1. 程式人生 > >深度學習(五十七)tensorflow andorid yolo物體檢測測試

深度學習(五十七)tensorflow andorid yolo物體檢測測試

一、修改tensorflow/workspace檔案,取消android相關注釋:

# Uncomment and update the paths in these entries to build the Android demo.
android_sdk_repository(
    name = "androidsdk",
    api_level = 24,
    # Ensure that you have the build_tools_version below installed in the 
    # SDK manager as it updates periodically.
    build_tools_version = "25.0.2",
    # Replace with path to Android SDK on your system
    path = "/home/research/Android/Sdk",
)
#
# Android NDK r12b is recommended (higher may cause issues with Bazel)
android_ndk_repository(
    name="androidndk",
    path="/home/research/Android/Sdk/ndk-bundle",
    # This needs to be 14 or higher to compile TensorFlow. 
    # Note that the NDK version is not the API level.
    api_level=14)

二、修改 android:build.gradle 中bazel路徑,預設的是如下的:

def bazelLocation = '/usr/local/bin/bazel'

但是在該路徑下並沒有bazel,因此會報如下錯:
Error:Execution failed for task ':buildNativeBazel'.
A problem occurred starting process 'command '/usr/local/bin/bazel''
此時只需要把路徑改成你的bazel路徑就好,比如我的是:
def bazelLocation = '/usr/bin/bazel'

三、程式碼結構基類Classifier.java,三個子類: