Lei Liu

@WangyiNTU I change the model.py in class CSRNet(nn.Module): def init(self, load_weights=False): to class CSRNet(nn.Module): def init(self, load_weights=True): The model can convergence, however, I cannot get the MAE of 68 in...

@WangyiNTU Thank you. Can I see your model.py for part of class CSRnet? and how many epoch have you train the model?

If I set load_weights=False, the loss is very high and will be nan

Hi, I have deleted the pretrained model, you can use CSRnet frist ------------------ 原始邮件 ------------------ 发件人: "Nguyễn Thành Nhân"

when I train the model with train.py ,after first ite, the loss is nan,do you have the same problem@libaikai@vlad3996 Epoch: [0][1170/1200] Time 0.709 (0.417) Data 0.020 (0.017) Loss nan (nan)

I change the model.py in class CSRNet(nn.Module): def __init__(self, load_weights=False): to class CSRNet(nn.Module): def __init__(self, load_weights=True): The model can convergence, however, I cannot get the MAE of 68 in partA...

@vlad3996 Thank you, I try to train the model from the begining. and have you meet the problem? 'CSRNet' object has no attribute 'seen' I have to comment #seen=model.seen and...

@vlad3996, which dataset have you used to get better result on partB? Do you mean do not use dilated conv in last layer?

@leeyeehoo when I train the model with train.py the loss is nan Epoch: [0][1170/1200] Time 0.709 (0.417) Data 0.020 (0.017) Loss nan (nan) here is the loss in terminal, I...

Hi, I am looking for a job now, after this I will update my github 发自我的iPhone ------------------ Original ------------------ From: SherlockHua1995 Date: Fri,May 10,2019 11:02 AM To: liuleiBUAA/DENet Cc: Subscribed...