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LBH1024
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition (ECCV’2022 Poster).
想知道设置mask的作用具体是什么？ 并且网络对图像的size也没有进行限制，宽高和label长度都是取自每次批处理的最大值，想知道这样做的用意是什么？ 但是对于通道数是设置了684
您好，请教几个问题： 有没有开源的训练好的模型？ 数据增强部分好像没有找到？ 配置文件config.yaml对应的是论文表1指标中的哪个模型？ 希望能尽量多开源一些，学习并复现一下！谢谢！
Greetings, I have reproduced according to your code and parameter with almost no adjustment. And my results on three CROHME test set is 10% lower than your paper results. Would...
Hi@LBH1024, it seems that the code about data augmentation is missing, which is essential to get better performance, can you share this code? Thanks!
Hi@LBH1024, can you tell me the requirements~(such as the python and pytorch version) to run the code. Thanks!
Hi@LBH1024, Can you provide the vocab file used for HME100K dataset? Besides, how do you split the dataset since there is no validation set? Thanks.
当我执行**python train.py --dataset CROHME**的时候，train.py执行到第72行代码的时候开始报错，但是这个错误很奇怪，我不是很明白，不知道你们有遇到过吗？ 
