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I have a tf 2.10 3DConv ANN with multiple regression outputs (model architecture at the end). I am attempting to use this package to generate gradcam++ heatmaps and I am getting the following error:
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您好！我自己安装了官方的yolox并做了不少的修改，程序结果也都跑完了。
现在想加grad-cam热力图，那么我需要重新安装您这个并按照我之前的再修改一次重跑吗？
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作者好@QY1994-0919：
我基于你的代码快速在 YOLOv5 中试了下，在 MSCOCO val 数据集上性能为 38.6，没有加之前是 37.6，正好涨 1 个点。
我是基于 MMYOLO 进行实验，配置和代码见个人分支： https://github.com/hhaAndroid/mmyolo/tree/bifpn_demo (请忽略分支名，瞎写的)
具体做法是：
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Here's my log:
Tried
CUDA_VISIBLE_DEVICES=0 python decode.py --config_file fairseq.ini
and
python decode.py --config_file fairseq.ini
.
Both got the same results.
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021-01…
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I encountered the following error:
Traceback (most recent call last): …
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你好，在Code/4_viewer/6_hook_for_grad_cam.py中，第103行，出现了一个output，而函数中没有定义output，所以想请问一下这个output的含义，感谢
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看到过类似的研究，能否提供一些思路？
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The grad cam has been very useful for most models, but I'm at loss on how to use it for the pytorch implementation of the Swin Transformer v2.
source code: https://github.com/pytorch/vision/blob/m…
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Hi, thank you for your impressive work, when I tried to make a inference, there was an wired error showing as follows:
`Traceback (most recent call last):
File "/mnt/fast_nas/xiyingjie/code/tram/s…
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visualize_cam output array shape is not the same of input array shape. It gives me (224,3,3) as an output for (224,224,3) input shape. Any help ? Thanks in advanced.