Chen Ma

There are only two classes in my dataset. i find in the data_utils.py file. the code assert len(s) > 8, 'Annotation error! Please check your annotation file. Make sure there...

i run train.py It works for some steps,but the same error occured again. I still can't fully understand the whole program. Forgive me for being a beginner

I try to use lower learningrate and batch size, its still not work.

> > > > hey bro i have solved the train issue. and get the pb file. > > test_single_image.py use ckpt file to detect. > > i want to...

> 评估指标的测试代码（LSNRG,BSF,SCR,CR）以及目标检测代码（tophat,ILCM,IPI的公开源码）已经上传 [Link](https://github.com/XinyiYing/MoCoPnet/tree/main/code/supp) 您好,在您提供的评估代码中,输入需要目标中心坐标,这个在提供的test数据中没有给出

> [SAITD](https://www.scidb.cn/en/detail?dataSetId=808025946870251520&dataSetType=journal)，[Hui](https://www.scidb.cn/en/detail?dataSetId=720626420933459968&dataSetType=journal)， [Anti-UAV](https://anti-uav.github.io/dataset/) 数据集否提供了目标的真值位置。具体参考各个数据集的详细标注。 谢谢,在复现过程中还有一些问题麻烦您,SNR和CR也是基于区域邻域计算的,这两个指标在代码里我没有找到,是需要对整个测试集进行计算吗? 此外对于检测的实验部分,评价指标的计算原文是只选择了两张图片吗?

> 论文中关于小目标增强的评测都是基于区域邻域计算的，包括SNR gain (SNRG)和contrast gain (CG)，具体公式见论文公式6和公式9。 关于测试集的具体说明在论文的IV-A-1) Datasets， In this paper, we employ the 1st−50th sequences with target annotations of SAITD as the test datasets and the remaining 300 sequences...

The problem may be in the PC component; the 4th element of the PC is all zero, but I don't know why.

> @MC1016 thanks for reporting. Can you share minimalist code to reproduce the issue? Yes can u try this thanks from image_similarity_measures.quality_metrics import fsim def mfsim(y, out): gts = y...

data structure [batch,channel,x,y]