Create Collection

import videodb

conn = videodb.connect()

# Create a collection
coll = conn.create_collection(
    name="Q4 Meetings",
    description="All Q4 2024 team meetings"
)
print(coll.id)  # c-xxx

coll = conn.create_collection(
    name="Security Footage",
    description="Warehouse camera feeds"
)

collections = conn.get_collections()
for c in collections:
    print(f"{c.id}: {c.name}")

coll = conn.get_collection("c-xxx-xxx")

coll = conn.update_collection(
    "c-xxx-xxx",
    "New Name",
    "Updated description"
)

coll.delete()

# List videos
videos = coll.get_videos()
for v in videos:
    print(f"{v.id}: {v.name}")

# List audios
audios = coll.get_audios()

# List images
images = coll.get_images()

from videodb import SearchType

# Index videos first
video.index_spoken_words()

# Search within collection
results = coll.search("quarterly results", search_type=SearchType.semantic)
for shot in results.shots:
    print(f"{shot.start}s: {shot.text}")

public_coll = conn.create_collection(
    name="Demo Videos",
    description="Public demo collection",
    is_public=True
)

# Make private
coll.make_private()
print(coll.is_public)  # False

# Make public
coll.make_public()
print(coll.is_public)  # True

# Access VideoDB's OCR Benchmark Collection
public_coll = conn.get_collection("c-c0a2c223-e377-4625-94bf-910501c2a31c")
videos = public_coll.get_videos()