JerryLeolfl
JerryLeolfl
We collected the dataset by shotting on screen straightly.
test截断是不需要b->a的cycle的，在模型定义里把这个变量注释掉就好了
https://github.com/JerryLeolfl/pytorch-MRGAN-master/blob/main/models/cycle_gan_model.py#L31 visual_names_A = ['real_A', 'fake_B', 'rec_A', 'syth_A'] visual_names_B = ['real_B', 'fake_A', 'rec_B'] 改成 visual_names_A = ['fake_B'] visual_names_B = []
https://github.com/GUOYI1/Vignetting_corrector/tree/master/Matlab
> > 您好， 我想请教一下关于test data那里，我们没有像训练数据reference匹配时的类别信息，不能按照类别去寻找reference，需要将每个图片与ImageNet中所有数据去对比 然后找最相近的数据嘛？ > > 您好，可以参考这个[repo](https://github.com/hmmlillian/Gray-Image-Retrieval)的实现先找到对应的类，然后再在类里面找最接近的图片。 好的，感谢回复，还需要请教您一下： 1 . 是去ImageNet的train data里检索嘛 2. 上面的repo有pytorch的实现版本嘛
> [Here](https://github.com/eriklindernoren/Keras-GAN/blob/44d3320e84ca00071de8a5c0fb4566d10486bb1d/cyclegan/cyclegan.py#L186), dB_loss_fake[1] contains the 'accuracy of prediction' for fake images. Did you change the code in base keras '_train_on_batch_' to get the accuracy of prediction? Or just give it...
I got this problem, too. It seems that INPUT was treated as the path, not the args after INPUT. For example, I typed **python3 evaluate.py INPUT ./data/1.png --model models/nr_tid_weighted.model --top...
> I uploaded the best model weights after 42000 epochs of training on TextZoom data: > `https://drive.google.com/file/d/1j-g17V5kBmqS8giWNZuHe2d_GefAepCs/view?usp=sharing` > > I hope, it is helpful. Hi, bro. Thanks for your model,...
> @yustiks please let us know about the performance of your trained model in comparison to the results mentioned in the paper. @avinabsaha > > Just wondering if you had...