File size: 3,199 Bytes
1882299
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
import zipfile
import os
import chromadb
from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction
from chromadb.utils.data_loaders import ImageLoader

import cv2

path = "mm_vdb2"
client = chromadb.PersistentClient(path=path)

image_loader = ImageLoader()
CLIP = OpenCLIPEmbeddingFunction()
video_collection = client.get_or_create_collection(
    name='video_collection',
    embedding_function=CLIP,
    data_loader=image_loader
)

def extract_frames(video_folder, output_folder):
    if not os.path.exists(output_folder):
        os.makedirs(output_folder)

    for video_filename in os.listdir(video_folder):
        if video_filename.endswith('.mp4'):
            video_path = os.path.join(video_folder, video_filename)
            video_capture = cv2.VideoCapture(video_path)
            fps = video_capture.get(cv2.CAP_PROP_FPS)
            frame_count = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
            duration = frame_count / fps

            output_subfolder = os.path.join(output_folder, os.path.splitext(video_filename)[0])
            if not os.path.exists(output_subfolder):
                os.makedirs(output_subfolder)

            success, image = video_capture.read()
            frame_number = 0
            while success:
                if frame_number == 0 or frame_number % int(fps * 5) == 0 or frame_number == frame_count - 1:
                    frame_time = frame_number / fps
                    output_frame_filename = os.path.join(output_subfolder, f'frame_{int(frame_time)}.jpg')
                    cv2.imwrite(output_frame_filename, image)

                success, image = video_capture.read()
                frame_number += 1

            video_capture.release()

def add_frames_to_chromadb(video_dir, frames_dir):
    video_frames = {}

    for video_file in os.listdir(video_dir):
        if video_file.endswith('.mp4'):
            video_title = video_file[:-4]
            frame_folder = os.path.join(frames_dir, video_title)
            if os.path.exists(frame_folder):
                video_frames[video_title] = [f for f in os.listdir(frame_folder) if f.endswith('.jpg')]

    ids = []
    uris = []
    metadatas = []

    for video_title, frames in video_frames.items():
        video_path = os.path.join(video_dir, f"{video_title}.mp4")
        for frame in frames:
            frame_id = f"{frame[:-4]}_{video_title}"
            frame_path = os.path.join(frames_dir, video_title, frame)
            ids.append(frame_id)
            uris.append(frame_path)
            metadatas.append({'video_uri': video_path})

    video_collection.add(ids=ids, uris=uris, metadatas=metadatas)

def process_video_files(video_paths):
    frames_output_folder = r"extracted_frames"

    os.makedirs(frames_output_folder, exist_ok=True)

    for video_path in video_paths:
        video_folder = os.path.dirname(video_path)
        extract_frames(video_folder, frames_output_folder)
        add_frames_to_chromadb(video_folder, frames_output_folder)

    return video_collection

# # Example usage
# video_paths = [
#     "/path/to/video1.mp4",
#     "/path/to/video2.mp4",
#     "/path/to/video3.mp4"
# ]

# process_video_files(video_paths)