Coderx7

#in the name of Allah, the most compassionate the most merciful
#run this scrip under python2. python3 would work, but not prefectly. e.g. running this script and setting oversample to true in 
#net.predict([input_image], oversample=True) will cause a crash. but it works just fine under python2.

import numpy as np
import os, sys, getopt

# Main path to your caffe installation
caffe_root = '/path/to/your/caffe/'
# Model prototxt file

Coderx7

# Typical setup to include TensorFlow.
import tensorflow as tf

# Make a queue of file names including all the JPEG images files in the relative
# image directory.
filename_queue = tf.train.string_input_producer(
    tf.train.match_filenames_once("./images/*.jpg"))

# Read an entire image file which is required since they're JPEGs, if the images
# are too large they could be split in advance to smaller files or use the Fixed

Coderx7

#!/usr/bin/python
# -*- coding: utf-8 -*-

# Author: Axel Angel, copyright 2015, license GPLv3.
# added mean subtraction so that, the accuracy can be reported accurately just like caffe when doing a mean subtraction
# Seyyed Hossein Hasan Pour
# [email protected]
# 7/3/2016 

import sys

Coderx7

Caffe + Ubuntu 12.04 64bit + CUDA 6.5 配置说明

本步骤能实现用Intel核芯显卡来进行显示， 用NVIDIA GPU进行计算。

1. 安装开发所需的依赖包

安装开发所需要的一些基本包

sudo apt-get install build-essential
sudo apt-get install vim cmake git
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev

Coderx7

layers {
  name: "conv1A"
  type: CONVOLUTION
  bottom: "data"
  top: "conv1A"
  blobs_lr: 1
  blobs_lr: 2
  weight_decay: 1
  weight_decay: 0
  convolution_param {