Comments (1)
aseuteurideu
commented on July 22, 2024
Assuming you have compiled matconvnet with adnet_compile as written in the README.
As I remember what I did just couple days ago,
- download the dataset (VOT2013, VOT2014, and VOT2015)
- change the directory in utils/get_benchmark_path.m to your dataset directory
- download imagenet-vgg-m-conv1-3.mat and put it inside model folder
adnet_trainin Matlab terminal- drink wine while waiting for the training to be finished
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Related Issues (15)
- about training code HOT 1
- Please upload 'models' files HOT 1
- Why don't you split the adnet into the two nets: policy net and confience net? HOT 1
- Tensorflow version for Training HOT 1
- Training dataset HOT 1
- Can you provide the init model needed for train the network? [net, dummy_nets, dummy_score_nets] = init_model('./models/net_init.mat', opts); train_db_path = './models/train_db.mat';
- Problem of coding RL
- about your example model HOT 3
- The script 'test_demo' is lost HOT 1
- Undefined function or variable 'test_demo' HOT 3
- the error "FILTERS are larger than the DATA (including padding)." during the training HOT 4
- Test with own trained model HOT 1
- About adnet_compile.m HOT 2
- About test result HOT 2
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from adnet.