针对你遇到的AssertionError: kernel size must be 3 or 7问题,我将按照提供的提示逐一进行解答: 1. 确认错误来源 这个错误通常出现在使用某些特定的深度学习框架或库时,尤其是在进行卷积操作(Convolutional Operations)时。错误信息表明,卷积核(kernel)的大小必须为3或7。你需要检查触发这个错误的代码行。 例如,如果...
qkv_conv = Conv2D(c*3, kernel_size=3, padding='same', groups=c*3, use_bias=False) project_out = Conv2D(filters=c, kernel_size=1, use_bias=False) temperature = tf.Variable([[[1.]]for_inrange(self.num_heads)]], shape=[None, self.num_heads, 1, 1], trainable=True)#--- ...
Hi i solve with before you build datasets, you must run this: import mmdet mmdet.datasets.coco.CocoDataset.CLASSES=('class_1','class2') you can adjust it with the dataset you have :) The solution provided here may be a more elegant one, as it only requires modifications in the configu...
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