Comments (4)
Can someone please point out where to map these folders?
flowers_images_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/'
flowers_embedding_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/flowers_icml/'
flowers_text_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/cvpr2016_flowers/text_c10/'
flowers_dataset_path: '/scratch/aelnouby/text2image/flowers.hdf5'
flowers_val_split_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/flowers_icml/valclasses.txt'
flowers_train_split_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/flowers_icml/trainclasses.txt'
flowers_test_split_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/flowers_icml/testclasses.txt'
I have downloaded the cvpr2016_flowers dataset and have found the text_c10 folder, it also consisted of valClasses.txt trainclasses.txt and testclasses.txt
I am not too sure where to point these two particular paths:
flowers_images_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/'
flowers_embedding_path: '/export/mlrg/aelnouby/projects/GANs/flowers_dataset/flowers_icml/'
from text-to-image-synthesis.
I think two source repositories are important. Get the cvpr2016 stuff from https://github.com/reedscot/cvpr2016 and icml2016 stuff from reedscot/icml2016.
To answer your question:
flowers_images_path
should point to downloaded images from http://www.robots.ox.ac.uk/~vgg/data/flowers/102/.flowers_embedding_path
just needs to point to the flowers_icml folder downloaded from here. This is linked in the reedscot/icml2016 repo.
Side note : it seems the default parameters for *_split_path
variables links to flowers_icml/*.txt
.
Lastly, if you use the provided .hd5 file in the Datasets section, you don't need any of the other files. You only need all the data if you want to convert the data into hd5 file yourself. If you're not able to use the provided hd5 file for version incompatibility issues, try to add this requirements.txt file and install the appropriate versions with pip install -r requirements
.
from text-to-image-synthesis.
If we are using hd5 file, then how will we use that?Kindly guide me plz.
I think two source repositories are important. Get the cvpr2016 stuff from https://github.com/reedscot/cvpr2016 and icml2016 stuff from reedscot/icml2016.
To answer your question:
flowers_images_path
should point to downloaded images from http://www.robots.ox.ac.uk/~vgg/data/flowers/102/.flowers_embedding_path
just needs to point to the flowers_icml folder downloaded from here. This is linked in the reedscot/icml2016 repo.Side note : it seems the default parameters for
*_split_path
variables links toflowers_icml/*.txt
.Lastly, if you use the provided .hd5 file in the Datasets section, you don't need any of the other files. You only need all the data if you want to convert the data into hd5 file yourself. If you're not able to use the provided hd5 file for version incompatibility issues, try to add this requirements.txt file and install the appropriate versions with
pip install -r requirements
.
from text-to-image-synthesis.
Lastly, if you use the provided .hd5 file in the Datasets section, you don't need any of the other files. You only need all the data if you want to convert the data into hd5 file yourself. If you're not able to use the provided hd5 file for version incompatibility issues, try to add this requirements.txt file and install the appropriate versions with pip install -r requirements.
Lmk if this helps!
from text-to-image-synthesis.
Related Issues (20)
- Release models for Flowers, Birds and COCO datasets HOT 8
- Loss function
- torch model
- cannot identify image file <_io.BytesIO object at 0x7f2d80b2e770> HOT 5
- inception scores? HOT 1
- Can you run this without nvidia? HOT 1
- Duplicate embeddings in convert_cub_to_hd5_script.py HOT 1
- How long do I need to train? HOT 1
- What is the file of text embeddings? HOT 2
- text embeddings preparation HOT 1
- batch image generation HOT 1
- A question about text and image encoding HOT 1
- How to add embedding path?
- How to pass the text as input to the generator model and generate images? HOT 1
- Can't Use flowers.hdf5 HOT 1
- Error on visualize.py HOT 1
- trainer.py RuntimeError: size mismatch (got input: [2], target: [64]) HOT 2
- TypeError: a bytes-like object is required, not 'str' in "Text2ImageDataset.py"
- Cannot download HDF5 file HOT 1
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