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Tensroflow androidデモアプリでretrained inception-v3モデルを使用しようとしていますが、出力は表示されません。私はTensorflow Androidデモ：出力なし
Trainded説明retrain inceptionあたりのモデルを行っている何
。トレーニング（5個のみのクラス）の後、私は
bazel build tensorflow/examples/label_image:label_image &&
bazel-bin/tensorflow/examples/label_image/label_image \
--output_layer=final_result \
--labels=/tf_files/retrained_labels.txt \
--image=/home/hannan/Desktop/images.jpg \
--graph=/tf_files/retrained_graph.pb
と、次の出力
I tensorflow/examples/label_image/main.cc:206] shoes (3): 0.997833
I tensorflow/examples/label_image/main.cc:206] chair (1): 0.00118802
I tensorflow/examples/label_image/main.cc:206] door lock (2): 0.000544737
I tensorflow/examples/label_image/main.cc:206] bench (4): 0.000354453
I tensorflow/examples/label_image/main.cc:206] person (0): 7.93592e-05
が
bazel build tensorflow/python/tools:optimize_for_inference
bazel-bin/tensorflow/python/tools/optimize_for_inference \
--input=/tf_files/retrained_graph.pb \
--output=/tf_files/optimized_graph.pb \
--input_names=Mul \
--output_names=final_result
を使用して推論の最適化を完了し、出力グラフをテストしている使用してグラフをテストしています再びうまく動作します。
はfinaly次strip_unsued.py
python strip_unused.py \
--input_graph=/tf_files/optimized_graph.pb \
--output_graph=/tf_files/stirpped_graph.pb\
--input_node_names="Mul" \
--output_node_names="final_result" \
--input_binary=true
はグラフが再び正常に動作試験を走りました。分類子の活動
private static final int NUM_CLASSES = 5;
private static final int INPUT_SIZE = 229;
private static final int IMAGE_MEAN = 128;
private static final float IMAGE_STD = 128;
private static final String INPUT_NAME = "Mul:0";
private static final String OUTPUT_NAME = "final_result:0";
private static final String MODEL_FILE"file:///android_asset/optimized_graph.pb";
private static final String LABEL_FILE = "file:///android_asset/retrained_labels.txt";
ビルド&で
Androidアプリchnagesは、プロジェクトを実行しました。
D/tensorflow: CameraActivity: onCreate [email protected]
W/ResourceType: For resource 0x0103045b, entry index(1115) is beyond type entryCount(1)
W/ResourceType: For resource 0x01030249, entry index(585) is beyond type entryCount(1)
W/ResourceType: For resource 0x01030249, entry index(585) is beyond type entryCount(1)
W/ResourceType: For resource 0x01030248, entry index(584) is beyond type entryCount(1)
W/ResourceType: For resource 0x01030247, entry index(583) is beyond type entryCount(1)
D/PhoneWindowEx: [PWEx][generateLayout] setLGNavigationBarColor : colors=0xff000000
I/PhoneWindow: [setLGNavigationBarColor] color=0x ff000000
D/tensorflow: CameraActivity: onStart [email protected]
D/tensorflow: CameraActivity: onResume [email protected]
D/OpenGLRenderer: Use EGL_SWAP_BEHAVIOR_PRESERVED: false
D/PhoneWindow: notifyNavigationBarColor, color=0x: ff000000, token: [email protected]
I/OpenGLRenderer: Initialized EGL, version 1.4
I/CameraManagerGlobal: Connecting to camera service
I/tensorflow: CameraConnectionFragment: Adding size: 1920x1440
I/tensorflow: CameraConnectionFragment: Adding size: 1920x1088
I/tensorflow: CameraConnectionFragment: Adding size: 1920x1080
I/tensorflow: CameraConnectionFragment: Adding size: 1280x720
I/tensorflow: CameraConnectionFragment: Adding size: 960x720
I/tensorflow: CameraConnectionFragment: Adding size: 960x540
I/tensorflow: CameraConnectionFragment: Adding size: 800x600
I/tensorflow: CameraConnectionFragment: Adding size: 864x480
I/tensorflow: CameraConnectionFragment: Adding size: 800x480
I/tensorflow: CameraConnectionFragment: Adding size: 720x480
I/tensorflow: CameraConnectionFragment: Adding size: 640x480
I/tensorflow: CameraConnectionFragment: Adding size: 480x368
I/tensorflow: CameraConnectionFragment: Adding size: 480x320
I/tensorflow: CameraConnectionFragment: Not adding size: 352x288
I/tensorflow: CameraConnectionFragment: Not adding size: 320x240
I/tensorflow: CameraConnectionFragment: Not adding size: 176x144
I/tensorflow: CameraConnectionFragment: Chosen size: 480x320
I/TensorFlowImageClassifier: Reading labels from: retrained_labels.txt
I/TensorFlowImageClassifier: Read 5, 5 specified
I/native: tensorflow_inference_jni.cc:97 Native TF methods loaded.
I/TensorFlowInferenceInterface: Native methods already loaded.
I/native: tensorflow_inference_jni.cc:85 Creating new session variables for 7e135ad551738da4
I/native: tensorflow_inference_jni.cc:113 Loading Tensorflow.
I/native: tensorflow_inference_jni.cc:120 Session created.
I/native: tensorflow_inference_jni.cc:126 Acquired AssetManager.
I/native: tensorflow_inference_jni.cc:128 Reading file to proto: file:///android_asset/optimized_graph.pb
I/native: tensorflow_inference_jni.cc:132 GraphDef loaded from file:///android_asset/optimized_graph.pb with 515 nodes.
I/native: stat_summarizer.cc:38 StatSummarizer found 515 nodes
I/native: tensorflow_inference_jni.cc:139 Creating TensorFlow graph from GraphDef.
I/native: tensorflow_inference_jni.cc:151 Initialization done in 931.7ms
I/tensorflow: ClassifierActivity: Sensor orientation: 90, Screen orientation: 0
I/tensorflow: ClassifierActivity: Initializing at size 480x320
I/CameraManager: Using legacy camera HAL.
I/tensorflow: CameraConnectionFragment: Opening camera preview: 480x320
I/CameraDeviceState: Legacy camera service transitioning to state CONFIGURING
I/RequestThread-0: Configure outputs: 2 surfaces configured.
D/Camera: app passed NULL surface
I/[MALI][Gralloc]: dlopen libsec_mem.so fail
I/Choreographer: Skipped 89 frames! The application may be doing too much work on its main thread.
I/Timeline: Timeline: Activity_idle id: [email protected] time:114073819
I/CameraDeviceState: Legacy camera service transitioning to state IDLE
I/RequestQueue: Repeating capture request set.
W/LegacyRequestMapper: convertRequestMetadata - control.awbRegions setting is not supported, ignoring value
W/LegacyRequestMapper: Only received metering rectangles with weight 0.
W/LegacyRequestMapper: Only received metering rectangles with weight 0.
E/Camera: Unknown message type -2147483648
I/CameraDeviceState: Legacy camera service transitioning to state CAPTURING
I/[MALI][Gralloc]: lock_ycbcr: videobuffer_status is invalid, use default value
I/[MALI][Gralloc]: lock_ycbcr: videobuffer_status is invalid, use default value
D/tensorflow: CameraActivity: Initializing buffer 0 at size 153600
D/tensorflow: CameraActivity: Initializing buffer 1 at size 38400
D/tensorflow: CameraActivity: Initializing buffer 2 at size 38400
I/[MALI][Gralloc]: lock_ycbcr: videobuffer_status is invalid, use default value
I/[MALI][Gralloc]: lock_ycbcr: videobuffer_status is invalid, use default value
私は何も出力が示されていないオブジェクトを識別するためにアプリを使用トレースバック。 Output
が、この1つはまた、ログ
I/native: tensorflow_inference_jni.cc:228 End computing. Ran in 4639ms (4639ms avg over 1 runs)
E/native: tensorflow_inference_jni.cc:233 Error during inference: Invalid argument: computed output size would be negative
[[Node: pool_3 = AvgPool[T=DT_FLOAT, data_format="NHWC", ksize=[1, 8, 8, 1], padding="VALID", strides=[1, 1, 1, 1], _device="/job:localhost/replica:0/task:0/cpu:0"](mixed_10/join)]]
E/native: tensorflow_inference_jni.cc:170 Output [final_result] not found, aborting!
I/[MALI][Gralloc]: lock_ycbcr: videobuffer_status is invalid, use default value