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Add more vehicle types to default attribute map (#24097)
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* run lpr on more vehicle types by default before, a config change to attribute_map was required * logging tweaks * remove arg * use attributes for frontend check * docs * only check thumbnail attributes the object can have
This commit is contained in:
@@ -60,6 +60,11 @@ class CameraState:
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# face/LPR pipelines when using a model without built-in detection.
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self.face_recognition_min_obj_area: int = 0
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self.lpr_min_obj_area: int = 0
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self.lp_objects = {
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label
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for label, attributes in config.model.attributes_map.items()
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if "license_plate" in attributes
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}
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if (
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self.camera_config.face_recognition.enabled
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@@ -452,7 +457,7 @@ class CameraState:
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and obj_area >= self.face_recognition_min_obj_area
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and updated_obj.obj_data.get("sub_label") is None
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) or (
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obj_label in ("car", "motorcycle")
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obj_label in self.lp_objects
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and self.lpr_min_obj_area > 0
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and obj_area >= self.lpr_min_obj_area
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and updated_obj.obj_data.get("sub_label") is None
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@@ -548,7 +553,7 @@ class CameraState:
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current_best.thumbnail_data is not None
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and obj.thumbnail_data is not None
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and is_better_thumbnail(
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object_type,
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obj.thumbnail_attributes,
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current_best.thumbnail_data,
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obj.thumbnail_data,
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self.camera_config.frame_shape,
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@@ -44,7 +44,11 @@ DEFAULT_ATTRIBUTE_LABEL_MAP = {
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"ups",
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"usps",
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],
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"truck": ["license_plate"],
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"garbage_truck": ["license_plate"],
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"motorcycle": ["license_plate"],
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"bus": ["license_plate"],
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"school_bus": ["license_plate"],
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}
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ATTRIBUTE_LABEL_DISPLAY_MAP = {
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"amazon": "Amazon",
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@@ -1290,7 +1290,7 @@ class LicensePlateProcessingMixin:
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and obj_data.get("label") != "license_plate"
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):
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logger.debug(
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f"{camera}: Not a processing license plate for non car/motorcycle object."
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f"{camera}: Not a processing license plate for {obj_data.get('label', 'unknown')}."
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)
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return
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@@ -1367,7 +1367,7 @@ class LicensePlateProcessingMixin:
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if not license_plate:
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logger.debug(
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f"{camera}: Detected no license plates for car/motorcycle object."
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f"{camera}: Detected no license plates for {obj_data.get('label', 'unknown')} object."
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)
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return
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@@ -54,6 +54,11 @@ class TrackedObject:
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self.obj_data = obj_data
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self.colormap = model_config.colormap
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self.logos = model_config.all_attribute_logos
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self.thumbnail_attributes = [
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attr
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for attr in model_config.attributes_map.get(obj_data["label"], [])
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if attr in model_config.non_logo_attributes
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]
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self.camera_config = camera_config
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self.ui_config = ui_config
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self.frame_cache = frame_cache
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@@ -149,7 +154,7 @@ class TrackedObject:
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if not self.false_positive and has_valid_frame:
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# determine if this frame is a better thumbnail
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if self.thumbnail_data is None or is_better_thumbnail(
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self.obj_data["label"],
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self.thumbnail_attributes,
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self.thumbnail_data,
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obj_data,
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self.camera_config.frame_shape,
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+5
-13
@@ -67,7 +67,7 @@ def has_better_attr(current_thumb, new_obj, attr_label) -> bool:
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def is_better_thumbnail(
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label: str,
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label_attributes: list[str],
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current_thumb: dict[str, Any],
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new_obj: dict[str, Any],
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frame_shape: tuple[int, int],
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@@ -76,20 +76,12 @@ def is_better_thumbnail(
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# cutoff images are less ideal, but they should also be smaller?
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# better scores are obviously better too
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# check face on person
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if label == "person":
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if has_better_attr(current_thumb, new_obj, "face"):
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for attr_label in label_attributes:
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if has_better_attr(current_thumb, new_obj, attr_label):
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return True
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# if the current thumb has a face attr, dont update unless it gets better
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if any([a["label"] == "face" for a in current_thumb["attributes"]]):
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return False
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# check license_plate on car
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if label in ["car", "motorcycle"]:
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if has_better_attr(current_thumb, new_obj, "license_plate"):
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return True
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# if the current thumb has a license_plate attr, dont update unless it gets better
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if any([a["label"] == "license_plate" for a in current_thumb["attributes"]]):
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# if the current thumb has the attr, dont update unless it gets better
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if any([a["label"] == attr_label for a in current_thumb["attributes"]]):
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return False
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# if the new_thumb is on an edge, and the current thumb is not
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+4
-14
@@ -216,20 +216,10 @@ def process_frames(
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# remove license_plate from attributes if this camera is a dedicated LPR cam
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if camera_config.type == CameraTypeEnum.lpr:
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modified_attributes_map = model_config.attributes_map.copy()
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if (
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"car" in modified_attributes_map
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and "license_plate" in modified_attributes_map["car"]
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):
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modified_attributes_map["car"] = [
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attr
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for attr in modified_attributes_map["car"]
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if attr != "license_plate"
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]
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attributes_map = modified_attributes_map
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attributes_map = {
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label: [attr for attr in attributes if attr != "license_plate"]
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for label, attributes in model_config.attributes_map.items()
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}
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all_attributes = [
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attr for attr in model_config.all_attributes if attr != "license_plate"
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]
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