Comments (3)
@anthonyyuan can you give some more details about the data that you used? E.g, you took a sub-sample of the original FFHQ (if so, how many images and what criteria did you use for your sample choice), etc.
If you used a custom data set, how did you obtain such data? Is there a large imbalance in your data (e.g, ratio of male to female/age/race)?
I ask because it might be a good indicator of how well the augmentation works dependent on the available data. I suspect that this works better if there is not such a high imbalance of the observed features (in this case, gender, age, race), but rather just a small data size.
I will also try it myself and inform of the observed results.
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I test this demo by your model and default var .I have not do train my data
from stylegan2-ada.
I meet the same problem!I just test this demo by your model and default var. Just by running the command below.
python generate.py --outdir=out --trunc=1 --seeds=5000-7000 --network=pretrained/ffhq.pkl
from stylegan2-ada.
Related Issues (20)
- Sorry, but I suspect your FID is fake HOT 8
- "W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. " & "tensorflow.python.framework.errors_impl.NotFoundError: /home/paperspace/stylegan2/dnnlib/tflib/_cudacache/fused_bias_act_afa4ff47e864043461655b92eafcdf5f.so: undefined symbol: _ZN10tensorflow12OpDefBuilder5InputESs" HOT 1
- Don't use pickle to share weights HOT 3
- (gen_img[:, 0, 0, 0] * 0 + loss_Gpl) ... but why? HOT 1
- NVCC error. Compilation of custom CUDA ops on Windows 10 for Tensorflow 2.x HOT 5
- Error: Unable to allocate 0 bytes for an array with shape HOT 2
- Continue training HOT 4
- nvcc fatal
- StyleGAN2 Pickle File not working
- transfer learning with custom dataset has dominant influence HOT 2
- ValueError: axes don't match array, images will work one run and not work the next
- NotImplementedError: Cannot convert a symbolic Tensor (Train_gpu0/Loss_R1/gradients/Train_gpu0/Augment_1/transform/ImageProjectiveTransformV2_grad/flat_transforms_to_matrices/strided_slice:0) to a numpy array.
- How to show real and fake loss in Colab?
- Model conversion to tf.keras.Model (external application)
- FFHQ download script broken HOT 5
- How to recover if training is interrupted
- Structure of a new training data set HOT 1
- Projection.py, Why the reconstruction of some images and not good wile for some images it is better
- Range for heuristic r_t and ADA issues
- I'm sorry, but I suspect your FID is fake
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