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请问在制作数据集的时候,如果是比较正面的图像,不是从侧面拍摄的图片,利用labelImg标注得到车牌的四个点的坐标,只有四个值xmin,ymin,xmax,ymax,这样得到四个点坐标(xmin,ymin)(xmax,ymin) (xmax,ymax) (xmin,yamx),这样与CCPD数据集的四点坐标值不太一样,这样在训练的时候是否有影响呢?
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我发现现有的几个标注工具没法直接标注你们的label格式,请问下是用的什么工具呢?还是每个小段单独识别然后将结果合并?
L-lei updated
3 years ago
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# Description
There is a cross refrence issue in secition 3.6 Simple Balanced Parentheses. Error message [cross-reference to target(s) "lst-parcheck1" missing or not unique]. This appears in th…
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torch-0.4.1
imutils-0.5.1
cuda9.2
opencv 3.4.4: cv2.cp36-win_amd64.pyd
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PS E:\sourcecode\CCPD\rpn…
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Traceback (most recent call last):
File "rpnet.py", line 405, in
model_conv = train_model(model_conv, criterion, optimizer_conv, num_epochs=epochs)
File "rpnet.py", line 365, in train_mode…
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i tried to train my model on my plate data.
"loss: 0.0000, train_accuracy: 0.1875, time: 0.28 s/iter, learning rate: 0.0001"
loss so small, but train_accuracy always
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ModuleNotFoundError: No module named 'torch._thnn'
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说好的publicly available呢???
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I use the code 'wR2.py' and the dataset you provided to train a detection model with 25 epochs.
Because I can not find the code to evaluate the precision of detection model,so I write it by myself.
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