Pipes video frames captured from the flying Tello drone through the facenet detector and reports any human faces it sees.
.. literalinclude:: ../examples/flying_drone_face_detection.py :language: python
As face detection above, but also detecting objects in view at the same time.
.. literalinclude:: ../examples/flying_drone_face_and_object_detection.py :language: python
Example output:
faces: <detectNet.Detection object> -- ClassID: 0 -- Confidence: 0.809878 -- Left: 434.667 -- Top: 0 -- Right: 702.267 -- Bottom: 302.5 -- Width: 267.6 -- Height: 302.5 -- Area: 80949 -- Center: (568.467, 151.25) objects: <detectNet.Detection object> -- ClassID: 7 -- Confidence: 0.500977 -- Left: 0 -- Top: 7.30054 -- Right: 959 -- Bottom: 719.04 -- Width: 959 -- Height: 711.74 -- Area: 682559 -- Center: (479.5, 363.171)
Demonstrates the decoding of pre-captured video frames (of my cat, Marble) and loading into NumPy arrays suitable for analysis.
.. literalinclude:: ../examples/h264_frames_to_numpy_arrays.py :language: python
The same video frames, but this time loaded into CUDA memory for GPU processing. The images are saved back out to JPEG files just so you can see that they are valid.
.. literalinclude:: ../examples/h264_frames_to_cuda.py :language: python
Runs the frames through the ssd-mobilenet-v2 detector and (hopefully) finds the cat.
.. literalinclude:: ../examples/object_detection.py :language: python