Repository
Contains all the models and weights needed to run the algorithms. This data will be downloaded when setting up the network and resolving the dependencies.
- YOLO v3 Models and Weights by Joseph Redmon / pjreddie
- YOLO 9k Weights by Philippe Rémy / philipperemy
- YOLO v4 Models and Weights by AlexeyAB
- YOLO v5 Models by ultralytics
- Single Human Pose Estimation by Global Context for Convolutional Pose Machines
- Multi Human Pose Estimation by Daniil-Osokin/lightweight-human-pose-estimation
- Ultra-Light-Fast-Generic-Face-Detector-1MB by Linzaer
- MNIST by onnx/models
- FER+ Emotion Recognition by onnx/models
- SSR-Net for gender and age classification by shamangary
- Age and Gender Net by Gil Levi and Tal Hassner.
- FacemarkLBF Model by kurnianggoro/GSOC2017
- Handtrackjs Model by victordibia/handtracking
- COCO MobileNet by opencv
- Haar Cascade by OpenCV
- TextBoxes by MhLiao
- TextBoxes++ by MhLiao
- CRNN by bgshih
- Superresolution Models by Saafke
- YOLOv3 Hand Detector (Yolo & Tiny) trained by myself using CMU HandDB
- Cross Hands is trained by myself crossing 3 datasets (CMU, Egohands and my own)
- StyleTransfer models by eccv16
- YOLOv4 / YOLOv3 Tiny PRN / EfficientNetB0-Yolov3 / YOLOv3 OpenImage by AlexeyAB
- FaceEmeddingsExtraction by OpenFace
- Towards Fast, Accurate and Stable 3D Dense Face Alignment
- MiDas Net by Intel
- YOLO-Fastest dog-qiuqiu
- Colorful Image Colorization by Richard Zhang, Phillip Isola, Alexei A. Efros. In ECCV, 2016