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segmentation_industrial.py
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segmentation_industrial.py
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################################################################################
# The MIT License
#
# Copyright (c) 2021-2024, Prominence AI, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
################################################################################
################################################################################
#
# The simple example demonstrates how to create a set of Pipeline components,
# specifically:
# - URI Source to read a jpeg image file
# - Primary GST Inference Engine (PGIE)
# - Segmentation Visualizer
# - Window Sink
# ...and how to add them to a new Pipeline and play
#
# The example registers handler callback functions with the Pipeline for:
# - key-release events
# - delete-window events
#
# NOTE: The Primary GST Inference engine is configured for Industrial Segmentation.
# The NVIDIA provided PGIE configuration file can be found at
# /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-segmentation-test/
#
# The URI Source will push a single frame followed by an End of File (EOF) event.
#
################################################################################
#!/usr/bin/env python
import sys
sys.path.insert(0, "../../")
import time
from dsl import *
import pyds
file_path = '/opt/nvidia/deepstream/deepstream/samples/streams/sample_industrial.jpg'
# Filespecs for the Primary GIE
primary_infer_config_file = \
'/opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-segmentation-test/dstest_segmentation_config_industrial.txt'
# Segmentation Visualizer output dimensions should (typically) match the
# inference dimensions defined in dstest_segmentation_config_industrial.txt (512x512)
width = 512
height = 512
##
# Function to be called on XWindow KeyRelease event
##
def xwindow_key_event_handler(key_string, client_data):
print('key released = ', key_string)
if key_string.upper() == 'P':
dsl_pipeline_pause('pipeline')
elif key_string.upper() == 'R':
dsl_pipeline_play('pipeline')
elif key_string.upper() == 'Q' or key_string == '' or key_string == '':
dsl_pipeline_stop('pipeline')
dsl_main_loop_quit()
##
# Function to be called on XWindow Delete event
##
def xwindow_delete_event_handler(client_data):
print('delete window event')
dsl_pipeline_stop('pipeline')
dsl_main_loop_quit()
def segvisual_src_pad_buffer_probe(buffer, user_data):
# Retrieve batch metadata from the gst_buffer
batch_meta = pyds.gst_buffer_get_nvds_batch_meta(buffer)
l_frame = batch_meta.frame_meta_list
while l_frame is not None:
try:
# Note that l_frame.data needs a cast to pyds.NvDsFrameMeta
# The casting is done by pyds.glist_get_nvds_frame_meta()
# The casting also keeps ownership of the underlying memory
# in the C code, so the Python garbage collector will leave
# it alone.
frame_meta = pyds.glist_get_nvds_frame_meta(l_frame.data)
except StopIteration:
break
# TODO Handle segmentation meta data
try:
l_frame=l_frame.next
except StopIteration:
break
return True
def main(args):
# Since we're not using args, we can Let DSL initialize GST on first call
while True:
# New URI Image Source using the files path defined above, not simulating
# a live source, stream at 15 hz, and generate EOS after 10 seconds.
retval = dsl_source_uri_new('image-source',
uri = file_path,
is_live = False,
skip_frames = 0,
drop_frame_interval = False)
if retval != DSL_RETURN_SUCCESS:
break
# New Primary GIE using the Config filespec above, with interval and Id
# Setting the model_engine_file parameter to None == attemp to create model
retval = dsl_infer_gie_primary_new('primary-gie',
infer_config_file = primary_infer_config_file,
model_engine_file = None,
interval = 0)
if retval != DSL_RETURN_SUCCESS:
break
# New Segmentation Visualizer with output dimensions
retval = dsl_segvisual_new('segvisual', width=width, height=height)
if retval != DSL_RETURN_SUCCESS:
break
# New Window Sink, 0 x/y offsets and dimensions
retval = dsl_sink_window_egl_new('egl-sink', 100, 1000, width, height)
if retval != DSL_RETURN_SUCCESS:
break
# Example of how to force the aspect ratio during window resize
dsl_sink_window_egl_force_aspect_ratio_set('egl-sink', force=True)
if retval != DSL_RETURN_SUCCESS:
break
# Add the XWindow event handler functions defined above to the Window Sink
retval = dsl_sink_window_key_event_handler_add('egl-sink',
xwindow_key_event_handler, None)
if retval != DSL_RETURN_SUCCESS:
break
retval = dsl_sink_window_delete_event_handler_add('egl-sink',
xwindow_delete_event_handler, None)
if retval != DSL_RETURN_SUCCESS:
break
# New Custom Pad Probe Handler to handle the Segmentatin Meta Data
retval = dsl_pph_custom_new('custom-pph',
client_handler = segvisual_src_pad_buffer_probe,
client_data = None)
if retval != DSL_RETURN_SUCCESS:
break
# Add the Custom Pad Probe Handler to the src pad of the Segmentation Visualizer
retval = dsl_segvisual_pph_add('segvisual', 'custom-pph')
if retval != DSL_RETURN_SUCCESS:
break
# Add all the components to our pipeline
retval = dsl_pipeline_new_component_add_many('pipeline',
['image-source', 'primary-gie', 'segvisual', 'egl-sink', None])
if retval != DSL_RETURN_SUCCESS:
break
# Set the Streammuxer dimensions to the same as GIE Config and Sink dimensions
retval = dsl_pipeline_streammux_dimensions_set("pipeline",
width=width, height=height)
# Play the pipeline
retval = dsl_pipeline_play('pipeline')
if retval != DSL_RETURN_SUCCESS:
break
dsl_main_loop_run()
retval = DSL_RETURN_SUCCESS
break
# Print out the final result
print(dsl_return_value_to_string(retval))
dsl_pipeline_delete_all()
dsl_component_delete_all()
if __name__ == '__main__':
sys.exit(main(sys.argv))