Em qui, 11 de abr de 2019 às 02:55, <xwm...@pku.edu.cn> escreveu: > > We made some modifications on the original ESPCN model, such as change the > input image from one channel(Y) to three channels(RGB) and remove the > up-sampling procedure. The model file has been uploaded in > https://github.com/XueweiMeng/derain_filter and you can download the > training/testing dataset from > http://www.icst.pku.edu.cn/struct/Projects/joint_rain_removal.html. I didn't > save the PSNR/SSIM score during the training and evaluating process. So the > data will be uploaded later. >
Indeed the model is not the espcn anymore, as it would imply the use of the up-sampling layer. I think it is better to label this network as a generic convolutional network and just describe its layout (number of layers and layer dimension). Using the espcn name is misleading. Please, always include your training results and relevant observations when sending a patch otherwise it is hard to evaluate your work if we did not even know what to expect from the output. _______________________________________________ ffmpeg-devel mailing list ffmpeg-devel@ffmpeg.org https://ffmpeg.org/mailman/listinfo/ffmpeg-devel To unsubscribe, visit link above, or email ffmpeg-devel-requ...@ffmpeg.org with subject "unsubscribe".
