RuntimeError: Error(s) in loading state_dict for ModelBuilder about pysot HOT 13 CLOSED

Is there more error information? What model are you testing? And which keys are missing?

from pysot.

@lb1100 tested model siamrpn_r50_l234_dwxcorr ,Error executing statement python tools/demo.py
--config experiments/siamrpn_r50_l234_dwxcorr/config.yaml
--snapshot experiments/siamrpn_r50_l234_dwxcorr/model.pth
--video demo/bag.avi
Error is :
Traceback (most recent call last):
File "tools/demo.py", line 109, in
main()
File "tools/demo.py", line 69, in main
map_location=lambda storage, loc: storage.cuda(0)))
File "/home/shiyuanyuan/anaconda3/envs/pysot/lib/python3.7/site-packages/torch/nn/modules/module.py", line 719, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for ModelBuilder:
Missing key(s) in state_dict: "backbone.features.0.weight", "backbone.features.0.bias", "backbone.features.1.weight", "backbone.features.1.bias", "backbone.features.1.running_mean", "backbone.features.1.running_var", "backbone.features.4.weight", "backbone.features.4.bias", "backbone.features.5.weight", "backbone.features.5.bias", "backbone.features.5.running_mean", "backbone.features.5.running_var", "backbone.features.8.weight", "backbone.features.8.bias", "backbone.features.9.weight", "backbone.features.9.bias", "backbone.features.9.running_mean", "backbone.features.9.running_var", "backbone.features.11.weight", "backbone.features.11.bias", "backbone.features.12.weight", "backbone.features.12.bias", "backbone.features.12.running_mean", "backbone.features.12.running_var", "backbone.features.14.weight", "backbone.features.14.bias", "backbone.features.15.weight", "backbone.features.15.bias", "backbone.features.15.running_mean", "backbone.features.15.running_var", "rpn_head.cls.conv_kernel.0.weight", "rpn_head.cls.conv_kernel.1.weight", "rpn_head.cls.conv_kernel.1.bias", "rpn_head.cls.conv_kernel.1.running_mean", "rpn_head.cls.conv_kernel.1.running_var", "rpn_head.cls.conv_search.0.weight", "rpn_head.cls.conv_search.1.weight", "rpn_head.cls.conv_search.1.bias", "rpn_head.cls.conv_search.1.running_mean", "rpn_head.cls.conv_search.1.running_var", "rpn_head.cls.head.0.weight", "rpn_head.cls.head.1.weight", "rpn_head.cls.head.1.bias", "rpn_head.cls.head.1.running_mean", "rpn_head.cls.head.1.running_var", "rpn_head.cls.head.3.weight", "rpn_head.cls.head.3.bias", "rpn_head.loc.conv_kernel.0.weight", "rpn_head.loc.conv_kernel.1.weight", "rpn_head.loc.conv_kernel.1.bias", "rpn_head.loc.conv_kernel.1.running_mean", "rpn_head.loc.conv_kernel.1.running_var", "rpn_head.loc.conv_search.0.weight", "rpn_head.loc.conv_search.1.weight", "rpn_head.loc.conv_search.1.bias", "rpn_head.loc.conv_search.1.running_mean", "rpn_head.loc.conv_search.1.running_var", "rpn_head.loc.head.0.weight", "rpn_head.loc.head.1.weight", "rpn_head.loc.head.1.bias", "rpn_head.loc.head.1.running_mean", "rpn_head.loc.head.1.running_var", "rpn_head.loc.head.3.weight", "rpn_head.loc.head.3.bias".
Unexpected key(s) in state_dict: "neck.downsample2.downsample.0.weight", "neck.downsample2.downsample.1.weight", "neck.downsample2.downsample.1.bias", "neck.downsample2.downsample.1.running_mean", "neck.downsample2.downsample.1.running_var", "neck.downsample3.downsample.0.weight", "neck.downsample3.downsample.1.weight", "neck.downsample3.downsample.1.bias", "neck.downsample3.downsample.1.running_mean", "neck.downsample3.downsample.1.running_var", "neck.downsample4.downsample.0.weight", "neck.downsample4.downsample.1.weight", "neck.downsample4.downsample.1.bias", "neck.downsample4.downsample.1.running_mean", "neck.downsample4.downsample.1.running_var", "backbone.conv1.weight", "backbone.bn1.weight", "backbone.bn1.bias", "backbone.bn1.running_mean", "backbone.bn1.running_var", "backbone.layer1.0.conv1.weight", "backbone.layer1.0.bn1.weight", "backbone.layer1.0.bn1.bias", "backbone.layer1.0.bn1.running_mean", "backbone.layer1.0.bn1.running_var", "backbone.layer1.0.conv2.weight", "backbone.layer1.0.bn2.weight", "backbone.layer1.0.bn2.bias", "backbone.layer1.0.bn2.running_mean", "backbone.layer1.0.bn2.running_var", "backbone.layer1.0.conv3.weight", "backbone.layer1.0.bn3.weight", "backbone.layer1.0.bn3.bias", "backbone.layer1.0.bn3.running_mean", "backbone.layer1.0.bn3.running_var", "backbone.layer1.0.downsample.0.weight", "backbone.layer1.0.downsample.1.weight", "backbone.layer1.0.downsample.1.bias", "backbone.layer1.0.downsample.1.running_mean", "backbone.layer1.0.downsample.1.running_var", "backbone.layer1.1.conv1.weight", "backbone.layer1.1.bn1.weight", "backbone.layer1.1.bn1.bias", "backbone.layer1.1.bn1.running_mean", "backbone.layer1.1.bn1.running_var", "backbone.layer1.1.conv2.weight", "backbone.layer1.1.bn2.weight", "backbone.layer1.1.bn2.bias", "backbone.layer1.1.bn2.running_mean", "backbone.layer1.1.bn2.running_var", "backbone.layer1.1.conv3.weight", "backbone.layer1.1.bn3.weight", "backbone.layer1.1.bn3.bias", "backbone.layer1.1.bn3.running_mean", "backbone.layer1.1.bn3.running_var", "backbone.layer1.2.conv1.weight", "backbone.layer1.2.bn1.weight", "backbone.layer1.2.bn1.bias", "backbone.layer1.2.bn1.running_mean", "backbone.layer1.2.bn1.running_var", "backbone.layer1.2.conv2.weight", "backbone.layer1.2.bn2.weight", "backbone.layer1.2.bn2.bias", "backbone.layer1.2.bn2.running_mean", "backbone.layer1.2.bn2.running_var", "backbone.layer1.2.conv3.weight", "backbone.layer1.2.bn3.weight", "backbone.layer1.2.bn3.bias", "backbone.layer1.2.bn3.running_mean", "backbone.layer1.2.bn3.running_var", "backbone.layer2.0.conv1.weight", "backbone.layer2.0.bn1.weight", "backbone.layer2.0.bn1.bias", "backbone.layer2.0.bn1.running_mean", "backbone.layer2.0.bn1.running_var", "backbone.layer2.0.conv2.weight", "backbone.layer2.0.bn2.weight", "backbone.layer2.0.bn2.bias", "backbone.layer2.0.bn2.running_mean", "backbone.layer2.0.bn2.running_var", "backbone.layer2.0.conv3.weight", "backbone.layer2.0.bn3.weight", "backbone.layer2.0.bn3.bias", "backbone.layer2.0.bn3.running_mean", "backbone.layer2.0.bn3.running_var", "backbone.layer2.0.downsample.0.weight", "backbone.layer2.0.downsample.1.weight", "backbone.layer2.0.downsample.1.bias", "backbone.layer2.0.downsample.1.running_mean", "backbone.layer2.0.downsample.1.running_var", "backbone.layer2.1.conv1.weight", "backbone.layer2.1.bn1.weight", "backbone.layer2.1.bn1.bias", "backbone.layer2.1.bn1.running_mean", "backbone.layer2.1.bn1.running_var", "backbone.layer2.1.conv2.weight", "backbone.layer2.1.bn2.weight", "backbone.layer2.1.bn2.bias", "backbone.layer2.1.bn2.running_mean", "backbone.layer2.1.bn2.running_var", "backbone.layer2.1.conv3.weight", "backbone.layer2.1.bn3.weight", "backbone.layer2.1.bn3.bias", "backbone.layer2.1.bn3.running_mean", "backbone.layer2.1.bn3.running_var", "backbone.layer2.2.conv1.weight", "backbone.layer2.2.bn1.weight", "backbone.layer2.2.bn1.bias", "backbone.layer2.2.bn1.running_mean", "backbone.layer2.2.bn1.running_var", "backbone.layer2.2.conv2.weight", "backbone.layer2.2.bn2.weight", "backbone.layer2.2.bn2.bias", "backbone.layer2.2.bn2.running_mean", "backbone.layer2.2.bn2.running_var", "backbone.layer2.2.conv3.weight", "backbone.layer2.2.bn3.weight", "backbone.layer2.2.bn3.bias", "backbone.layer2.2.bn3.running_mean", "backbone.layer2.2.bn3.running_var", "backbone.layer2.3.conv1.weight", "backbone.layer2.3.bn1.weight", "backbone.layer2.3.bn1.bias", "backbone.layer2.3.bn1.running_mean", "backbone.layer2.3.bn1.running_var", "backbone.layer2.3.conv2.weight", "backbone.layer2.3.bn2.weight", "backbone.layer2.3.bn2.bias", "backbone.layer2.3.bn2.running_mean", "backbone.layer2.3.bn2.running_var", "backbone.layer2.3.conv3.weight", "backbone.layer2.3.bn3.weight", "backbone.layer2.3.bn3.bias", "backbone.layer2.3.bn3.running_mean", "backbone.layer2.3.bn3.running_var", "backbone.layer3.0.conv1.weight", "backbone.layer3.0.bn1.weight", "backbone.layer3.0.bn1.bias", "backbone.layer3.0.bn1.running_mean", "backbone.layer3.0.bn1.running_var", "backbone.layer3.0.conv2.weight", "backbone.layer3.0.bn2.weight", "backbone.layer3.0.bn2.bias", "backbone.layer3.0.bn2.running_mean", "backbone.layer3.0.bn2.running_var", "backbone.layer3.0.conv3.weight", "backbone.layer3.0.bn3.weight", "backbone.layer3.0.bn3.bias", "backbone.layer3.0.bn3.running_mean", "backbone.layer3.0.bn3.running_var", "backbone.layer3.0.downsample.0.weight", "backbone.layer3.0.downsample.1.weight", "backbone.layer3.0.downsample.1.bias", "backbone.layer3.0.downsample.1.running_mean", "backbone.layer3.0.downsample.1.running_var", "backbone.layer3.1.conv1.weight", "backbone.layer3.1.bn1.weight", "backbone.layer3.1.bn1.bias", "backbone.layer3.1.bn1.running_mean", "backbone.layer3.1.bn1.running_var", "backbone.layer3.1.conv2.weight", "backbone.layer3.1.bn2.weight", "backbone.layer3.1.bn2.bias", "backbone.layer3.1.bn2.running_mean", "backbone.layer3.1.bn2.running_var", "backbone.layer3.1.conv3.weight", "backbone.layer3.1.bn3.weight", "backbone.layer3.1.bn3.bias", "backbone.layer3.1.bn3.running_mean", "backbone.layer3.1.bn3.running_var", "backbone.layer3.2.conv1.weight", "backbone.layer3.2.bn1.weight", "backbone.layer3.2.bn1.bias", "backbone.layer3.2.bn1.running_mean", "backbone.layer3.2.bn1.running_var", "backbone.layer3.2.conv2.weight", "backbone.layer3.2.bn2.weight", "backbone.layer3.2.bn2.bias", "backbone.layer3.2.bn2.running_mean", "backbone.layer3.2.bn2.running_var", "backbone.layer3.2.conv3.weight", "backbone.layer3.2.bn3.weight", "backbone.layer3.2.bn3.bias", "backbone.layer3.2.bn3.running_mean", "backbone.layer3.2.bn3.running_var", "backbone.layer3.3.conv1.weight", "backbone.layer3.3.bn1.weight", "backbone.layer3.3.bn1.bias", "backbone.layer3.3.bn1.running_mean", "backbone.layer3.3.bn1.running_var", "backbone.layer3.3.conv2.weight", "backbone.layer3.3.bn2.weight", "backbone.layer3.3.bn2.bias", "backbone.layer3.3.bn2.running_mean", "backbone.layer3.3.bn2.running_var", "backbone.layer3.3.conv3.weight", "backbone.layer3.3.bn3.weight", "backbone.layer3.3.bn3.bias", "backbone.layer3.3.bn3.running_mean", "backbone.layer3.3.bn3.running_var", "backbone.layer3.4.conv1.weight", "backbone.layer3.4.bn1.weight", "backbone.layer3.4.bn1.bias", "backbone.layer3.4.bn1.running_mean", "backbone.layer3.4.bn1.running_var", "backbone.layer3.4.conv2.weight", "backbone.layer3.4.bn2.weight", "backbone.layer3.4.bn2.bias", "backbone.layer3.4.bn2.running_mean", "backbone.layer3.4.bn2.running_var", "backbone.layer3.4.conv3.weight", "backbone.layer3.4.bn3.weight", "backbone.layer3.4.bn3.bias", "backbone.layer3.4.bn3.running_mean", "backbone.layer3.4.bn3.running_var", "backbone.layer3.5.conv1.weight", "backbone.layer3.5.bn1.weight", "backbone.layer3.5.bn1.bias", "backbone.layer3.5.bn1.running_mean", "backbone.layer3.5.bn1.running_var", "backbone.layer3.5.conv2.weight", "backbone.layer3.5.bn2.weight", "backbone.layer3.5.bn2.bias", "backbone.layer3.5.bn2.running_mean", "backbone.layer3.5.bn2.running_var", "backbone.layer3.5.conv3.weight", "backbone.layer3.5.bn3.weight", "backbone.layer3.5.bn3.bias", "backbone.layer3.5.bn3.running_mean", "backbone.layer3.5.bn3.running_var", "backbone.layer4.0.conv1.weight", "backbone.layer4.0.bn1.weight", "backbone.layer4.0.bn1.bias", "backbone.layer4.0.bn1.running_mean", "backbone.layer4.0.bn1.running_var", "backbone.layer4.0.conv2.weight", "backbone.layer4.0.bn2.weight", "backbone.layer4.0.bn2.bias", "backbone.layer4.0.bn2.running_mean", "backbone.layer4.0.bn2.running_var", "backbone.layer4.0.conv3.weight", "backbone.layer4.0.bn3.weight", "backbone.layer4.0.bn3.bias", "backbone.layer4.0.bn3.running_mean", "backbone.layer4.0.bn3.running_var", "backbone.layer4.0.downsample.0.weight", "backbone.layer4.0.downsample.1.weight", "backbone.layer4.0.downsample.1.bias", "backbone.layer4.0.downsample.1.running_mean", "backbone.layer4.0.downsample.1.running_var", "backbone.layer4.1.conv1.weight", "backbone.layer4.1.bn1.weight", "backbone.layer4.1.bn1.bias", "backbone.layer4.1.bn1.running_mean", "backbone.layer4.1.bn1.running_var", "backbone.layer4.1.conv2.weight", "backbone.layer4.1.bn2.weight", "backbone.layer4.1.bn2.bias", "backbone.layer4.1.bn2.running_mean", "backbone.layer4.1.bn2.running_var", "backbone.layer4.1.conv3.weight", "backbone.layer4.1.bn3.weight", "backbone.layer4.1.bn3.bias", "backbone.layer4.1.bn3.running_mean", "backbone.layer4.1.bn3.running_var", "backbone.layer4.2.conv1.weight", "backbone.layer4.2.bn1.weight", "backbone.layer4.2.bn1.bias", "backbone.layer4.2.bn1.running_mean", "backbone.layer4.2.bn1.running_var", "backbone.layer4.2.conv2.weight", "backbone.layer4.2.bn2.weight", "backbone.layer4.2.bn2.bias", "backbone.layer4.2.bn2.running_mean", "backbone.layer4.2.bn2.running_var", "backbone.layer4.2.conv3.weight", "backbone.layer4.2.bn3.weight", "backbone.layer4.2.bn3.bias", "backbone.layer4.2.bn3.running_mean", "backbone.layer4.2.bn3.running_var", "rpn_head.cls_weight", "rpn_head.loc_weight", "rpn_head.rpn2.cls.conv_kernel.0.weight", "rpn_head.rpn2.cls.conv_kernel.1.weight", "rpn_head.rpn2.cls.conv_kernel.1.bias", "rpn_head.rpn2.cls.conv_kernel.1.running_mean", "rpn_head.rpn2.cls.conv_kernel.1.running_var", "rpn_head.rpn2.cls.conv_search.0.weight", "rpn_head.rpn2.cls.conv_search.1.weight", "rpn_head.rpn2.cls.conv_search.1.bias", "rpn_head.rpn2.cls.conv_search.1.running_mean", "rpn_head.rpn2.cls.conv_search.1.running_var", "rpn_head.rpn2.cls.head.0.weight", "rpn_head.rpn2.cls.head.1.weight", "rpn_head.rpn2.cls.head.1.bias", "rpn_head.rpn2.cls.head.1.running_mean", "rpn_head.rpn2.cls.head.1.running_var", "rpn_head.rpn2.cls.head.3.weight", "rpn_head.rpn2.cls.head.3.bias", "rpn_head.rpn2.loc.conv_kernel.0.weight", "rpn_head.rpn2.loc.conv_kernel.1.weight", "rpn_head.rpn2.loc.conv_kernel.1.bias", "rpn_head.rpn2.loc.conv_kernel.1.running_mean", "rpn_head.rpn2.loc.conv_kernel.1.running_var", "rpn_head.rpn2.loc.conv_search.0.weight", "rpn_head.rpn2.loc.conv_search.1.weight", "rpn_head.rpn2.loc.conv_search.1.bias", "rpn_head.rpn2.loc.conv_search.1.running_mean", "rpn_head.rpn2.loc.conv_search.1.running_var", "rpn_head.rpn2.loc.head.0.weight", "rpn_head.rpn2.loc.head.1.weight", "rpn_head.rpn2.loc.head.1.bias", "rpn_head.rpn2.loc.head.1.running_mean", "rpn_head.rpn2.loc.head.1.running_var", "rpn_head.rpn2.loc.head.3.weight", "rpn_head.rpn2.loc.head.3.bias", "rpn_head.rpn3.cls.conv_kernel.0.weight", "rpn_head.rpn3.cls.conv_kernel.1.weight", "rpn_head.rpn3.cls.conv_kernel.1.bias", "rpn_head.rpn3.cls.conv_kernel.1.running_mean", "rpn_head.rpn3.cls.conv_kernel.1.running_var", "rpn_head.rpn3.cls.conv_search.0.weight", "rpn_head.rpn3.cls.conv_search.1.weight", "rpn_head.rpn3.cls.conv_search.1.bias", "rpn_head.rpn3.cls.conv_search.1.running_mean", "rpn_head.rpn3.cls.conv_search.1.running_var", "rpn_head.rpn3.cls.head.0.weight", "rpn_head.rpn3.cls.head.1.weight", "rpn_head.rpn3.cls.head.1.bias", "rpn_head.rpn3.cls.head.1.running_mean", "rpn_head.rpn3.cls.head.1.running_var", "rpn_head.rpn3.cls.head.3.weight", "rpn_head.rpn3.cls.head.3.bias", "rpn_head.rpn3.loc.conv_kernel.0.weight", "rpn_head.rpn3.loc.conv_kernel.1.weight", "rpn_head.rpn3.loc.conv_kernel.1.bias", "rpn_head.rpn3.loc.conv_kernel.1.running_mean", "rpn_head.rpn3.loc.conv_kernel.1.running_var", "rpn_head.rpn3.loc.conv_search.0.weight", "rpn_head.rpn3.loc.conv_search.1.weight", "rpn_head.rpn3.loc.conv_search.1.bias", "rpn_head.rpn3.loc.conv_search.1.running_mean", "rpn_head.rpn3.loc.conv_search.1.running_var", "rpn_head.rpn3.loc.head.0.weight", "rpn_head.rpn3.loc.head.1.weight", "rpn_head.rpn3.loc.head.1.bias", "rpn_head.rpn3.loc.head.1.running_mean", "rpn_head.rpn3.loc.head.1.running_var", "rpn_head.rpn3.loc.head.3.weight", "rpn_head.rpn3.loc.head.3.bias", "rpn_head.rpn4.cls.conv_kernel.0.weight", "rpn_head.rpn4.cls.conv_kernel.1.weight", "rpn_head.rpn4.cls.conv_kernel.1.bias", "rpn_head.rpn4.cls.conv_kernel.1.running_mean", "rpn_head.rpn4.cls.conv_kernel.1.running_var", "rpn_head.rpn4.cls.conv_search.0.weight", "rpn_head.rpn4.cls.conv_search.1.weight", "rpn_head.rpn4.cls.conv_search.1.bias", "rpn_head.rpn4.cls.conv_search.1.running_mean", "rpn_head.rpn4.cls.conv_search.1.running_var", "rpn_head.rpn4.cls.head.0.weight", "rpn_head.rpn4.cls.head.1.weight", "rpn_head.rpn4.cls.head.1.bias", "rpn_head.rpn4.cls.head.1.running_mean", "rpn_head.rpn4.cls.head.1.running_var", "rpn_head.rpn4.cls.head.3.weight", "rpn_head.rpn4.cls.head.3.bias", "rpn_head.rpn4.loc.conv_kernel.0.weight", "rpn_head.rpn4.loc.conv_kernel.1.weight", "rpn_head.rpn4.loc.conv_kernel.1.bias", "rpn_head.rpn4.loc.conv_kernel.1.running_mean", "rpn_head.rpn4.loc.conv_kernel.1.running_var", "rpn_head.rpn4.loc.conv_search.0.weight", "rpn_head.rpn4.loc.conv_search.1.weight", "rpn_head.rpn4.loc.conv_search.1.bias", "rpn_head.rpn4.loc.conv_search.1.running_mean", "rpn_head.rpn4.loc.conv_search.1.running_var", "rpn_head.rpn4.loc.head.0.weight", "rpn_head.rpn4.loc.head.1.weight", "rpn_head.rpn4.loc.head.1.bias", "rpn_head.rpn4.loc.head.1.running_mean", "rpn_head.rpn4.loc.head.1.running_var", "rpn_head.rpn4.loc.head.3.weight", "rpn_head.rpn4.loc.head.3.bias".

from pysot.

It seems all keys are missing. Try to download the model again. I think there is something wrong about your model.pth . Did you put the wrong model ? Maybe the model you downloaded is Alexnet version ?

from pysot.

from pysot.

A new error occurred when the model was redownloaded.
Traceback (most recent call last):
File "tools/demo.py", line 109, in
main()
File "tools/demo.py", line 60, in main
cfg.merge_from_file(args.config)
File "/home/shiyuanyuan/anaconda3/envs/pysot/lib/python3.7/site-packages/yacs/config.py", line 213, in merge_from_file
self.merge_from_other_cfg(cfg)
File "/home/shiyuanyuan/anaconda3/envs/pysot/lib/python3.7/site-packages/yacs/config.py", line 217, in merge_from_other_cfg
_merge_a_into_b(cfg_other, self, self, [])
File "/home/shiyuanyuan/anaconda3/envs/pysot/lib/python3.7/site-packages/yacs/config.py", line 460, in _merge_a_into_b
_merge_a_into_b(v, b[k], root, key_list + [k])
File "/home/shiyuanyuan/anaconda3/envs/pysot/lib/python3.7/site-packages/yacs/config.py", line 473, in _merge_a_into_b
raise KeyError("Non-existent config key: {}".format(full_key))
KeyError: 'Non-existent config key: BACKBONE.LAYERS'

from pysot.

Try pull the latest repo.

from pysot.

I've used the latest @StrangerZhang

from pysot.

Something wrong with your config.yaml, could you provide your config.yaml?

from pysot.

from pysot.

This is my config.yaml
META_ARC: "siamrpn_r50_l234_dwxcorr"

BACKBONE:
TYPE: "pysot.models.backbone.resnet_atrous.resnet50"
LAYERS: [2, 3, 4]
CHANNELS: [512, 1024, 2048]

ADJUST:
ADJUST: true
TYPE: "pysot.models.neck.neck.AdjustAllLayer"
ADJUST_CHANNEL: [256, 256, 256]

RPN:
TYPE: 'pysot.models.head.rpn.MultiRPN'
WEIGHTED: True

MASK:
MASK: False

ANCHOR:
STRIDE: 8
RATIOS: [0.33, 0.5, 1, 2, 3]
SCALES: [8]
ANCHOR_NUM: 5

TRACK:
TYPE: 'pysot.tracker.siamrpn_tracker.SiamRPNTracker'
PENALTY_K: 0.05
WINDOW_INFLUENCE: 0.42
LR: 0.38
EXEMPLAR_SIZE: 127
INSTANCE_SIZE: 255
BASE_SIZE: 8
CONTEXT_AMOUNT: 0.5
@StrangerZhang

from pysot.

This the old version. Please pull the latest repo.

from pysot.

How to fix this error?

(py37) pancras@XC0:~/Desktop/SiamRPN++/pysot$ python3.7 tools/demo.py
--config experiments/siamrpn_r50_l234_dwxcorr/config.yaml
--snapshot experiments/siamrpn_r50_l234_dwxcorr/model.pth
--video demo/bag.avi

Traceback (most recent call last):
File "tools/demo.py", line 109, in
main()
File "tools/demo.py", line 69, in main
map_location=lambda storage, loc: storage.cpu()))
File "/home/pancras/.conda/envs/py37/lib/python3.7/site-packages/torch/nn/modules/module.py", line 777, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for ModelBuilder:
Missing key(s) in state_dict: "backbone.conv1.weight", "backbone.bn1.weight", "backbone.bn1.bias", "backbone.bn1.running_mean", "backbone.bn1.running_var", "backbone.layer1.0.conv1.weight", "backbone.layer1.0.bn1.weight", "backbone.layer1.0.bn1.bias", "backbone.layer1.0.bn1.running_mean", "backbone.layer1.0.bn1.running_var", "backbone.layer1.0.conv2.weight", "backbone.layer1.0.bn2.weight", "backbone.layer1.0.bn2.bias", "backbone.layer1.0.bn2.running_mean", "backbone.layer1.0.bn2.running_var", "backbone.layer1.0.conv3.weight", "backbone.layer1.0.bn3.weight", "backbone.layer1.0.bn3.bias", "backbone.layer1.0.bn3.running_mean", "backbone.layer1.0.bn3.running_var", "backbone.layer1.0.downsample.0.weight", "backbone.layer1.0.downsample.1.weight", "backbone.layer1.0.downsample.1.bias", "backbone.layer1.0.downsample.1.running_mean", "backbone.layer1.0.downsample.1.running_var", "backbone.layer1.1.conv1.weight", "backbone.layer1.1.bn1.weight", "backbone.layer1.1.bn1.bias", "backbone.layer1.1.bn1.running_mean", "backbone.layer1.1.bn1.running_var", "backbone.layer1.1.conv2.weight", "backbone.layer1.1.bn2.weight", "backbone.layer1.1.bn2.bias", "backbone.layer1.1.bn2.running_mean", "backbone.layer1.1.bn2.running_var", "backbone.layer1.1.conv3.weight", "backbone.layer1.1.bn3.weight", "backbone.layer1.1.bn3.bias", "backbone.layer1.1.bn3.running_mean", "backbone.layer1.1.bn3.running_var", "backbone.layer1.2.conv1.weight", "backbone.layer1.2.bn1.weight", "backbone.layer1.2.bn1.bias", "backbone.layer1.2.bn1.running_mean", "backbone.layer1.2.bn1.running_var", "backbone.layer1.2.conv2.weight", "backbone.layer1.2.bn2.weight", "backbone.layer1.2.bn2.bias", "backbone.layer1.2.bn2.running_mean", "backbone.layer1.2.bn2.running_var", "backbone.layer1.2.conv3.weight", "backbone.layer1.2.bn3.weight", "backbone.layer1.2.bn3.bias", "backbone.layer1.2.bn3.running_mean", "backbone.layer1.2.bn3.running_var", "backbone.layer2.0.conv1.weight", "backbone.layer2.0.bn1.weight", "backbone.layer2.0.bn1.bias", "backbone.layer2.0.bn1.running_mean", "backbone.layer2.0.bn1.running_var", "backbone.layer2.0.conv2.weight", "backbone.layer2.0.bn2.weight", "backbone.layer2.0.bn2.bias", "backbone.layer2.0.bn2.running_mean", "backbone.layer2.0.bn2.running_var", "backbone.layer2.0.conv3.weight", "backbone.layer2.0.bn3.weight", "backbone.layer2.0.bn3.bias", "backbone.layer2.0.bn3.running_mean", "backbone.layer2.0.bn3.running_var", "backbone.layer2.0.downsample.0.weight", "backbone.layer2.0.downsample.1.weight", "backbone.layer2.0.downsample.1.bias", "backbone.layer2.0.downsample.1.running_mean", "backbone.layer2.0.downsample.1.running_var", "backbone.layer2.1.conv1.weight", "backbone.layer2.1.bn1.weight", "backbone.layer2.1.bn1.bias", "backbone.layer2.1.bn1.running_mean", "backbone.layer2.1.bn1.running_var", "backbone.layer2.1.conv2.weight", "backbone.layer2.1.bn2.weight", "backbone.layer2.1.bn2.bias", "backbone.layer2.1.bn2.running_mean", "backbone.layer2.1.bn2.running_var", "backbone.layer2.1.conv3.weight", "backbone.layer2.1.bn3.weight", "backbone.layer2.1.bn3.bias", "backbone.layer2.1.bn3.running_mean", "backbone.layer2.1.bn3.running_var", "backbone.layer2.2.conv1.weight", "backbone.layer2.2.bn1.weight", "backbone.layer2.2.bn1.bias", "backbone.layer2.2.bn1.running_mean", "backbone.layer2.2.bn1.running_var", "backbone.layer2.2.conv2.weight", "backbone.layer2.2.bn2.weight", "backbone.layer2.2.bn2.bias", "backbone.layer2.2.bn2.running_mean", "backbone.layer2.2.bn2.running_var", "backbone.layer2.2.conv3.weight", "backbone.layer2.2.bn3.weight", "backbone.layer2.2.bn3.bias", "backbone.layer2.2.bn3.running_mean", "backbone.layer2.2.bn3.running_var", "backbone.layer2.3.conv1.weight", "backbone.layer2.3.bn1.weight", "backbone.layer2.3.bn1.bias", "backbone.layer2.3.bn1.running_mean", "backbone.layer2.3.bn1.running_var", "backbone.layer2.3.conv2.weight", "backbone.layer2.3.bn2.weight", "backbone.layer2.3.bn2.bias", "backbone.layer2.3.bn2.running_mean", "backbone.layer2.3.bn2.running_var", "backbone.layer2.3.conv3.weight", "backbone.layer2.3.bn3.weight", "backbone.layer2.3.bn3.bias", "backbone.layer2.3.bn3.running_mean", "backbone.layer2.3.bn3.running_var", "backbone.layer3.0.conv1.weight", "backbone.layer3.0.bn1.weight", "backbone.layer3.0.bn1.bias", "backbone.layer3.0.bn1.running_mean", "backbone.layer3.0.bn1.running_var", "backbone.layer3.0.conv2.weight", "backbone.layer3.0.bn2.weight", "backbone.layer3.0.bn2.bias", "backbone.layer3.0.bn2.running_mean", "backbone.layer3.0.bn2.running_var", "backbone.layer3.0.conv3.weight", "backbone.layer3.0.bn3.weight", "backbone.layer3.0.bn3.bias", "backbone.layer3.0.bn3.running_mean", "backbone.layer3.0.bn3.running_var", "backbone.layer3.0.downsample.0.weight", "backbone.layer3.0.downsample.1.weight", "backbone.layer3.0.downsample.1.bias", "backbone.layer3.0.downsample.1.running_mean", "backbone.layer3.0.downsample.1.running_var", "backbone.layer3.1.conv1.weight", "backbone.layer3.1.bn1.weight", "backbone.layer3.1.bn1.bias", "backbone.layer3.1.bn1.running_mean", "backbone.layer3.1.bn1.running_var", "backbone.layer3.1.conv2.weight", "backbone.layer3.1.bn2.weight", "backbone.layer3.1.bn2.bias", "backbone.layer3.1.bn2.running_mean", "backbone.layer3.1.bn2.running_var", "backbone.layer3.1.conv3.weight", "backbone.layer3.1.bn3.weight", "backbone.layer3.1.bn3.bias", "backbone.layer3.1.bn3.running_mean", "backbone.layer3.1.bn3.running_var", "backbone.layer3.2.conv1.weight", "backbone.layer3.2.bn1.weight", "backbone.layer3.2.bn1.bias", "backbone.layer3.2.bn1.running_mean", "backbone.layer3.2.bn1.running_var", "backbone.layer3.2.conv2.weight", "backbone.layer3.2.bn2.weight", "backbone.layer3.2.bn2.bias", "backbone.layer3.2.bn2.running_mean", "backbone.layer3.2.bn2.running_var", "backbone.layer3.2.conv3.weight", "backbone.layer3.2.bn3.weight", "backbone.layer3.2.bn3.bias", "backbone.layer3.2.bn3.running_mean", "backbone.layer3.2.bn3.running_var", "backbone.layer3.3.conv1.weight", "backbone.layer3.3.bn1.weight", "backbone.layer3.3.bn1.bias", "backbone.layer3.3.bn1.running_mean", "backbone.layer3.3.bn1.running_var", "backbone.layer3.3.conv2.weight", "backbone.layer3.3.bn2.weight", "backbone.layer3.3.bn2.bias", "backbone.layer3.3.bn2.running_mean", "backbone.layer3.3.bn2.running_var", "backbone.layer3.3.conv3.weight", "backbone.layer3.3.bn3.weight", "backbone.layer3.3.bn3.bias", "backbone.layer3.3.bn3.running_mean", "backbone.layer3.3.bn3.running_var", "backbone.layer3.4.conv1.weight", "backbone.layer3.4.bn1.weight", "backbone.layer3.4.bn1.bias", "backbone.layer3.4.bn1.running_mean", "backbone.layer3.4.bn1.running_var", "backbone.layer3.4.conv2.weight", "backbone.layer3.4.bn2.weight", "backbone.layer3.4.bn2.bias", "backbone.layer3.4.bn2.running_mean", "backbone.layer3.4.bn2.running_var", "backbone.layer3.4.conv3.weight", "backbone.layer3.4.bn3.weight", "backbone.layer3.4.bn3.bias", "backbone.layer3.4.bn3.running_mean", "backbone.layer3.4.bn3.running_var", "backbone.layer3.5.conv1.weight", "backbone.layer3.5.bn1.weight", "backbone.layer3.5.bn1.bias", "backbone.layer3.5.bn1.running_mean", "backbone.layer3.5.bn1.running_var", "backbone.layer3.5.conv2.weight", "backbone.layer3.5.bn2.weight", "backbone.layer3.5.bn2.bias", "backbone.layer3.5.bn2.running_mean", "backbone.layer3.5.bn2.running_var", "backbone.layer3.5.conv3.weight", "backbone.layer3.5.bn3.weight", "backbone.layer3.5.bn3.bias", "backbone.layer3.5.bn3.running_mean", "backbone.layer3.5.bn3.running_var", "backbone.layer4.0.conv1.weight", "backbone.layer4.0.bn1.weight", "backbone.layer4.0.bn1.bias", "backbone.layer4.0.bn1.running_mean", "backbone.layer4.0.bn1.running_var", "backbone.layer4.0.conv2.weight", "backbone.layer4.0.bn2.weight", "backbone.layer4.0.bn2.bias", "backbone.layer4.0.bn2.running_mean", "backbone.layer4.0.bn2.running_var", "backbone.layer4.0.conv3.weight", "backbone.layer4.0.bn3.weight", "backbone.layer4.0.bn3.bias", "backbone.layer4.0.bn3.running_mean", "backbone.layer4.0.bn3.running_var", "backbone.layer4.0.downsample.0.weight", "backbone.layer4.0.downsample.1.weight", "backbone.layer4.0.downsample.1.bias", "backbone.layer4.0.downsample.1.running_mean", "backbone.layer4.0.downsample.1.running_var", "backbone.layer4.1.conv1.weight", "backbone.layer4.1.bn1.weight", "backbone.layer4.1.bn1.bias", "backbone.layer4.1.bn1.running_mean", "backbone.layer4.1.bn1.running_var", "backbone.layer4.1.conv2.weight", "backbone.layer4.1.bn2.weight", "backbone.layer4.1.bn2.bias", "backbone.layer4.1.bn2.running_mean", "backbone.layer4.1.bn2.running_var", "backbone.layer4.1.conv3.weight", "backbone.layer4.1.bn3.weight", "backbone.layer4.1.bn3.bias", "backbone.layer4.1.bn3.running_mean", "backbone.layer4.1.bn3.running_var", "backbone.layer4.2.conv1.weight", "backbone.layer4.2.bn1.weight", "backbone.layer4.2.bn1.bias", "backbone.layer4.2.bn1.running_mean", "backbone.layer4.2.bn1.running_var", "backbone.layer4.2.conv2.weight", "backbone.layer4.2.bn2.weight", "backbone.layer4.2.bn2.bias", "backbone.layer4.2.bn2.running_mean", "backbone.layer4.2.bn2.running_var", "backbone.layer4.2.conv3.weight", "backbone.layer4.2.bn3.weight", "backbone.layer4.2.bn3.bias", "backbone.layer4.2.bn3.running_mean", "backbone.layer4.2.bn3.running_var", "rpn_head.cls_weight", "rpn_head.loc_weight".
Unexpected key(s) in state_dict: "backbone.layer0.0.weight", "backbone.layer0.1.weight", "backbone.layer0.1.bias", "backbone.layer0.1.running_mean", "backbone.layer0.1.running_var", "backbone.layer5.0.conv.0.weight", "backbone.layer5.0.conv.1.weight", "backbone.layer5.0.conv.1.bias", "backbone.layer5.0.conv.1.running_mean", "backbone.layer5.0.conv.1.running_var", "backbone.layer5.0.conv.3.weight", "backbone.layer5.0.conv.4.weight", "backbone.layer5.0.conv.4.bias", "backbone.layer5.0.conv.4.running_mean", "backbone.layer5.0.conv.4.running_var", "backbone.layer5.0.conv.6.weight", "backbone.layer5.0.conv.7.weight", "backbone.layer5.0.conv.7.bias", "backbone.layer5.0.conv.7.running_mean", "backbone.layer5.0.conv.7.running_var", "backbone.layer5.1.conv.0.weight", "backbone.layer5.1.conv.1.weight", "backbone.layer5.1.conv.1.bias", "backbone.layer5.1.conv.1.running_mean", "backbone.layer5.1.conv.1.running_var", "backbone.layer5.1.conv.3.weight", "backbone.layer5.1.conv.4.weight", "backbone.layer5.1.conv.4.bias", "backbone.layer5.1.conv.4.running_mean", "backbone.layer5.1.conv.4.running_var", "backbone.layer5.1.conv.6.weight", "backbone.layer5.1.conv.7.weight", "backbone.layer5.1.conv.7.bias", "backbone.layer5.1.conv.7.running_mean", "backbone.layer5.1.conv.7.running_var", "backbone.layer5.2.conv.0.weight", "backbone.layer5.2.conv.1.weight", "backbone.layer5.2.conv.1.bias", "backbone.layer5.2.conv.1.running_mean", "backbone.layer5.2.conv.1.running_var", "backbone.layer5.2.conv.3.weight", "backbone.layer5.2.conv.4.weight", "backbone.layer5.2.conv.4.bias", "backbone.layer5.2.conv.4.running_mean", "backbone.layer5.2.conv.4.running_var", "backbone.layer5.2.conv.6.weight", "backbone.layer5.2.conv.7.weight", "backbone.layer5.2.conv.7.bias", "backbone.layer5.2.conv.7.running_mean", "backbone.layer5.2.conv.7.running_var", "backbone.layer6.0.conv.0.weight", "backbone.layer6.0.conv.1.weight", "backbone.layer6.0.conv.1.bias", "backbone.layer6.0.conv.1.running_mean", "backbone.layer6.0.conv.1.running_var", "backbone.layer6.0.conv.3.weight", "backbone.layer6.0.conv.4.weight", "backbone.layer6.0.conv.4.bias", "backbone.layer6.0.conv.4.running_mean", "backbone.layer6.0.conv.4.running_var", "backbone.layer6.0.conv.6.weight", "backbone.layer6.0.conv.7.weight", "backbone.layer6.0.conv.7.bias", "backbone.layer6.0.conv.7.running_mean", "backbone.layer6.0.conv.7.running_var", "backbone.layer6.1.conv.0.weight", "backbone.layer6.1.conv.1.weight", "backbone.layer6.1.conv.1.bias", "backbone.layer6.1.conv.1.running_mean", "backbone.layer6.1.conv.1.running_var", "backbone.layer6.1.conv.3.weight", "backbone.layer6.1.conv.4.weight", "backbone.layer6.1.conv.4.bias", "backbone.layer6.1.conv.4.running_mean", "backbone.layer6.1.conv.4.running_var", "backbone.layer6.1.conv.6.weight", "backbone.layer6.1.conv.7.weight", "backbone.layer6.1.conv.7.bias", "backbone.layer6.1.conv.7.running_mean", "backbone.layer6.1.conv.7.running_var", "backbone.layer6.2.conv.0.weight", "backbone.layer6.2.conv.1.weight", "backbone.layer6.2.conv.1.bias", "backbone.layer6.2.conv.1.running_mean", "backbone.layer6.2.conv.1.running_var", "backbone.layer6.2.conv.3.weight", "backbone.layer6.2.conv.4.weight", "backbone.layer6.2.conv.4.bias", "backbone.layer6.2.conv.4.running_mean", "backbone.layer6.2.conv.4.running_var", "backbone.layer6.2.conv.6.weight", "backbone.layer6.2.conv.7.weight", "backbone.layer6.2.conv.7.bias", "backbone.layer6.2.conv.7.running_mean", "backbone.layer6.2.conv.7.running_var", "backbone.layer7.0.conv.0.weight", "backbone.layer7.0.conv.1.weight", "backbone.layer7.0.conv.1.bias", "backbone.layer7.0.conv.1.running_mean", "backbone.layer7.0.conv.1.running_var", "backbone.layer7.0.conv.3.weight", "backbone.layer7.0.conv.4.weight", "backbone.layer7.0.conv.4.bias", "backbone.layer7.0.conv.4.running_mean", "backbone.layer7.0.conv.4.running_var", "backbone.layer7.0.conv.6.weight", "backbone.layer7.0.conv.7.weight", "backbone.layer7.0.conv.7.bias", "backbone.layer7.0.conv.7.running_mean", "backbone.layer7.0.conv.7.running_var", "backbone.layer1.0.conv.0.weight", "backbone.layer1.0.conv.1.weight", "backbone.layer1.0.conv.1.bias", "backbone.layer1.0.conv.1.running_mean", "backbone.layer1.0.conv.1.running_var", "backbone.layer1.0.conv.3.weight", "backbone.layer1.0.conv.4.weight", "backbone.layer1.0.conv.4.bias", "backbone.layer1.0.conv.4.running_mean", "backbone.layer1.0.conv.4.running_var", "backbone.layer1.0.conv.6.weight", "backbone.layer1.0.conv.7.weight", "backbone.layer1.0.conv.7.bias", "backbone.layer1.0.conv.7.running_mean", "backbone.layer1.0.conv.7.running_var", "backbone.layer2.0.conv.0.weight", "backbone.layer2.0.conv.1.weight", "backbone.layer2.0.conv.1.bias", "backbone.layer2.0.conv.1.running_mean", "backbone.layer2.0.conv.1.running_var", "backbone.layer2.0.conv.3.weight", "backbone.layer2.0.conv.4.weight", "backbone.layer2.0.conv.4.bias", "backbone.layer2.0.conv.4.running_mean", "backbone.layer2.0.conv.4.running_var", "backbone.layer2.0.conv.6.weight", "backbone.layer2.0.conv.7.weight", "backbone.layer2.0.conv.7.bias", "backbone.layer2.0.conv.7.running_mean", "backbone.layer2.0.conv.7.running_var", "backbone.layer2.1.conv.0.weight", "backbone.layer2.1.conv.1.weight", "backbone.layer2.1.conv.1.bias", "backbone.layer2.1.conv.1.running_mean", "backbone.layer2.1.conv.1.running_var", "backbone.layer2.1.conv.3.weight", "backbone.layer2.1.conv.4.weight", "backbone.layer2.1.conv.4.bias", "backbone.layer2.1.conv.4.running_mean", "backbone.layer2.1.conv.4.running_var", "backbone.layer2.1.conv.6.weight", "backbone.layer2.1.conv.7.weight", "backbone.layer2.1.conv.7.bias", "backbone.layer2.1.conv.7.running_mean", "backbone.layer2.1.conv.7.running_var", "backbone.layer3.0.conv.0.weight", "backbone.layer3.0.conv.1.weight", "backbone.layer3.0.conv.1.bias", "backbone.layer3.0.conv.1.running_mean", "backbone.layer3.0.conv.1.running_var", "backbone.layer3.0.conv.3.weight", "backbone.layer3.0.conv.4.weight", "backbone.layer3.0.conv.4.bias", "backbone.layer3.0.conv.4.running_mean", "backbone.layer3.0.conv.4.running_var", "backbone.layer3.0.conv.6.weight", "backbone.layer3.0.conv.7.weight", "backbone.layer3.0.conv.7.bias", "backbone.layer3.0.conv.7.running_mean", "backbone.layer3.0.conv.7.running_var", "backbone.layer3.1.conv.0.weight", "backbone.layer3.1.conv.1.weight", "backbone.layer3.1.conv.1.bias", "backbone.layer3.1.conv.1.running_mean", "backbone.layer3.1.conv.1.running_var", "backbone.layer3.1.conv.3.weight", "backbone.layer3.1.conv.4.weight", "backbone.layer3.1.conv.4.bias", "backbone.layer3.1.conv.4.running_mean", "backbone.layer3.1.conv.4.running_var", "backbone.layer3.1.conv.6.weight", "backbone.layer3.1.conv.7.weight", "backbone.layer3.1.conv.7.bias", "backbone.layer3.1.conv.7.running_mean", "backbone.layer3.1.conv.7.running_var", "backbone.layer3.2.conv.0.weight", "backbone.layer3.2.conv.1.weight", "backbone.layer3.2.conv.1.bias", "backbone.layer3.2.conv.1.running_mean", "backbone.layer3.2.conv.1.running_var", "backbone.layer3.2.conv.3.weight", "backbone.layer3.2.conv.4.weight", "backbone.layer3.2.conv.4.bias", "backbone.layer3.2.conv.4.running_mean", "backbone.layer3.2.conv.4.running_var", "backbone.layer3.2.conv.6.weight", "backbone.layer3.2.conv.7.weight", "backbone.layer3.2.conv.7.bias", "backbone.layer3.2.conv.7.running_mean", "backbone.layer3.2.conv.7.running_var", "backbone.layer4.3.conv.0.weight", "backbone.layer4.3.conv.1.weight", "backbone.layer4.3.conv.1.bias", "backbone.layer4.3.conv.1.running_mean", "backbone.layer4.3.conv.1.running_var", "backbone.layer4.3.conv.3.weight", "backbone.layer4.3.conv.4.weight", "backbone.layer4.3.conv.4.bias", "backbone.layer4.3.conv.4.running_mean", "backbone.layer4.3.conv.4.running_var", "backbone.layer4.3.conv.6.weight", "backbone.layer4.3.conv.7.weight", "backbone.layer4.3.conv.7.bias", "backbone.layer4.3.conv.7.running_mean", "backbone.layer4.3.conv.7.running_var", "backbone.layer4.0.conv.0.weight", "backbone.layer4.0.conv.1.weight", "backbone.layer4.0.conv.1.bias", "backbone.layer4.0.conv.1.running_mean", "backbone.layer4.0.conv.1.running_var", "backbone.layer4.0.conv.3.weight", "backbone.layer4.0.conv.4.weight", "backbone.layer4.0.conv.4.bias", "backbone.layer4.0.conv.4.running_mean", "backbone.layer4.0.conv.4.running_var", "backbone.layer4.0.conv.6.weight", "backbone.layer4.0.conv.7.weight", "backbone.layer4.0.conv.7.bias", "backbone.layer4.0.conv.7.running_mean", "backbone.layer4.0.conv.7.running_var", "backbone.layer4.1.conv.0.weight", "backbone.layer4.1.conv.1.weight", "backbone.layer4.1.conv.1.bias", "backbone.layer4.1.conv.1.running_mean", "backbone.layer4.1.conv.1.running_var", "backbone.layer4.1.conv.3.weight", "backbone.layer4.1.conv.4.weight", "backbone.layer4.1.conv.4.bias", "backbone.layer4.1.conv.4.running_mean", "backbone.layer4.1.conv.4.running_var", "backbone.layer4.1.conv.6.weight", "backbone.layer4.1.conv.7.weight", "backbone.layer4.1.conv.7.bias", "backbone.layer4.1.conv.7.running_mean", "backbone.layer4.1.conv.7.running_var", "backbone.layer4.2.conv.0.weight", "backbone.layer4.2.conv.1.weight", "backbone.layer4.2.conv.1.bias", "backbone.layer4.2.conv.1.running_mean", "backbone.layer4.2.conv.1.running_var", "backbone.layer4.2.conv.3.weight", "backbone.layer4.2.conv.4.weight", "backbone.layer4.2.conv.4.bias", "backbone.layer4.2.conv.4.running_mean", "backbone.layer4.2.conv.4.running_var", "backbone.layer4.2.conv.6.weight", "backbone.layer4.2.conv.7.weight", "backbone.layer4.2.conv.7.bias", "backbone.layer4.2.conv.7.running_mean", "backbone.layer4.2.conv.7.running_var".
size mismatch for neck.downsample2.downsample.0.weight: copying a param with shape torch.Size([256, 44, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 512, 1, 1]).
size mismatch for neck.downsample3.downsample.0.weight: copying a param with shape torch.Size([256, 134, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 1024, 1, 1]).
size mismatch for neck.downsample4.downsample.0.weight: copying a param with shape torch.Size([256, 448, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 2048, 1, 1]).

from pysot.

how to fix
Traceback (most recent call last):
File "./tools/eval_self.py", line 205, in
main()
File "./tools/eval_self.py", line 107, in main
model.load_state_dict(state_dict)
File "/home/tahaluf/.virtualenvs/CITYA/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1483, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Sim2Sem:
Missing key(s) in state_dict: "feature_module.layer2.0.shortcut.0.weight", "feature_module.layer2.0.shortcut.1.weight", "feature_module.layer2.0.shortcut.1.bias", "feature_module.layer2.0.shortcut.1.running_mean", "feature_module.layer2.0.shortcut.1.running_var", "feature_module.layer3.0.shortcut.0.weight", "feature_module.layer3.0.shortcut.1.weight", "feature_module.layer3.0.shortcut.1.bias", "feature_module.layer3.0.shortcut.1.running_mean", "feature_module.layer3.0.shortcut.1.running_var", "feature_module.layer4.0.shortcut.0.weight", "feature_module.layer4.0.shortcut.1.weight", "feature_module.layer4.0.shortcut.1.bias", "feature_module.layer4.0.shortcut.1.running_mean", "feature_module.layer4.0.shortcut.1.running_var".
Unexpected key(s) in state_dict: "feature_module.layer1.2.conv1.weight", "feature_module.layer1.2.bn1.weight", "feature_module.layer1.2.bn1.bias", "feature_module.layer1.2.bn1.running_mean", "feature_module.layer1.2.bn1.running_var", "feature_module.layer1.2.bn1.num_batches_tracked", "feature_module.layer1.2.conv2.weight", "feature_module.layer1.2.bn2.weight", "feature_module.layer1.2.bn2.bias", "feature_module.layer1.2.bn2.running_mean", "feature_module.layer1.2.bn2.running_var", "feature_module.layer1.2.bn2.num_batches_tracked", "feature_module.layer2.2.conv1.weight", "feature_module.layer2.2.bn1.weight", "feature_module.layer2.2.bn1.bias", "feature_module.layer2.2.bn1.running_mean", "feature_module.layer2.2.bn1.running_var", "feature_module.layer2.2.bn1.num_batches_tracked", "feature_module.layer2.2.conv2.weight", "feature_module.layer2.2.bn2.weight", "feature_module.layer2.2.bn2.bias", "feature_module.layer2.2.bn2.running_mean", "feature_module.layer2.2.bn2.running_var", "feature_module.layer2.2.bn2.num_batches_tracked", "feature_module.layer2.3.conv1.weight", "feature_module.layer2.3.bn1.weight", "feature_module.layer2.3.bn1.bias", "feature_module.layer2.3.bn1.running_mean", "feature_module.layer2.3.bn1.running_var", "feature_module.layer2.3.bn1.num_batches_tracked", "feature_module.layer2.3.conv2.weight", "feature_module.layer2.3.bn2.weight", "feature_module.layer2.3.bn2.bias", "feature_module.layer2.3.bn2.running_mean", "feature_module.layer2.3.bn2.running_var", "feature_module.layer2.3.bn2.num_batches_tracked", "feature_module.layer2.0.downsample.0.weight", "feature_module.layer2.0.downsample.1.weight", "feature_module.layer2.0.downsample.1.bias", "feature_module.layer2.0.downsample.1.running_mean", "feature_module.layer2.0.downsample.1.running_var", "feature_module.layer2.0.downsample.1.num_batches_tracked", "feature_module.layer3.2.conv1.weight", "feature_module.layer3.2.bn1.weight", "feature_module.layer3.2.bn1.bias", "feature_module.layer3.2.bn1.running_mean", "feature_module.layer3.2.bn1.running_var", "feature_module.layer3.2.bn1.num_batches_tracked", "feature_module.layer3.2.conv2.weight", "feature_module.layer3.2.bn2.weight", "feature_module.layer3.2.bn2.bias", "feature_module.layer3.2.bn2.running_mean", "feature_module.layer3.2.bn2.running_var", "feature_module.layer3.2.bn2.num_batches_tracked", "feature_module.layer3.3.conv1.weight", "feature_module.layer3.3.bn1.weight", "feature_module.layer3.3.bn1.bias", "feature_module.layer3.3.bn1.running_mean", "feature_module.layer3.3.bn1.running_var", "feature_module.layer3.3.bn1.num_batches_tracked", "feature_module.layer3.3.conv2.weight", "feature_module.layer3.3.bn2.weight", "feature_module.layer3.3.bn2.bias", "feature_module.layer3.3.bn2.running_mean", "feature_module.layer3.3.bn2.running_var", "feature_module.layer3.3.bn2.num_batches_tracked", "feature_module.layer3.4.conv1.weight", "feature_module.layer3.4.bn1.weight", "feature_module.layer3.4.bn1.bias", "feature_module.layer3.4.bn1.running_mean", "feature_module.layer3.4.bn1.running_var", "feature_module.layer3.4.bn1.num_batches_tracked", "feature_module.layer3.4.conv2.weight", "feature_module.layer3.4.bn2.weight", "feature_module.layer3.4.bn2.bias", "feature_module.layer3.4.bn2.running_mean", "feature_module.layer3.4.bn2.running_var", "feature_module.layer3.4.bn2.num_batches_tracked", "feature_module.layer3.5.conv1.weight", "feature_module.layer3.5.bn1.weight", "feature_module.layer3.5.bn1.bias", "feature_module.layer3.5.bn1.running_mean", "feature_module.layer3.5.bn1.running_var", "feature_module.layer3.5.bn1.num_batches_tracked", "feature_module.layer3.5.conv2.weight", "feature_module.layer3.5.bn2.weight", "feature_module.layer3.5.bn2.bias", "feature_module.layer3.5.bn2.running_mean", "feature_module.layer3.5.bn2.running_var", "feature_module.layer3.5.bn2.num_batches_tracked", "feature_module.layer3.0.downsample.0.weight", "feature_module.layer3.0.downsample.1.weight", "feature_module.layer3.0.downsample.1.bias", "feature_module.layer3.0.downsample.1.running_mean", "feature_module.layer3.0.downsample.1.running_var", "feature_module.layer3.0.downsample.1.num_batches_tracked", "feature_module.layer4.2.conv1.weight", "feature_module.layer4.2.bn1.weight", "feature_module.layer4.2.bn1.bias", "feature_module.layer4.2.bn1.running_mean", "feature_module.layer4.2.bn1.running_var", "feature_module.layer4.2.bn1.num_batches_tracked", "feature_module.layer4.2.conv2.weight", "feature_module.layer4.2.bn2.weight", "feature_module.layer4.2.bn2.bias", "feature_module.layer4.2.bn2.running_mean", "feature_module.layer4.2.bn2.running_var", "feature_module.layer4.2.bn2.num_batches_tracked", "feature_module.layer4.0.downsample.0.weight", "feature_module.layer4.0.downsample.1.weight", "feature_module.layer4.0.downsample.1.bias", "feature_module.layer4.0.downsample.1.running_mean", "feature_module.layer4.0.downsample.1.running_var", "feature_module.layer4.0.downsample.1.num_batches_tracked".

from pysot.