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Added swift image classifier test for quantized model

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This commit is contained in:
Prianka Liz Kariat 2023-03-29 21:06:50 +05:30
parent b354795d00
commit d2780e4251
1 changed files with 28 additions and 0 deletions
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28
mediapipe/tasks/ios/test/vision/image_classifier/ImageClassifierTests.swift
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@ -28,6 +28,10 @@ class ImageClassifierTests: XCTestCase {
forResource: "mobilenet_v2_1.0_224",
ofType: "tflite")
static let quantizedModelPath = bundle.path(
forResource: "mobilenet_v1_0.25_224_quant",
ofType: "tflite")
static let burgerImage = FileInfo(name: "burger", type: "jpg")
static let burgerRotatedImage = FileInfo(name: "burger_rotated", type: "jpg")
static let multiObjectsImage = FileInfo(name: "multi_objects", type: "jpg")
@ -258,6 +262,30 @@ class ImageClassifierTests: XCTestCase {
ImageClassifierTests.expectedResultsClassifyBurgerImageWithFloatModel)
}
func testClassifyWithQuantizedModelSucceeds() throws {
let imageClassifierOptions =
try XCTUnwrap(
imageClassifierOptionsWithModelPath(
ImageClassifierTests.quantizedModelPath))
let imageClassifier = try XCTUnwrap(ImageClassifier(options: imageClassifierOptions))
let expectedCategories = [
ResultCategory(
index: 934,
score: 0.972656,
categoryName: "cheeseburger",
displayName: nil),
]
try assertResultsForClassifyImageWithFileInfo(
ImageClassifierTests.burgerImage,
usingImageClassifier: imageClassifier,
hasCategoryCount: ImageClassifierTests.mobileNetCategoriesCount,
andCategories: expectedCategories)
}
func testClassifyWithScoreThresholdSucceeds() throws {
let imageClassifierOptions =