timesler/facenet-pytorch

Implement alternative detection algorithms

Open

#74 opened on 2020年4月16日

GitHub で見る
 (0 comments) (2 reactions) (0 assignees)Python (830 forks)batch import
help wanted

Repository metrics

Stars
 (3,830 stars)
PR merge metrics
 (30d に merged PR はありません)

説明

As highlighted in #10, the current MTCNN design is appropriate for the project while a single detection method is implemented, but with multiple, it makes more sense to separate the return of bounding boxes and confidences from the cropping of images.

Should also think about returning facial landmarks to implement face alignment following detection.

Retinaface is probably the best option to start with.

コントリビューターガイド