Cloud Video Intelligence V1 API - Class Google::Cloud::VideoIntelligence::V1::LabelDetectionConfig (v1.0.0)

Version 1.0.0

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Reference documentation and code samples for the Cloud Video Intelligence V1 API class Google::Cloud::VideoIntelligence::V1::LabelDetectionConfig.

Config for LABEL_DETECTION.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#frame_confidence_threshold

def frame_confidence_threshold() -> ::Float

Returns

• (::Float) — The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

#frame_confidence_threshold=

def frame_confidence_threshold=(value) -> ::Float

Parameter

• value (::Float) — The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

Returns

• (::Float) — The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

#label_detection_mode

def label_detection_mode() -> ::Google::Cloud::VideoIntelligence::V1::LabelDetectionMode

Returns

• (::Google::Cloud::VideoIntelligence::V1::LabelDetectionMode) — What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

#label_detection_mode=

def label_detection_mode=(value) -> ::Google::Cloud::VideoIntelligence::V1::LabelDetectionMode

Parameter

• value (::Google::Cloud::VideoIntelligence::V1::LabelDetectionMode) — What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

Returns

• (::Google::Cloud::VideoIntelligence::V1::LabelDetectionMode) — What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

#model

def model() -> ::String

Returns

• (::String) — Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

#model=

def model=(value) -> ::String

Parameter

• value (::String) — Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

Returns

• (::String) — Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

#stationary_camera

def stationary_camera() -> ::Boolean

Returns

• (::Boolean) — Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.

#stationary_camera=

def stationary_camera=(value) -> ::Boolean

Parameter

• value (::Boolean) — Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.

Returns

• (::Boolean) — Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.

#video_confidence_threshold

def video_confidence_threshold() -> ::Float

Returns

• (::Float) — The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

#video_confidence_threshold=

def video_confidence_threshold=(value) -> ::Float

Parameter

• value (::Float) — The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

Returns

• (::Float) — The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.