ethanfel

same issue while the created model, work fine if i use it to add mosaic. (on Linux). It always stop at 2 image to the end with Work for video....

i've been able to make the database myself. You put the masks in the A folder, and the source image in the B folder. It work. To use my mosaic...

i've just tested on Windows with the same environnement as my Linux and, i've got the exact same error as you.

> > i've just tested on Windows with the same environnement as my Linux and, i've got the exact same error as you. > > On ubuntu, the video cleaning...

reduce the number of thread, set gpu_id to 0 if you have only one GPU. My VM only have 16GB of ram and with 6thread it's saturated and it didn't...

> python train.py --dataset ../../datasets/video/face --savename face --n_blocks 4 --lambda_GAN 0.01 --loadsize 286 --finesize 256 --batchsize 16 --n_layers_D 2 --num_D 3 --n_epoch 200 --gpu_id 0 --load_thread 1 > and nothing...

> @ethanfel > A good job! > I haven't used the code that generates dataset for a long time and it may have some bugs. I look at your code...

> > > python train.py --dataset ../../datasets/video/face --savename face --n_blocks 4 --lambda_GAN 0.01 --loadsize 286 --finesize 256 --batchsize 16 --n_layers_D 2 --num_D 3 --n_epoch 200 --gpu_id 0 --load_thread 1 >...

> > @ginpigin I will fix my code and show how to determine some parameters. > > And whenever you see "freeze_support()" error, it mean you have to make sure...

You have to tune the batch_size to fit your VRAM and the load-thread to fit your RAM. A smaller batch_size will have a negative impact on the efficiency thought.