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Depth Map Generation

Generate depth maps from images using each::sense AI. Create depth estimation for 3D effects, parallax animations, VR/AR applications, focus effects, and ste...

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Generate depth maps from images using each::sense AI. Create depth estimation for 3D effects, parallax animations, VR/AR applications, focus effects, and ste...

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  1. Download the package from Yavira.
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Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

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Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/SSE-EVENTS.md

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 23 sections Open source page

Depth Map Generation

Generate accurate depth maps from any image using each::sense. This skill extracts depth information from 2D images for 3D effects, parallax animations, VR/AR applications, computational photography, and more.

Features

Monocular Depth Estimation: Extract depth from single images Portrait Depth Maps: Precise depth for portrait photography effects Landscape Depth: Scene depth for panoramic and landscape images Product Depth: 3D-ready depth maps for e-commerce Architectural Depth: Building and interior depth analysis 3D Parallax Effects: Depth data for Ken Burns-style animations VR/AR Depth: Real-time depth estimation for immersive experiences Stereo Image Generation: Convert 2D to stereoscopic 3D Focus Stacking: Depth-based focus plane selection Background Blur: Depth-aware bokeh and blur effects

Quick Start

curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this photo", "image_urls": ["https://example.com/photo.jpg"], "mode": "max" }'

Depth Map Output Formats

FormatDescriptionUse CaseGrayscale8-bit depth (white=near, black=far)General purpose, visualizationInverse Grayscale8-bit depth (black=near, white=far)Some 3D software compatibilityNormalized0-1 range depth valuesMachine learning pipelinesMetricReal-world distance estimationAR/VR, robotics

1. Generate Depth Map from Photo

Basic depth extraction from any image. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this image. Output as grayscale where white represents closer objects and black represents distant objects.", "image_urls": ["https://example.com/scene.jpg"], "mode": "max" }'

2. Portrait Depth Map

Extract precise depth from portrait photos for bokeh effects and 3D portraits. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Create a high-precision depth map from this portrait photo. Focus on accurate edge detection around the subject, especially hair and facial features. I need this for applying realistic depth-of-field effects.", "image_urls": ["https://example.com/portrait.jpg"], "mode": "max" }'

3. Landscape Depth Map

Generate depth from landscape and outdoor scenes with extended depth range. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this landscape photo. The scene has foreground elements, mid-ground terrain, and distant mountains. Capture the full depth range from near to far with good separation between depth layers.", "image_urls": ["https://example.com/landscape.jpg"], "mode": "max" }'

4. Product Depth for 3D Effect

Create depth maps for product images to enable 3D viewing experiences. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Extract a depth map from this product photo. I need accurate depth information to create a 3D interactive view for an e-commerce website. Focus on capturing the product shape and surface details.", "image_urls": ["https://example.com/product-sneaker.jpg"], "mode": "max" }'

5. Architectural Depth Map

Generate depth from architectural and interior photos for visualization. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Create a depth map from this interior architecture photo. Capture the spatial relationships between walls, furniture, and architectural elements. I need this for a virtual tour with depth-based transitions.", "image_urls": ["https://example.com/interior.jpg"], "mode": "max" }'

6. 3D Parallax Effect Creation

Generate depth maps optimized for creating parallax animations and Ken Burns effects. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this photo that I will use for a 3D parallax animation. I need clear depth separation between foreground, midground, and background elements. The depth should be smooth with distinct layers for a compelling parallax effect.", "image_urls": ["https://example.com/scene-for-parallax.jpg"], "mode": "max" }'

7. VR/AR Depth Estimation

Create depth maps suitable for virtual and augmented reality applications. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this room photo for AR/VR use. I need metric depth estimation that accurately represents real-world distances. This will be used for placing virtual objects in an augmented reality application.", "image_urls": ["https://example.com/room.jpg"], "mode": "max" }'

8. Stereo Image Generation

Convert 2D images to stereoscopic 3D using depth estimation. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this photo and use it to create a stereoscopic 3D image pair (left and right eye views). The stereo effect should be subtle enough for comfortable viewing but noticeable enough to create depth perception.", "image_urls": ["https://example.com/photo-for-stereo.jpg"], "mode": "max" }'

9. Focus Stacking Depth

Generate depth maps for computational focus stacking and all-in-focus composites. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Create a depth map from this macro/close-up photo. I need precise depth information to identify focus planes for computational focus stacking. Each depth layer should be clearly defined so I can select which areas should be in focus.", "image_urls": ["https://example.com/macro-photo.jpg"], "mode": "max" }'

10. Depth-Aware Background Blur

Generate depth for applying realistic bokeh and background blur effects. curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this photo for applying depth-aware background blur. The subject in the foreground should be clearly separated from the background. I need accurate edge detection so the blur transition looks natural, similar to a portrait mode effect.", "image_urls": ["https://example.com/photo-for-blur.jpg"], "mode": "max" }'

Multi-Turn Depth Processing

Use session_id to refine depth maps or process multiple related images: # Initial depth estimation curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this photo", "image_urls": ["https://example.com/scene.jpg"], "session_id": "depth-project-001" }' # Refine the depth map curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "The depth map looks good but can you enhance the edge detection around the main subject? The boundaries are a bit fuzzy.", "session_id": "depth-project-001" }' # Apply the depth map for an effect curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Now use this depth map to create a 3D parallax video animation with subtle camera movement", "session_id": "depth-project-001" }'

Batch Depth Processing

Process multiple images for consistent depth estimation: # Process first image curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate a depth map from this product photo. I will be sending more product images that need consistent depth estimation.", "image_urls": ["https://example.com/product1.jpg"], "session_id": "product-depth-batch", "mode": "eco" }' # Process second image with same settings curl -X POST https://sense.eachlabs.run/chat \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -H "Accept: text/event-stream" \ -d '{ "message": "Generate depth map for this product using the same approach as before", "image_urls": ["https://example.com/product2.jpg"], "session_id": "product-depth-batch", "mode": "eco" }'

Mode Selection

ModeBest ForSpeedQualitymaxFinal production depth maps, VR/AR applications, professional compositingSlowerHighest precisionecoQuick previews, batch processing, prototypingFasterGood quality Recommendation: Use max mode when depth accuracy is critical (VR/AR, 3D conversion, professional compositing). Use eco mode for rapid iteration and batch processing.

Input Image Quality

Resolution: Higher resolution inputs produce more detailed depth maps Lighting: Even lighting helps with accurate depth estimation Contrast: Clear contrast between objects improves depth separation Focus: Sharp images yield better edge detection in depth maps

Depth Map Applications

Parallax Effects: Use 3-5 distinct depth layers for best results Bokeh/Blur: Ensure clean subject edges for natural blur falloff 3D Conversion: Provide context about scene scale for metric depth VR/AR: Request metric depth for real-world distance accuracy

Prompt Tips

Specify output format: Grayscale, normalized, or metric depth Describe the scene: Help the model understand spatial relationships State your use case: Different applications benefit from different depth characteristics Request edge quality: Specify if you need sharp or smooth depth transitions

Error Handling

ErrorCauseSolutionFailed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.aiImage loading failedInvalid or inaccessible image URLVerify image URL is publicly accessibleTimeoutComplex or high-resolution imageSet client timeout to minimum 10 minutesLow quality depth outputPoor input image qualityUse higher resolution, better lit source image

Technical Notes

Client Timeout: Set your HTTP client timeout to minimum 10 minutes for complex depth estimation Image Formats: Supports JPEG, PNG, WebP input images Output Format: Depth maps are typically output as grayscale PNG images Depth Range: Relative depth (0-1) by default; metric depth available on request

Related Skills

each-sense - Core API documentation image-to-3d - Full 3D model generation from images image-editing - Apply depth-based effects to images video-generation - Create parallax videos from depth maps

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

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Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • references/SSE-EVENTS.md Docs