Face Search Pipeline

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

# Create reference collection for known faces
ref_collection = client.collections.create(
    namespace_id="ns_your_namespace",
    name="known_faces",
    extractors=["face-identity-extractor"],
    params={"include_face_crops": True}
)

# Create target collection for video content
video_collection = client.collections.create(
    namespace_id="ns_your_namespace",
    name="video_faces",
    extractors=["face-identity-extractor"],
    params={"include_face_crops": True}
)

# Upload reference face photos
client.buckets.upload(bucket_id="bkt_faces", url="s3://your-bucket/faces/")

# Search for a person across all video content
results = client.retrievers.execute(
    retriever_id="ret_face_search",
    query={"image_url": "https://example.com/person-photo.jpg"},
    input_mode="content"
)

for doc in results["results"]:
    print(f"Found in: {doc['root_object_id']} at {doc['start_time']}s")