Justasic

// libfcgi-dev includes
#define NO_FCGI_DEFINES 1
//#include <fcgio.h>
#include <fcgi_config.h>
#include <fcgi_stdio.h>
#include <string.h>

int main()
{
    FCGX_Request request;

neuro-sys

#include "thread.h"

#include <stdio.h>

#ifdef __WIN32__
    #include <windows.h>
#else
    #include <pthread.h>
    #include <stdlib.h>
#endif // __WIN32__

joelouismarino

from __future__ import print_function
import imageio
from PIL import Image
import numpy as np
import keras

from keras.layers import Input, Dense, Conv2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, Concatenate, Reshape, Activation
from keras.models import Model
from keras.regularizers import l2
from keras.optimizers import SGD

kbarbary

"""example of converting a numpy array to a C++ valarray and back in cython
using copies.

Compile with `python setup.py build_ext --inplace`

Example
-------
>>> import cpptest, numpy as np

>>> x = np.array([0., 1., 2.])

mortennobel

//
// Compile for emscripten using
// emcc -Iinclude SingleFileOpenGLTex.cpp \
               -O2 -std=c++14 -s TOTAL_MEMORY=33554432 -s USE_SDL_IMAGE=2 -s SDL2_IMAGE_FORMATS='["png"]' --preload-file examples/data -s USE_SDL=2 -o html/SingleFileOpenGLTex.html
// where the following images must be located in a subfolder
//   - examples/data/test.png
//   - examples/data/cartman.png
//   - examples/data/cube-negx.png
//   - examples/data/cube-negz.png
//

kndt84

name: "MOBILENET"
layer {
  name: "train-data"
  type: "Data"
  top: "data"
  top: "label"
  transform_param {
    mirror: true
    crop_size: 224
  }

kndt84

name: "MOBILENET_V2"
layer {
  name: "train-data"
  type: "Data"
  top: "data"
  top: "label"
  transform_param {
    mirror: true
    crop_size: 224
  }

ashutoshsatapathy1990

# ResNet18
name: "ResNet18"
layer {
  name: "train-data"
  type: "Data"
  top: "data"
  top: "label"
  transform_param {
    mirror: true
    crop_size: 224