Open CoisiniStar opened 9 months ago
Hello, I ran through your project, but since I failed to open the relevant pictures in RGB format, I cleaned the data set entries corresponding to the unopened pictures (Twitter), but the F1 value in the experimental data only remained around 50, may I ask if you have cleaned the data set? Looking forward to your reply, thank you
你好,想问下imageGraph.py这个文件里的: image_t = transform(image).to(device) image_t = image_t.unsqueeze(0) # add a batch dimension image_t = image_t[:,:3, :, :] 这里的transform是定义的函数还是类?为什么没有其具体代码,运行会报错,您运行的时候报错了吗?
Please use the same hyperparameters mentioned in the paper, it required a lot of tuning to get the best performance.
Thank you very much for your help, I have achieved some research based on your work and will follow up by sending that work to you privately, thank you again for your help.
Hello, I ran through your project, but since I failed to open the relevant pictures in RGB format, I cleaned the data set entries corresponding to the unopened pictures (Twitter), but the F1 value in the experimental data only remained around 50, may I ask if you have cleaned the data set? Looking forward to your reply, thank you
你好,想问下imageGraph.py这个文件里的: image_t = transform(image).to(device) image_t = image_t.unsqueeze(0) # add a batch dimension image_t = image_t[:,:3, :, :] 这里的transform是定义的函数还是类?为什么没有其具体代码,运行会报错,您运行的时候报错了吗?
你好,源代码确实是有问题的,直接将transform改为transforms即可,因为作者做了别名:import torchvision.transforms as transforms。希望对您有帮助!
Thank you very much for your help, I have achieved some research based on your work and will follow up by sending that work to you privately, thank you again for your help.
您好,我如何对从 https://github.com/yaqingwang/EANN-KDD18 下载的微博数据集进一步处理,使程序能够成功运行imageGraphs.py或textGraphs.py?
Hello, I ran through your project, but since I failed to open the relevant pictures in RGB format, I cleaned the data set entries corresponding to the unopened pictures (Twitter), but the F1 value in the experimental data only remained around 50, may I ask if you have cleaned the data set? Looking forward to your reply, thank you