def build(cls, config, global_config={}, global_mask=None, frame_shape=None) -> FilterConfig: raw_mask = [] if global_mask: if isinstance(global_mask, list): raw_mask += global_mask elif isinstance(global_mask, str): raw_mask += [global_mask] config_mask = config.get("mask") if config_mask: if isinstance(config_mask, list): raw_mask += config_mask elif isinstance(config_mask, str): raw_mask += [config_mask] mask = create_mask(frame_shape, raw_mask) if raw_mask else None return FilterConfig( min_area=config.get("min_area", global_config.get("min_area", 0)), max_area=config.get("max_area", global_config.get("max_area", 24000000)), threshold=config.get("threshold", global_config.get("threshold", 0.7)), min_score=config.get("min_score", global_config.get("min_score", 0.5)), mask=mask, raw_mask=raw_mask, )
def __init__(self, **config): mask = config.get("mask") config["raw_mask"] = mask if mask is not None: config["mask"] = create_mask(config.get("frame_shape", (1, 1)), mask) super().__init__(**config)
def __init__(self, global_config, config, frame_shape=None): self._min_area = config.get('min_area', global_config.get('min_area', 0)) self._max_area = config.get('max_area', global_config.get('max_area', 24000000)) self._threshold = config.get('threshold', global_config.get('threshold', 0.7)) self._min_score = config.get('min_score', global_config.get('min_score', 0.5)) self._raw_mask = config.get('mask') self._mask = create_mask(frame_shape, self._raw_mask) if self._raw_mask else None
def __init__(self, global_config, config, frame_shape): self._raw_mask = config.get('mask') if self._raw_mask: self._mask = create_mask(frame_shape, self._raw_mask) else: default_mask = np.zeros(frame_shape, np.uint8) default_mask[:] = 255 self._mask = default_mask self._threshold = config.get('threshold', global_config.get('threshold', 25)) self._contour_area = config.get('contour_area', global_config.get('contour_area', 100)) self._delta_alpha = config.get('delta_alpha', global_config.get('delta_alpha', 0.2)) self._frame_alpha = config.get('frame_alpha', global_config.get('frame_alpha', 0.2)) self._frame_height = config.get('frame_height', global_config.get('frame_height', frame_shape[0]//6))
def __init__(self, **config): frame_shape = config.get("frame_shape", (1, 1)) mask = config.get("mask", "") config["raw_mask"] = mask if mask: config["mask"] = create_mask(frame_shape, mask) else: empty_mask = np.zeros(frame_shape, np.uint8) empty_mask[:] = 255 config["mask"] = empty_mask super().__init__(**config)
def build(cls, config, global_config, frame_shape) -> MotionConfig: raw_mask = config.get("mask") if raw_mask: mask = create_mask(frame_shape, raw_mask) else: mask = np.zeros(frame_shape, np.uint8) mask[:] = 255 return MotionConfig( raw_mask, mask, config.get("threshold", global_config.get("threshold", 25)), config.get("contour_area", global_config.get("contour_area", 100)), config.get("delta_alpha", global_config.get("delta_alpha", 0.2)), config.get("frame_alpha", global_config.get("frame_alpha", 0.2)), config.get("frame_height", global_config.get("frame_height", frame_shape[0] // 6)), )
def __init__(self, global_config, config, global_mask=None, frame_shape=None): self._min_area = config.get('min_area', global_config.get('min_area', 0)) self._max_area = config.get('max_area', global_config.get('max_area', 24000000)) self._threshold = config.get('threshold', global_config.get('threshold', 0.7)) self._min_score = config.get('min_score', global_config.get('min_score', 0.5)) self._raw_mask = [] if global_mask: if isinstance(global_mask, list): self._raw_mask += global_mask elif isinstance(global_mask, str): self._raw_mask += [global_mask] mask = config.get('mask') if mask: if isinstance(mask, list): self._raw_mask += mask elif isinstance(mask, str): self._raw_mask += [mask] self._mask = create_mask(frame_shape, self._raw_mask) if self._raw_mask else None
def __init__(self, **config): frame_shape = config.get("frame_shape", (1, 1)) if "frame_height" not in config: config["frame_height"] = max(frame_shape[0] // 6, 180) if "contour_area" not in config: frame_width = frame_shape[1] * config[ "frame_height"] / frame_shape[0] config["contour_area"] = (config["frame_height"] * frame_width * 0.00173611111) mask = config.get("mask", "") config["raw_mask"] = mask if mask: config["mask"] = create_mask(frame_shape, mask) else: empty_mask = np.zeros(frame_shape, np.uint8) empty_mask[:] = 255 config["mask"] = empty_mask super().__init__(**config)