1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "../InferenceTest.hpp"
6 #include "../ImagePreprocessor.hpp"
7 #include "armnnTfParser/ITfParser.hpp"
8
main(int argc,char * argv[])9 int main(int argc, char* argv[])
10 {
11 int retVal = EXIT_FAILURE;
12 try
13 {
14 // Coverity fix: The following code may throw an exception of type std::length_error.
15 std::vector<ImageSet> imageSet =
16 {
17 {"Dog.jpg", 209},
18 // Top five predictions in tensorflow:
19 // -----------------------------------
20 // 209:Labrador retriever 0.46392533
21 // 160:Rhodesian ridgeback 0.29911423
22 // 208:golden retriever 0.108059585
23 // 169:redbone 0.033753652
24 // 274:dingo, warrigal, warragal, ... 0.01232666
25
26 {"Cat.jpg", 283},
27 // Top five predictions in tensorflow:
28 // -----------------------------------
29 // 283:tiger cat 0.6508582
30 // 286:Egyptian cat 0.2604343
31 // 282:tabby, tabby cat 0.028786005
32 // 288:lynx, catamount 0.020673484
33 // 40:common iguana, iguana, ... 0.0080499435
34
35 {"shark.jpg", 3},
36 // Top five predictions in tensorflow:
37 // -----------------------------------
38 // 3:great white shark, white shark, ... 0.96672016
39 // 4:tiger shark, Galeocerdo cuvieri 0.028302953
40 // 149:killer whale, killer, orca, ... 0.0020228163
41 // 5:hammerhead, hammerhead shark 0.0017547971
42 // 150:dugong, Dugong dugon 0.0003968083
43 };
44
45 armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 });
46
47 using DataType = float;
48 using DatabaseType = ImagePreprocessor<float>;
49 using ParserType = armnnTfParser::ITfParser;
50 using ModelType = InferenceModel<ParserType, DataType>;
51
52 // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
53 retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
54 argc, argv,
55 "mobilenet_v1_1.0_224_frozen.pb", // model name
56 true, // model is binary
57 "input", "MobilenetV1/Predictions/Reshape_1", // input and output tensor names
58 { 0, 1, 2 }, // test images to test with as above
59 [&imageSet](const char* dataDir, const ModelType&) {
60 // This creates a 224x224x3 NHWC float tensor to pass to Armnn
61 return DatabaseType(
62 dataDir,
63 224,
64 224,
65 imageSet);
66 },
67 &inputTensorShape);
68 }
69 catch (const std::exception& e)
70 {
71 // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an
72 // exception of type std::length_error.
73 // Using stderr instead in this context as there is no point in nesting try-catch blocks here.
74 std::cerr << "WARNING: TfMobileNet-Armnn: An error has occurred when running "
75 "the classifier inference tests: " << e.what() << std::endl;
76 }
77 return retVal;
78 }
79