optical-tracer 0.1.7

The system detects and tracks characteristic moving objects from the video, and traces their movement to create a 3D graph.

optical_tracer

It extracts feature points from the video and traces their movements in the video.
After the video is stopped, a 3D graph of those movements is generated with the X axis as the X coordinate, the Y axis as the Y coordinate, and the Z axis as the time.

PIP

$ pip3 install optical-tracer
$ pip3 install opencv-python
$ pip3 install matplotlib

import

from optical_trace import optical_trace

Usage

• example

optical_trace.opt_trace("test_opt.mp4",4,0.6,25,[123,456],[789,1011])

There are six arguments available for this function.

optical_trace.opt_trace("movie_path",max_feature_points,threshold_value,minimum_distance,x_range,y_range)

• movie_path
  • path of the video you want to use.
• max_feature_points
  • maximum number of feature points that can be detected.
• threshold_value
  • Threshold for careful selection of feature points. Higher the value, more selective the feature points.
• threshold_value
  • Minimum distance between feature points. If they are closer than this value, the feature points are not detected.
• x_range
  • Used to specify the range to detect feature points.
    If the range of X coordinate is not specified, it is set to none.
    The range is specified by a list. [123,456]
• y_range
  • Used to specify the range to detect feature points.
    If the range of Y coordinate is not specified, it is set to none.
    The range is specified by a list. [123,456]