Comments (4)
I was trying to test the model after training. But the testing output pictures seem to be extremely high in one color channel, sometimes blue some times green. The training output is okay though. Any idea or suggestions ?
from pose-guided-person-image-generation.
I was trying to test the model after training. But the testing output pictures seem to be extremely high in one color channel, sometimes blue some times green. The training output is okay though. Any idea or suggestions ?
I think trying another initialization may be of help, like Xavier initialization. The intuition to this may be that, without good initialization, the gradient on a single channel will be very large.
By the way, do you have any trained model? I'm very grateful if you can share yours with me.
from pose-guided-person-image-generation.
I was trying to test the model after training. But the testing output pictures seem to be extremely high in one color channel, sometimes blue some times green. The training output is okay though. Any idea or suggestions ?
I think trying another initialization may be of help, like Xavier initialization. The intuition to this may be that, without good initialization, the gradient on a single channel will be very large.
By the way, do you have any trained model? I'm very grateful if you can share yours with me.
Sorry man, I am using the downloaded model.
from pose-guided-person-image-generation.
I hit a hardware setup that doesn't work. I'm using an Ubuntu VM with 2GB of RAM on a Windows 10 laptop. Looks like I'm going to have to shove this into AWS ¯\(ツ)/¯
Edit: setting RAM=4GB broke my machine, but RAM~=3GB seems to have gotten past the original memory error and gave me another seemingly unrelated error.
from pose-guided-person-image-generation.
Related Issues (20)
- Pytorch implementation of "Pose Guided Person Image Generation" HOT 1
- The target pose generation HOT 4
- Parameters issues
- Question of some codes in trainer.py HOT 4
- which ckpt file to use for testing? HOT 1
- About data preparation HOT 1
- use of pretrained models HOT 1
- How to freeze the tensorflow graph to convert it into tensorflow lite model
- Convert coordinates to heatmaps HOT 2
- Training data in tf-record format can't be downloaded HOT 2
- OutOfRangeError with run_DF_train.sh HOT 2
- How to generate the pose map and pose mask of my own dataset? HOT 1
- 403 on the download page HOT 6
- supplementary material HOT 1
- ./run_convert_market.sh,TypeError: write() argument must be str, not bytes HOT 7
- what is bounding_box_test_clean of market dataset? HOT 2
- dataset downloading forbidden HOT 1
- Meeting problems on downloading HOT 1
- Links are Broken HOT 1
- Links are broken to the resources of both datasets HOT 1
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