Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Pywayne Cv Camera Model
Camera model wrapper for camera_models C++ library via pybind11. Use when working with pywayne.cv.camera_model module to load camera models from YAML configu...
skill openclawclawhub Free
Camera model wrapper for camera_models C++ library via pybind11. Use when working with pywayne.cv.camera_model module to load camera models from YAML configu...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- wangyendt
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Pywayne Camera Model
This module wraps the camera_models C++ library via pybind11, providing a Python interface for camera operations.
Quick Start
from pywayne.cv.camera_model import CameraModel from pywayne.cv.tools import write_cv_yaml import numpy as np # Create camera model camera = CameraModel() # Load from YAML file camera.load_from_yaml('camera_config.yaml') # Access properties print(f"Model: {camera.model_type}") print(f"Size: {camera.image_width}x{camera.image_height}")
Loading from YAML
from pathlib import Path # Sample YAML configuration yaml_data = { "model_type": "PINHOLE", "camera_name": "my_camera", "image_width": 1280, "image_height": 720, "distortion_parameters": {"k1": 0.0, "k2": 0.0}, "projection_parameters": {"fx": 600.0, "fy": 600.0, "cx": 640.0, "cy": 360.0} } # Write YAML file write_cv_yaml('camera_config.yaml', yaml_data) # Load model camera.load_from_yaml('camera_config.yaml')
Supported Camera Models
Model TypeDescriptionPINHOLEStandard pinhole camera with radial distortionPINHOLE_FULLFull pinhole model with all distortion parametersCATACatadioptric camera modelEQUIDISTANTEquidistant camera modelOCAMUnified camera model
lift_projective()
Lifts a 2D image point to a 3D projective ray: # Input can be tuple, list, or numpy array ray_3d = camera.lift_projective([u, v]) # Returns np.ndarray (x, y, z)
space_to_plane()
Projects a 3D point onto the 2D image plane: # Input can be tuple, list, or numpy array uv = camera.space_to_plane([x, y, z]) # Returns np.ndarray (u, v)
Properties
PropertyDescriptionmodel_typeCamera model type (enum)camera_nameName of the loaded cameraimage_widthImage width in pixelsimage_heightImage height in pixels
Parameters Dictionary
Export all camera parameters as a dictionary: params = camera.get_parameters_as_dict() print(params) Includes model-specific parameters: Pinhole: k1, k2, p1, p2, fx, fy, cx, cy Pinhole Full: k1-k6, p1-p2, fx, fy, cx, cy CATA: xi, k1-k2, p1-p2, gamma1-2, u0, v0 Equidistant: k2-k5, mu, mv, u0, v0 OCAM: C, D, E, center_x, center_y, poly, inv_poly
Requirements
camera_models - C++ library (auto-downloaded via gettool if missing) numpy - Array operations pywayne.cv.tools.write_cv_yaml - For writing YAML files
Notes
Library is automatically checked and downloaded via gettool if not found Supports both tuple/list and numpy array inputs for projection methods Output from projection methods is always np.ndarray with dtype=np.float64
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md