Diary/2019-5-26の変更点

• 追加された行はこのように表示されます。
• 削除された行はこのように表示されます。

!RaspberryPi 3B+にTensorFlow
コマンド一発だとインストールできなかったので，細々と指定．
 sudo apt install libatlas-base-dev
 sudo pip3 install -U numpy
 sudo pip3 install -U grpcio
 sudo pip3 install -U absl-py
 sudo pip3 install -U py-cpuinfo
 sudo pip3 install -U psutil
 sudo pip3 install -U portpicker
 sudo pip3 install -U grpcio
 sudo pip3 install -U six
 sudo pip3 install -U mock
 sudo pip3 install -U requests
 sudo pip3 isntall -U gast
 sudo pip3 install -U h5py
 sudo pip3 install -U astor
 sudo pip3 install -U termcolor
 sudo pip3 install -U tensorflow_estimator
 sudo pip3 install -U keras-applications
 sudo pip3 install -U keras-preprocessing
 sudo pip3 install -U tensorboard
 sudo pip3 install -U tensorflow

!ベンチマークあれこれ
Jetson TX2 CPUのみ
 $ ./darknet detect cfg/yolov2-tiny.cfg yolov2-tiny.weights data/dog.jpg
 mask_scale: Using default '1.000000'
 Loading weights from yolov2-tiny.weights...Done!
 data/dog.jpg: Predicted in 3.572668 seconds.
 dog: 82%
 car: 74%
 bicycle: 59%
Jetson TX2 CPU+GPU
 $ ./darknet detect cfg/yolov2-tiny.cfg yolov2-tiny.weights data/dog.jpg
 mask_scale: Using default '1.000000'
 Loading weights from yolov2-tiny.weights...Done!
 data/dog.jpg: Predicted in 0.094432 seconds.
 dog: 82%
 car: 74%
 bicycle: 59%
RaspberryPi3B+
 $ ./darknet detect cfg/yolov2-tiny.cfg yolov2-tiny.weights data/dog.jpg
 mask_scale: Using default '1.000000'
 Loading weights from yolov2-tiny.weights...Done!
 data/dog.jpg: Predicted in 26.837525 seconds.
RaspberryPi3B+ +NNPACK
 $ ./darknet detect cfg/yolov2-tiny.cfg yolov2-tiny.weights data/dog.jpg
 mask_scale: Using default '1.000000'
 Loading weights from yolov2-tiny.weights...Done!
 data/dog.jpg: Predicted in 0.978015 seconds.
 dog: 82%
 car: 74%
 bicycle: 59%
Jetson Nano CPU
 $ ./darknet detect cfg/yolov2-tiny.cfg yolov2-tiny.weights data/dog.jpg
 mask_scale: Using default '1.000000'
 Loading weights from yolov2-tiny.weights...Done!
 data/dog.jpg: Predicted in 3.807130 seconds.
 dog: 82%
 car: 74%
 bicycle: 59%
Jetson Nano CPU + GPU
 $ ./darknet detect cfg/yolov2-tiny.cfg yolov2-tiny.weights data/dog.jpg
 mask_scale: Using default '1.000000'
 Loading weights from yolov2-tiny.weights...Done!
 data/dog.jpg: Predicted in 0.159219 seconds.
 dog: 82%
 car: 74%
 bicycle: 59%