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import gdown
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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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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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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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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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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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video_capture.release()
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def add_frames_to_chromadb(video_dir, frames_dir):
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# Dictionary to hold video titles and their corresponding frames
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video_frames = {}
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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
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ids = []
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uris = []
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metadatas = []
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uris.append(frame_path)
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metadatas.append({'video_uri': video_path})
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video_collection.add(ids=ids, uris=uris, metadatas=metadatas)
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# Running it
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def unzip_file(zip_path, extract_to):
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"""
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Unzips a zip file to the specified directory and flattens the folder structure.
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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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# Ensure the destination directory exists
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os.makedirs(extract_to, exist_ok=True)
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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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# Extract only files (not directories)
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if not file.endswith('/'):
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# Flatten by extracting all files to the root of extract_to
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file_name = os.path.basename(file)
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if file_name: # Ensure it is not an empty string
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extracted_path = os.path.join(extract_to, file_name)
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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 and flattened {zip_path} to {extract_to}")
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except Exception as e:
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print(f"An error occurred during extraction: {e}")
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def initiate_video():
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file_id = "1Nzy-ep9Zn15_mLAq8rUi-iKPGOpN8g9Q"
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output_file = r"StockVideos-CC01.zip"
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# Download the ZIP file
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gdown.download(f"https://drive.google.com/uc?id={file_id}", output_file, quiet=False)
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print(f"File downloaded successfully: {output_file}")
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# Define paths
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zip_file_path = output_file
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flattened_video_folder = r"videos_flattened"
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frames_output_folder = r"extracted_frames"
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# Ensure directories exist
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os.makedirs(flattened_video_folder, exist_ok=True)
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os.makedirs(frames_output_folder, exist_ok=True)
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# Unzip and flatten the videos
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unzip_file(zip_file_path, flattened_video_folder)
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# Process the videos and extract frames
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extract_frames(flattened_video_folder, frames_output_folder)
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# Add frames to ChromaDB
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add_frames_to_chromadb(flattened_video_folder, frames_output_folder)
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return video_collection
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