ssd.pytorch
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line 83, in __call__\n label_idx = self.class_to_ind[name]\nKeyError:
when i use my dataset, i have the problem
KeyError: 'Traceback (most recent call last):\n File "C:\Program Files\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 138, in _worker_loop\n samples = collate_fn([dataset[i] for i in batch_indices])\n File "C:\Program Files\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 138, in
feng is the lable name
you can use VOC_CLASSES = [( 'feng')] instead
I have the same question,do you solve it? and how?
您可以改用VOC_CLASSES = [( 'feng')] it doesnt work
您可以改用VOC_CLASSES = [( 'feng')] it doesnt work
您好!我遇到了同样的问题,您解决了吗?可以探讨一下!
没有()发自我的华为手机-------- 原始邮件 --------发件人: zeroorhero [email protected]日期: 2020年2月7日周五 早上8:49收件人: "amdegroot/ssd.pytorch" [email protected]抄送: sxyxf66 [email protected], Author [email protected]主 题: Re: [amdegroot/ssd.pytorch] line 83, in call\n label_idx = self.class_to_ind[name]\nKeyError: (#343)
您可以改用VOC_CLASSES = [(
'feng')]
it doesnt work
您好!我遇到了同样的问题,您解决了吗?可以探讨一下!
—You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or unsubscribe.
没有()发自我的华为手机-------- 原始邮件 --------发件人: zeroorhero [email protected]日期: 2020年2月7日周五 早上8:49收件人: "amdegroot/ssd.pytorch" [email protected]抄送: sxyxf66 [email protected], Author [email protected]主 题: Re: [amdegroot/ssd.pytorch] line 83, in call\n label_idx = self.class_to_ind[name]\nKeyError: (#343) 您可以改用VOC_CLASSES = [( 'feng')] it doesnt work 您好!我遇到了同样的问题,您解决了吗?可以探讨一下! —You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or unsubscribe.
作者您好,遇到了一样的问题,请问你们解决了吗之前
Hello, i'm facing the same issue and i dont know how to do i tried many things =(
Hello, anyone solved this issue? LeiGan's comment didn't work for me.
Hello, anyone solved this issue? LeiGan's comment didn't work for me.
Hello, you may try this when you define your classes : YOUR_CLASSES = [('Label_1') , ('Label_2') , ('Label_3') ]
Hello, you also must also upgrade coco_classes.py like voc_classes.py