#!/usr/bin/python3 # exampleTransform.py # 2019 Daniel Klamt # Inverts a grayscale image in place, requires numpy. # # gst-launch-1.0 videotestsrc ! ExampleTransform ! videoconvert ! xvimagesink import gi gi.require_version('Gst', '1.0') gi.require_version('GstBase', '1.0') gi.require_version('GstVideo', '1.0') from gi.repository import Gst, GObject, GstBase, GstVideo import numpy as np Gst.init_python() FIXED_CAPS = Gst.Caps.from_string('video/x-raw,format=GRAY8,width=[1,2147483647],height=[1,2147483647]') class ExampleTransform(GstBase.BaseTransform): __gstmetadata__ = ('ExampleTransform Python','Transform', 'example gst-python element that can modify the buffer gst-launch-1.0 videotestsrc ! ExampleTransform ! videoconvert ! xvimagesink', 'dkl') __gsttemplates__ = (Gst.PadTemplate.new("src", Gst.PadDirection.SRC, Gst.PadPresence.ALWAYS, FIXED_CAPS), Gst.PadTemplate.new("sink", Gst.PadDirection.SINK, Gst.PadPresence.ALWAYS, FIXED_CAPS)) def do_set_caps(self, incaps, outcaps): struct = incaps.get_structure(0) self.width = struct.get_int("width").value self.height = struct.get_int("height").value return True def do_transform_ip(self, buf): try: with buf.map(Gst.MapFlags.READ | Gst.MapFlags.WRITE) as info: # Create a NumPy ndarray from the memoryview and modify it in place: A = np.ndarray(shape = (self.height, self.width), dtype = np.uint8, buffer = info.data) A[:] = np.invert(A) return Gst.FlowReturn.OK except Gst.MapError as e: Gst.error("Mapping error: %s" % e) return Gst.FlowReturn.ERROR GObject.type_register(ExampleTransform) __gstelementfactory__ = ("ExampleTransform", Gst.Rank.NONE, ExampleTransform)