| import os | |
| import tensorflow as tf | |
| import tensorflow.contrib.tensorrt as trt | |
| def get_frozen_graph(graph_file): | |
| """Read Frozen Graph file from disk.""" | |
| with tf.gfile.FastGFile(graph_file, "rb") as f: | |
| graph_def = tf.GraphDef() |
| # 23.03.16, Artsiom Sanakoyeu | |
| import caffe | |
| from caffe import layers as L, params as P | |
| def alexnet(train_data_source, test_data_source, mean_file, train_batch_size=128, test_batch_size=50, database_backend=P.Data.LEVELDB): | |
| """ | |
| Generate the caffe's network specification train_val.prototxt file for Alexnet model, | |
| described in the [AlexNet](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks) publication. | |
| """ |
jamesmead@floehopper.local:~$ sudo dd bs=1m if=/Users/jamesmead/Downloads/2015-02-16-raspbian-wheezy.img of=/dev/disk2
pi@raspberrypi ~ $ sudo raspi-config
# Choose option 1 to "Expand Filesystem" - Ensures that all of the SD card storage is available to the OS
# Choose Finish & reboot
pi@raspberrypi ~ $ sudo apt-get update
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
| #!/usr/bin/env python | |
| class Node( object ): | |
| def __init__( self, end_node = False ): | |
| self.end_node = end_node | |
| self.prefix_count = 0 | |
| self.children = {} | |
