Rotate images from single flickr gallery11/27/2022 ![]() ![]()
At the top right you’ll see a clickable link labeled “Slideshow.” When you click that, it will open in slideshow mode. Go to the page in your Flickr account where you’ve grouped your set – here’s mine for the ornament pictures. ![]() Here’s how I did the Christmas ornament one featured here…. You can do this in a number of ways….in a blog post (the way you see it below in this post,) in a wiki page like this one for Jelly Coworking in Round Rock, Texas, or anywhere else that allows you to embed HTML code, which are the letters and numbers that are seen as text or graphics on a website. #Rotate images from single flickr gallery downloadstatus_delay SEC time between download status prints (default: 0.If you have an account on the Flickr photo-sharing site – like the Pacific Aviation Museum in Honolulu, Hawaii or South African Tourism – it’s easy to make one of your sets of pictures into a little rotating gallery. ![]() num_threads NUM number of concurrent download threads (default: 32) a, -align recreate 1024x1024 images from in-the-wild images r, -tfrecords download multi-resolution TFRecords (273 GB) w, -wilds download in-the-wild images as PNG (955 GB) t, -thumbs download 128x128 thumbnails as PNG (1.95 GB) i, -images download 1024x1024 images as PNG (89.1 GB) s, -stats print statistics about the dataset j, -json download metadata as JSON (254 MB) h, -help show this help message and exit Usage: download_ffhq.py ĭownload Flickr-Face-HQ (FFHQ) dataset to current working directory. The script makes things considerably easier by automatically downloading all the requested files, verifying their checksums, retrying each file several times on error, and employing multiple concurrent connections to maximize bandwidth. You can either grab the data directly from Google Drive or use the provided download script. However, please note that the in-the-wild folder may contain multiple copies of the same image in cases where we extracted several different faces from the same image. We have explicitly made sure that there are no duplicate images in the dataset itself. In the StyleGAN paper, however, we used all 70,000 images for training. #Rotate images from single flickr gallery zipMulti-resolution data for StyleGAN and StyleGAN2Ĭontents of each folder as a ZIP archive.įor use cases that require separate training and validation sets, we have appointed the first 60,000 images to be used for training and the remaining 10,000 for validation. Metadata including copyright info, URLs, etc. You can use, redistribute, and adapt it for non-commercial purposes, as long as you (a) give appropriate credit by citing our paper, (b) indicate any changes that you've made, and (c) distribute any derivative works under the same license. #Rotate images from single flickr gallery licenseThe dataset itself (including JSON metadata, download script, and documentation) is made available under Creative Commons BY-NC-SA 4.0 license by NVIDIA Corporation. The license and original author of each image are indicated in the metadata. However, some of them require giving appropriate credit to the original author, as well as indicating any changes that were made to the images. #Rotate images from single flickr gallery freeAll of these licenses allow free use, redistribution, and adaptation for non-commercial purposes. The individual images were published in Flickr by their respective authors under either Creative Commons BY 2.0, Creative Commons BY-NC 2.0, Public Domain Mark 1.0, Public Domain CC0 1.0, or U.S. For business inquiries, please visit our website and submit the form: NVIDIA Research Licensing Licenses Please note that this dataset is not intended for, and should not be used for, development or improvement of facial recognition technologies. Various automatic filters were used to prune the set, and finally Amazon Mechanical Turk was used to remove the occasional statues, paintings, or photos of photos. Only images under permissive licenses were collected. The images were crawled from Flickr, thus inheriting all the biases of that website, and automatically aligned and cropped using dlib. It also has good coverage of accessories such as eyeglasses, sunglasses, hats, etc. The dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity and image background. Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) #Rotate images from single flickr gallery generatorFlickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN):Ī Style-Based Generator Architecture for Generative Adversarial Networks ![]()
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