Estimation de profondeur

Générez des cartes de profondeur à partir d'images 2D en utilisant l'IA.

This tool loads a ~35 MB AI depth model in your browser. It downloads once and is cached for offline use.

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About Estimation de profondeur

OptiPix Depth Estimation uses a monocular depth estimation AI model to generate depth maps from regular 2D photographs. The model analyzes visual cues like perspective, texture gradients, occlusion, and relative object sizes to estimate the distance of each pixel from the camera. The result is a grayscale depth map where lighter areas represent closer objects and darker areas represent farther objects. This is useful for 3D reconstruction, creating parallax effects, generating bokeh (background blur) effects, robotics research, and understanding scene geometry. The AI model runs entirely in your browser using ONNX Runtime WebAssembly, with no server uploads. The model downloads once (approximately 50 MB) and is cached for offline use. Results can be downloaded as grayscale depth map images or overlaid on the original photo. The tool handles various scene types including outdoor landscapes, indoor rooms, portraits, and street scenes.

How It Works

The tool uses a DPT (Dense Prediction Transformer) model running in your browser via ONNX Runtime. The transformer analyzes the entire image context to estimate per-pixel depth values, producing a dense depth map that captures the 3D structure of the scene from a single 2D image.

Use Cases

•Generate depth maps for 3D photo effects
•Create parallax scrolling effects for web design
•Add synthetic bokeh (background blur) to photos
•Analyze scene geometry for computer vision projects
•Create depth-based visual effects for video editing

Frequently Asked Questions

How accurate are the depth maps?

The model produces relative depth estimates that are qualitatively accurate for most scenes. Exact metric distances are not provided, but the relative ordering of near and far objects is generally correct.

What is a depth map used for?

Depth maps are used for creating 3D effects, generating synthetic bokeh, augmented reality, 3D reconstruction, parallax scrolling effects, and scene understanding in computer vision.

How large is the AI model?

The depth estimation model is approximately 50 MB. It downloads once on first use and is cached for instant offline use.

Can I use this for 3D printing?

The depth map provides relative depth information that can serve as a starting point for 3D reconstruction, but additional processing would be needed for printable 3D models.

Does this work with any type of photo?

The model works best with natural photographs of real-world scenes. It handles landscapes, indoor scenes, portraits, and street scenes well. Abstract images or heavily edited photos may produce less accurate results.

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