SPE - Scorpion Python Examples’s documentation

The Scorpion Python Examples provides valuable insight in Scorpion Vision Python Scripting. Python is what has made Scorpion a powerful machine vision framework.

Scorpion is extended by the important open-source libraries Numpy, Scipy and OpenCV. Most of these powerful API are exposed by a smooth python interface.

Tool script automate candles processing

The Scorpion Python Modules provides the source code and documentation for all python modules with Scorpion Vision Software.

Contents:

• Python Primer
  • Variables and namespaces
  • A Script - An ordered collection of statements
  • Python and Scorpion
  • Scorpion Central
  • Scorpion Tool scripts
  • Working with files
• Examples 01-10
  • Example 01: Calculate Area
  • Example 02: Calculate mean value
  • Example 03: Manipulate the results from two LineFinders
  • Example 04: Dynamic Threshold
  • Example 05: Auto Exposure
  • Example 06: DrawLine
  • Example 07: Overlays
  • Example 08-A: Python Methods
  • Example 08-B: Python Objects
  • Example 09: Scorpion Timing
  • Example 10: Imaging Averaging
• Examples 11-20
  • Example 11: Resample Image
  • Example 12: Constant Image Contrast
  • Example 13-A: Serial Communication using PythonWin
  • Example 13-B: Serial Communication in Scorpion
  • Example 14: Python Results
  • Example 15: Making a result string
  • Example 16: Automation by tool scripting
  • Example 17: Image Manipulation with Python
  • Example 18: Calculate Median Angle
  • Example 19: Iterating objects located by a blob
  • Example 20: Resampling using non-linear calibration
• Examples 21-30
  • Example 21: Custom Scorpion Python extension
  • Example 22: Accessing Scorpion Image Pixels
  • Example 23: Implementing a tcp/ip Socket Server
  • Example 24: Setting ExternalReference from calculated four points
  • Example 25: Rotating a reference around in a circle
  • Example 26: Grabbing an image from an MOXA Video IP Server
  • Example 27: Toolbox Switch
  • Example 28: ColorMatcher Iteration
  • Example 29: Audio notification
  • Example 30: Resampling using non-linear calibration
• Examples 31-40
  • Example 31: Client to tcp Socket Server
  • Example 32: Read / Write External Data from / to file
  • Example 33: Changing a tool’s ROI using ExecuteCmd
  • Example 34: Histogram Equalization
  • Example 35: Robust Adam 6060 scripts
  • Example 36: Bubble Sorting
  • Example 37: Element Statistics
  • Example 38: Saving Scorpion 3D Image
  • Example 39 - Disabling Zoom in Image Windows
  • Example 40 - Filtering timeseries
• Examples 41-50
  • Example 41: Scorpion Watchdog keep system running
  • Example 42: Binary Search
  • Example 43: Creating an ordered pointcloud
  • Example 44: UDP Socket Communication
  • Example 45: Creating an empty pointcloud
• Using Arrlib from Python
  • Introduction
  • arrlibct versus pyArrlib
  • How to get help on arrlibct
  • Data types in ArrLib and arrlibct
  • Fundamental types
  • Small vectors
  • Supported operations
  • Small matrices
  • Supported operations
  • Poses
  • Supported operations
  • Ranges
  • Parametric lines
  • Supported operations
  • Circles and spheres
  • Color pixels
  • Important note on garbage collection
  • Geometric recipes
  • Planar geometry
  • Working with homogeneous lines and points in the plane
  • Fitting points to a straight line
  • Transformation of normal vectors and homogeneous lines.
  • 3D space geometry
  • 3D point transformations
  • Merging two point clouds in Scorpion
  • Intersecting lines in 3D
  • Python Script Samples
• Using ScorpionOpenCV
  • Introduction
  • Image filters
  • ImageFilter examples
  • Code examples
• Release notes
• Scorpion Vision Software

Indices and tables

• Index
• Module Index
• Search Page