Added and modified the vanilla tensorflow values for inception and mobilenet
Change-Id: Ib0d59015aa104909f3922f9749e3787e15c7c86e
diff --git a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
index 44bbb70..6748b12 100644
--- a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
+++ b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
@@ -17,27 +17,29 @@
{"Dog.jpg", 209},
// Top five predictions in tensorflow:
// -----------------------------------
- // 209:Labrador retriever 0.949995
- // 160:Rhodesian ridgeback 0.0270182
- // 208:golden retriever 0.0192866
- // 853:tennis ball 0.000470382
- // 239:Greater Swiss Mountain dog 0.000464451
+ // 209:Labrador retriever 0.46392533
+ // 160:Rhodesian ridgeback 0.29911423
+ // 208:golden retriever 0.108059585
+ // 169:redbone 0.033753652
+ // 274:dingo, warrigal, warragal, ... 0.01232666
+
{"Cat.jpg", 283},
// Top five predictions in tensorflow:
// -----------------------------------
- // 283:tiger cat 0.579016
- // 286:Egyptian cat 0.319676
- // 282:tabby, tabby cat 0.0873346
- // 288:lynx, catamount 0.011163
- // 289:leopard, Panthera pardus 0.000856755
+ // 283:tiger cat 0.6508582
+ // 286:Egyptian cat 0.2604343
+ // 282:tabby, tabby cat 0.028786005
+ // 288:lynx, catamount 0.020673484
+ // 40:common iguana, iguana, ... 0.0080499435
+
{"shark.jpg", 3},
// Top five predictions in tensorflow:
// -----------------------------------
- // 3:great white shark, white shark, ... 0.996926
- // 4:tiger shark, Galeocerdo cuvieri 0.00270528
- // 149:killer whale, killer, orca, ... 0.000121848
- // 395:sturgeon 7.78977e-05
- // 5:hammerhead, hammerhead shark 6.44127e-055
+ // 3:great white shark, white shark, ... 0.96672016
+ // 4:tiger shark, Galeocerdo cuvieri 0.028302953
+ // 149:killer whale, killer, orca, ... 0.0020228163
+ // 5:hammerhead, hammerhead shark 0.0017547971
+ // 150:dugong, Dugong dugon 0.0003968083
};
armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 });
@@ -50,10 +52,10 @@
// Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
argc, argv,
- "mobilenet_v1_1.0_224_frozen.pb", // model name
- true, // model is binary
- "input", "MobilenetV1/Predictions/Reshape_1", // input and output tensor names
- { 0, 1, 2 }, // test images to test with as above
+ "mobilenet_v1_1.0_224_frozen.pb", // model name
+ true, // model is binary
+ "input", "MobilenetV1/Predictions/Reshape_1", // input and output tensor names
+ { 0, 1, 2 }, // test images to test with as above
[&imageSet](const char* dataDir, const ModelType&) {
// This creates a 224x224x3 NHWC float tensor to pass to Armnn
return DatabaseType(