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License: MIT License
The implementation of our CVPR 2023 paper: Frame-Event Alignment and Fusion Network for High Frame Rate Tracking
License: MIT License
can you provide this fusion model
Thanks for your quite interesting work. However, I have some problems about it.
First, for the data processing, I have prepared data as the file you given, but the file needs
'''python
s = int(sys.argv[1])
e = int(sys.argv[2])
'''
What's them have been defined?
Second, as you defined in the code
'''python
with open('reshot_eotb_val_split.txt', 'r') as f:
a = [i.strip() for i in f.readlines()]
for line in a:
file_name_list.append(line)
'''
What the reshot_eotb_val_split is? Now, I use the test.txt and train.txt as you given.
Third, as you say you split the sequence into multiple subsequences of length 2000. Where is this shown in the code, how can we get the same setup with you. As described in your code, the event is evenly sampled three times in a period of time between the corresponding timestamps of two adjacent frames. How to use this corresponding event when used in combination with a frame
Thanks very much.
Hopes for the reply from you.
Hi, thank you for sharing your great work!
One quick question, what is the license status of the code?
Thank you!
Hi, I've encountered this issue when running this project:
Traceback (most recent call last):
File "run_training.py", line 58, in
main()
File "run_training.py", line 53, in main
run_training(args.train_module, args.train_name, args.cudnn_benchmark)
File "run_training.py", line 42, in run_training
expr_func(settings)
File "/home/ziyangshen/Projects/AFNet/ltr/train_settings/afnet/afnet.py", line 93, in run
net = dimpnet.klcedimpnet18(filter_size=settings.target_filter_sz, backbone_pretrained=True, optim_iter=5,
File "/home/ziyangshen/Projects/AFNet/ltr/admin/model_constructor.py", line 14, in f_wrapper
output = f(*args, **kwds)
File "/home/ziyangshen/Projects/AFNet/ltr/models/tracking/dimpnet.py", line 275, in klcedimpnet18
backbone_net = backbones.resnet18(pretrained=backbone_pretrained, frozen_layers=frozen_backbone_layers)
AttributeError: module 'ltr.models.backbone' has no attribute 'resnet18'
It seems that there's a lot of backbones missing under /ltr/models/backbone, including resnet18, resnet50, resnet_baby ,fusion etc.
Also, are there any pretrained models provided for this project? Thanks.
Looking forward, thanks advance.
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