1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "../InferenceTest.hpp"
#include "../MobileNetDatabase.hpp"
#include "armnnTfParser/ITfParser.hpp"
int main(int argc, char* argv[])
{
std::vector<ImageSet> imageSet =
{
{"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
{"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
{"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
};
armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 });
return armnn::test::ClassifierInferenceTestMain<MobileNetDatabase, armnnTfParser::ITfParser>(
argc, argv, "mobilenet_v1_1.0_224_fp32.pb", true, "input", "output", { 0, 1, 2 },
[&imageSet](const char* dataDir) {
return MobileNetDatabase(
dataDir,
224,
224,
imageSet);
},
&inputTensorShape);
}
|
