Added iOS Object Detector Objective D tests
This commit is contained in:
Prianka Liz Kariat
parent
adfe47d456
commit
a2bab54640
55
mediapipe/tasks/ios/test/vision/object_detector/BUILD
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55
mediapipe/tasks/ios/test/vision/object_detector/BUILD
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@ -0,0 +1,55 @@
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load("@build_bazel_rules_apple//apple:ios.bzl", "ios_unit_test")
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load(
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"//mediapipe/tasks:ios/ios.bzl",
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"MPP_TASK_MINIMUM_OS_VERSION",
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)
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load(
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"@org_tensorflow//tensorflow/lite:special_rules.bzl",
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"tflite_ios_lab_runner",
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)
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package(default_visibility = ["//mediapipe/tasks:internal"])
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licenses(["notice"])
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# Default tags for filtering iOS targets. Targets are restricted to Apple platforms.
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TFL_DEFAULT_TAGS = [
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"apple",
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]
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# Following sanitizer tests are not supported by iOS test targets.
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TFL_DISABLED_SANITIZER_TAGS = [
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"noasan",
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"nomsan",
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"notsan",
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]
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objc_library(
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name = "MPPObjectDetectorObjcTestLibrary",
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testonly = 1,
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srcs = ["MPPObjectDetectorTests.m"],
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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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data = [
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"//mediapipe/tasks/testdata/vision:test_images",
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"//mediapipe/tasks/testdata/vision:test_models",
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],
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deps = [
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"//mediapipe/tasks/ios/common:MPPCommon",
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"//mediapipe/tasks/ios/test/vision/utils:MPPImageTestUtils",
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"//mediapipe/tasks/ios/vision/object_detector:MPPObjectDetector",
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],
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)
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ios_unit_test(
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name = "MPPObjectDetectorObjcTest",
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minimum_os_version = MPP_TASK_MINIMUM_OS_VERSION,
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runner = tflite_ios_lab_runner("IOS_LATEST"),
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tags = TFL_DEFAULT_TAGS + TFL_DISABLED_SANITIZER_TAGS,
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deps = [
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":MPPObjectDetectorObjcTestLibrary",
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],
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)
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@ -0,0 +1,703 @@
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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 <XCTest/XCTest.h>
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#import "mediapipe/tasks/ios/common/sources/MPPCommon.h"
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#import "mediapipe/tasks/ios/test/vision/utils/sources/MPPImage+TestUtils.h"
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#import "mediapipe/tasks/ios/vision/object_detector/sources/MPPObjectDetector.h"
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static NSString *const kModelName = @"coco_ssd_mobilenet_v1_1.0_quant_2018_06_29";
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static NSDictionary *const kCatsAndDogsImage = @{@"name" : @"cats_and_dogs", @"type" : @"jpg"};
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static NSDictionary *const kCatsAndDogsRotatedImage =
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@{@"name" : @"cats_and_dogs_rotated", @"type" : @"jpg"};
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static NSString *const kExpectedErrorDomain = @"com.google.mediapipe.tasks";
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#define PixelDifferenceTolerance 5.0f
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#define ScoreDifferenceTolerance 1e-2f
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#define AssertEqualErrors(error, expectedError) \
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XCTAssertNotNil(error); \
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XCTAssertEqualObjects(error.domain, expectedError.domain); \
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XCTAssertEqual(error.code, expectedError.code); \
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XCTAssertNotEqual( \
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[error.localizedDescription rangeOfString:expectedError.localizedDescription].location, \
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NSNotFound)
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#define AssertEqualCategoryArrays(categories, expectedCategories, detectionIndex) \
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XCTAssertEqual(categories.count, expectedCategories.count); \
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for (int j = 0; j < categories.count; j++) { \
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XCTAssertEqual(categories[j].index, expectedCategories[j].index, \
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@"detection Index = %d category array index j = %d", detectionIndex, j); \
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XCTAssertEqualWithAccuracy( \
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categories[j].score, expectedCategories[j].score, ScoreDifferenceTolerance, \
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@"detection Index = %d, category array index j = %d", detectionIndex, j); \
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XCTAssertEqualObjects(categories[j].categoryName, expectedCategories[j].categoryName, \
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@"detection Index = %d, category array index j = %d", detectionIndex, \
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j); \
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XCTAssertEqualObjects(categories[j].displayName, expectedCategories[j].displayName, \
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@"detection Index = %d, category array index j = %d", detectionIndex, \
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j); \
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\
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\
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}
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#define AssertApproximatelyEqualBoundingBoxes(boundingBox, expectedBoundingBox, idx) \
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XCTAssertEqualWithAccuracy(boundingBox.origin.x, expectedBoundingBox.origin.x, \
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PixelDifferenceTolerance, @"index i = %d", idx); \
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XCTAssertEqualWithAccuracy(boundingBox.origin.y, expectedBoundingBox.origin.y, \
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PixelDifferenceTolerance, @"index i = %d", idx); \
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XCTAssertEqualWithAccuracy(boundingBox.size.width, expectedBoundingBox.size.width, \
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PixelDifferenceTolerance, @"index i = %d", idx); \
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XCTAssertEqualWithAccuracy(boundingBox.size.height, expectedBoundingBox.size.height, \
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PixelDifferenceTolerance, @"index i = %d", idx);
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#define AssertEqualDetections(detection, expectedDetection, idx) \
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XCTAssertNotNil(detection); \
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AssertEqualCategoryArrays(detection.categories, expectedDetection.categories, idx); \
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AssertApproximatelyEqualBoundingBoxes(detection.boundingBox, expectedDetection.boundingBox, idx);
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#define AssertEqualDetectionArrays(detections, expectedDetections) \
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XCTAssertEqual(detections.count, expectedDetections.count); \
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for (int i = 0; i < detections.count; i++) { \
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AssertEqualDetections(detections[i], expectedDetections[i], i); \
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}
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#define AssertEqualObjectDetectionResults(objectDetectionResult, expectedObjectDetectionResult, \
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expectedDetectionCount) \
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XCTAssertNotNil(objectDetectionResult); \
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NSArray<MPPDetection *> *detectionsSubsetToCompare; \
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XCTAssertEqual(objectDetectionResult.detections.count, expectedDetectionCount); \
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if (objectDetectionResult.detections.count > expectedObjectDetectionResult.detections.count) { \
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detectionsSubsetToCompare = [objectDetectionResult.detections \
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subarrayWithRange:NSMakeRange(0, expectedObjectDetectionResult.detections.count)]; \
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} else { \
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detectionsSubsetToCompare = objectDetectionResult.detections; \
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} \
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\
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AssertEqualDetectionArrays(detectionsSubsetToCompare, expectedObjectDetectionResult.detections); \
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XCTAssertEqual(objectDetectionResult.timestampMs, expectedObjectDetectionResult.timestampMs);
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@interface MPPObjectDetectorTests : XCTestCase
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@end
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@implementation MPPObjectDetectorTests
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#pragma mark Results
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+ (MPPObjectDetectionResult *)expectedDetectionResultForCatsAndDogsImageWithTimestampMs:
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(NSInteger)timestampMs {
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NSArray<MPPDetection *> *detections = @[
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[[MPPDetection alloc] initWithCategories:@[
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[[MPPCategory alloc] initWithIndex:-1 score:0.69921875f categoryName:@"cat" displayName:nil],
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]
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boundingBox:CGRectMake(608, 161, 381, 439)
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keypoints:nil],
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[[MPPDetection alloc] initWithCategories:@[
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[[MPPCategory alloc] initWithIndex:-1 score:0.656250f categoryName:@"cat" displayName:nil],
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]
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boundingBox:CGRectMake(57, 398, 392, 196)
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keypoints:nil],
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[[MPPDetection alloc] initWithCategories:@[
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[[MPPCategory alloc] initWithIndex:-1 score:0.51171875f categoryName:@"cat" displayName:nil],
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]
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boundingBox:CGRectMake(257, 395, 173, 202)
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keypoints:nil],
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[[MPPDetection alloc] initWithCategories:@[
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[[MPPCategory alloc] initWithIndex:-1 score:0.48828125f categoryName:@"cat" displayName:nil],
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]
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boundingBox:CGRectMake(363, 195, 330, 412)
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keypoints:nil],
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];
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return [[MPPObjectDetectionResult alloc] initWithDetections:detections timestampMs:timestampMs];
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}
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#pragma mark File
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- (NSString *)filePathWithName:(NSString *)fileName extension:(NSString *)extension {
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NSString *filePath = [[NSBundle bundleForClass:self.class] pathForResource:fileName
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ofType:extension];
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return filePath;
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}
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#pragma mark Object Detector Initializers
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- (MPPObjectDetectorOptions *)objectDetectorOptionsWithModelName:(NSString *)modelName {
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NSString *modelPath = [self filePathWithName:modelName extension:@"tflite"];
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MPPObjectDetectorOptions *objectDetectorOptions = [[MPPObjectDetectorOptions alloc] init];
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objectDetectorOptions.baseOptions.modelAssetPath = modelPath;
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return objectDetectorOptions;
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}
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- (void)assertCreateObjectDetectorWithOptions:(MPPObjectDetectorOptions *)objectDetectorOptions
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failsWithExpectedError:(NSError *)expectedError {
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NSError *error = nil;
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MPPObjectDetector *objectDetector =
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[[MPPObjectDetector alloc] initWithOptions:objectDetectorOptions error:&error];
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XCTAssertNil(objectDetector);
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AssertEqualErrors(error, expectedError);
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}
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- (MPPObjectDetector *)objectDetectorWithOptionsSucceeds:
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(MPPObjectDetectorOptions *)objectDetectorOptions {
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MPPObjectDetector *objectDetector =
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[[MPPObjectDetector alloc] initWithOptions:objectDetectorOptions error:nil];
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XCTAssertNotNil(objectDetector);
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return objectDetector;
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}
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#pragma mark Assert Detection Results
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- (MPPImage *)imageWithFileInfo:(NSDictionary *)fileInfo {
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MPPImage *image = [MPPImage imageFromBundleWithClass:[MPPObjectDetectorTests class]
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fileName:fileInfo[@"name"]
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ofType:fileInfo[@"type"]];
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XCTAssertNotNil(image);
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return image;
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}
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- (MPPImage *)imageWithFileInfo:(NSDictionary *)fileInfo
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orientation:(UIImageOrientation)orientation {
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MPPImage *image = [MPPImage imageFromBundleWithClass:[MPPObjectDetectorTests class]
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fileName:fileInfo[@"name"]
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ofType:fileInfo[@"type"]
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orientation:orientation];
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XCTAssertNotNil(image);
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return image;
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}
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- (void)assertResultsOfDetectInImage:(MPPImage *)mppImage
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usingObjectDetector:(MPPObjectDetector *)objectDetector
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maxResults:(NSInteger)maxResults
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equalsObjectDetectionResult:(MPPObjectDetectionResult *)expectedObjectDetectionResult {
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MPPObjectDetectionResult *objectDetectionResult = [objectDetector detectInImage:mppImage
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error:nil];
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AssertEqualObjectDetectionResults(
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objectDetectionResult, expectedObjectDetectionResult,
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maxResults > 0 ? maxResults : objectDetectionResult.detections.count);
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}
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- (void)assertResultsOfDetectInImageWithFileInfo:(NSDictionary *)fileInfo
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usingObjectDetector:(MPPObjectDetector *)objectDetector
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maxResults:(NSInteger)maxResults
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equalsObjectDetectionResult:
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(MPPObjectDetectionResult *)expectedObjectDetectionResult {
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MPPImage *mppImage = [self imageWithFileInfo:fileInfo];
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[self assertResultsOfDetectInImage:mppImage
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usingObjectDetector:objectDetector
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maxResults:maxResults
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equalsObjectDetectionResult:expectedObjectDetectionResult];
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}
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#pragma mark General Tests
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- (void)testCreateObjectDetectorWithMissingModelPathFails {
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NSString *modelPath = [self filePathWithName:@"" extension:@""];
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NSError *error = nil;
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MPPObjectDetector *objectDetector = [[MPPObjectDetector alloc] initWithModelPath:modelPath
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error:&error];
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XCTAssertNil(objectDetector);
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NSError *expectedError = [NSError
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errorWithDomain:kExpectedErrorDomain
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code:MPPTasksErrorCodeInvalidArgumentError
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userInfo:@{
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NSLocalizedDescriptionKey :
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@"INVALID_ARGUMENT: ExternalFile must specify at least one of 'file_content', "
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@"'file_name', 'file_pointer_meta' or 'file_descriptor_meta'."
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}];
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AssertEqualErrors(error, expectedError);
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}
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- (void)testCreateObjectDetectorAllowlistAndDenylistFails {
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MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
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options.categoryAllowlist = @[ @"cat" ];
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options.categoryDenylist = @[ @"dog" ];
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[self assertCreateObjectDetectorWithOptions:options
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failsWithExpectedError:
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[NSError
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errorWithDomain:kExpectedErrorDomain
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code:MPPTasksErrorCodeInvalidArgumentError
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userInfo:@{
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NSLocalizedDescriptionKey :
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@"INVALID_ARGUMENT: `category_allowlist` and "
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@"`category_denylist` are mutually exclusive options."
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}]];
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}
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- (void)testDetectWithModelPathSucceeds {
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NSString *modelPath = [self filePathWithName:kModelName extension:@"tflite"];
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MPPObjectDetector *objectDetector = [[MPPObjectDetector alloc] initWithModelPath:modelPath
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error:nil];
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XCTAssertNotNil(objectDetector);
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[self assertResultsOfDetectInImageWithFileInfo:kCatsAndDogsImage
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usingObjectDetector:objectDetector
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maxResults:-1
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equalsObjectDetectionResult:
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[MPPObjectDetectorTests
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expectedDetectionResultForCatsAndDogsImageWithTimestampMs:0]];
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}
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- (void)testDetectWithOptionsSucceeds {
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MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
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MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
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[self assertResultsOfDetectInImageWithFileInfo:kCatsAndDogsImage
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usingObjectDetector:objectDetector
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maxResults:-1
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equalsObjectDetectionResult:
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[MPPObjectDetectorTests
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expectedDetectionResultForCatsAndDogsImageWithTimestampMs:0]];
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}
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- (void)testDetectWithMaxResultsSucceeds {
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MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
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const NSInteger maxResults = 4;
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options.maxResults = maxResults;
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MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
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[self assertResultsOfDetectInImageWithFileInfo:kCatsAndDogsImage
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usingObjectDetector:objectDetector
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maxResults:maxResults
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equalsObjectDetectionResult:
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[MPPObjectDetectorTests
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expectedDetectionResultForCatsAndDogsImageWithTimestampMs:0]];
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}
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- (void)testDetectWithScoreThresholdSucceeds {
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MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
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options.scoreThreshold = 0.68f;
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MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
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NSArray<MPPDetection *> *detections = @[
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|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1 score:0.69921875f categoryName:@"cat" displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(608, 161, 381, 439)
|
||||||
|
keypoints:nil],
|
||||||
|
];
|
||||||
|
MPPObjectDetectionResult *expectedObjectDetectionResult =
|
||||||
|
[[MPPObjectDetectionResult alloc] initWithDetections:detections timestampMs:0];
|
||||||
|
|
||||||
|
[self assertResultsOfDetectInImageWithFileInfo:kCatsAndDogsImage
|
||||||
|
usingObjectDetector:objectDetector
|
||||||
|
maxResults:-1
|
||||||
|
equalsObjectDetectionResult:expectedObjectDetectionResult];
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectWithCategoryAllowlistSucceeds {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
options.categoryAllowlist = @[ @"cat" ];
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
NSArray<MPPDetection *> *detections = @[
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1 score:0.69921875f categoryName:@"cat" displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(608, 161, 381, 439)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1 score:0.656250f categoryName:@"cat" displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(57, 398, 392, 196)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1 score:0.51171875f categoryName:@"cat" displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(257, 395, 173, 202)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1 score:0.48828125f categoryName:@"cat" displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(363, 195, 330, 412)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1 score:0.355469f categoryName:@"cat" displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(275, 216, 610, 386)
|
||||||
|
keypoints:nil],
|
||||||
|
];
|
||||||
|
|
||||||
|
MPPObjectDetectionResult *expectedDetectionResult =
|
||||||
|
[[MPPObjectDetectionResult alloc] initWithDetections:detections timestampMs:0];
|
||||||
|
|
||||||
|
[self assertResultsOfDetectInImageWithFileInfo:kCatsAndDogsImage
|
||||||
|
usingObjectDetector:objectDetector
|
||||||
|
maxResults:-1
|
||||||
|
equalsObjectDetectionResult:expectedDetectionResult];
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectWithCategoryDenylistSucceeds {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
options.categoryDenylist = @[ @"cat" ];
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
NSArray<MPPDetection *> *detections = @[
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1
|
||||||
|
score:0.476562f
|
||||||
|
categoryName:@"teddy bear"
|
||||||
|
displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(780, 407, 314, 190)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1
|
||||||
|
score:0.390625f
|
||||||
|
categoryName:@"teddy bear"
|
||||||
|
displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(90, 225, 568, 366)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1
|
||||||
|
score:0.367188f
|
||||||
|
categoryName:@"teddy bear"
|
||||||
|
displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(888, 434, 187, 167)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1 score:0.332031f categoryName:@"bed" displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(79, 364, 1097, 224)
|
||||||
|
keypoints:nil],
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1
|
||||||
|
score:0.289062f
|
||||||
|
categoryName:@"teddy bear"
|
||||||
|
displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(605, 398, 445, 199)
|
||||||
|
keypoints:nil],
|
||||||
|
];
|
||||||
|
|
||||||
|
MPPObjectDetectionResult *expectedDetectionResult =
|
||||||
|
[[MPPObjectDetectionResult alloc] initWithDetections:detections timestampMs:0];
|
||||||
|
|
||||||
|
[self assertResultsOfDetectInImageWithFileInfo:kCatsAndDogsImage
|
||||||
|
usingObjectDetector:objectDetector
|
||||||
|
maxResults:-1
|
||||||
|
equalsObjectDetectionResult:expectedDetectionResult];
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectWithOrientationSucceeds {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
options.maxResults = 1;
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
NSArray<MPPDetection *> *detections = @[
|
||||||
|
[[MPPDetection alloc] initWithCategories:@[
|
||||||
|
[[MPPCategory alloc] initWithIndex:-1
|
||||||
|
score:0.750000f
|
||||||
|
categoryName:@"teddy bear"
|
||||||
|
displayName:nil],
|
||||||
|
]
|
||||||
|
boundingBox:CGRectMake(0, 372, 416, 276)
|
||||||
|
keypoints:nil],
|
||||||
|
];
|
||||||
|
|
||||||
|
MPPObjectDetectionResult *expectedDetectionResult =
|
||||||
|
[[MPPObjectDetectionResult alloc] initWithDetections:detections timestampMs:0];
|
||||||
|
|
||||||
|
MPPImage *image = [self imageWithFileInfo:kCatsAndDogsRotatedImage
|
||||||
|
orientation:UIImageOrientationRight];
|
||||||
|
|
||||||
|
[self assertResultsOfDetectInImage:image
|
||||||
|
usingObjectDetector:objectDetector
|
||||||
|
maxResults:1
|
||||||
|
equalsObjectDetectionResult:expectedDetectionResult];
|
||||||
|
}
|
||||||
|
|
||||||
|
#pragma mark Running Mode Tests
|
||||||
|
|
||||||
|
- (void)testCreateObjectDetectorFailsWithResultListenerInNonLiveStreamMode {
|
||||||
|
MPPRunningMode runningModesToTest[] = {MPPRunningModeImage, MPPRunningModeVideo};
|
||||||
|
for (int i = 0; i < sizeof(runningModesToTest) / sizeof(runningModesToTest[0]); i++) {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
|
||||||
|
options.runningMode = runningModesToTest[i];
|
||||||
|
options.completion =
|
||||||
|
^(MPPObjectDetectionResult *result, NSInteger timestampMs, NSError *error) {
|
||||||
|
};
|
||||||
|
|
||||||
|
[self
|
||||||
|
assertCreateObjectDetectorWithOptions:options
|
||||||
|
failsWithExpectedError:
|
||||||
|
[NSError
|
||||||
|
errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey :
|
||||||
|
@"The vision task is in image or video mode, a "
|
||||||
|
@"user-defined result callback should not be provided."
|
||||||
|
}]];
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testCreateObjectDetectorFailsWithMissingResultListenerInLiveStreamMode {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
|
||||||
|
options.runningMode = MPPRunningModeLiveStream;
|
||||||
|
|
||||||
|
[self assertCreateObjectDetectorWithOptions:options
|
||||||
|
failsWithExpectedError:
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey :
|
||||||
|
@"The vision task is in live stream mode, a "
|
||||||
|
@"user-defined result callback must be provided."
|
||||||
|
}]];
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectFailsWithCallingWrongApiInImageMode {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
MPPImage *image = [self imageWithFileInfo:kCatsAndDogsImage];
|
||||||
|
|
||||||
|
NSError *liveStreamApiCallError;
|
||||||
|
XCTAssertFalse([objectDetector detectAsyncInImage:image
|
||||||
|
timestampMs:0
|
||||||
|
error:&liveStreamApiCallError]);
|
||||||
|
|
||||||
|
NSError *expectedLiveStreamApiCallError =
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey : @"The vision task is not initialized with live "
|
||||||
|
@"stream mode. Current Running Mode: Image"
|
||||||
|
}];
|
||||||
|
|
||||||
|
AssertEqualErrors(liveStreamApiCallError, expectedLiveStreamApiCallError);
|
||||||
|
|
||||||
|
NSError *videoApiCallError;
|
||||||
|
XCTAssertFalse([objectDetector detectInVideoFrame:image timestampMs:0 error:&videoApiCallError]);
|
||||||
|
|
||||||
|
NSError *expectedVideoApiCallError =
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey : @"The vision task is not initialized with "
|
||||||
|
@"video mode. Current Running Mode: Image"
|
||||||
|
}];
|
||||||
|
AssertEqualErrors(videoApiCallError, expectedVideoApiCallError);
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectFailsWithCallingWrongApiInVideoMode {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
options.runningMode = MPPRunningModeVideo;
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
MPPImage *image = [self imageWithFileInfo:kCatsAndDogsImage];
|
||||||
|
|
||||||
|
NSError *liveStreamApiCallError;
|
||||||
|
XCTAssertFalse([objectDetector detectAsyncInImage:image
|
||||||
|
timestampMs:0
|
||||||
|
error:&liveStreamApiCallError]);
|
||||||
|
|
||||||
|
NSError *expectedLiveStreamApiCallError =
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey : @"The vision task is not initialized with live "
|
||||||
|
@"stream mode. Current Running Mode: Video"
|
||||||
|
}];
|
||||||
|
|
||||||
|
AssertEqualErrors(liveStreamApiCallError, expectedLiveStreamApiCallError);
|
||||||
|
|
||||||
|
NSError *imageApiCallError;
|
||||||
|
XCTAssertFalse([objectDetector detectInImage:image error:&imageApiCallError]);
|
||||||
|
|
||||||
|
NSError *expectedImageApiCallError =
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey : @"The vision task is not initialized with "
|
||||||
|
@"image mode. Current Running Mode: Video"
|
||||||
|
}];
|
||||||
|
AssertEqualErrors(imageApiCallError, expectedImageApiCallError);
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectFailsWithCallingWrongApiInLiveStreamMode {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
|
||||||
|
options.runningMode = MPPRunningModeLiveStream;
|
||||||
|
options.completion = ^(MPPObjectDetectionResult *result, NSInteger timestampMs, NSError *error) {
|
||||||
|
|
||||||
|
};
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
MPPImage *image = [self imageWithFileInfo:kCatsAndDogsImage];
|
||||||
|
|
||||||
|
NSError *imageApiCallError;
|
||||||
|
XCTAssertFalse([objectDetector detectInImage:image error:&imageApiCallError]);
|
||||||
|
|
||||||
|
NSError *expectedImageApiCallError =
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey : @"The vision task is not initialized with "
|
||||||
|
@"image mode. Current Running Mode: Live Stream"
|
||||||
|
}];
|
||||||
|
AssertEqualErrors(imageApiCallError, expectedImageApiCallError);
|
||||||
|
|
||||||
|
NSError *videoApiCallError;
|
||||||
|
XCTAssertFalse([objectDetector detectInVideoFrame:image timestampMs:0 error:&videoApiCallError]);
|
||||||
|
|
||||||
|
NSError *expectedVideoApiCallError =
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey : @"The vision task is not initialized with "
|
||||||
|
@"video mode. Current Running Mode: Live Stream"
|
||||||
|
}];
|
||||||
|
AssertEqualErrors(videoApiCallError, expectedVideoApiCallError);
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testClassifyWithVideoModeSucceeds {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
|
||||||
|
options.runningMode = MPPRunningModeVideo;
|
||||||
|
|
||||||
|
NSInteger maxResults = 4;
|
||||||
|
options.maxResults = maxResults;
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
MPPImage *image = [self imageWithFileInfo:kCatsAndDogsImage];
|
||||||
|
|
||||||
|
for (int i = 0; i < 3; i++) {
|
||||||
|
MPPObjectDetectionResult *objectDetectionResult = [objectDetector detectInVideoFrame:image
|
||||||
|
timestampMs:i
|
||||||
|
error:nil];
|
||||||
|
AssertEqualObjectDetectionResults(
|
||||||
|
objectDetectionResult,
|
||||||
|
[MPPObjectDetectorTests expectedDetectionResultForCatsAndDogsImageWithTimestampMs:i],
|
||||||
|
maxResults);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectWithOutOfOrderTimestampsAndLiveStreamModeFails {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
|
||||||
|
NSInteger maxResults = 4;
|
||||||
|
options.maxResults = maxResults;
|
||||||
|
|
||||||
|
options.runningMode = MPPRunningModeLiveStream;
|
||||||
|
|
||||||
|
XCTestExpectation *expectation = [[XCTestExpectation alloc]
|
||||||
|
initWithDescription:@"detectWithOutOfOrderTimestampsAndLiveStream"];
|
||||||
|
expectation.expectedFulfillmentCount = 1;
|
||||||
|
|
||||||
|
options.completion = ^(MPPObjectDetectionResult *result, NSInteger timestampMs, NSError *error) {
|
||||||
|
AssertEqualObjectDetectionResults(
|
||||||
|
result,
|
||||||
|
[MPPObjectDetectorTests expectedDetectionResultForCatsAndDogsImageWithTimestampMs:1],
|
||||||
|
maxResults);
|
||||||
|
[expectation fulfill];
|
||||||
|
};
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
MPPImage *image = [self imageWithFileInfo:kCatsAndDogsImage];
|
||||||
|
|
||||||
|
XCTAssertTrue([objectDetector detectAsyncInImage:image timestampMs:1 error:nil]);
|
||||||
|
|
||||||
|
NSError *error;
|
||||||
|
XCTAssertFalse([objectDetector detectAsyncInImage:image timestampMs:0 error:&error]);
|
||||||
|
|
||||||
|
NSError *expectedError =
|
||||||
|
[NSError errorWithDomain:kExpectedErrorDomain
|
||||||
|
code:MPPTasksErrorCodeInvalidArgumentError
|
||||||
|
userInfo:@{
|
||||||
|
NSLocalizedDescriptionKey :
|
||||||
|
@"INVALID_ARGUMENT: Input timestamp must be monotonically increasing."
|
||||||
|
}];
|
||||||
|
AssertEqualErrors(error, expectedError);
|
||||||
|
[self waitForExpectations:@[ expectation ] timeout:0.1];
|
||||||
|
}
|
||||||
|
|
||||||
|
- (void)testDetectWithLiveStreamModeSucceeds {
|
||||||
|
MPPObjectDetectorOptions *options = [self objectDetectorOptionsWithModelName:kModelName];
|
||||||
|
|
||||||
|
NSInteger maxResults = 4;
|
||||||
|
options.maxResults = maxResults;
|
||||||
|
|
||||||
|
options.runningMode = MPPRunningModeLiveStream;
|
||||||
|
|
||||||
|
NSInteger iterationCount = 100;
|
||||||
|
|
||||||
|
// Because of flow limiting, we cannot ensure that the callback will be
|
||||||
|
// invoked `iterationCount` times.
|
||||||
|
// An normal expectation will fail if expectation.fullfill() is not called
|
||||||
|
// `expectation.expectedFulfillmentCount` times.
|
||||||
|
// If `expectation.isInverted = true`, the test will only succeed if
|
||||||
|
// expectation is not fullfilled for the specified `expectedFulfillmentCount`.
|
||||||
|
// Since in our case we cannot predict how many times the expectation is
|
||||||
|
// supposed to be fullfilled setting,
|
||||||
|
// `expectation.expectedFulfillmentCount` = `iterationCount` + 1 and
|
||||||
|
// `expectation.isInverted = true` ensures that test succeeds if
|
||||||
|
// expectation is fullfilled <= `iterationCount` times.
|
||||||
|
XCTestExpectation *expectation = [[XCTestExpectation alloc]
|
||||||
|
initWithDescription:@"detectWithOutOfOrderTimestampsAndLiveStream"];
|
||||||
|
expectation.expectedFulfillmentCount = iterationCount + 1;
|
||||||
|
expectation.inverted = YES;
|
||||||
|
|
||||||
|
options.completion = ^(MPPObjectDetectionResult *result, NSInteger timestampMs, NSError *error) {
|
||||||
|
AssertEqualObjectDetectionResults(
|
||||||
|
result,
|
||||||
|
[MPPObjectDetectorTests
|
||||||
|
expectedDetectionResultForCatsAndDogsImageWithTimestampMs:timestampMs],
|
||||||
|
maxResults);
|
||||||
|
[expectation fulfill];
|
||||||
|
};
|
||||||
|
|
||||||
|
MPPObjectDetector *objectDetector = [self objectDetectorWithOptionsSucceeds:options];
|
||||||
|
|
||||||
|
// TODO: Mimic initialization from CMSampleBuffer as live stream mode is most likely to be used
|
||||||
|
// with the iOS camera. AVCaptureVideoDataOutput sample buffer delegates provide frames of type
|
||||||
|
// `CMSampleBuffer`.
|
||||||
|
MPPImage *image = [self imageWithFileInfo:kCatsAndDogsImage];
|
||||||
|
|
||||||
|
for (int i = 0; i < iterationCount; i++) {
|
||||||
|
XCTAssertTrue([objectDetector detectAsyncInImage:image timestampMs:i error:nil]);
|
||||||
|
}
|
||||||
|
|
||||||
|
[self waitForExpectations:@[ expectation ] timeout:0.5];
|
||||||
|
}
|
||||||
|
|
||||||
|
@end
|
||||||
Loading…
Reference in New Issue
Block a user