Atinesh Singh atinesh-s

## Dockerfile
FROM ubuntu:18.04

RUN apt-get update \
    && apt-get install -y apt-utils \
    python3.8 \
    python3-pip \
    libgl1-mesa-glx \
    nano

WORKDIR /app

## installing_caffe.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                atinesh-s
                / installing_caffe.md
            
            
              Created
              February 28, 2019 06:21
                — forked from nikitametha/installing_caffe.md
            
              
                Installing Caffe on Ubuntu 16.04 and above (CPU ONLY, WITHOUT CUDA OR GPU SUPPORT) 
              
          
    This is a guide on how to install Caffe for Ubuntu 16.04 and above, without GPU support (No CUDA required).

Prerequisites:

OpenCV

sudo apt-get install libopencv-dev python-opencv
OpenBLAS OR Atlas


## tf_cnn_tmp.py
from preprocess.normalize import normalize_image, resize_image, crop_center, preprocess_signature
import tensorflow.contrib.slim as slim
import skimage.transform
import tensorflow as tf
import skimage.data
import numpy as np
import glob
import cv2
import os

## DESolver.cpp
#include <memory.h>
#include "DESolver.h"

#define Element(a,b,c)  a[b*nDim+c]
#define RowVector(a,b)  (&a[b*nDim])
#define CopyVector(a,b) memcpy((a),(b),nDim*sizeof(double))

DESolver::DESolver(int dim,int popSize) :
					nDim(dim), nPop(popSize),
					generations(0), strategy(stRand1Exp),
	FROM ubuntu:18.04

	RUN apt-get update \
	&& apt-get install -y apt-utils \
	python3.8 \
	python3-pip \
	libgl1-mesa-glx \
	nano

	WORKDIR /app
	from preprocess.normalize import normalize_image, resize_image, crop_center, preprocess_signature
	import tensorflow.contrib.slim as slim
	import skimage.transform
	import tensorflow as tf
	import skimage.data
	import numpy as np
	import glob
	import cv2
	import os
	#include <memory.h>
	#include "DESolver.h"

	#define Element(a,b,c) a[b*nDim+c]
	#define RowVector(a,b) (&a[b*nDim])
	#define CopyVector(a,b) memcpy((a),(b),nDim*sizeof(double))

	DESolver::DESolver(int dim,int popSize) :
	nDim(dim), nPop(popSize),
	generations(0), strategy(stRand1Exp),