CSRNet-pytorch

CSRNet-pytorch copied to clipboard

add evaluate.py according to val.ipynb. then make some changes on gpu/cpu switch, mat file reading and ground truth extracting.

alvenchen

how does VGG16 concat with the net that your owner defined ?

4

I am confused in the code, how does the VGG16 concat with the net that your owner defined?

linqiaozhou

I don't understand the matlab's code ,For example, GAME_recursive(density, gt,currentLevel, targetLevel) what's the means of the currentLevel and targetLevel

Joyies

Testing on UCF_CC_50 data

1

Thanks previous work! Testing on the challenging UCF_CC_50 data is also important for counting method. Could you provide the code of training and testing for UCF_CC_50? or for WorldExpo’10 dataset.

WangyiNTU

Hi~ When I read the code, I didn't find two ways(Fig.4) you mentioned in 3.1.1. And In the paper, the final output size is the same as the input, but...

yoqim

Hi, thanks very much for your works. Can you release the pretrained model without fine-tuning on dataset? Because, I want to fine-tuning on other dataset. Thanks very much again. @leeyeehoo

LaiPiXiong

Bug in val code

6

While executing the val code, one gets an unexpected output for crowd count(something random). The probable cause is incorrect normalization values that are substracted. Using the same normalization as while...

aditya-malte

training error

1

When I train the model, the loss is nan Epoch: [0][1170/1200] Time 0.709 (0.417) Data 0.020 (0.017) Loss nan (nan)

liuleiBUAA

Model:Predictions.

4

How to predict estimated count from the trained model in Val.ipynb. Where is the output of the predicted estimated count? @leeyeehoo

Tikam02

Thanks for releasing the code.The code help me a lot. I have 2 questions: 1、in image.py, to resize the density map of ground truth to the 1/64 of the original...

imrainkeeper