Making Art with GANs : Training Pix2PixHD

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Class Recording https://www.youtube.com/watch?v=tSbYOHKue_E 

Notebook : https://colab.research.google.com/github/dvschultz/ai/blob/master/NFP_Pix2PixHD.ipynb



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Epoch : Files will be save when the model reach the amount of epochs requested

Continue training

!python train_video.py \ --name water \ --dataroot ./datasets/water/ \ --save_epoch_freq 5 \ --niter 150 \ --niter_decay 150 \ --continue_train


niter = number of iterations


Output video should under Checkpoints



Final Product


--------
Inference

 Notebook https://github.com/dvschultz/ai/blob/master/NFP_Pix2PixHD.ipynb

If running out of space under checkpoint folder

Delete _D (Discriminator)

****START FROM CELL



!python generate_video.py \
--name water \
--dataroot ./datasets/water/ \
--fps 24 \
--how_many 300 \
--which_epoch latest \
--no_crop

--DIFFERENT START TIME

Switch the epoch to generate a video from a different start time.




!python generate_video.py \
--name water \
--dataroot ./datasets/water/ \
--fps 24 \
--how_many 300 \
--which_epoch 15 \
--no_crop


CHANGE IMAGE ON GENERATE

To change the image used in the generator, it can be added on Colab .

***The image added need to be the same size as the video

!python generate_video.py \ --name water \ --dataroot ./datasets/water/ \ --fps 24 \ --how_many 200 \ --which_epoch 110 \ --no_crop \ --start_from /content/NAMEOFIMAGE \ --start_frames_before 0


 VIDEO


FOR ZOOM EFFECT

!python generate_video.py \ --name water \ --dataroot ./datasets/water/ \ --fps 24 \ --how_many 200 --which_epoch 110 --zoom_lvl 20 --no_crop


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