Comments (2)
They are used to control the size of anchors.
You can modify them according to the sizes of both your target objects and your anchors.
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Besides, using the default values will always be a good choice.
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Related Issues (18)
- OutOfRangeError: PaddingFIFOQueue '_2_get_batch/batch/padding_fifo_queue' is closed and has insufficient elements HOT 6
- 你好,看精度直接运行eval.py吗? HOT 5
- It seems stop when I train my data HOT 1
- test.py运行的图片是放在了哪里啊 HOT 1
- 为什么我训练时loss一直在上下波动并不收敛,结果也没有框出东西来,类别也是0,啥都检测不到
- 生成classes.txt出现问题 HOT 3
- 您好,请问fast-r-cnn的分类损失函数是否可以更换?我在换的过程中出现了.InvalidArgumentError: tags and values not the same shape: [] != [256] (tag 'RPN_LOSS/cls_loss')这个问题,请问您是否遇到过?
- 我的错误和 您提示得一样,可是按照修改提示修改之后还是会报错。
- 你使用的opencv是什么版本的啊? HOT 1
- 请问这个怎么调整batch_size
- do you have try this code on voc07+12? HOT 11
- TypeError: cond() got an unexpected keyword argument 'true_fn' HOT 2
- checkpoint_path error! HOT 1
- which datasets to use HOT 2
- Have you tried the VGg network? I have been trying to change the network, modify C2, C3, C4 and C5. There has been a mistake. Can you give me some advice? HOT 1
- Can I change the value of batch-size? HOT 4
- How to use the pre-trained model?
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