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Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning

Documents in PDF, TIFF, JPEG or PNG format are put in an Amazon Simple Storage Service ( Amazon S3 ) bucket and subsequently indexed into OpenSearch using this Step Functions workflow. The default is 15 minutes and often there was no activity in the last 15 minutes. In this example, it changed to 15 days to visualize the ingest.

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Build a vaccination verification solution using the Queries feature in Amazon Textract

AWS Machine Learning

If there are between 15–31 queries and the number of pages is between 2–3,001, then Amazon Textract asynchronous processing is the only option, because synchronous APIs only support up to 15 queries and one-page documents. It supports 1-page documents (TIFF, PDF, JPG, PNG) and up to 15 queries.

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Safe image generation and diffusion models with Amazon AI content moderation services

AWS Machine Learning

png | instance_image_2.png png | instance_image_3.png png | instance_image_4.png png | instance_image_5.png png | dataset_info.json Obviously, you can manually review and filter the images, but this can be time-consuming and even impractical when you do this at scale across many projects and teams.

APIs 81
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Unlock Insights from your Amazon S3 data with intelligent search

AWS Machine Learning

Configure synchronization schedule The template allows you to run the schedule every hour at minute 0, for example, 13:00, 14:00, or 15:00. By default,png and.jpg files will be added to the ExclusionPatterns parameter. When the data source has finished, the Last sync status appears as Succeeded and Current sync state as Idle.

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Implement a multi-object tracking solution on a custom dataset with Amazon SageMaker

AWS Machine Learning

png", "rb") as f: payload = f.read() response = sm_runtime.invoke_endpoint( EndpointName=endpoint_name, ContentType="application/x-image", Body=payload ) outputs = json.loads(response["Body"].read().decode()) The following table summarizes the configuration for our inference jobs.

Scripts 78
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16 best web design tools

JivoChat

If you need to edit an image in JPG or PNG, for example, sometimes it’s necessary to convert the file to another format, such as SVG and EPS, which Vector Magic allows you to do online without having to install anything. . Smart editor. Smart edges. Smart auto-crop. Rotate/ straighten. Resize images. Comprehensive color control.

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Run multiple generative AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe and save up to 75% in inference costs

AWS Machine Learning

png" img_bytes = None with Image.open(img_file) as f: img_bytes = encode_image(f) gen_args = json.dumps(dict(point_coords=[750, 500], point_labels=1, dilate_kernel_size=15)) payload = json.dumps({"image": img_bytes, "gen_args": gen_args}).encode("utf-8")