Added MPPObjectDetector
This commit is contained in:
parent
b01b3b84c4
commit
30341024de
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@ -36,3 +36,27 @@ objc_library(
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"//mediapipe/tasks/ios/vision/core:MPPRunningMode",
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],
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)
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objc_library(
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name = "MPPObjectDetector",
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srcs = ["sources/MPPObjectDetector.mm"],
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hdrs = ["sources/MPPObjectDetector.h"],
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copts = [
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"-ObjC++",
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"-std=c++17",
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"-x objective-c++",
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],
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deps = [
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":MPPObjectDetectorOptions",
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":MPPObjectDetectionResult",
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"//mediapipe/tasks/cc/vision/object_detector:object_detector_graph",
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"//mediapipe/tasks/ios/common/utils:MPPCommonUtils",
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"//mediapipe/tasks/ios/common/utils:NSStringHelpers",
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"//mediapipe/tasks/ios/core:MPPTaskInfo",
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"//mediapipe/tasks/ios/vision/core:MPPImage",
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"//mediapipe/tasks/ios/vision/core:MPPVisionPacketCreator",
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"//mediapipe/tasks/ios/vision/core:MPPVisionTaskRunner",
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"//mediapipe/tasks/ios/vision/object_detector/utils:MPPObjectDetectorOptionsHelpers",
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"//mediapipe/tasks/ios/vision/object_detector/utils:MPPObjectDetectionResultHelpers",
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],
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)
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@ -0,0 +1,242 @@
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// Copyright 2023 The MediaPipe Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#import <Foundation/Foundation.h>
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#import "mediapipe/tasks/ios/vision/core/sources/MPPImage.h"
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#import "mediapipe/tasks/ios/vision/object_detector/sources/MPPObjectDetectionResult.h"
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#import "mediapipe/tasks/ios/vision/object_detector/sources/MPPObjectDetectorOptions.h"
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NS_ASSUME_NONNULL_BEGIN
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/**
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* @brief Class that performs object detection on images.
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*
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* The API expects a TFLite model with mandatory TFLite Model Metadata.
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*
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* The API supports models with one image input tensor and one or more output tensors. To be more
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* specific, here are the requirements.
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*
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* Input tensor
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* (kTfLiteUInt8/kTfLiteFloat32)
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* - image input of size `[batch x height x width x channels]`.
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* - batch inference is not supported (`batch` is required to be 1).
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* - only RGB inputs are supported (`channels` is required to be 3).
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* - if type is kTfLiteFloat32, NormalizationOptions are required to be attached to the metadata
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* for input normalization.
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*
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* Output tensors must be the 4 outputs of a `DetectionPostProcess` op, i.e:(kTfLiteFloat32)
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* (kTfLiteUInt8/kTfLiteFloat32)
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* - locations tensor of size `[num_results x 4]`, the inner array representing bounding boxes
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* in the form [top, left, right, bottom].
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* - BoundingBoxProperties are required to be attached to the metadata and must specify
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* type=BOUNDARIES and coordinate_type=RATIO.
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* (kTfLiteFloat32)
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* - classes tensor of size `[num_results]`, each value representing the integer index of a
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* class.
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* - optional (but recommended) label map(s) can be attached asAssociatedFile-s with type
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* TENSOR_VALUE_LABELS, containing one label per line. The first such AssociatedFile (if any) is
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* used to fill the `class_name` field of the results. The `display_name` field is filled from
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* the AssociatedFile (if any) whose locale matches the `display_names_locale` field of the
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* `ObjectDetectorOptions` used at creation time ("en" by default, i.e. English). If none of
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* these are available, only the `index` field of the results will be filled.
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* (kTfLiteFloat32)
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* - scores tensor of size `[num_results]`, each value representing the score of the detected
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* object.
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* - optional score calibration can be attached using ScoreCalibrationOptions and an
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* AssociatedFile with type TENSOR_AXIS_SCORE_CALIBRATION. See metadata_schema.fbs [1] for more
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* details.
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* (kTfLiteFloat32)
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* - integer num_results as a tensor of size `[1]`
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*/
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NS_SWIFT_NAME(ObjectDetector)
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@interface MPPObjectDetector : NSObject
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/**
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* Creates a new instance of `MPPObjectDetector` from an absolute path to a TensorFlow Lite model
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* file stored locally on the device and the default `MPPObjectDetector`.
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*
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* @param modelPath An absolute path to a TensorFlow Lite model file stored locally on the device.
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* @param error An optional error parameter populated when there is an error in initializing the
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* object detector.
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*
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* @return A new instance of `MPPObjectDetector` with the given model path. `nil` if there is an
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* error in initializing the object detector.
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*/
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- (nullable instancetype)initWithModelPath:(NSString *)modelPath error:(NSError **)error;
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/**
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* Creates a new instance of `MPPObjectDetector` from the given `MPPObjectDetectorOptions`.
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*
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* @param options The options of type `MPPObjectDetectorOptions` to use for configuring the
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* `MPPImageClassifMPPObjectDetectorier`.
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* @param error An optional error parameter populated when there is an error in initializing the
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* object detector.
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*
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* @return A new instance of `MPPObjectDetector` with the given options. `nil` if there is an error
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* in initializing the object detector.
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*/
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- (nullable instancetype)initWithOptions:(MPPObjectDetectorOptions *)options
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error:(NSError **)error NS_DESIGNATED_INITIALIZER;
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/**
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* Performs object detection on the provided MPPImage using the whole image as region of
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* interest. Rotation will be applied according to the `orientation` property of the provided
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* `MPPImage`. Only use this method when the `MPPObjectDetector` is created with
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* `MPPRunningModeImage`.
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*
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* @param image The `MPPImage` on which object detection is to be performed.
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* @param error An optional error parameter populated when there is an error in performing object
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* detection on the input image.
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*
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* @return An `MPPObjectDetectionResult` object that contains a list of detections, each detection
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* has a bounding box that is expressed in the unrotated input frame of reference coordinates
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* system, i.e. in `[0,image_width) x [0,image_height)`, which are the dimensions of the underlying
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* image data.
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*/
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- (nullable MPPObjectDetectionResult *)detectInImage:(MPPImage *)image
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error:(NSError **)error
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NS_SWIFT_NAME(detect(image:));
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/**
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* Performs object detectionon the provided `MPPImage` cropped to the specified region of
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* interest. Rotation will be applied on the cropped image according to the `orientation` property
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* of the provided `MPPImage`. Only use this method when the `MPPObjectDetector` is created with
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* `MPPRunningModeImage`.
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*
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* @param image The `MPPImage` on which object detection is to be performed.
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* @param roi A `CGRect` specifying the region of interest within the given `MPPImage`, on which
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* object detection should be performed.
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* @param error An optional error parameter populated when there is an error in performing object
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* detection on the input image.
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*
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* @return An `MPPObjectDetectionResult` object that contains a list of detections, each detection
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* has a bounding box that is expressed in the unrotated input frame of reference coordinates
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* system, i.e. in `[0,image_width) x [0,image_height)`, which are the dimensions of the underlying
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* image data.
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*/
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- (nullable MPPObjectDetectionResult *)detectInImage:(MPPImage *)image
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regionOfInterest:(CGRect)roi
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error:(NSError **)error
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NS_SWIFT_NAME(detect(image:regionOfInterest:));
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/**
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* Performs object detection on the provided video frame of type `MPPImage` using the whole
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* image as region of interest. Rotation will be applied according to the `orientation` property of
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* the provided `MPPImage`. Only use this method when the `MPPObjectDetector` is created with
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* `MPPRunningModeVideo`.
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*
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* @param image The `MPPImage` on which object detection is to be performed.
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* @param timestampMs The video frame's timestamp (in milliseconds). The input timestamps must be
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* monotonically increasing.
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* @param error An optional error parameter populated when there is an error in performing object
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* detection on the input image.
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*
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* @return An `MPPObjectDetectionResult` object that contains a list of detections, each detection
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* has a bounding box that is expressed in the unrotated input frame of reference coordinates
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* system, i.e. in `[0,image_width) x [0,image_height)`, which are the dimensions of the underlying
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* image data.
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*/
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- (nullable MPPObjectDetectionResult *)detectInVideoFrame:(MPPImage *)image
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timestampMs:(NSInteger)timestampMs
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error:(NSError **)error
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NS_SWIFT_NAME(detect(videoFrame:timestampMs:));
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/**
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* Performs object detection on the provided video frame of type `MPPImage` cropped to the
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* specified region of interest. Rotation will be applied according to the `orientation` property of
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* the provided `MPPImage`. Only use this method when the `MPPObjectDetector` is created with
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* `MPPRunningModeVideo`.
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*
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* It's required to provide the video frame's timestamp (in milliseconds). The input timestamps must
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* be monotonically increasing.
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*
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* @param image A live stream image data of type `MPPImage` on which object detection is to be
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* performed.
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* @param timestampMs The video frame's timestamp (in milliseconds). The input timestamps must be
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* monotonically increasing.
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* @param roi A `CGRect` specifying the region of interest within the given `MPPImage`, on which
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* object detection should be performed.
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*
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* @param error An optional error parameter populated when there is an error in performing object
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* detection on the input image.
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*
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* @return An `MPPObjectDetectionResult` object that contains a list of detections, each detection
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* has a bounding box that is expressed in the unrotated input frame of reference coordinates
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* system, i.e. in `[0,image_width) x [0,image_height)`, which are the dimensions of the underlying
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* image data.
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*/
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- (nullable MPPObjectDetectionResult *)detectInVideoFrame:(MPPImage *)image
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timestampMs:(NSInteger)timestampMs
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regionOfInterest:(CGRect)roi
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error:(NSError **)error
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NS_SWIFT_NAME(detect(videoFrame:timestampMs:regionOfInterest:));
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/**
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* Sends live stream image data of type `MPPImage` to perform object detection using the whole
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* image as region of interest. Rotation will be applied according to the `orientation` property of
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* the provided `MPPImage`. Only use this method when the `MPPObjectDetector` is created with
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* `MPPRunningModeLiveStream`. Results are provided asynchronously via the `completion` callback
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* provided in the `MPPObjectDetectorOptions`.
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*
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* It's required to provide a timestamp (in milliseconds) to indicate when the input image is sent
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* to the object detector. The input timestamps must be monotonically increasing.
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*
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* @param image A live stream image data of type `MPPImage` on which object detection is to be
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* performed.
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* @param timestampMs The timestamp (in milliseconds) which indicates when the input image is sent
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* to the object detector. The input timestamps must be monotonically increasing.
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* @param error An optional error parameter populated when there is an error in performing object
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* detection on the input live stream image data.
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*
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* @return `YES` if the image was sent to the task successfully, otherwise `NO`.
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*/
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- (BOOL)detectAsyncInImage:(MPPImage *)image
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timestampMs:(NSInteger)timestampMs
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error:(NSError **)error NS_SWIFT_NAME(detectAsync(image:timestampMs:));
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/**
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* Sends live stream image data of type `MPPImage` to perform object detection, cropped to the
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* specified region of interest. Rotation will be applied according to the `orientation` property
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* of the provided `MPPImage`. Only use this method when the `MPPObjectDetector` is created with
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* `MPPRunningModeLiveStream`. Results are provided asynchronously via the `completion` callback
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* provided in the `MPPObjectDetectorOptions`.
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*
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* It's required to provide a timestamp (in milliseconds) to indicate when the input image is sent
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* to the object detector. The input timestamps must be monotonically increasing.
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*
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* @param image A live stream image data of type `MPPImage` on which object detection is to be
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* performed.
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* @param timestampMs The timestamp (in milliseconds) which indicates when the input image is sent
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* to the object detector. The input timestamps must be monotonically increasing.
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* @param roi A `CGRect` specifying the region of interest within the given live stream image data
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* of type `MPPImage`, on which iobject detection should be performed.
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* @param error An optional error parameter populated when there is an error in performing object
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* detection on the input live stream image data.
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*
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* @return `YES` if the image was sent to the task successfully, otherwise `NO`.
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*/
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- (BOOL)detectAsyncInImage:(MPPImage *)image
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timestampMs:(NSInteger)timestampMs
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regionOfInterest:(CGRect)roi
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error:(NSError **)error
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NS_SWIFT_NAME(detectAsync(image:timestampMs:regionOfInterest:));
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- (instancetype)init NS_UNAVAILABLE;
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+ (instancetype)new NS_UNAVAILABLE;
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@end
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NS_ASSUME_NONNULL_END
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@ -0,0 +1,247 @@
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// Copyright 2023 The MediaPipe Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#import "mediapipe/tasks/ios/vision/object_detector/sources/MPPObjectDetector.h"
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#import "mediapipe/tasks/ios/common/utils/sources/MPPCommonUtils.h"
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#import "mediapipe/tasks/ios/common/utils/sources/NSString+Helpers.h"
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#import "mediapipe/tasks/ios/core/sources/MPPTaskInfo.h"
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#import "mediapipe/tasks/ios/vision/core/sources/MPPVisionPacketCreator.h"
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#import "mediapipe/tasks/ios/vision/core/sources/MPPVisionTaskRunner.h"
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#import "mediapipe/tasks/ios/vision/object_detector/utils/sources/MPPObjectDetectionResult+Helpers.h"
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#import "mediapipe/tasks/ios/vision/object_detector/utils/sources/MPPObjectDetectorOptions+Helpers.h"
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namespace {
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using ::mediapipe::NormalizedRect;
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using ::mediapipe::Packet;
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using ::mediapipe::Timestamp;
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using ::mediapipe::tasks::core::PacketMap;
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using ::mediapipe::tasks::core::PacketsCallback;
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} // namespace
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static NSString *const kDetectionsStreamName = @"detections_out";
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static NSString *const kDetectionsTag = @"DETECTIONS";
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static NSString *const kImageInStreamName = @"image_in";
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static NSString *const kImageOutStreamName = @"image_out";
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static NSString *const kImageTag = @"IMAGE";
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static NSString *const kNormRectStreamName = @"norm_rect_in";
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static NSString *const kNormRectTag = @"NORM_RECT";
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static NSString *const kTaskGraphName = @"mediapipe.tasks.vision.ObjectDetectorGraph";
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#define InputPacketMap(imagePacket, normalizedRectPacket) \
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{ \
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{kImageInStreamName.cppString, imagePacket}, { \
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kNormRectStreamName.cppString, normalizedRectPacket \
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} \
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}
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@interface MPPObjectDetector () {
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/** iOS Vision Task Runner */
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MPPVisionTaskRunner *_visionTaskRunner;
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}
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@end
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@implementation MPPObjectDetector
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- (instancetype)initWithOptions:(MPPObjectDetectorOptions *)options error:(NSError **)error {
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self = [super init];
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if (self) {
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MPPTaskInfo *taskInfo = [[MPPTaskInfo alloc]
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initWithTaskGraphName:kTaskGraphName
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inputStreams:@[
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[NSString stringWithFormat:@"%@:%@", kImageTag, kImageInStreamName],
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[NSString stringWithFormat:@"%@:%@", kNormRectTag, kNormRectStreamName]
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]
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outputStreams:@[
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[NSString stringWithFormat:@"%@:%@", kDetectionsTag, kDetectionsStreamName],
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[NSString stringWithFormat:@"%@:%@", kImageTag, kImageOutStreamName]
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]
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taskOptions:options
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enableFlowLimiting:options.runningMode == MPPRunningModeLiveStream
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error:error];
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if (!taskInfo) {
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return nil;
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}
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PacketsCallback packetsCallback = nullptr;
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if (options.completion) {
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packetsCallback = [=](absl::StatusOr<PacketMap> status_or_packets) {
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NSError *callbackError = nil;
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if (![MPPCommonUtils checkCppError:status_or_packets.status() toError:&callbackError]) {
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options.completion(nil, Timestamp::Unset().Value(), callbackError);
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return;
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}
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PacketMap &outputPacketMap = status_or_packets.value();
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if (outputPacketMap[kImageOutStreamName.cppString].IsEmpty()) {
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return;
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}
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MPPObjectDetectionResult *result = [MPPObjectDetectionResult
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objectDetectionResultWithDetectionsPacket:status_or_packets.value()
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[kDetectionsStreamName.cppString]];
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options.completion(result,
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outputPacketMap[kImageOutStreamName.cppString].Timestamp().Value() /
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kMicroSecondsPerMilliSecond,
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callbackError);
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};
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}
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_visionTaskRunner =
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[[MPPVisionTaskRunner alloc] initWithCalculatorGraphConfig:[taskInfo generateGraphConfig]
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runningMode:options.runningMode
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packetsCallback:std::move(packetsCallback)
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error:error];
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if (!_visionTaskRunner) {
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return nil;
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}
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}
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return self;
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}
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- (instancetype)initWithModelPath:(NSString *)modelPath error:(NSError **)error {
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MPPObjectDetectorOptions *options = [[MPPObjectDetectorOptions alloc] init];
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options.baseOptions.modelAssetPath = modelPath;
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return [self initWithOptions:options error:error];
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}
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- (nullable MPPObjectDetectionResult *)detectInImage:(MPPImage *)image
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regionOfInterest:(CGRect)roi
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error:(NSError **)error {
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std::optional<NormalizedRect> rect =
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[_visionTaskRunner normalizedRectFromRegionOfInterest:roi
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imageOrientation:image.orientation
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ROIAllowed:YES
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error:error];
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if (!rect.has_value()) {
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return nil;
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}
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|
||||
Packet imagePacket = [MPPVisionPacketCreator createPacketWithMPPImage:image error:error];
|
||||
if (imagePacket.IsEmpty()) {
|
||||
return nil;
|
||||
}
|
||||
|
||||
Packet normalizedRectPacket =
|
||||
[MPPVisionPacketCreator createPacketWithNormalizedRect:rect.value()];
|
||||
|
||||
PacketMap inputPacketMap = InputPacketMap(imagePacket, normalizedRectPacket);
|
||||
|
||||
std::optional<PacketMap> outputPacketMap = [_visionTaskRunner processImagePacketMap:inputPacketMap
|
||||
error:error];
|
||||
if (!outputPacketMap.has_value()) {
|
||||
return nil;
|
||||
}
|
||||
|
||||
return [MPPObjectDetectionResult
|
||||
objectDetectionResultWithDetectionsPacket:outputPacketMap
|
||||
.value()[kDetectionsStreamName.cppString]];
|
||||
}
|
||||
|
||||
- (std::optional<PacketMap>)inputPacketMapWithMPPImage:(MPPImage *)image
|
||||
timestampMs:(NSInteger)timestampMs
|
||||
regionOfInterest:(CGRect)roi
|
||||
error:(NSError **)error {
|
||||
std::optional<NormalizedRect> rect =
|
||||
[_visionTaskRunner normalizedRectFromRegionOfInterest:roi
|
||||
imageOrientation:image.orientation
|
||||
ROIAllowed:YES
|
||||
error:error];
|
||||
if (!rect.has_value()) {
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
Packet imagePacket = [MPPVisionPacketCreator createPacketWithMPPImage:image
|
||||
timestampMs:timestampMs
|
||||
error:error];
|
||||
if (imagePacket.IsEmpty()) {
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
Packet normalizedRectPacket = [MPPVisionPacketCreator createPacketWithNormalizedRect:rect.value()
|
||||
timestampMs:timestampMs];
|
||||
|
||||
PacketMap inputPacketMap = InputPacketMap(imagePacket, normalizedRectPacket);
|
||||
return inputPacketMap;
|
||||
}
|
||||
|
||||
- (nullable MPPObjectDetectionResult *)detectInImage:(MPPImage *)image error:(NSError **)error {
|
||||
return [self detectInImage:image regionOfInterest:CGRectZero error:error];
|
||||
}
|
||||
|
||||
- (nullable MPPObjectDetectionResult *)detectInVideoFrame:(MPPImage *)image
|
||||
timestampMs:(NSInteger)timestampMs
|
||||
regionOfInterest:(CGRect)roi
|
||||
error:(NSError **)error {
|
||||
std::optional<PacketMap> inputPacketMap = [self inputPacketMapWithMPPImage:image
|
||||
timestampMs:timestampMs
|
||||
regionOfInterest:roi
|
||||
error:error];
|
||||
if (!inputPacketMap.has_value()) {
|
||||
return nil;
|
||||
}
|
||||
|
||||
std::optional<PacketMap> outputPacketMap =
|
||||
[_visionTaskRunner processVideoFramePacketMap:inputPacketMap.value() error:error];
|
||||
|
||||
if (!outputPacketMap.has_value()) {
|
||||
return nil;
|
||||
}
|
||||
|
||||
return [MPPObjectDetectionResult
|
||||
objectDetectionResultWithDetectionsPacket:outputPacketMap
|
||||
.value()[kDetectionsStreamName.cppString]];
|
||||
}
|
||||
|
||||
- (nullable MPPObjectDetectionResult *)detectInVideoFrame:(MPPImage *)image
|
||||
timestampMs:(NSInteger)timestampMs
|
||||
error:(NSError **)error {
|
||||
return [self detectInVideoFrame:image
|
||||
timestampMs:timestampMs
|
||||
regionOfInterest:CGRectZero
|
||||
error:error];
|
||||
}
|
||||
|
||||
- (BOOL)detectAsyncInImage:(MPPImage *)image
|
||||
timestampMs:(NSInteger)timestampMs
|
||||
regionOfInterest:(CGRect)roi
|
||||
error:(NSError **)error {
|
||||
std::optional<PacketMap> inputPacketMap = [self inputPacketMapWithMPPImage:image
|
||||
timestampMs:timestampMs
|
||||
regionOfInterest:roi
|
||||
error:error];
|
||||
if (!inputPacketMap.has_value()) {
|
||||
return NO;
|
||||
}
|
||||
|
||||
return [_visionTaskRunner processLiveStreamPacketMap:inputPacketMap.value() error:error];
|
||||
}
|
||||
|
||||
- (BOOL)detectAsyncInImage:(MPPImage *)image
|
||||
timestampMs:(NSInteger)timestampMs
|
||||
error:(NSError **)error {
|
||||
return [self detectAsyncInImage:image
|
||||
timestampMs:timestampMs
|
||||
regionOfInterest:CGRectZero
|
||||
error:error];
|
||||
}
|
||||
|
||||
@end
|
Loading…
Reference in New Issue
Block a user