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#!/usr/bin/env python

import os
import math
import cmath
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt

img = cv.imread('bi.jpg')

iKrishneel

#!/usr/bin/env python

import os
import sys

import numpy as np
import cv2 as cv

def main(argv):
    if len(argv) < 3:

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

# (C) 02-27-2018 by Krishneel

import os
import sys
import math
import random
import time

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import numpy as np
from PIL import Image as PILImage


channel = int(np.ceil(len(img_msg.data)/(img_msg.height * img_msg.width)))
im = np.ndarray(shape=(img_msg.height, img_msg.width, channel),
                dtype=np.uint8, buffer=img_msg.data)
pim = PILImage.fromarray(im)

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cmake_minimum_required(VERSION 2.8)
project(linked_list)

add_executable(main linked_list.cpp)
target_link_libraries(main)

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# Tiny example of 3-layer nerual network with dropout in 2nd hidden layer
# Output layer is linear with L2 cost (regression model)
# Hidden layer activation is tanh

import numpy as np

n_epochs = 100
n_samples = 100
n_in = 10
n_hidden = 5

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How to create a custom Caffe layer in Python?

This tutorial will guide through the steps to create a simple custom layer for Caffe using python. By the end of it, there are some examples of custom layers.

###- Why would I want to do that? Usually you would create a custom layer to implement a funcionality that isn't available in Caffe, tuning it for your requirements.

###- What will I need? Probably just Python and Caffe instaled.

###- Is there any downside?

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name: "CaffeNet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 10 dim: 3 dim: 227 dim: 227 } }
}
layer {
  name: "conv1"
  type: "Convolution"

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#!/usr/bin/env bash

# Copyright (C) 2016 by Krishneel Chaudhary @ JSK Lab, The University
# of Tokyo, Japan

function install-glog {
    /bin/echo -e "\e[1;32m[LOG] Installing GLOG \e[0m"
    
    ipwd=$PWD
    cd /tmp/

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#!/usr/bin/env bash

sudo apt-get update
sudo apt-get install libopencv-dev build-essential checkinstall cmake pkg-config yasm libtiff4-dev libjpeg-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev python-dev python-numpy libtbb-dev  libqt4-dev libgtk2.0-dev libfaac-dev libmp3lame-dev  libopencore-amrnb-dev libopencore-amrwb-dev  libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils doxygen git

sudo add-apt-repository ppa:mc3man/trusty-media
sudo apt-get update
sudo apt-get install ffmpeg

sudo apt-get install git