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#!/usr/bin/env python3
import cv2
import sys
import rospy
import body_landmark_detector_python3 as bl
import detection_node_python3 as dn
import deep_learning_model_options as do
if __name__ == '__main__':
print('cv2.__version__ =', cv2.__version__)
print('Python version (must be > 3.0):', sys.version)
assert(int(sys.version[0]) >= 3)
models_directory = do.get_directory()
print('Using the following directory for deep learning models:', models_directory)
use_neural_compute_stick = do.use_neural_compute_stick()
detector = bl.BodyLandmarkDetector(models_directory,
use_neural_compute_stick=use_neural_compute_stick)
default_marker_name = 'body_landmarks'
node_name = 'DetectBodyLandmarksNode'
topic_base_name = 'body_landmarks'
fit_plane = True
node = dn.DetectionNode(detector, default_marker_name, node_name, topic_base_name, fit_plane)
node.main()
try:
rospy.spin()
except KeyboardInterrupt:
print('interrupt received, so shutting down')