pytorch >= 1.2.0
cuda10.0
cudnn7.6.5
Cd/Your Code PATH
python detect.py --source "Your image or video PATH" --weights "YOLOv3 Weights PATH" --LiteFlowNet_weights "Your FlowNet weights" --view-img "True or False"
[1] @misc{pytorch-liteflownet,
author = {Simon Niklaus},
title = {A Reimplementation of {LiteFlowNet} using {Pytorch}},
year = {2019},
howpublished = {\url{https://github.com/xiaobin1231/Fall-Detection-By-YOLOV3-and-LiteFlowNet}}
[2] @misc{yolov3,
author = {ultralytics},
title = {YOLOv3 in PyTorch>ONNX>CoreML>iOS},
year = {2019},
howpublished = {\url{https://github.com/xiaobin1231/Fall-Detection-By-YOLOV3-and-LiteFlowNet}}