bazel、tensorflow_serving、opencv編譯問題

本文轉載自查看原文 2018-03-15 16:58 887 Tensorflow

1、出現該錯誤表示opencv沖突，該機器上有多個opencv版本。

解決方法：卸載低版本opencv

2、bazel中BUILD的寫法：

copts中放置-I/usr/include/、-D
linkopts中放置-lopencv_core、-std=c++11、-L/usr/lib64
出現編譯錯誤時，可以使用--verbose_failures來打印錯誤處的詳細編譯命令，以此查找腳本的錯誤
```
bazel build tensorflow/... --verbose_failures
```

 1 package(
 2     default_visibility = ["//tensorflow_serving:internal"],
 3     features = ["no_layering_check"],
 4 )
 5 
 6 licenses(["notice"])  # Apache 2.0
 7 
 8 exports_files(["LICENSE"])
 9 
10 load("//tensorflow_serving:serving.bzl", "serving_proto_library")
11 
12 filegroup(
13     name = "all_files",
14     srcs = glob(
15         ["**/*"],
16         exclude = [
17             "**/METADATA",
18             "**/OWNERS",
19         ],
20     ),
21 )
22 
23 cc_library(
24     name = "recog_proc",
25     srcs = glob([
26         "ImageProc.cpp",
27     ]),
28     hdrs = [
29         "ImageProc.h",
30     ],
31     copts = [
32         "-I/usr/include/",
33         "-I/usr/include/ImageMagick/",
34     ],
35     deps = [
36         "//tensorflow_serving/apis:prediction_service_proto",
37         "@grpc//:grpc++",
38         "@org_tensorflow//tensorflow/core:framework",
39         "@protobuf_archive//:protobuf_lite",
40     ],
41     visibility = [ 
42         "//visibility:public",
43     ],
44 )
45 
46 cc_binary(
47     name = "recog_srv_cc",
48     srcs = glob([
49         "main.cpp",
50     ]),
51     copts = [
52         "-I/usr/include/",
53         "-L/usr/lib64",
54         "-DSS_LOG_DEFAULT_MODULE=recog",
55     ],
56     linkopts = [
57         "-lACE",
58         "-lssplatform",
59         "-ljsoncpp",
60         "-lopencv_core",
61         "-lopencv_imgproc",
62         "-lopencv_highgui",
63         "-lopencv_imgcodecs",
64         "-lopencv_photo",
65         "-lMagick++",
66         "-lMagickCore",
67         "-lMagickWand",
68         "-Wl,-no-undefined",
69         "-Wno-reorder",
70         "-std=c++11",
71         "-pthread",
72         "-g",
73         "-L/usr/local/lib64",
74     ],
75     deps = [
76         ":recog_proc",
77     ],
78 )

示例：

免責聲明！

本站轉載的文章為個人學習借鑒使用，本站對版權不負任何法律責任。如果侵犯了您的隱私權益，請聯系本站郵箱yoyou2525@163.com刪除。

猜您在找 Bazel 編譯工具; tensorflow 編譯編譯tensorflow-serving錯誤no such package '@icu//' tensorflow和bazel版本對應問題及對應的bazel安裝 tensorflow serving TensorFlow Serving 版本問題---Bazel與tensorflow的對應關系通過Docker構建TensorFlow Serving 模型部署 TensorFlow Serving 如何用 tensorflow serving 部署服務使用tensorflow-serving部署tensorflow模型