0guogcfcb4q156ug2eqlg_source.mp4 Direct

python demo.py --cfg experiments/dff_rfcn/cfgs/resnet_v1_101_flownet_imagenet_vid_rfcn_end2end_ohem.yaml --video 0guogcfcb4q156ug2eqlg_source.mp4 Use code with caution. Copied to clipboard Feature Extraction Logic Keyframes ( Ikcap I sub k

For further customization of the network architecture or training on specific datasets, refer to the official GitHub documentation. 0guogcfcb4q156ug2eqlg_source.mp4

:Modify the configuration files located in ./experiments/dff_rfcn/cfgs . Use a standard setup like resnet_v1_101_flownet_imagenet_vid_rfcn_end2end_ohem.yaml for high-performance detection. python demo

The deep features are propagated using a bilinear warping function: 0guogcfcb4q156ug2eqlg_source.mp4