373 lines
19 KiB
Python
373 lines
19 KiB
Python
"""
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Mqtt gateway for oak-lite device
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"""
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import argparse
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import logging
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import os
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import signal
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import types
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import typing
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from typing import List
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import depthai as dai
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import paho.mqtt.client as mqtt
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from camera import oak_pipeline as cam
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from camera.oak_pipeline import StereoDepthPostFilter, MedianFilter, SpeckleFilter, TemporalFilter, SpatialFilter, \
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ThresholdFilter, DecimationFilter
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CAMERA_EXPOSITION_DEFAULT = "default"
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CAMERA_EXPOSITION_8300US = "8300us"
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CAMERA_EXPOSITION_500US = "500us"
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logger = logging.getLogger(__name__)
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_DEFAULT_CLIENT_ID = "robocar-depthai"
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def _parse_args_cli() -> argparse.Namespace:
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parser = argparse.ArgumentParser()
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parser.add_argument("-u", "--mqtt-username",
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help="MQTT user",
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default=_get_env_value("MQTT_USERNAME", ""))
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parser.add_argument("-p", "--mqtt-password",
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help="MQTT password",
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default=_get_env_value("MQTT_PASSWORD", ""))
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parser.add_argument("-b", "--mqtt-broker-host",
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help="MQTT broker host",
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default=_get_env_value("MQTT_BROKER_HOST", "localhost"))
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parser.add_argument("-P", "--mqtt-broker-port",
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help="MQTT broker port",
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type=int,
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default=_get_env_int_value("MQTT_BROKER_PORT", 1883))
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parser.add_argument("-C", "--mqtt-client-id",
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help="MQTT client id",
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default=_get_env_value("MQTT_CLIENT_ID", _DEFAULT_CLIENT_ID))
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parser.add_argument("-c", "--mqtt-topic-robocar-oak-camera",
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help="MQTT topic where to publish robocar-oak-camera frames",
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default=_get_env_value("MQTT_TOPIC_CAMERA", "/oak/camera_rgb"))
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parser.add_argument("-o", "---mqtt-topic-robocar-objects",
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help="MQTT topic where to publish objects detection results",
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default=_get_env_value("MQTT_TOPIC_OBJECTS", "/objects"))
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parser.add_argument("-t", "--objects-threshold",
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help="threshold to filter detected objects",
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type=float,
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default=_get_env_float_value("OBJECTS_THRESHOLD", 0.2))
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parser.add_argument("-d", "---mqtt-topic-robocar-disparity",
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help="MQTT topic where to publish disparity results",
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default=_get_env_value("MQTT_TOPIC_DISPARITY", "/disparity"))
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parser.add_argument("-f", "--camera-fps",
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help="set rate at which camera should produce frames",
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type=int,
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default=30)
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parser.add_argument("--camera-tuning-exposition", type=str,
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default=CAMERA_EXPOSITION_DEFAULT,
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help="override camera exposition configuration",
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choices=[CAMERA_EXPOSITION_DEFAULT, CAMERA_EXPOSITION_500US, CAMERA_EXPOSITION_8300US])
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parser.add_argument("-H", "--image-height", help="image height",
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type=int,
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default=_get_env_int_value("IMAGE_HEIGHT", 120))
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parser.add_argument("-W", "--image-width", help="image width",
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type=int,
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default=_get_env_int_value("IMAGE_WIDTH", 126))
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parser.add_argument("--log", help="Log level",
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type=str,
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default="info",
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choices=["info", "debug"])
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parser.add_argument("--disable-disparity", action="store_true",
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help="enable disparity frame",
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default=False
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)
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parser.add_argument("--stereo-mode-lr-check",
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help="remove incorrectly calculated disparity pixels due to occlusions at object borders",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-mode-extended-disparity",
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help="allows detecting closer distance objects for the given baseline. This increases the maximum disparity search from 96 to 191, meaning the range is now: [0..190]",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-mode-subpixel",
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help="iimproves the precision and is especially useful for long range measurements",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-post-processing-median-filter",
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help="enable post-processing median filter",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-post-processing-median-value",
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help="Median filter config ",
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type=str,
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choices=["MEDIAN_OFF", "KERNEL_3x3", "KERNEL_5x5", "KERNEL_7x7"],
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default="KERNEL_7x7",
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)
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parser.add_argument("--stereo-post-processing-speckle-filter",
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help="enable post-processing speckle filter",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-post-processing-speckle-enable",
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help="enable post-processing speckle filter",
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type=bool, default=False
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)
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parser.add_argument("--stereo-post-processing-speckle-range",
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help="Speckle search range",
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type=int, default=50
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)
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parser.add_argument("--stereo-post-processing-temporal-filter",
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help="enable post-processing temporal filter",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-post-processing-temporal-persistency-mode",
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help="Persistency mode.",
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type=str, default="VALID_2_IN_LAST_4",
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choices=["PERSISTENCY_OFF", "VALID_8_OUT_OF_8", "VALID_2_IN_LAST_3", "VALID_2_IN_LAST_4",
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"VALID_2_OUT_OF_8", "VALID_1_IN_LAST_2", "VALID_1_IN_LAST_5", "VALID_1_IN_LAST_8",
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"PERSISTENCY_INDEFINITELY"]
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)
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parser.add_argument("--stereo-post-processing-temporal-alpha",
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help="The Alpha factor in an exponential moving average with Alpha=1 - no filter. "
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"Alpha = 0 - infinite filter. Determines the extent of the temporal history that should be "
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"averaged. ",
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type=float, default=0.4,
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)
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parser.add_argument("--stereo-post-processing-temporal-delta",
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help="Step-size boundary. Establishes the threshold used to preserve surfaces (edges). "
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"If the disparity value between neighboring pixels exceed the disparity threshold set by "
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"this delta parameter, then filtering will be temporarily disabled. Default value 0 means "
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"auto: 3 disparity integer levels. In case of subpixel mode it’s 3*number of subpixel "
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"levels.",
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type=int, default=0,
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)
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parser.add_argument("--stereo-post-processing-spatial-filter",
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help="enable post-processing spatial filter",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-post-processing-spatial-enable",
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help="Whether to enable or disable the filter",
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type=bool, default=False,
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)
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parser.add_argument("--stereo-post-processing-spatial-hole-filling-radius",
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help="An in-place heuristic symmetric hole-filling mode applied horizontally during the filter passes",
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type=int, default=2,
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)
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parser.add_argument("--stereo-post-processing-spatial-alpha",
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help="The Alpha factor in an exponential moving average with Alpha=1 - no filter. Alpha = 0 - infinite filter",
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type=float, default=0.5,
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)
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parser.add_argument("--stereo-post-processing-spatial-delta",
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help="Step-size boundary. Establishes the threshold used to preserve edges",
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type=int, default=0,
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)
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parser.add_argument("--stereo-post-processing-spatial-num-iterations",
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help="Number of iterations over the image in both horizontal and vertical direction",
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type=int, default=1,
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)
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parser.add_argument("--stereo-post-processing-threshold-filter",
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help="enable post-processing threshold filter",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-post-processing-threshold-min-range",
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help="Minimum range in depth units. Depth values under this value are invalidated",
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type=int, default=500,
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)
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parser.add_argument("--stereo-post-processing-threshold-max-range",
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help="Maximum range in depth units. Depth values over this value are invalidated.",
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type=int, default=15000,
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)
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parser.add_argument("--stereo-post-processing-decimation-filter",
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help="enable post-processing decimation filter",
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default=False, action="store_true"
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)
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parser.add_argument("--stereo-post-processing-decimation-decimal-factor",
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help="Decimation factor",
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type=int, default=1, choices=[1, 2, 3, 4]
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)
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parser.add_argument("--stereo-post-processing-decimation-mode",
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help="Decimation algorithm type",
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type=str, default="PIXEL_SKIPPING",
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choices=["PIXEL_SKIPPING", "NON_ZERO_MEDIAN", "NON_ZERO_MEAN"]
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)
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args = parser.parse_args()
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return args
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def _init_mqtt_client(broker_host: str, broker_port: int, user: str, password: str, client_id: str) -> mqtt.Client:
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logger.info("Start part.py-robocar-oak-camera")
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client = mqtt.Client(client_id=client_id, clean_session=True, userdata=None, protocol=mqtt.MQTTv311)
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client.username_pw_set(user, password)
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logger.info("Connect to mqtt broker %s", broker_host)
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client.connect(host=broker_host, port=broker_port, keepalive=60)
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logger.info("Connected to mqtt broker")
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return client
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def execute_from_command_line() -> None:
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"""
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Cli entrypoint
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:return:
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"""
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args = _parse_args_cli()
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if args.log == "info":
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logging.basicConfig(level=logging.INFO)
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elif args.log == "debug":
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logging.basicConfig(level=logging.DEBUG)
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client = _init_mqtt_client(broker_host=args.mqtt_broker_host,
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broker_port=args.mqtt_broker_port,
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user=args.mqtt_username,
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password=args.mqtt_password,
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client_id=args.mqtt_client_id,
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)
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frame_processor = cam.FrameProcessor(mqtt_client=client, frame_topic=args.mqtt_topic_robocar_oak_camera)
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object_processor = cam.ObjectProcessor(mqtt_client=client,
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objects_topic=args.mqtt_topic_robocar_objects,
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objects_threshold=args.objects_threshold)
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if args.disable_disparity == False:
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depth_source = cam.DepthSource(pipeline=pipeline,
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extended_disparity=args.stereo_mode_extended_disparity,
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subpixel=args.stereo_mode_subpixel,
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lr_check=args.stereo_mode_lr_check,
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stereo_filters=stereo_filters),
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disparity_processor = cam.DisparityProcessor(mqtt_client=client, disparity_topic=args.mqtt_topic_robocar_disparity)
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else:
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disparity_processor = None
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depth_source = None
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pipeline = dai.Pipeline()
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if args.camera_tuning_exposition == CAMERA_EXPOSITION_500US:
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pipeline.setCameraTuningBlobPath('/camera_tuning/tuning_exp_limit_500us.bin')
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elif args.camera_tuning_exposition == CAMERA_EXPOSITION_8300US:
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pipeline.setCameraTuningBlobPath('/camera_tuning/tuning_exp_limit_8300us.bin')
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stereo_filters = _get_stereo_filters(args)
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pipeline_controller = cam.PipelineController(pipeline=pipeline,
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frame_processor=frame_processor,
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object_processor=object_processor,
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object_node=cam.ObjectDetectionNN(pipeline=pipeline),
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camera=cam.CameraSource(pipeline=pipeline,
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img_width=args.image_width,
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img_height=args.image_height,
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fps=args.camera_fps,
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),
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depth_source=depth_source,
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disparity_processor=disparity_processor)
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def sigterm_handler(signum: int, frame: typing.Optional[
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types.FrameType]) -> None: # pylint: disable=unused-argument # need to implement handler signature
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logger.info("exit on SIGTERM")
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pipeline_controller.stop()
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signal.signal(signal.SIGTERM, sigterm_handler)
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pipeline_controller.run()
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def _get_env_value(env_var: str, default_value: str) -> str:
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if env_var in os.environ:
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return os.environ[env_var]
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return default_value
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def _get_env_int_value(env_var: str, default_value: int) -> int:
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value = _get_env_value(env_var, str(default_value))
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return int(value)
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def _get_env_float_value(env_var: str, default_value: float) -> float:
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value = _get_env_value(env_var, str(default_value))
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return float(value)
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def _get_stereo_filters(args: argparse.Namespace) -> List[StereoDepthPostFilter]:
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filters = []
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if args.stereo_post_processing_median_filter:
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if args.stereo_post_processing_median_value == "MEDIAN_OFF":
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value = dai.MedianFilter.MEDIAN_OFF
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elif args.stereo_post_processing_median_value == "KERNEL_3x3":
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value = dai.MedianFilter.KERNEL_3x3
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elif args.stereo_post_processing_median_value == "KERNEL_5x5":
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value = dai.MedianFilter.KERNEL_5x5
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elif args.stereo_post_processing_median_value == "KERNEL_7x7":
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value = dai.MedianFilter.KERNEL_7x7
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else:
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value = dai.MedianFilter.KERNEL_7x7
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filters.append(MedianFilter(value=value))
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if args.stereo_post_processing_speckle_filter:
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filters.append(SpeckleFilter(enable=args.stereo_post_processing_speckle_enable,
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speckle_range=args.stereo_post_processing_speckle_range))
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if args.stereo_post_processing_temporal_filter:
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if args.stereo_post_processing_temporal_persistency-mode == "PERSISTENCY_OFF":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.PERSISTENCY_OFF
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elif args.stereo_post_processing_temporal_persistency-mode == "VALID_8_OUT_OF_8":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_8_OUT_OF_8
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elif args.stereo_post_processing_temporal_persistency-mode == "VALID_2_IN_LAST_3":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_2_IN_LAST_3
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elif args.stereo_post_processing_temporal_persistency-mode == "VALID_2_IN_LAST_4":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_2_IN_LAST_4
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elif args.stereo_post_processing_temporal_persistency-mode == "VALID_2_OUT_OF_8":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_2_OUT_OF_8
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elif args.stereo_post_processing_temporal_persistency-mode == "VALID_1_IN_LAST_2":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_1_IN_LAST_2
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elif args.stereo_post_processing_temporal_persistency-mode == "VALID_1_IN_LAST_5":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_1_IN_LAST_5
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elif args.stereo_post_processing_temporal_persistency-mode == "VALID_1_IN_LAST_8":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_1_IN_LAST_8
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elif args.stereo_post_processing_temporal_persistency-mode == "PERSISTENCY_INDEFINITELY":
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.PERSISTENCY_INDEFINITELY
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else:
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mode=dai.RawStereoDepthConfig.PostProcessing.TemporalFilter.PersistencyMode.VALID_2_IN_LAST_4
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filters.append(TemporalFilter(
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enable=args.stereo_post_processing_temporal_enable,
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persistencyMode=mode,
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alpha=args.stereo_post_processing_temporal_alpha,
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delta=args.stereo_post_processing_temporal_delta
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))
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if args.stereo_post_processing_spatial_filter:
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filters.append(SpatialFilter(enable=args.stereo_post_processing_spatial_enable,
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hole_filling_radius=args.stereo_post_processing_spatial_hole_filling_radius,
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alpha=args.stereo_post_processing_spatial_alpha,
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delta=args.stereo_post_processing_spatial_delta,
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num_iterations=args.stereo_post_processing_spatial_num_iterations,
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))
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if args.stereo_post_processing_threshold_filter:
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filters.append(ThresholdFilter(
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min_range=args.stereo_post_processing_threshold_min_range,
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max_range=args.stereo_post_processing_threshold_max_range,
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))
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if args.stereo_post_processing_decimation_filter:
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if args.stereo_post_processing_decimation_mode == "PIXEL_SKIPPING":
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mode=dai.RawStereoDepthConfig.PostProcessing.DecimationFilter.DecimationMode.PIXEL_SKIPPING
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if args.stereo_post_processing_decimation_mode == "NON_ZERO_MEDIAN":
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mode=dai.RawStereoDepthConfig.PostProcessing.DecimationFilter.DecimationMode.NON_ZERO_MEDIAN
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if args.stereo_post_processing_decimation_mode == "NON_ZERO_MEAN":
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mode=dai.RawStereoDepthConfig.PostProcessing.DecimationFilter.DecimationMode.NON_ZERO_MEAN
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else:
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mode=dai.RawStereoDepthConfig.PostProcessing.DecimationFilter.DecimationMode.PIXEL_SKIPPING
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filters.append(DecimationFilter(
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decimation_factor=args.stereo_post_processing_decimation_decimal_factor,
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mode=mode
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))
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return filters
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if __name__ == '__main__':
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execute_from_command_line() |