ykcheungab
120 lines
5.3 KiB
Python
120 lines
5.3 KiB
Python
"""ORY-BOX / ORY-MINI: read a sensor and get tactile information, in one loop.
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The whole recommended flow:
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sensor -> StreamPipeline -> FrameSnapshot per frame
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One object reads the camera, pre-processes (stitch, grey, resize), computes the deformation field
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and the forces, and hands back one immutable snapshot per frame. There is no stage sequence to
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remember and no tuple to unpack by position.
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What you do NOT need to touch: the compute backend, the capture queue, the stitch mode, the
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low-pass filter, or the order in which the stages run. Those are the SDK's concern and
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``StreamPipeline`` sequences them on three concurrent threads. If you later need that control, the
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manual form is preserved in ``examples/archive/basic_pipeline_manual.py``.
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Run:
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python examples/basic_pipeline.py # first camera, box config
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python examples/basic_pipeline.py -v 0 -c mini
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python examples/basic_pipeline.py -v recording.mp4 -c box
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python examples/basic_pipeline.py --no-show # headless: print only
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Keys: 'q' quit, 'r' reset the tracker.
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"""
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import argparse
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import os
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import sys
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# Set before OpenCV is imported: stops the capture backend applying its own transform on top of
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# the SDK's preprocessing. This is a capture detail, not a tuning knob you need to own - it is
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# here so the file can be copied as a whole.
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os.environ.setdefault("OPENCV_VIDEOIO_MSMF_ENABLE_HW_TRANSFORMS", "0")
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import cv2
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import orisys
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from _display import depth_to_color, draw_contact, draw_flow_arrows
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def main() -> int:
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parser = argparse.ArgumentParser(description="Read a sensor and print its tactile information.")
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parser.add_argument("-v", "--video", default="0",
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help="camera index or video file path (default: 0)")
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parser.add_argument("-c", "--config", default="box",
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help="product config: box, mini, finger, or a config path")
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parser.add_argument("--cal", default=None,
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help="force calibration file; omit to use the sensor bundle's own")
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parser.add_argument("--no-show", dest="show", action="store_false",
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help="do not open the display windows")
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parser.add_argument("-verbose", action="store_true", help="SDK verbose logs")
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args = parser.parse_args()
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# ------------------------------------------------------------------ create the object
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# That is the whole setup. The source may be a camera index or a video path.
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source = int(args.video) if args.video.isdigit() else args.video
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sensor = orisys.Sensor(source, config_name=args.config, cal_path=args.cal,
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verbose=args.verbose)
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# contact=True runs contact analysis. include=... selects which arrays each snapshot carries;
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# arrays that are not included are None, so you pay only for what you use.
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include = ("image", "flow", "depth", "centroid", "contour") if args.show else ("image",)
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if args.show:
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print("Keys: 'q' quit, 'r' reset tracker.")
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try:
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with orisys.StreamPipeline(sensor, sensor.get_img, contact=True,
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include=include) as pipe:
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while True:
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# ------------------------------------------------------ read one frame
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# Blocks until a frame newer than the last one is ready. Everything in the
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# snapshot belongs to the same frame.
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snap = pipe.wait()
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if snap is None:
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print("\nInput ended.")
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break
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# ------------------------------------------------------ use the results
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# The *_raw pair is always the unfiltered integrator output.
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touching = "yes" if snap.centroid is not None else "no"
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fn_unit, fx_unit, fy_unit = sensor.force_units
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print(
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f"FPS={snap.fps:5.1f} "
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f"normal={snap.normal_force:8.4f} {fn_unit} (raw {snap.normal_force_raw:10.2f}) "
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f"shear=({snap.shear_x:7.4f} {fx_unit}, {snap.shear_y:7.4f} {fy_unit}) "
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f"contact={touching} age={snap.age_ms:4.1f} ms",
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end="\r",
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)
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if args.show and snap.image is not None:
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if snap.flow is not None:
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cv2.imshow("deformation", draw_flow_arrows(
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snap.image, snap.flow, threshold=2, grid_spacing=20))
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if snap.contour is not None and snap.centroid is not None:
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cv2.imshow("contact", draw_contact(
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snap.image, snap.contour, snap.centroid))
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colour = depth_to_color(snap.depth)
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if colour is not None:
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cv2.imshow("depth", colour)
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key = cv2.waitKey(1) & 0xFF
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if key == ord("q"):
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print("\nExiting.")
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break
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if key == ord("r"):
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# Queued onto the flow stage, so this is safe from the consumer loop.
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pipe.reset()
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print("\nTracker reset.")
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except KeyboardInterrupt:
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print("\nInterrupted.")
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finally:
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sensor.disconnect()
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if args.show:
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cv2.destroyAllWindows()
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return 0
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if __name__ == "__main__":
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sys.exit(main()) |