mediapipe/mediapipe/modules
MediaPipe Team f96eadd6df Project import generated by Copybara.
GitOrigin-RevId: f7d09ed033907b893638a8eb4148efa11c0f09a6
2020-11-04 19:09:58 -05:00
..
face_detection Project import generated by Copybara. 2020-11-04 19:09:58 -05:00
face_geometry Project import generated by Copybara. 2020-09-17 11:09:17 -04:00
face_landmark Project import generated by Copybara. 2020-11-04 19:09:58 -05:00
hand_landmark Project import generated by Copybara. 2020-11-04 19:09:58 -05:00
iris_landmark Project import generated by Copybara. 2020-08-30 19:52:55 -04:00
palm_detection Project import generated by Copybara. 2020-11-04 19:09:58 -05:00
pose_detection Project import generated by Copybara. 2020-11-04 19:09:58 -05:00
pose_landmark Project import generated by Copybara. 2020-11-04 19:09:58 -05:00
README.md Project import generated by Copybara. 2020-11-04 19:09:58 -05:00

Modules

Each module (represented as a subfolder) provides subgraphs and corresponding resources (e.g. tflite models) to perform domain-specific tasks (e.g. detect faces, detect face landmarks).

Modules listed below are already used in some of mediapipe/graphs and more graphs are being migrated to use existing and upcoming modules.

Module Description
face_detection Subgraphs to detect faces.
face_geometry Subgraphs to extract face geometry.
face_landmark Subgraphs to detect and track face landmarks.
hand_landmark Subgraphs to detect and track hand landmarks.
iris_landmark Subgraphs to detect iris landmarks.
palm_detection Subgraphs to detect palms/hands.
pose_detection Subgraphs to detect poses.
pose_landmark Subgraphs to detect and track pose landmarks.