pre trained model of CUB?

[FzuLJ]

Can you please provide a pre trained model for CUB-200-2011?

[xiaomengyc]

@FzuLJ
Sorry for the late reply. The trained model on CUB dataset has been uploaded at https://drive.google.com/open?id=1WfrELBlEoq5WO7gKUv-MLTQ8QHY-2wiX

[Rahul-Venugopal]

When I run sh val_cub_full.sh ,
I am getting following output / Error

Project Root Dir: /home/rahul/Desktop/Thesis/Reference/WSOL/ACoL/SPG
Running parameters:

{
"root_dir":"/home/rahul/Desktop/Thesis/Reference/WSOL/ACoL/SPG",
"train_list":"/home/rahul/Desktop/Thesis/Reference/WSOL/ACoL/SPG/datalist/CUB/train_list.txt",
"tencrop":"False",
"threshold":0.5,
"onehot":"True",
"restore_from":"",
"test_list":"/home/rahul/Desktop/Thesis/Reference/WSOL/ACoL/SPG/datalist/CUB/test_list.txt",
"num_gpu":1,
"crop_size":321,
"disp_interval":20,
"resume":"True",
"snapshot_dir":"../snapshots/inception_imagenet_full_spg/",
"epoch":21,
"lr":0.001,
"input_size":356,
"current_epoch":0,
"num_workers":20,
"batch_size":1,
"global_counter":0,
"dataset":"cub",
"arch":"inception3_spg",
"num_classes":200,
"img_dir":"/home/rahul/Desktop/Thesis/Reference/WSOL/ACoL/SPG/data/CUB_200_2011/images",
"decay_points":"none"
}

../models/google/inception3_spg.py:137: UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform_.
  nn.init.xavier_uniform(m.weight.data)
=> no checkpoint found at ''
0it [00:00, ?it/s]/home/rahul/.virtualenvs/acol/local/lib/python2.7/site-packages/torch/nn/modules/upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead.
  warnings.warn("nn.Upsampling is deprecated. Use nn.functional.interpolate instead.")
/home/rahul/.virtualenvs/acol/local/lib/python2.7/site-packages/torch/nn/functional.py:1961: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
  "See the documentation of nn.Upsample for details.".format(mode))

Traceback (most recent call last):
  File "val_frame.py", line 203, in <module>
    val(args)
  File "val_frame.py", line 132, in val
    val_mAP, prob, gt = cal_mAP(logits0, label_var, prob, gt)
  File "val_frame.py", line 178, in cal_mAP
    assert logits0.size() == label_var.size()
AssertionError

Any suggestions about the mistake I am making ?

[xiaomengyc]

@Rahul-Venugopal
You got to change to onehot=False if your images do not have multiclasses.