- HOW TO CHANGE A PHOTO SIZE FOR THE KNOT MAC HOW TO
- HOW TO CHANGE A PHOTO SIZE FOR THE KNOT MAC DOWNLOAD
csv loads the urls and optional caption as a csv.txt loads the urls as a text file of url, one per line.
HOW TO CHANGE A PHOTO SIZE FOR THE KNOT MAC HOW TO
input_format decides how to load the urls (default txt). tfrecord saves as tfrecord containing pictures as bytes. parquet saves as parquet containing pictures as bytes. webdataset saves as tars containing pictures. files saves as a set of subfolder containing pictures. output_format decides how to save pictures (default files). skip_reencode whether to skip reencoding if no resizing is done (default False). encode_format encode format (default jpg). encode_quality encode quality from 0 to 100, when using png it is the compression factor from 0 to 9 (default 95). downscale_interpolation kind of downscale interpolation used for resizing (default "area"). upscale_interpolation kind of upscale interpolation used for resizing (default "lanczos"). resize_only_if_bigger resize pictures only if bigger that the image_size (default False). center_crop will keep the ratio and center crop the largest side so the picture is squared. keep_ratio will keep the ratio and make the smallest side of the picture image_size. border will make the image image_size x image_size and add a border. resize_mode The way to resize pictures, can be no, border or keep_ratio (default border). 
This is important to be high for performance.
thread_count The number of threads used for downloading the pictures. 
processes_count The number of processes used for downloading the pictures.output_folder The path to the output folder.image_size The size to resize image to (default 256).url_list A file with the list of url of images to download.
HOW TO CHANGE A PHOTO SIZE FOR THE KNOT MAC DOWNLOAD
This module exposes a single function download which takes the same arguments as the command line tool: ) Python examplesĬheckout these examples to call this as a lib: json files will also be saved with the same name suffixed by _stats, they contain stats collected during downloading (download time, number of success. It can be used to analyze the results efficiently. parquet file will be saved with the same name as the subfolder/tar files containing these same metadata.
status : whether the download succeededĪlso a. key of the form 000010005 : the first 5 digits are the shard id, the last 4 are the index in the shard. This can then easily be fed into machine learning training or any other use case.Īlso. If captions are provided, they will be saved as 0.txt, 1.txt. The subfolders avoids having too many files in a single folder. 
With each number being the position in the list. Or as this format if choosing webdataset: The tool will then automatically download the urls, resize them, and store them with that format: Img2dataset -url_list=myimglist.txt -output_folder=output_folder -thread_count=64 -image_size=256 The default is 256x256 with white borders.įirst get some image url list. It has 50M image-text pairs.įor all these examples, you may want to tweak the resizing to your preferences.
laion-face Laion face is the human face subset of LAION-400M for large-scale face pretraining. laion-aesthetic Laion aesthetic is a 120M laion5B subset with aesthetic > 7 pwatermark 8 pwatermark = 1024x1024 subset of laion5B. laion5B 5B image/text pairs that can be downloaded in 7 days using 10 nodes. laion400m 400M image/text pairs that can be downloaded in 3.5 days. cc12m 12M image/text pairs that can be downloaded in five hour. cc3m 3M image/text pairs that can be downloaded in one hour. mscoco 600k image/text pairs that can be downloaded in 10min. Example of datasets to download with example commands are available in the dataset_examples folder.
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