Added iOS interactive segmenter basic tests
This commit is contained in:
Prianka Liz Kariat
parent
d1237787e2
commit
2168b05432
77
mediapipe/tasks/ios/test/vision/interactive_segmenter/BUILD
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77
mediapipe/tasks/ios/test/vision/interactive_segmenter/BUILD
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# Copyright 2023 The MediaPipe Authors. All Rights Reserved.
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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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load(
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"//mediapipe/framework/tool: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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load("@build_bazel_rules_apple//apple:ios.bzl", "ios_unit_test")
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package(default_visibility = ["//visibility:public"])
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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 = "MPPInteractiveSegmenterObjcTestLibrary",
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testonly = 1,
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srcs = ["MPPInteractiveSegmenterTests.mm"],
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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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"//mediapipe/tasks/testdata/vision:test_protos",
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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/test/vision/utils:MPPMaskTestUtils",
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"//mediapipe/tasks/ios/vision/interactive_segmenter:MPPInteractiveSegmenter",
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"//mediapipe/tasks/ios/vision/image_segmenter:MPPImageSegmenterResult",
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] + select({
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"//third_party:opencv_ios_sim_arm64_source_build": ["@ios_opencv_source//:opencv_xcframework"],
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"//third_party:opencv_ios_arm64_source_build": ["@ios_opencv_source//:opencv_xcframework"],
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"//third_party:opencv_ios_x86_64_source_build": ["@ios_opencv_source//:opencv_xcframework"],
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"//conditions:default": ["@ios_opencv//:OpencvFramework"],
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}),
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)
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ios_unit_test(
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name = "MPPInteractiveSegmenterObjcTest",
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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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":MPPInteractiveSegmenterObjcTestLibrary",
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],
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)
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// Copyright 2023 The MediaPipe Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#import <Foundation/Foundation.h>
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#import <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/test/vision/utils/sources/MPPMask+TestUtils.h"
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#import "mediapipe/tasks/ios/vision/image_segmenter/sources/MPPImageSegmenterResult.h"
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#import "mediapipe/tasks/ios/vision/interactive_segmenter/sources/MPPInteractiveSegmenter.h"
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#include <iostream>
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#include <vector>
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static MPPFileInfo *const kCatsAndDogsImageFileInfo =
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[[MPPFileInfo alloc] initWithName:@"cats_and_dogs" type:@"jpg"];
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static MPPFileInfo *const kCatGoldenImageFileInfo = [[MPPFileInfo alloc] initWithName:@"cat_mask"
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type:@"jpg"];
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static MPPFileInfo *const kCatsAndDogsMaskImage1FileInfo =
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[[MPPFileInfo alloc] initWithName:@"cats_and_dogs_mask_dog1" type:@"png"];
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static MPPFileInfo *const kCatsAndDogsMaskImage2FileInfo =
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[[MPPFileInfo alloc] initWithName:@"cats_and_dogs_mask_dog2" type:@"png"];
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static MPPFileInfo *const kSegmentationGoldenImageFileInfo =
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[[MPPFileInfo alloc] initWithName:@"segmentation_golden_rotation0" type:@"png"];
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static MPPFileInfo *const kDeepLabModelFileInfo =
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[[MPPFileInfo alloc] initWithName:@"ptm_512_hdt_ptm_woid" type:@"tflite"];
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static NSString *const kExpectedErrorDomain = @"com.google.mediapipe.tasks";
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constexpr float kSimilarityThreshold = 0.97f;
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constexpr NSInteger kMagnificationFactor = 255;
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constexpr NSInteger kExpectedDeeplabV3ConfidenceMaskCount = 21;
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constexpr NSInteger kExpected128x128SelfieSegmentationConfidenceMaskCount = 2;
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constexpr NSInteger kExpected144x256SelfieSegmentationConfidenceMaskCount = 1;
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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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XCTAssertEqualObjects(error.localizedDescription, expectedError.localizedDescription)
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namespace {
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double sum(const std::vector<float> &mask) {
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double sum = 0.0;
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for (const float &maskElement : mask) {
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sum += maskElement;
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}
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return sum;
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}
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std::vector<float> multiply(const float *mask1, const float *mask2, size_t size) {
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std::vector<float> multipliedMask;
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multipliedMask.reserve(size);
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for (int i = 0; i < size; i++) {
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multipliedMask.push_back(mask1[i] * mask2[i]);
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}
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return multipliedMask;
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}
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double softIOU(const float *mask1, const float *mask2, size_t size) {
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std::vector<float> interSectionVector = multiply(mask1, mask2, size);
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double interSectionSum = sum(interSectionVector);
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std::vector<float> m1m1Vector = multiply(mask1, mask1, size);
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double m1m1 = sum(m1m1Vector);
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std::vector<float> m2m2Vector = multiply(mask2, mask2, size);
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double m2m2 = sum(m2m2Vector);
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double unionSum = m1m1 + m2m2 - interSectionSum;
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return unionSum > 0.0 ? interSectionSum / unionSum : 0.0;
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}
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} // namespace
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@interface MPPInteractiveSegmenterTests : XCTestCase
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@end
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@implementation MPPInteractiveSegmenterTests
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#pragma mark General Tests
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- (void)setUp {
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// When expected and actual mask sizes are not equal, iterating through mask data results in a
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// segmentation fault. Setting this property to `NO`, prevents each test case from executing the
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// remaining flow after a failure. Since expected and actual mask sizes are compared before
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// iterating through them, this prevents any illegal memory access.
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self.continueAfterFailure = NO;
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}
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+ (NSString *)filePathWithName:(NSString *)fileName extension:(NSString *)extension {
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NSString *filePath =
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[[NSBundle bundleForClass:[MPPInteractiveSegmenterTests 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 Image Mode Tests
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- (void)testSegmentWithCategoryMaskSucceeds {
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MPPInteractiveSegmenterOptions *options =
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[self interactiveSegmenterOptionsWithModelFileInfo:kDeepLabModelFileInfo];
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options.shouldOutputConfidenceMasks = NO;
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options.shouldOutputCategoryMask = YES;
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MPPInteractiveSegmenter *interactiveSegmenter =
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[self createInteractiveSegmenterWithOptionsSucceeds:options];
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MPPRegionOfInterest *regionOfInterest = [[MPPRegionOfInterest alloc]
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initWithNormalizedKeyPoint:[[MPPNormalizedKeypoint alloc]
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initWithLocation:CGPointMake(0.44, 0.7)
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label:nil
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score:0.0f]];
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[self assertResultsOfSegmentImageWithFileInfo:kCatsAndDogsImageFileInfo
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regionOfInterest:regionOfInterest
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usingInteractiveSegmenter:interactiveSegmenter
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approximatelyEqualsExpectedCategoryMaskImageWithFileInfo:kCatsAndDogsMaskImage1FileInfo
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withMaskSimilarityThreshold:0.84f
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shouldHaveConfidenceMasks:NO];
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}
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- (void)testSegmentWithConfidenceMaskSucceeds {
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MPPInteractiveSegmenterOptions *options =
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[self interactiveSegmenterOptionsWithModelFileInfo:kDeepLabModelFileInfo];
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MPPInteractiveSegmenter *interactiveSegmenter =
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[self createInteractiveSegmenterWithOptionsSucceeds:options];
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MPPRegionOfInterest *regionOfInterest = [[MPPRegionOfInterest alloc]
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initWithNormalizedKeyPoint:[[MPPNormalizedKeypoint alloc]
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initWithLocation:CGPointMake(0.44, 0.7)
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label:nil
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score:0.0f]];
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[self assertResultsOfSegmentImageWithFileInfo:kCatsAndDogsImageFileInfo
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regionOfInterest:regionOfInterest
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usingInteractiveSegmenter:interactiveSegmenter
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hasConfidenceMasksCount:2
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approximatelyEqualsExpectedConfidenceMaskImageWithFileInfo:kCatsAndDogsMaskImage1FileInfo
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atIndex:1
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withMaskSimilarityThreshold:0.84f
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shouldHaveCategoryMask:NO];
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}
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#pragma mark - Image Segmenter Initializers
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- (MPPInteractiveSegmenterOptions *)interactiveSegmenterOptionsWithModelFileInfo:
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(MPPFileInfo *)fileInfo {
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MPPInteractiveSegmenterOptions *options = [[MPPInteractiveSegmenterOptions alloc] init];
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options.baseOptions.modelAssetPath = fileInfo.path;
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return options;
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}
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- (MPPInteractiveSegmenter *)createInteractiveSegmenterWithOptionsSucceeds:
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(MPPInteractiveSegmenterOptions *)options {
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NSError *error;
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MPPInteractiveSegmenter *interactiveSegmenter =
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[[MPPInteractiveSegmenter alloc] initWithOptions:options error:&error];
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XCTAssertNotNil(interactiveSegmenter);
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XCTAssertNil(error);
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return interactiveSegmenter;
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}
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- (void)assertCreateInteractiveSegmenterWithOptions:(MPPInteractiveSegmenterOptions *)options
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failsWithExpectedError:(NSError *)expectedError {
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NSError *error = nil;
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MPPInteractiveSegmenter *interactiveSegmenter =
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[[MPPInteractiveSegmenter alloc] initWithOptions:options error:&error];
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XCTAssertNil(interactiveSegmenter);
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AssertEqualErrors(error, expectedError);
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}
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#pragma mark Assert Segmenter Results
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- (void)assertResultsOfSegmentImageWithFileInfo:(MPPFileInfo *)imageFileInfo
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regionOfInterest:(MPPRegionOfInterest *)regionOfInterest
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usingInteractiveSegmenter:
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(MPPInteractiveSegmenter *)interactiveSegmenter
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approximatelyEqualsExpectedCategoryMaskImageWithFileInfo:
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(MPPFileInfo *)expectedCategoryMaskFileInfo
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withMaskSimilarityThreshold:(const float)maskSImilarityThreshold
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shouldHaveConfidenceMasks:(BOOL)shouldHaveConfidenceMasks {
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MPPImageSegmenterResult *result = [self segmentImageWithFileInfo:imageFileInfo
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regionOfInterest:regionOfInterest
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usingInteractiveSegmenter:interactiveSegmenter];
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XCTAssertNotNil(result.categoryMask);
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if (shouldHaveConfidenceMasks) {
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XCTAssertNotNil(result.confidenceMasks);
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} else {
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XCTAssertNil(result.confidenceMasks);
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}
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[self assertCategoryMask:result.categoryMask
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approximatelyEqualsExpectedCategoryMaskImageWithFileInfo:expectedCategoryMaskFileInfo
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withMaskSimilarityThreshold:maskSImilarityThreshold];
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}
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- (void)assertResultsOfSegmentImageWithFileInfo:(MPPFileInfo *)imageFileInfo
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regionOfInterest:
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(MPPRegionOfInterest *)regionOfInterest
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usingInteractiveSegmenter:
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(MPPInteractiveSegmenter *)interactiveSegmenter
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hasConfidenceMasksCount:
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(NSUInteger)expectedConfidenceMasksCount
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approximatelyEqualsExpectedConfidenceMaskImageWithFileInfo:
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(MPPFileInfo *)expectedConfidenceMaskFileInfo
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atIndex:(NSInteger)index
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withMaskSimilarityThreshold:(const float)maskSImilarityThreshold
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shouldHaveCategoryMask:(BOOL)shouldHaveCategoryMask {
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MPPImageSegmenterResult *result = [self segmentImageWithFileInfo:imageFileInfo
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regionOfInterest:regionOfInterest
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usingInteractiveSegmenter:interactiveSegmenter];
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[self assertInteractiveSegmenterResult:result
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hasConfidenceMasksCount:expectedConfidenceMasksCount
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approximatelyEqualsExpectedConfidenceMaskImageWithFileInfo:expectedConfidenceMaskFileInfo
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atIndex:index
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withMaskSimilarityThreshold:maskSImilarityThreshold
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shouldHaveCategoryMask:shouldHaveCategoryMask];
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}
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- (void)assertInteractiveSegmenterResult:(MPPImageSegmenterResult *)result
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hasConfidenceMasksCount:
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(NSUInteger)expectedConfidenceMasksCount
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approximatelyEqualsExpectedConfidenceMaskImageWithFileInfo:
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(MPPFileInfo *)expectedConfidenceMaskFileInfo
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atIndex:(NSInteger)index
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withMaskSimilarityThreshold:(const float)maskSImilarityThreshold
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shouldHaveCategoryMask:(BOOL)shouldHaveCategoryMask {
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XCTAssertNotNil(result.confidenceMasks);
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XCTAssertEqual(result.confidenceMasks.count, expectedConfidenceMasksCount);
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if (shouldHaveCategoryMask) {
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XCTAssertNotNil(result.categoryMask);
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} else {
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XCTAssertNil(result.categoryMask);
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}
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XCTAssertLessThan(index, result.confidenceMasks.count);
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[self assertConfidenceMask:result.confidenceMasks[index]
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approximatelyEqualsExpectedConfidenceMaskImageWithFileInfo:expectedConfidenceMaskFileInfo
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withMaskSimilarityThreshold:maskSImilarityThreshold];
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}
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- (MPPImageSegmenterResult *)segmentImageWithFileInfo:(MPPFileInfo *)fileInfo
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regionOfInterest:(MPPRegionOfInterest *)regionOfInterest
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usingInteractiveSegmenter:
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(MPPInteractiveSegmenter *)interactiveSegmenter {
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MPPImage *image = [MPPImage imageWithFileInfo:fileInfo];
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XCTAssertNotNil(image);
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NSError *error;
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MPPImageSegmenterResult *result = [interactiveSegmenter segmentImage:image
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regionOfInterest:regionOfInterest
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error:&error];
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XCTAssertNil(error);
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XCTAssertNotNil(result);
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return result;
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}
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- (void)assertCategoryMask:(MPPMask *)categoryMask
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approximatelyEqualsExpectedCategoryMaskImageWithFileInfo:
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(MPPFileInfo *)expectedCategoryMaskImageFileInfo
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withMaskSimilarityThreshold:(const float)maskSImilarityThreshold {
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MPPMask *expectedCategoryMask =
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[[MPPMask alloc] initWithImageFileInfo:expectedCategoryMaskImageFileInfo];
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XCTAssertEqual(categoryMask.width, expectedCategoryMask.width);
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XCTAssertEqual(categoryMask.height, expectedCategoryMask.height);
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size_t maskSize = categoryMask.width * categoryMask.height;
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const UInt8 *categoryMaskPixelData = categoryMask.uint8Data;
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const UInt8 *expectedCategoryMaskPixelData = expectedCategoryMask.uint8Data;
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NSInteger consistentPixels = 0;
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for (int i = 0; i < maskSize; i++) {
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consistentPixels +=
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categoryMaskPixelData[i] * kMagnificationFactor == expectedCategoryMaskPixelData[i] ? 1 : 0;
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}
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XCTAssertGreaterThan((float)consistentPixels / (float)maskSize, maskSImilarityThreshold);
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}
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- (void)assertConfidenceMask:(MPPMask *)confidenceMask
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approximatelyEqualsExpectedConfidenceMaskImageWithFileInfo:
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(MPPFileInfo *)expectedConfidenceMaskImageFileInfo
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withMaskSimilarityThreshold:
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(const float)maskSImilarityThreshold {
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MPPMask *expectedConfidenceMask =
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[[MPPMask alloc] initWithImageFileInfo:expectedConfidenceMaskImageFileInfo];
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XCTAssertEqual(confidenceMask.width, expectedConfidenceMask.width);
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XCTAssertEqual(confidenceMask.height, expectedConfidenceMask.height);
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size_t maskSize = confidenceMask.width * confidenceMask.height;
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XCTAssertGreaterThan(
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softIOU(confidenceMask.float32Data, expectedConfidenceMask.float32Data, maskSize),
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maskSImilarityThreshold);
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}
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@end
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