Comments (3)
@kracwarlock
No. The inception score (10.62±0.19) is calculated from the Pytorch model of stackgan-v1
from stackgan-pytorch.
I was unable to get that from the available pre-trained model in the repo. Can you share the evaluation code for the pytorch model?
How many images did you calculate this over and what were the splits?
from stackgan-pytorch.
@kracwarlock @hanzhanggit @taoxugit Please tell me the path details.
I put my coco train images into data/coco folder so the complete path is "H://StackGAN-Pytorch/data/coco"
and put the preprocessed char-CNN-RNN text embeddings training coco, and saved it to data/coco/train and test folders.... complete path is H://StackGAN-Pytorch/data/coco/train" and H://StackGAN-Pytorch/data/coco/test"
As well as put the preprocessed char-CNN-RNN text embeddings evaluating coco, and save it to data folder complete path is H://StackGAN-Pytorch/data/coco/test"
now tell me these paths are ok or not? and where I put the coco val images? Are any other things are needed?
Strongly waiting for your's response....
thank you very much
from stackgan-pytorch.
Related Issues (20)
- How to create images for new text? HOT 5
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- Inconsistent with the paper (Stage-II inputs) HOT 1
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from stackgan-pytorch.