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JDAI-CV
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fast-reid
SOTA Re-identification Methods and Toolbox
Apache License 2.0
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Please read & provide the following
#734
Z-cry
opened
2 days ago
0
No normalization in demo/visualize_result.py
#733
jsheo96
opened
5 days ago
0
fix: typo. import evaluation_rank from evaluation.rank
#732
jsheo96
opened
5 days ago
0
Is it possible to train it with a YOLO classification model ?
#731
Tanrion
opened
1 week ago
0
Update README.md
#730
SheldongChen
closed
3 weeks ago
0
where can i download this pretrain model (jx_vit_base_p16_224-80ecf9dd.pth) .I utilized this weight from Transreid but that is not compatible with fastreid inference and throws following errors
#729
Adil42s
opened
1 month ago
1
ONNX export mode is set to TrainingMode.EVAL, but operator 'instance_norm' is set to train=True
#727
edwardnguyen1705
closed
3 days ago
2
datasets weighting parameter
#726
chamecall
closed
1 week ago
2
How to use custom backbone architecture?
#725
chamecall
opened
2 months ago
3
fix typo
#724
DizzyZff
opened
2 months ago
0
编译fasttrt时报错,tensorrt版本8.2.1.8
#723
JianJingGao
closed
2 months ago
4
How to organize the dataset file (PA100k dataset) on the Person Attribute Recognition Project?
#722
adripriadana
closed
1 month ago
2
Training problem
#721
yonadance
closed
2 months ago
5
visualization problem
#720
OroChippw
closed
5 months ago
2
Console freezes/halts right before training begins.
#719
Cippppy
closed
6 months ago
1
DefaultPredictor does not normalize the output
#718
seermer
closed
6 months ago
2
vis_result and train_net accuracy result not match
#717
WenjinFu
closed
5 months ago
3
How to train without Pre-trained Backbones like resnest50?
#716
gyh420
closed
6 months ago
2
fast_reid如何不放训练权重?
#715
gyh420
closed
6 months ago
2
请问UDA中给出的一些经典算法的结果是基于Fast ReID框架复现得到的吗?
#714
mookixiao
closed
6 months ago
2
Resolving Errors
#713
naveenmittal04
opened
8 months ago
0
fasthuman??
#712
sssssshf
closed
6 months ago
2
Docker update
#711
ASaid7
closed
8 months ago
0
Model Inference Returning NaN Features
#710
ConnorMcGuirk
closed
9 months ago
1
Pretrained-fastreid for Partial ReID
#709
petercsjTW
closed
9 months ago
4
是否可以应用于多类别物体的重识别?
#708
FrankMMMMMM
closed
9 months ago
2
Model-Generalization
#707
smsver2
closed
10 months ago
2
训练sbs resnet101异常
#706
lexiqi
closed
10 months ago
2
Some model parameters or buffers are not found in the checkpoint:Please read & provide the following
#705
WZR8277
closed
10 months ago
3
assert len(optimizer_state["found_inf_per_device"]) > 0, "No inf checks were recorded for this optimizer."
#704
WZR8277
closed
10 months ago
5
issue encountered while running onnx_inference.py
#703
jbfhx
closed
11 months ago
2
infer attributes
#702
lly456
closed
11 months ago
2
源码相关
#701
liangx2
closed
11 months ago
2
No inf checks were recorded for this optimizer.
#700
tiamo405
closed
1 year ago
6
请问这是什么原因呢
#699
yu9s
closed
1 year ago
1
PartialReid 无法复现
#698
lovehuanhuan
closed
1 year ago
2
License of models in Model Zoo
#697
michal-kierzynka
closed
1 year ago
2
怎么解析获取输出的数据结构
#696
lmq5294249
closed
1 year ago
1
How to customize the dataset for training? What are the effects on different targets, such as cows or sheep?
#695
6022
closed
1 year ago
2
Missing Softmax for accuracy logging
#694
wobbba
closed
1 year ago
2
Export ONNX from Veri-Baseline model zoo not working
#693
Darksky24
closed
1 year ago
2
Update build.py
#692
lxc86739795
closed
1 year ago
0
adaface_loss
#691
yu9s
closed
1 year ago
2
meet a bug when doing fastDistill
#690
BaoWentz
closed
1 year ago
2
Skip loading parameter 'heads.weight' to the model due to incompatible shapes: (751, 2048) in the checkpoint but (0, 2048) in the model! You might want to double check if this is expected.
#689
nazmulnnb
closed
1 year ago
5
Please read & provide the following
#688
yu9s
closed
1 year ago
1
Support CUDA 11 and CUDA 10 with some Clean Up
#687
KleinYuan
opened
1 year ago
0
How to load the checkpoints to evaluate embeddings?
#686
DiegoFernandezC
closed
1 year ago
4
Fix docker build and Update documentation
#685
KleinYuan
closed
1 year ago
0
Mac上复现时报错。
#684
Shephermand
closed
1 year ago
2
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