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MILVLG / bottom-up-attention.pytorch

A PyTorch reimplementation of bottom-up-attention models
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test-caffe-r101-fix36.yaml #99

Open 184446223 opened 1 year ago

184446223 commented 1 year ago

I use the test-caffe-r101-fix36.yaml,but the model generates 16 or 26 bboxes ,not fix 36 ,why?

184446223 commented 1 year ago

: Some model parameters or buffers are not found in the checkpoint: backbone.res4.0.conv1.norm.num_batches_tracked backbone.res4.0.conv2.norm.num_batches_tracked backbone.res4.0.conv3.norm.num_batches_tracked backbone.res4.0.shortcut.norm.num_batches_tracked backbone.res4.1.conv1.norm.num_batches_tracked backbone.res4.1.conv2.norm.num_batches_tracked backbone.res4.1.conv3.norm.num_batches_tracked backbone.res4.10.conv1.norm.num_batches_tracked backbone.res4.10.conv2.norm.num_batches_tracked backbone.res4.10.conv3.norm.num_batches_tracked backbone.res4.11.conv1.norm.num_batches_tracked backbone.res4.11.conv2.norm.num_batches_tracked backbone.res4.11.conv3.norm.num_batches_tracked backbone.res4.12.conv1.norm.num_batches_tracked backbone.res4.12.conv2.norm.num_batches_tracked backbone.res4.12.conv3.norm.num_batches_tracked backbone.res4.13.conv1.norm.num_batches_tracked backbone.res4.13.conv2.norm.num_batches_tracked backbone.res4.13.conv3.norm.num_batches_tracked backbone.res4.14.conv1.norm.num_batches_tracked backbone.res4.14.conv2.norm.num_batches_tracked backbone.res4.14.conv3.norm.num_batches_tracked backbone.res4.15.conv1.norm.num_batches_tracked backbone.res4.15.conv2.norm.num_batches_tracked backbone.res4.15.conv3.norm.num_batches_tracked backbone.res4.16.conv1.norm.num_batches_tracked backbone.res4.16.conv2.norm.num_batches_tracked backbone.res4.16.conv3.norm.num_batches_tracked backbone.res4.17.conv1.norm.num_batches_tracked backbone.res4.17.conv2.norm.num_batches_tracked backbone.res4.17.conv3.norm.num_batches_tracked backbone.res4.18.conv1.norm.num_batches_tracked backbone.res4.18.conv2.norm.num_batches_tracked backbone.res4.18.conv3.norm.num_batches_tracked backbone.res4.19.conv1.norm.num_batches_tracked backbone.res4.19.conv2.norm.num_batches_tracked backbone.res4.19.conv3.norm.num_batches_tracked backbone.res4.2.conv1.norm.num_batches_tracked backbone.res4.2.conv2.norm.num_batches_tracked backbone.res4.2.conv3.norm.num_batches_tracked backbone.res4.20.conv1.norm.num_batches_tracked backbone.res4.20.conv2.norm.num_batches_tracked backbone.res4.20.conv3.norm.num_batches_tracked backbone.res4.21.conv1.norm.num_batches_tracked backbone.res4.21.conv2.norm.num_batches_tracked backbone.res4.21.conv3.norm.num_batches_tracked backbone.res4.22.conv1.norm.num_batches_tracked backbone.res4.22.conv2.norm.num_batches_tracked backbone.res4.22.conv3.norm.num_batches_tracked backbone.res4.3.conv1.norm.num_batches_tracked backbone.res4.3.conv2.norm.num_batches_tracked backbone.res4.3.conv3.norm.num_batches_tracked backbone.res4.4.conv1.norm.num_batches_tracked backbone.res4.4.conv2.norm.num_batches_tracked backbone.res4.4.conv3.norm.num_batches_tracked backbone.res4.5.conv1.norm.num_batches_tracked backbone.res4.5.conv2.norm.num_batches_tracked backbone.res4.5.conv3.norm.num_batches_tracked backbone.res4.6.conv1.norm.num_batches_tracked backbone.res4.6.conv2.norm.num_batches_tracked backbone.res4.6.conv3.norm.num_batches_tracked backbone.res4.7.conv1.norm.num_batches_tracked backbone.res4.7.conv2.norm.num_batches_tracked backbone.res4.7.conv3.norm.num_batches_tracked backbone.res4.8.conv1.norm.num_batches_tracked backbone.res4.8.conv2.norm.num_batches_tracked backbone.res4.8.conv3.norm.num_batches_tracked backbone.res4.9.conv1.norm.num_batches_tracked backbone.res4.9.conv2.norm.num_batches_tracked backbone.res4.9.conv3.norm.num_batches_tracked roi_heads.res5.0.conv1.norm.num_batches_tracked roi_heads.res5.0.conv2.norm.num_batches_tracked roi_heads.res5.0.conv3.norm.num_batches_tracked roi_heads.res5.0.shortcut.norm.num_batches_tracked roi_heads.res5.1.conv1.norm.num_batches_tracked roi_heads.res5.1.conv2.norm.num_batches_tracked roi_heads.res5.1.conv3.norm.num_batches_tracked roi_heads.res5.2.conv1.norm.num_batches_tracked roi_heads.res5.2.conv2.norm.num_batches_tracked roi_heads.res5.2.conv3.norm.num_batches_tracked

Zhaihanlei commented 1 year ago

Hello, I met this problem too, have you solved it?": Some model parameters or buffers are not found in the checkpoint:"

184446223 commented 1 year ago

No, I checked the code and never found out why, as long as the author knows, so I am ready to use the original bottom-up-attention, which works very well.

Zhaihanlei commented 1 year ago

Could you help me to solve this problem , When i run the bottom-up-attention generate_tsv.py "I1211 16:22:33.013763 706 layer_factory.hpp:77] Creating layer input-data TypeError: No registered converter was able to extract a C++ pointer to type char from this Python object of type str Process Process-1: Traceback (most recent call last): File "/root/miniconda3/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap self.run() File "/root/miniconda3/lib/python3.7/multiprocessing/process.py", line 99, in run self._target(*self._args, **self._kwargs) File "generate_tsv.py", line 155, in generate_tsv net = caffe.Net(prototxt, caffe.TRAIN, weights=weights) SystemError: <Boost.Python.function object at 0x55eed47bbf90> returned NULL without setting an error"

Zhaihanlei commented 1 year ago

Can you give me a contact information if it is convenient? Of course, if not, thank you very much. QQ or WeChat?

184446223 commented 1 year ago

V:17320069772

---Original--- From: @.> Date: Sun, Dec 11, 2022 16:34 PM To: @.>; Cc: @.**@.>; Subject: Re: [MILVLG/bottom-up-attention.pytorch] test-caffe-r101-fix36.yaml (Issue #99)

Can you give me a contact information if it is convenient? Of course, if not, thank you very much. QQ or WeChat?

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