prabindh

# https://stackoverflow.com/questions/56069411
# The TF code
score_inputs = tf.placeholder(np.float32, shape=(None, 100))
targets = tf.placeholder(np.float32, shape=(None), name="targets")

l2 = tf.contrib.layers.l2_regularizer(0.01)

first_layer = tf.layers.dense(score_inputs, 100, activation=tf.nn.relu, kernel_regularizer=l2)
outputs = tf.layers.dense(first_layer, 1, activation = None, kernel_regularizer=l2)

prabindh

import os
import json

def path_to_dict(path):
    d = {'name': os.path.basename(path)}
    if os.path.isdir(path):
        d['type'] = "directory"
        d['children'] = [path_to_dict(os.path.join(path,x)) for x in os.listdir\
(path)]
    else:

prabindh

# -*- coding: utf-8 -*-
"""
Created on Mon Jun 13 16:59:53 2016
From - https://stats.stackexchange.com/questions/218407/encoding-angle-data-for-neural-network
@author: Ari
"""

from numpy import savetxt, loadtxt, round, zeros, sin, cos, arctan2, clip, pi, tanh, exp, arange, dot, outer, array, shape, zeros_like, reshape, mean, median, max, min
from numpy.random import rand, shuffle
import matplotlib.pyplot as plt

prabindh

// Call like below
// boxedMat will contain resized image
// boxedMat = __LetterBoxResize(floatMat, net->w, net->h);
//
// Taken mostly from https://jdhao.github.io/2017/11/06/resize-image-to-square-with-padding/

cv::Mat ArapahoV2::__LetterBoxResize(cv::Mat img, int w, int h)
{
    cv::Mat intermediateImg, outputImg;
    int delta_w, delta_h, top, left, bottom, right;

prabindh

###
### CMake wrapper script for building darknet-cpp as ExternalProject
###
### Platforms supported: Only Linux, perhaps Mac. Windows not supported.
###    Refer to the darknet/Makefile for the GPU/OPENCV flag options
###    Options have to be set in the darknet/Makefile before invoking this script.
###    All requirements (CUDA, CUDNN) need to be installed before invoking this script.
###
### Read https://github.com/prabindh/darknet for further details on build
###

prabindh

bool ArapahoV2::Detect(
    const cv::Mat & inputMat,
    float thresh,
    float hier_thresh,
    int & objectCount)
{
    int count = 0;

    objectCount = 0;
    threshold = thresh;

prabindh

// ** NOTE: You would need to perform a "cudaSetDevice(gpuId)" with this same gpuId before any CUDA operations are performed on this gpuId

bool ArapahoV2::Setup(
            ArapahoV2Params & p,
            int & expectedWidth,
            int & expectedHeight
            int gpuId
                     )
{
    /// All old stuff

prabindh

#if CUDNN_MAJOR >= 6
cudnnSetConvolution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->stride, 1, 1, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT);
#else
cudnnSetConvolution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->stride, 1, 1, CUDNN_CROSS_CORRELATION);
#endif

prabindh

public class JsDialogHandler : IJsDialogHandler
{
  string result = "default";
  public bool OnJSDialog(IWebBrowser browserControl, IBrowser browser, string originUrl,
            CefJsDialogType dialogType, string messageText, string defaultPromptText,
            IJsDialogCallback callback, ref bool suppressMessage)
  {
    suppressMessage = true;
    if (dialogType == CefJsDialogType.Prompt)
    {

prabindh

`configure' configures TI Graphics SDK 4.09.00.01 to adapt to many kinds of systems.

Usage: ./configure [OPTION]... [VAR=VALUE]...

To assign environment variables (e.g., CC, CFLAGS...), specify them as
VAR=VALUE.  See below for descriptions of some of the useful variables.

Defaults for the options are specified in brackets.

Configuration: