Package vision_models (1.56.0)
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API documentation forvision_models package.
Classes
Image
Image.
ImageCaptioningModel
Generates captions from image.
Examples::
model = ImageCaptioningModel.from_pretrained("imagetext@001")image = Image.load_from_file("image.png")captions = model.get_captions( image=image, # Optional: number_of_results=1, language="en",)ImageQnAModel
Answers questions about an image.
Examples::
model = ImageQnAModel.from_pretrained("imagetext@001")image = Image.load_from_file("image.png")answers = model.ask_question( image=image, question="What color is the car in this image?", # Optional: number_of_results=1,)ImageTextModel
Generates text from images.
Examples::
model = ImageTextModel.from_pretrained("imagetext@001")image = Image.load_from_file("image.png")captions = model.get_captions( image=image, # Optional: number_of_results=1, language="en",)answers = model.ask_question( image=image, question="What color is the car in this image?", # Optional: number_of_results=1,)MultiModalEmbeddingModel
Generates embedding vectors from images and videos.
Examples::
model = MultiModalEmbeddingModel.from_pretrained("multimodalembedding@001")image = Image.load_from_file("image.png")video = Video.load_from_file("video.mp4")embeddings = model.get_embeddings( image=image, video=video, contextual_text="Hello world",)image_embedding = embeddings.image_embeddingvideo_embeddings = embeddings.video_embeddingstext_embedding = embeddings.text_embeddingMultiModalEmbeddingResponse
The multimodal embedding response.
Video
Video.
VideoEmbedding
Embeddings generated from video with offset times.
VideoSegmentConfig
The specific video segments (in seconds) the embeddings are generated for.
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Last updated 2025-10-30 UTC.