mangye16/Cross-Modal-Re-ID-baseline
Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)
PythonMIT
Issues
- 7
RegDB Dataset
#7 opened by ThomasKKL - 0
- 1
请问如何该看到可视化界面呢?
#29 opened by zhangzhang1524 - 0
Why is there an 81 here?
#25 opened by CottonCandyZ - 11
The score of test.py is wrong
#17 opened by lzw-wo - 2
- 13
Results cannot be reproduced?
#27 opened by cq0907 - 0
Results cannot be reproduced
#30 opened by bryanduran99 - 1
Don‘t converge on RegDB
#24 opened by Su-hya - 0
The score of train_ext.py is wrong
#23 opened by ssyou - 0
- 0
The grayscale transformation in ICCV21 CAJ
#21 opened by jiangmingbuaa - 2
An interesting phenomenon when testing on RegDB
#19 opened by Zoky-2020 - 1
- 0
This is about how to evalute model
#18 opened by tarv33 - 0
- 0
Errors for the DataLoader
#15 opened by hansonchen1996 - 2
FC or Pool feature?
#14 opened by Panpanpie - 1
Is there a CPU version of this weight
#12 opened by 1757525671 - 1
How do you implement it with pytorch?
#11 opened by maodoudabai - 3
- 2
What is your python version
#3 opened by liurongfang - 2
Why only id loss can be found in train.py?
#2 opened by xiezhy6 - 1
Is the code only using CrossEntropyLoss?
#6 opened by zhangqi2188 - 1
no checkpoint found at /home/../save_model/sysu_id_bn_relu_drop_0.0_lr_1.0e-02_dim_512_resnet50_epoch_60.t
#5 opened by zhangqi2188 - 1
- 1
No module named 'model_base'
#13 opened by hyzl-4869 - 4
The mode of shot
#8 opened by L-CODERS - 1
RegDB dataset link?
#1 opened by d-li14