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请问怎样只用来直接测试图像,不输入文本。代码里是如下:
for x in self.annotation: if 'COCO_val2014_' + str(x['image_id']).zfill(12) + '.jpg' == _filename: caption = x['caption'] break
如果没有caption将如何工作,谢谢
The text was updated successfully, but these errors were encountered:
train.py 649行的generate2_adpt_if这个函数
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请问怎样只用来直接测试图像,不输入文本。代码里是如下: for x in self.annotation: if 'COCO_val2014_' + str(x['image_id']).zfill(12) + '.jpg' == _filename: caption = x['caption'] break 如果没有caption将如何工作,谢谢
这里是用来看validation dataset的loss哈。因为cider跟loss没有直接对应关系,loss小不一定cider高。
感谢,我再看一下,我想用图片来测试一下模型,不知道从哪里搞了。
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请问怎样只用来直接测试图像,不输入文本。代码里是如下:
如果没有caption将如何工作,谢谢
The text was updated successfully, but these errors were encountered: