Comments (4)
Hello,
I don't really get what you mean. Can you please elaborate? You want description of the datasets, or descruption of datasets preprocessing? Or how to download the data?
from pose-gan.
I'm sorry!
In your paper:Appearance and Pose-Conditioned Human Image Generation using Deformable GANs
You mentioned the Real-Data evaluation indicators in Table 1,However you did not describe how Real-Data is calculated and what it mean, so I am very confused
from pose-gan.
Yes so Real data is just Inception score and detection scores computed in the test part of our dataset, e. g. Real data. So this serves as an upper bound to the scores that you can possibly acchive. For ssim it is 1, because it is the maximum, basically it is ssim(gt, gt), where gt is a ground truth.
from pose-gan.
I got it, thank you
from pose-gan.
Related Issues (20)
- Generation of heatmap HOT 1
- problems when test checkpoint files HOT 2
- ValueError: Dimension 0 in both shapes must be equal, but are 3 and 64. Shapes are [3,3,18,64] and [64,21,3,3]. for 'Assign_2' (op: 'Assign') with input shapes: [3,3,18,64], [64,21,3,3]. HOT 5
- Error while executing create_pairs_dataset.py HOT 5
- Error while executing "create_pairs_dataset.py" file HOT 1
- Create fasion annotation and pairing fasion data HOT 8
- Parameters to enhance the training speed HOT 5
- error while training HOT 2
- About pretrained model HOT 2
- question about compute_coordinates.py
- Downloading testing checkpoints HOT 1
- demo.py ValueError HOT 1
- Inference time HOT 3
- IOError: Unable to open file (unable to open file: name = 'pose_estimator.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0) HOT 3
- when I try to run compute_coordinates.py, it shows the wrong result HOT 1
- how can I get these pose-stick mask pictures? HOT 3
- How to deal with missing joint? HOT 2
- Keypoint detect problem HOT 1
- Error in Compute_coordinates.py
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from pose-gan.