Image Embedding module
- class orangecontrib.imageanalytics.image_embedder.ImageEmbedder(model: str = 'inception-v3', server_url: str = 'https://api.garaza.io/')[source]
Client side functionality for accessing a remote image embedding backend.
- model
Name of the model, must be one from MODELS dictionary
- server_url
The url of the server with embedding backend.
Examples
>>> import Orange >>> from orangecontrib.imageanalytics.image_embedder import ImageEmbedder
>>> # embedding from list of paths >>> image_file_paths = ['image001.jpg', 'image001.jpg'] >>> with ImageEmbedder(model='model_name') as emb: ... embeddings = emb(image_file_paths)
>>> # embedding from orange tabl >>> table = Orange.data.Table('Table_with_image_path.csv') >>> with ImageEmbedder(model='model_name') as emb: ... embeddings = emb(table, col="image_path_column")
- clear_cache() None [source]
Function clear cache for the selected embedder. If embedder is loaded cache is cleaned from its dict otherwise we load cache and clean it from file.
- static construct_output_data_table(embedded_images: Orange.data.table.Table, embeddings_: numpy.ndarray) Orange.data.table.Table [source]
Join the orange table with embeddings.
- Parameters
embedded_images – Table with images that were successfully embedded
embeddings – Embeddings for images from table
- Returns
- Return type
Table with added embeddings to data.
- from_table(data: Orange.data.table.Table, col: Union[str, Orange.data.variable.Variable] = 'image', callback: Optional[Callable] = None) Tuple[Orange.data.table.Table, Orange.data.table.Table, int] [source]
Calls embedding when data are provided as a Orange Table.
- Parameters
data – Data table with image paths
col – The column with image paths
callback – Optional callback - function that is called for every embedded image and is used to report the progress.
- static prepare_output_data(input_data: Orange.data.table.Table, embeddings_: List[List[float]]) Tuple[Orange.data.table.Table, Orange.data.table.Table, int] [source]
Prepare output data when data table on input.
- Parameters
input_data – The table with original data that are joined with embeddings
embeddings – List with embeddings
- Returns
Tuple where first parameter is table with embedded images, the second
table with skipped images and third the number of skipped images.