pavitrakumar78 / anime-face-gan-keras Goto Github PK
View Code? Open in Web Editor NEWA DCGAN to generate anime faces using custom mined dataset
A DCGAN to generate anime faces using custom mined dataset
Hey Pavitra,
Really loved your implementation of Anime Face GAN. I just had one minor doubt. I am new in the field of ML. So I was wondering that since the dataset consists of around 1000 images, our output generated in the jupyter notebook codes shows only 16 images (maybe just a glimpse of some images). But how can I generate/recreate the rest of the images? Like do I need to upload the image with a new python code in a fresh jupyter notebook and then again train my model on that single image? I would really appreciate it if you can help me out with this.
Hello, i have this issue where i download the folder, but in the folder there's no .exe file to install the application. Could you help me find the .exe file?
Hi @pavitrakumar78,
I wanted to get in touch to see if you could possibly assist with an issue I am having. I am using your GAN_training.py to see if it can be applied to a different image set. The dimensions of the image are 3232x208. The images themselves are of video game level. As such I tried to change your code in the GAN_training.py so that it could use the game levels images as inputs. I also wish to output the generated images from the GAN as single images and not as 4x4 images as your code does.
Please see screenshots attached that indicate areas where I have changed your code.
Screenshot 1 - I have changed the figsize and gridspec size to 1x1
screenshot2 - changed the image shape to 3232x208, the shape of the images i am trying to use as
well as batch size and number of steps.
screenshot3 - changed the image_shape in the GAN_Nets.py file for get_disc_normal function
screenshot4 - error message i receive when running the GAN_training.py
I would really appreciate your help, or any guidance you can give me as to how to resolve the issue shown in screenshot 4. Please let me know if you need anymore information.
Thanks.
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