
Overview
This solution takes a set of images as input and produces a 3D model of the scene as output. It first performs Structure-from-Motion (SfM) to estimate the camera poses and sparse 3D points from the images. It then performs Multi-View Stereo (MVS) to refine the 3D points and generate a dense point cloud or a surface mesh. This solution takes a zip file named "train" of images from different angles as input and returns a zip file of a PLY format as output. This solution supports jpg and png file formats. This solution is available on GPU bases machines only. The minimum numbers are 4 form different view of the same object for optimal reconstruction.
Highlights
- This solution can be used to reconstruct 3D models of objects, scenes or landmarks from overlapping images and uses state of the art methods like SfM and MVS for 3D reconstruction.
- The 3D information provided by this soltuion can be used for further downstream activities like damage detection and volume estimation
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Pricing
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $10.00 |
ml.m5.large Inference (Real-Time) Recommended | Model inference on the ml.m5.large instance type, real-time mode | $5.00 |
ml.g4dn.xlarge Training Recommended | Algorithm training on the ml.g4dn.xlarge instance type | $5.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $10.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $10.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $10.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $10.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $10.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $10.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $10.00 |
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Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
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Inputs
- Summary
The zip file would contain the images captured from different views of an object.
- Input MIME type
- application/zip
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