Added MPPImageClassifier Objective C Tests
This commit is contained in:
Prianka Liz Kariat
parent
48190e6600
commit
d4b60a781e
66
mediapipe/tasks/ios/test/vision/image_classifier/BUILD
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66
mediapipe/tasks/ios/test/vision/image_classifier/BUILD
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load(
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"@build_bazel_rules_apple//apple:ios.bzl",
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"ios_unit_test",
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)
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load(
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"@build_bazel_rules_swift//swift:swift.bzl",
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"swift_library",
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)
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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 = "MPPImageClassifierObjcTestLibrary",
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testonly = 1,
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srcs = ["MPPImageClassifierTests.m"],
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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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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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"//mediapipe/tasks/ios/common:MPPCommon",
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"//mediapipe/tasks/ios/vision/image_classifier:MPPImageClassifier",
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"//mediapipe/tasks/ios/test/vision/utils:MPPImageTestUtils",
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],
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sdk_frameworks = [
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"AVFoundation",
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]
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)
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ios_unit_test(
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name = "MPPImageClassifierObjcTest",
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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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":MPPImageClassifierObjcTestLibrary",
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],
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)
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@ -0,0 +1,682 @@
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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/image_classifier/sources/MPPImageClassifier.h"
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static NSString *kFloatModelName = @"mobilenet_v2_1.0_224";
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static NSString *const kQuantizedModelName = @"mobilenet_v1_0.25_224_quant";
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static NSDictionary *const kBurgerImage = @{@"name" : @"burger", @"type" : @"jpg"};
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static NSDictionary *const kBurgerRotatedImage = @{@"name" : @"burger_rotated", @"type" : @"jpg"};
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static NSDictionary *const kMultiObjectsImage = @{@"name" : @"multi_objects", @"type" : @"jpg"};
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static NSDictionary *const kMultiObjectsRotatedImage = @{@"name" : @"multi_objects_rotated", @"type" : @"jpg"};
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static const int kMobileNetCategoriesCount = 1001;
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static NSString *const kExpectedErrorDomain = @"com.google.mediapipe.tasks";
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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) \
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XCTAssertEqual(categories.count, expectedCategories.count); \
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for (int i = 0; i < categories.count; i++) { \
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XCTAssertEqual(categories[i].index, expectedCategories[i].index, @"index i = %d", i); \
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XCTAssertEqualWithAccuracy(categories[i].score, expectedCategories[i].score, 1e-3, \
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@"index i = %d", i); \
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XCTAssertEqualObjects(categories[i].categoryName, expectedCategories[i].categoryName, \
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@"index i = %d", i); \
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XCTAssertEqualObjects(categories[i].displayName, expectedCategories[i].displayName, \
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@"index i = %d", i); \
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}
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#define AssertImageClassifierResultHasOneHead(imageClassifierResult) \
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XCTAssertNotNil(imageClassifierResult); \
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XCTAssertNotNil(imageClassifierResult.classificationResult); \
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XCTAssertEqual(imageClassifierResult.classificationResult.classifications.count, 1); \
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XCTAssertEqual(imageClassifierResult.classificationResult.classifications[0].headIndex, 0);
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@interface MPPImageClassifierTests : XCTestCase
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@end
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@implementation MPPImageClassifierTests
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#pragma mark Results
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+ (NSArray<MPPCategory *> *)expectedResultCategoriesForClassifyBurgerImageWithFloatModel {
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return @[
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[[MPPCategory alloc] initWithIndex:934
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score:0.786005f
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categoryName:@"cheeseburger"
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displayName:nil],
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[[MPPCategory alloc] initWithIndex:932 score:0.023508f categoryName:@"bagel" displayName:nil],
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[[MPPCategory alloc] initWithIndex:925
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score:0.021172f
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categoryName:@"guacamole"
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displayName:nil]
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];
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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 Classifier Initializers
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- (MPPImageClassifierOptions *)imageClassifierOptionsWithModelName:(NSString *)modelName {
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NSString *modelPath = [self filePathWithName:modelName extension:@"tflite"];
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MPPImageClassifierOptions *imageClassifierOptions = [[MPPImageClassifierOptions alloc] init];
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imageClassifierOptions.baseOptions.modelAssetPath = modelPath;
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return imageClassifierOptions;
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}
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- (MPPImageClassifier *)imageClassifierFromModelFileWithName:(NSString *)modelName {
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NSString *modelPath = [self filePathWithName:modelName extension:@"tflite"];
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MPPImageClassifier *imageClassifier = [[MPPImageClassifier alloc] initWithModelPath:modelPath
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error:nil];
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XCTAssertNotNil(imageClassifier);
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return imageClassifier;
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}
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- (MPPImageClassifier *)imageClassifierWithOptionsSucceeds:
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(MPPImageClassifierOptions *)imageClassifierOptions {
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MPPImageClassifier *imageClassifier =
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[[MPPImageClassifier alloc] initWithOptions:imageClassifierOptions error:nil];
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XCTAssertNotNil(imageClassifier);
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return imageClassifier;
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}
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#pragma mark Assert Classify Results
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-(MPPImage *)imageWithFileInfo:(NSDictionary *)fileInfo {
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MPPImage *image = [MPPImage imageFromBundleWithClass:[MPPImageClassifierTests 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 orientation:(UIImageOrientation)orientation {
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MPPImage *image = [MPPImage imageFromBundleWithClass:[MPPImageClassifierTests 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)assertCreateImageClassifierWithOptions:(MPPImageClassifierOptions *)imageClassifierOptions
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failsWithExpectedError:(NSError *)expectedError {
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NSError *error = nil;
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MPPImageClassifier *imageClassifier =
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[[MPPImageClassifier alloc] initWithOptions:imageClassifierOptions error:&error];
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XCTAssertNil(imageClassifier);
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AssertEqualErrors(error, expectedError);
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}
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- (void)assertImageClassifierResult:(MPPImageClassifierResult *)imageClassifierResult
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hasExpectedCategoriesCount:(NSInteger)expectedCategoriesCount
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expectedCategories:(NSArray<MPPCategory *> *)expectedCategories {
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AssertImageClassifierResultHasOneHead(imageClassifierResult);
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NSArray<MPPCategory *> *resultCategories =
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imageClassifierResult.classificationResult.classifications[0].categories;
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XCTAssertEqual(resultCategories.count, expectedCategoriesCount);
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NSArray<MPPCategory *> *categorySubsetToCompare;
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if (resultCategories.count > expectedCategories.count) {
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categorySubsetToCompare =
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[resultCategories subarrayWithRange:NSMakeRange(0, expectedCategories.count)];
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} else {
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categorySubsetToCompare = resultCategories;
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}
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AssertEqualCategoryArrays(categorySubsetToCompare, expectedCategories);
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}
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- (void)assertResultsOfClassifyImage:(MPPImage *)mppImage
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usingImageClassifier:(MPPImageClassifier *)imageClassifier
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expectedCategoriesCount:(NSInteger)expectedCategoriesCount
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equalsCategories:(NSArray<MPPCategory *> *)expectedCategories {
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MPPImageClassifierResult *imageClassifierResult = [imageClassifier classifyImage:mppImage
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error:nil];
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[self assertImageClassifierResult:imageClassifierResult
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hasExpectedCategoriesCount:expectedCategoriesCount
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expectedCategories:expectedCategories];
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}
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- (void)assertResultsOfClassifyImageWithFileInfo:(NSDictionary *)fileInfo
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usingImageClassifier:(MPPImageClassifier *)imageClassifier
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expectedCategoriesCount:(NSInteger)expectedCategoriesCount
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equalsCategories:(NSArray<MPPCategory *> *)expectedCategories {
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MPPImage *mppImage = [self imageWithFileInfo:fileInfo];
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[self assertResultsOfClassifyImage:mppImage
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usingImageClassifier:imageClassifier
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expectedCategoriesCount:expectedCategoriesCount
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equalsCategories:expectedCategories];
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}
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#pragma mark General Tests
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- (void)testCreateImageClassifierWithMissingModelPathFails {
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NSString *modelPath = [self filePathWithName:@"" extension:@""];
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NSError *error = nil;
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MPPImageClassifier *imageClassifier = [[MPPImageClassifier alloc] initWithModelPath:modelPath
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error:&error];
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XCTAssertNil(imageClassifier);
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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)testCreateImageClassifierAllowlistAndDenylistFails {
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MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
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options.categoryAllowlist = @[ @"cheeseburger" ];
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options.categoryDenylist = @[ @"bagel" ];
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[self assertCreateImageClassifierWithOptions: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)testCreateImageClassifierFailsWithInvalidMaxResults {
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// MPPImageClassifierOptions *options =
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// [self imageClassifierOptionsWithModelName:kFloatModelName];
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// options.maxResults = 0;
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// [self assertCreateImageClassifierWithOptions:options
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// failsWithExpectedError:
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// [NSError errorWithDomain:kExpectedErrorDomain
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// code:MPPTasksErrorCodeInvalidArgumentError
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// userInfo:@{
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// NSLocalizedDescriptionKey :
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// @"INVALID_ARGUMENT: Invalid `max_results`
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// option: "
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// @"value must be > 0."
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// }]];
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// }
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- (void)testClassifyWithModelPathAndFloatModelSucceeds {
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MPPImageClassifier *imageClassifier = [self imageClassifierFromModelFileWithName:kFloatModelName];
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[self assertResultsOfClassifyImageWithFileInfo:kBurgerImage
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usingImageClassifier:imageClassifier
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expectedCategoriesCount:kMobileNetCategoriesCount
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equalsCategories:[MPPImageClassifierTests
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expectedResultCategoriesForClassifyBurgerImageWithFloatModel]];
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}
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- (void)testClassifyWithOptionsAndFloatModelSucceeds {
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MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
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const NSInteger maxResults = 3;
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options.maxResults = maxResults;
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MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
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[self assertResultsOfClassifyImageWithFileInfo:kBurgerImage
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usingImageClassifier:imageClassifier
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expectedCategoriesCount:maxResults
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equalsCategories:[MPPImageClassifierTests
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expectedResultCategoriesForClassifyBurgerImageWithFloatModel]];
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}
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- (void)testClassifyWithQuantizedModelSucceeds {
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MPPImageClassifierOptions *options =
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[self imageClassifierOptionsWithModelName:kQuantizedModelName];
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const NSInteger maxResults = 1;
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options.maxResults = maxResults;
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MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
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NSArray<MPPCategory *> *expectedCategories = @[ [[MPPCategory alloc] initWithIndex:934
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score:0.972656f
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categoryName:@"cheeseburger"
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displayName:nil] ];
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[self assertResultsOfClassifyImageWithFileInfo:kBurgerImage
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usingImageClassifier:imageClassifier
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expectedCategoriesCount:maxResults
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equalsCategories:expectedCategories];
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}
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- (void)testClassifyWithScoreThresholdSucceeds {
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MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
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options.scoreThreshold = 0.25f;
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MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
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NSArray<MPPCategory *> *expectedCategories = @[ [[MPPCategory alloc] initWithIndex:934
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score:0.786005f
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categoryName:@"cheeseburger"
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displayName:nil] ];
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[self assertResultsOfClassifyImageWithFileInfo:kBurgerImage
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usingImageClassifier:imageClassifier
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expectedCategoriesCount:expectedCategories.count
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equalsCategories:expectedCategories];
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}
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- (void)testClassifyWithAllowListSucceeds {
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MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
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options.categoryAllowlist = @[ @"cheeseburger", @"guacamole", @"meat loaf" ];
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MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
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NSArray<MPPCategory *> *expectedCategories = @[
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[[MPPCategory alloc] initWithIndex:934
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score:0.786005f
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categoryName:@"cheeseburger"
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displayName:nil],
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[[MPPCategory alloc] initWithIndex:925
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score:0.021172f
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categoryName:@"guacamole"
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displayName:nil],
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[[MPPCategory alloc] initWithIndex:963
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score:0.006279315f
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categoryName:@"meat loaf"
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displayName:nil],
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];
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[self assertResultsOfClassifyImageWithFileInfo:kBurgerImage
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usingImageClassifier:imageClassifier
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expectedCategoriesCount:expectedCategories.count
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equalsCategories:expectedCategories];
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}
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- (void)testClassifyWithDenyListSucceeds {
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MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
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options.categoryDenylist = @[
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@"bagel",
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];
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options.maxResults = 3;
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MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
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NSArray<MPPCategory *> *expectedCategories = @[
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[[MPPCategory alloc] initWithIndex:934
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score:0.786005f
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categoryName:@"cheeseburger"
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displayName:nil],
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[[MPPCategory alloc] initWithIndex:925
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score:0.021172f
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categoryName:@"guacamole"
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displayName:nil],
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[[MPPCategory alloc] initWithIndex:963
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score:0.006279315f
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categoryName:@"meat loaf"
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displayName:nil],
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];
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[self assertResultsOfClassifyImageWithFileInfo:kBurgerImage
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usingImageClassifier:imageClassifier
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expectedCategoriesCount:expectedCategories.count
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equalsCategories:expectedCategories];
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}
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- (void)testClassifyWithRegionOfInterestSucceeds {
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MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
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NSInteger maxResults = 1;
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options.maxResults = maxResults;
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MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
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NSArray<MPPCategory *> *expectedCategories = @[ [[MPPCategory alloc] initWithIndex:806
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score:0.997122f
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categoryName:@"soccer ball"
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displayName:nil] ];
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MPPImage *image = [self imageWithFileInfo:kMultiObjectsImage];
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// roi around soccer ball
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MPPImageClassifierResult *imageClassifierResult =
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[imageClassifier classifyImage:image
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regionOfInterest:CGRectMake(0.450f, 0.308f, 0.164f, 0.426f)
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error:nil];
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[self assertImageClassifierResult:imageClassifierResult
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hasExpectedCategoriesCount:maxResults
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expectedCategories:expectedCategories];
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}
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|
||||
- (void)testClassifyWithRotationSucceeds {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
NSInteger maxResults = 3;
|
||||
options.maxResults = maxResults;
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
|
||||
|
||||
NSArray<MPPCategory *> *expectedCategories = @[
|
||||
[[MPPCategory alloc] initWithIndex:934
|
||||
score:0.622074f
|
||||
categoryName:@"cheeseburger"
|
||||
displayName:nil],
|
||||
[[MPPCategory alloc] initWithIndex:963
|
||||
score:0.051214f
|
||||
categoryName:@"meat loaf"
|
||||
displayName:nil],
|
||||
[[MPPCategory alloc] initWithIndex:925
|
||||
score:0.048719f
|
||||
categoryName:@"guacamole"
|
||||
displayName:nil]
|
||||
|
||||
];
|
||||
|
||||
MPPImage *image = [self imageWithFileInfo:kBurgerRotatedImage orientation:UIImageOrientationRight];
|
||||
|
||||
[self assertResultsOfClassifyImage:image
|
||||
usingImageClassifier:imageClassifier
|
||||
expectedCategoriesCount:maxResults
|
||||
equalsCategories:expectedCategories];
|
||||
}
|
||||
|
||||
- (void)testClassifyWithRegionOfInterestAndRotationSucceeds {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
NSInteger maxResults = 1;
|
||||
options.maxResults = maxResults;
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
|
||||
|
||||
NSArray<MPPCategory *> *expectedCategories =
|
||||
@[ [[MPPCategory alloc] initWithIndex:560
|
||||
score:0.682305f
|
||||
categoryName:@"folding chair"
|
||||
displayName:nil] ];
|
||||
|
||||
MPPImage *image = [self imageWithFileInfo:kMultiObjectsRotatedImage orientation:UIImageOrientationRight];
|
||||
|
||||
// roi around folding chair
|
||||
MPPImageClassifierResult *imageClassifierResult =
|
||||
[imageClassifier classifyImage:image
|
||||
regionOfInterest:CGRectMake(0.0f, 0.1763f, 0.5642f, 0.1286f)
|
||||
error:nil];
|
||||
[self assertImageClassifierResult:imageClassifierResult
|
||||
hasExpectedCategoriesCount:maxResults
|
||||
expectedCategories:expectedCategories];
|
||||
}
|
||||
|
||||
#pragma mark Running Mode Tests
|
||||
|
||||
- (void)testCreateImageClassifierFailsWithResultListenerInNonLiveStreamMode {
|
||||
MPPRunningMode runningModesToTest[] = {MPPRunningModeImage, MPPRunningModeVideo};
|
||||
for (int i = 0; i < sizeof(runningModesToTest) / sizeof(runningModesToTest[0]); i++) {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
options.runningMode = runningModesToTest[i];
|
||||
options.completion = ^(MPPImageClassifierResult *result, NSError *error) {
|
||||
};
|
||||
|
||||
[self
|
||||
assertCreateImageClassifierWithOptions: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)testCreateImageClassifierFailsWithMissingResultListenerInLiveStreamMode {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
options.runningMode = MPPRunningModeLiveStream;
|
||||
|
||||
[self assertCreateImageClassifierWithOptions: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)testClassifyFailsWithCallingWrongApiInImageMode {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
|
||||
|
||||
MPPImage *image = [self imageWithFileInfo:kBurgerImage];
|
||||
|
||||
NSError *liveStreamApiCallError;
|
||||
XCTAssertFalse([imageClassifier classifyAsyncImage: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([imageClassifier classifyVideoFrame: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)testClassifyFailsWithCallingWrongApiInVideoMode {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
options.runningMode = MPPRunningModeVideo;
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
|
||||
|
||||
MPPImage *image = [self imageWithFileInfo:kBurgerImage];
|
||||
|
||||
NSError *liveStreamApiCallError;
|
||||
XCTAssertFalse([imageClassifier classifyAsyncImage: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([imageClassifier classifyImage: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)testClassifyFailsWithCallingWrongApiInLiveStreamMode {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
options.runningMode = MPPRunningModeLiveStream;
|
||||
options.completion = ^(MPPImageClassifierResult *result, NSError *error) {
|
||||
|
||||
};
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
|
||||
|
||||
MPPImage *image = [self imageWithFileInfo:kBurgerImage];
|
||||
|
||||
NSError *imageApiCallError;
|
||||
XCTAssertFalse([imageClassifier classifyImage: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([imageClassifier classifyVideoFrame: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 {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
options.runningMode = MPPRunningModeVideo;
|
||||
|
||||
NSInteger maxResults = 3;
|
||||
options.maxResults = maxResults;
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
|
||||
|
||||
|
||||
MPPImage *image = [self imageWithFileInfo:kBurgerImage];
|
||||
|
||||
for (int i = 0; i < 3; i++) {
|
||||
MPPImageClassifierResult *imageClassifierResult = [imageClassifier classifyVideoFrame:image
|
||||
timestampMs:i
|
||||
error:nil];
|
||||
[self assertImageClassifierResult:imageClassifierResult
|
||||
hasExpectedCategoriesCount:maxResults
|
||||
expectedCategories:[MPPImageClassifierTests
|
||||
expectedResultCategoriesForClassifyBurgerImageWithFloatModel]];
|
||||
}
|
||||
}
|
||||
|
||||
- (void)testClassifyWithOutOfOrderTimestampsAndLiveStreamModeFails {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
NSInteger maxResults = 3;
|
||||
options.maxResults = maxResults;
|
||||
|
||||
options.runningMode = MPPRunningModeLiveStream;
|
||||
options.completion = ^(MPPImageClassifierResult *result, NSError *error) {
|
||||
[self assertImageClassifierResult:result
|
||||
hasExpectedCategoriesCount:maxResults
|
||||
expectedCategories:[MPPImageClassifierTests
|
||||
expectedResultCategoriesForClassifyBurgerImageWithFloatModel]];
|
||||
};
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds:options];
|
||||
|
||||
MPPImage *image = [self imageWithFileInfo:kBurgerImage];
|
||||
|
||||
XCTAssertTrue([imageClassifier classifyAsyncImage:image timestampMs:1 error:nil]);
|
||||
|
||||
NSError *error;
|
||||
XCTAssertFalse([imageClassifier classifyAsyncImage: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);
|
||||
}
|
||||
|
||||
- (void)testClassifyWithLiveStreamModeSucceeds {
|
||||
MPPImageClassifierOptions *options = [self imageClassifierOptionsWithModelName:kFloatModelName];
|
||||
|
||||
NSInteger maxResults = 3;
|
||||
options.maxResults = maxResults;
|
||||
|
||||
options.runningMode = MPPRunningModeLiveStream;
|
||||
options.completion = ^(MPPImageClassifierResult *result, NSError *error) {
|
||||
[self assertImageClassifierResult:result
|
||||
hasExpectedCategoriesCount:maxResults
|
||||
expectedCategories:[MPPImageClassifierTests
|
||||
expectedResultCategoriesForClassifyBurgerImageWithFloatModel]];
|
||||
};
|
||||
|
||||
MPPImageClassifier *imageClassifier = [self imageClassifierWithOptionsSucceeds: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:kBurgerImage];
|
||||
|
||||
|
||||
for (int i = 0; i < 3; i++) {
|
||||
XCTAssertTrue([imageClassifier classifyAsyncImage:image timestampMs:i error:nil]);
|
||||
}
|
||||
}
|
||||
|
||||
@end
|
||||
Loading…
Reference in New Issue
Block a user