cvlab-stonybrook DM-Count issues

cvlab-stonybrook / DM-Count

Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.

MIT License

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issues

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Demo URL

#36 oracle0101 opened 11 months ago
0
hyperparameters

#35 bsabri opened 1 year ago
0
多卡训练

#34 1171000410 opened 1 year ago
0
Questions about the prediction effect of different objects

#33 yishun-Liu opened 1 year ago
0
I'm trying to test your model on a picture and getting too small number

#32 ofersa opened 1 year ago
0
shanghaitech_b evaluation

#31 adrian-dalessandro opened 2 years ago
0
Add docker env and web demo

#30 vccheng2001 opened 2 years ago
0
About the ot_loss why optimizing the dual term's derivate instead of the OT distance ?

#29 Lynyanyu opened 2 years ago
1
About the min_size, max_size in the preprocess

#28 zhou-rui1 opened 2 years ago
1
A bug occurred while running train.py

#27 yysube opened 2 years ago
1
Use of dm-count on less dense smaller images

#26 samymdihi opened 3 years ago
3
How to reduce the big experiment randomness?

#25 jingliang95 opened 3 years ago
3
Telling you preprocess of Shanghai Tech Part A and Part B

#24 12z34x opened 3 years ago
0
Confusing Definition of the OT Loss

#23 Yiming-M closed 2 years ago
0
Dataloader for UCF-CC-50

#22 jingliang95 opened 3 years ago
4
excellent work

#21 purse1996 opened 3 years ago
3
Regarding hyperparameters for training on UCF-QNRF dataset

#20 svshivapuja closed 3 years ago
2
That's correct. \labmda_1 is for OT loss, \labmda_2 is for TV loss.

#19 hdasd closed 3 years ago
1
some questions about training

#18 hdasd closed 3 years ago
2
Is OT loss only applicable while training is implemented on square images

#17 Xinxinatg closed 3 years ago
3
The OT loss is too small.Dose it work?

#16 hhk123 closed 3 years ago
1
Why not use more advanced backbone

#15 hhk123 closed 3 years ago
3
fast create discrete map

#14 Zhaoyi-Yan closed 3 years ago
1
it seems 'adding -1' is more accurate for flipping

#13 Zhaoyi-Yan closed 3 years ago
2
about density map

#12 KrystalCWT closed 3 years ago
1
delete useless st_size and softmax

#11 Zhaoyi-Yan closed 3 years ago
0
Influence of data preprocessing on model performance

#10 Fang-Lansheng closed 3 years ago
4
Created a Web Demo using Gradio

#9 aliabd closed 3 years ago
2
I had an error loading your pre-training model

#7 liang-jingyi closed 4 years ago
3
Getting arguments by file and some refactoring

#6 selmanozleyen closed 3 years ago
0
About density map

#5 simaiden closed 4 years ago
2
about demo

#4 wjourney closed 4 years ago
1
model.eval() when testing

#3 enric1994 closed 4 years ago
1
train with Shanghai Tech Part A and Part B dataset

#2 18150167970 closed 4 years ago
10
When will the training code release?

#1 dk-liang closed 4 years ago
2