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balgot
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stylegan3-annotated

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face-generation

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balgot commited on May 4, 2023

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@@ -17,16 +17,18 @@ This dataset consists of a `pandas` table and attached `images.zip` file with th
 * seed (`numpy` seed used to generate random vectors)
 * path (path to the generated image obtained after unzipping `images.zip`)
-* vector (generated "random" vector used to create StyleGAN3 images)
 * text (caption of each image, generated using BLIP model: `Salesforce/blip-image-captioning-base`)
-## Usage (WIP)
-To use the dataset, download images and the csv file, convert the ... TODO
 ```python
 images = load_dataset("balgot/stylegan3-annotated", data_files=["*.zip"])
 dataset = load_dataset("balgot/stylegan3-annotated", data_files=["*.csv"])
 ```

 * seed (`numpy` seed used to generate random vectors)
 * path (path to the generated image obtained after unzipping `images.zip`)
+* vector (generated numpy "random" vector used to create StyleGAN3 images)
 * text (caption of each image, generated using BLIP model: `Salesforce/blip-image-captioning-base`)
+## Usage
+In order not to load the images into the memory, we will load the images separately.
 ```python
 images = load_dataset("balgot/stylegan3-annotated", data_files=["*.zip"])
 dataset = load_dataset("balgot/stylegan3-annotated", data_files=["*.csv"])
+# TODO: convert "vector" column to numpy/torch
 ```