vojirt / JSRNet

Pytorch implementation of our ICCV 2021 paper "Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling"
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pre-trained model of the anomaly detection network #4

Closed catchyoo closed 1 year ago

catchyoo commented 1 year ago

Hello!

May i get the pre-trained model of the anomaly detection network? (checkpoint-best.pth)

please give to my e-mail.

wantyouji17@gmail.com

Thank you!!

vojirt commented 1 year ago

Hi, I have sent the email with the link. Cheers.

farhadi76m commented 1 year ago

Hello, I tried to run your test code but I didn't have another checkpoint; so , may you send me to my email? farhadi76m@gmail.com thank you .

vojirt commented 1 year ago

You need only two checkpoints, one for segmentation part (link available from the github page) and the other that I have send you link for.

farhadi76m commented 1 year ago

I'm a master's student and my thesis is about "image anomaly detection on roads", in my research I'm trying to run all available codes in anomaly segmentation. I'm interested in your work, so that's all. I'd like to research and maybe one day write a paper in this field. so I guess, I tell you anything about my goal. thank you

On Thu, Apr 6, 2023 at 1:54 PM Tomas Vojir @.***> wrote:

You need only two checkpoints, one for segmentation part (link available from the github page) and the other that I have send you link for.

— Reply to this email directly, view it on GitHub https://github.com/vojirt/JSRNet/issues/4#issuecomment-1498841513, or unsubscribe https://github.com/notifications/unsubscribe-auth/ALNNK4B3PPH5BAQQKEMYWK3W72KV3ANCNFSM6AAAAAAWMZ7UPQ . You are receiving this because you commented.Message ID: @.***>

chrisyan commented 1 year ago

Hello, may I get the pre-trained model of the anomaly detection network? My email is zhiran.yan@outlook.com

vojirt commented 1 year ago

Hi, I recommend looking at a newer version on https://github.com/vojirt/DaCUP it performs better and pretrained models are available for download from the github page.

farhadi76m commented 1 year ago

oh, I'll read it as soon, I'm highly interested to develops your work !!! could I ask some questions later ?