Thanks for sharing the code, may i ask the google drive pretrained model weight is training based on 160 frames or 220 frames?
Because when I test inference_OneSample_VIPL_PhysFormer.py, I found in Loadtemporal_data_test.py the variable clip_frames=220 while in Loadtemporal_data.py clip_frames=160.
On the other hand, i print the each start id and end id of clip, I found every clip exsists overlap of some images, but dont have in training code Loadtemporal_data.py. May I ask the reason of seting the overlaps in Loadtemporal_data_test.py?
following is the printed image id of Loadtemporal_data_test.py
start image id: 61
end image id: 281
start image id: 221
end image id: 441
start image id: 381
end image id: 601
start image id: 541
end image id: 761
Thanks for sharing the code, may i ask the google drive pretrained model weight is training based on 160 frames or 220 frames?
Because when I test inference_OneSample_VIPL_PhysFormer.py, I found in Loadtemporal_data_test.py the variable clip_frames=220 while in Loadtemporal_data.py clip_frames=160.
On the other hand, i print the each start id and end id of clip, I found every clip exsists overlap of some images, but dont have in training code Loadtemporal_data.py. May I ask the reason of seting the overlaps in Loadtemporal_data_test.py?
following is the printed image id of Loadtemporal_data_test.py