Framework that generates a set of images based on the queries.txt file, each query is considered a class that will be used to generate a model later.
You can write the queries to be searched in flickr and bing in 'queries.txt', each line thats starts with + is a class and query to be searched in the databases.
For example, if we wanted to search a database of pictures of cats we could write something like this:
+ (cats animal pet cat) -(people photographer family dog dogs mouse fox rat mice rabbit bunny guinea-pig guineapig wolf squirrel monkey woman women men man)
The text after the bullet '-' is a list of all unwanted tags for each query.
After writing your queries, you need to add a Flickr API key in the .env file that you can get in https://www.flickr.com/services/api/, alongside the API_KEY you need to change your model name, and the size of the dataset for each class.
Lastly, you need to download the libraries. From the root project in your python environment run:
$ pip install -r requirements.txt
To run the download scripts run the 'script' file, for instance, to download from Flickr Database use (you can do the same for the bing_script):
$ python flickr_script.py
$ python bing_script.py
Done! You're now downloading the images and can generate a dataset for an Image Classifier with ease.
- Documentação Readme Download
- Tags Indesejadas retiradas
- Implementação Leitura queries.txt
- Threading download Flickr
- Implementação modo geotags (recolher lat, lng => salvar pais em csv (sera utilizado dps no modelo))
- Interface de utilização