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I downloaded your pretrained model. And when i tried to load it.
It gave me the following errors.
_IncompatibleKeys(missing_keys=['mask_token', 'decoder_pos_embed', 'stage1_output_decode.weight', …
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再跑run_video_demo.sh时遇到的报错，全部报错如下：
Load checkpoint /home/data/MixFormer/models/mixformer_convmae_base_online.pth.tar successfully!
Traceback (most recent call last):
File "tracking/video_demo.py",…
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执行命令 python /tracking/test.py mixformer_convmae baseline_large --dataset lasot --threads 32 --num_gpus 4 --params__model mixformer_convmae_large_online.pth.tar --params__search_area_scale 4.5 不出现Track…
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Hello, I have seen that you reference to the ConvMAE pertained based method as MixViT-COnvMAE, but actually, looking at your implementation the backbone is much more similar to the MixCvT layout, with…
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我在convmae论文的github地址找到了convmae_base.pth文件，但是训练的时候提示所有的权重都丢失了，我去模型里面找到原因，是因为多了一层ckpe[‘model’]，改项并未在代码中给出，我项问一下是不是convMae的官方修改了之前的权重文件，还是代码忘记改了。同时，在我修改了相关代码后，仍有missingkey:'pos_embed_s', 'pos_embed_t'.我想…
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**Describe the feature**
Feature description
**Motivation**
A clear and concise description of the motivation of the feature. Ex1. It is inconvenient when [....]. Ex2. There is a recent paper [..…
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Hello! I would like to train stage 2 only, where can I find the pertained model for stage 1? Apparently on the drive there are online models only for convmae.
Thank you!
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Hi ,
we using MixViT-ConvMAE online model testing lasot performance .
But found different with paper (AUC: 73.3%)
lasot | AUC | OP50 | OP75 | Prec…
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I have tried training the convmae detector (as provided in this repository) with 2 GPUs with each 32GB (V-100). It looks like I can carry out training with only batch size = 2. Going beyond batch-size…