model

Description

Deep learning model nodes for computer vision.

Modules

model.csrnet	👨‍👩‍👧‍👦 Congested Scene Recognition network: Dilated convolutional neural networks for understanding the highly congested scenes.
model.efficientdet	🔲 Scalable and efficient object detection.
model.fairmot	🎯 Human detection and tracking model that balances the importance between detection and re-ID tasks.
model.hrnet	🕺 High-Resolution Network: Deep high-resolution representation learning for human pose estimation.
model.jde	🎯 Joint Detection and Embedding model for human detection and tracking.
model.mask_rcnn	🎭 Instance segmentation model for generating high-quality masks.
model.movenet	🕺 Fast Pose Estimation model.
model.mtcnn	🔲 Multi-task Cascaded Convolutional Networks for face detection.
model.posenet	🕺 Fast Pose Estimation model.
model.yolact_edge	🎭 Instance segmentation model for real-time inference
model.yolo	🔲 One-stage Object Detection model.
model.yolo_face	🔲 Fast face detection model that can distinguish between masked and unmasked faces.
model.yolo_license_plate	🔲 License Plate Detection model.
model.yolox	🔲 High performance anchor-free YOLO object detection model.