-
Notifications
You must be signed in to change notification settings - Fork 14
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Inference with custom dataset?? #5
Comments
Can you please guide me how to run this? I downloaded model weights and then run the command "python3 train_generator.py --name test -b 4 -j 8 --gpu_ids 0,1 --fp16 --tocg_checkpoint ./checkpoints/test/tocg.pth --occlusion --fine_width 384 --fine_height 512 --num_upsampling_layers more --cond_G_ngf 48 --cond_G_input_width 384 --cond_G_input_height 512 --cond_G_num_layers 6". It's not working. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Thank you for your great work!
Does this source code support inferencing on custom data?
The text was updated successfully, but these errors were encountered: