depth-map-generation
npx skills add https://github.com/eachlabs/skills --skill depth-map-generation
Agent 安装分布
Skill 文档
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
| Format | Description | Use Case |
|---|---|---|
| Grayscale | 8-bit depth (white=near, black=far) | General purpose, visualization |
| Inverse Grayscale | 8-bit depth (black=near, white=far) | Some 3D software compatibility |
| Normalized | 0-1 range depth values | Machine learning pipelines |
| Metric | Real-world distance estimation | AR/VR, robotics |
Use Case Examples
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
| Mode | Best For | Speed | Quality |
|---|---|---|---|
max |
Final production depth maps, VR/AR applications, professional compositing | Slower | Highest precision |
eco |
Quick previews, batch processing, prototyping | Faster | Good 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.
Best Practices
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
| Error | Cause | Solution |
|---|---|---|
Failed to create prediction: HTTP 422 |
Insufficient balance | Top up at eachlabs.ai |
| Image loading failed | Invalid or inaccessible image URL | Verify image URL is publicly accessible |
| Timeout | Complex or high-resolution image | Set client timeout to minimum 10 minutes |
| Low quality depth output | Poor input image quality | Use 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 documentationimage-to-3d– Full 3D model generation from imagesimage-editing– Apply depth-based effects to imagesvideo-generation– Create parallax videos from depth maps