models.lst

# This file can be used with the --list option of the model downloader.
# For -at centernet
ctdet_coco_dlav0_512
# For -at faceboxes
faceboxes-pytorch
# For -at retinaface-pytorch
retinaface-resnet50-pytorch
# For -at ssd
efficientdet-d0-tf
efficientdet-d1-tf
face-detection-????
face-detection-adas-????
face-detection-retail-????
faster-rcnn-resnet101-coco-sparse-60-0001
faster_rcnn_inception_resnet_v2_atrous_coco
faster_rcnn_resnet50_coco
pedestrian-and-vehicle-detector-adas-????
pedestrian-detection-adas-????
person-detection-????
person-detection-retail-0013
person-vehicle-bike-detection-????
product-detection-0001
rfcn-resnet101-coco-tf
retinanet-tf
ssd-resnet34-1200-onnx
ssd_mobilenet_v1_coco
ssd_mobilenet_v1_fpn_coco
ssdlite_mobilenet_v2
vehicle-detection-????
vehicle-detection-adas-????
vehicle-license-plate-detection-barrier-????
# For -at yolo
mobilenet-yolo-v4-syg
person-vehicle-bike-detection-crossroad-yolov3-1020
yolo-v1-tiny-tf
yolo-v2-ava-0001
yolo-v2-ava-sparse-??-0001
yolo-v2-tiny-ava-0001
yolo-v2-tiny-ava-sparse-??-0001
yolo-v2-tiny-vehicle-detection-0001
yolo-v2-tf
yolo-v2-tiny-tf
yolo-v3-tf
yolo-v3-tiny-tf
yolo-v4-tf
yolo-v4-tiny-tf
yolof
# For -at yolov3-onnx
yolo-v3-onnx
yolo-v3-tiny-onnx
# For -at yolox
yolox-tiny