-
想复现一下论文的结果,求告知下参数呢?
For reference, our modified baseline achieves 96.9% rank-1
and 82.0% mAP accuracy on Veri-776 benchmark
我自己跑了8个epoch,Acc就达到了0.97。但是验证的时候,mAP=56.7%,Rank-1=86.7%;而我在第4个epoch的时…
Lanme updated
2 years ago
-
郑博士,您好。 我在尝试基于您提供的Res50_imbalance_s1_256_p0.5_lr2_mt_d0_b48 (TMM) 这个模型进行stage_two 的训练,也就是基于 VeRi 的 fine_tune. 希望可以最终得到和您提供的 ft_Res50_imbalance_s1_256_p0.5_lr1_mt_d0.2_b48_w5 (TMM) 近似mAP的模型。
但是,训练过程…
-
Hi,
I attempted to train TransREID with your weights on the original config of Veri-776. Yet using the referred changes in paper, namely lr and batch size I only achieved:
mAP: 83.4%
CMC1: 96.7%…
-
您好,我是reID刚入门的学生,在运行您的代码时发现VeRi-Wild数据集似乎与VeRi-776数据集有点差别,似乎将VeRi-Wild做了处理,图片进行了重新命名,请问,是否可以提供一下脚本文件,谢谢,已start完毕
-
Hi, I saw that your project "is only supported on VeRi-776 dataset currently." But in your paper, you've test mAP on CityFlow dataset. What should I do in order to reproduce on CityFlow dataset?
Than…
-
Hi,
Thank you for your released code! I have some questions when testing with the released veri_871.pth.
1. When tested without post-processing technique, I got mAP=78.7%;
2. I can get the repor…
-
eval_metrics.py line 74
if numg_g < max_rank:
TypeError: '
-
Thank you for your work. According to your suggestion, I trained after Convert polygons to parsing masks without modifying any code. This is my training log but IOU is not as high as in the paper.
(p…
-
I still do not understand why we need 751 classes for just extractor feature of persons?
```
~/Desktop/deep_sort_pytorch/deep_sort/deep$ python train.py --resume
Loading from checkpoint/ckpt.t…
-
I use SOLAR for vehicle re-identification/pedestrian re-identification. but generate custom dataset is wrong.
After the network converges, the negative sample l2 distance is close to 0 in create_ep…