rexlow

#!/usr/bin/python3

# Sample GAN implementation for learning purposes only
# The network will model 2 different dataset of different distribution and 
# train Generator to approximate the Distributor's distribution better

import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim

rexlow

let hasBlobConstructor = typeof(Blob) !== 'undefined' && (function () {
    try {
        return Boolean(new Blob());
    } catch (e) {
        return false;
    }
}());

let hasArrayBufferViewSupport = hasBlobConstructor && typeof(Uint8Array) !== 'undefined' && (function () {
    try {

rexlow

[
    {
        "vote_count": 417,
        "id": 429203,
        "video": false,
        "vote_average": 6.4,
        "title": "The Old Man & the Gun",
        "popularity": 304.393,
        "poster_path": "/a4BfxRK8dBgbQqbRxPs8kmLd8LG.jpg",
        "original_language": "en",

rexlow

def calculate_distribution(loader):
    step = 0
    mean = torch.empty(3)
    std = torch.empty(3)

    for data, label in loader:
        b, c, h, w = data.shape
        total_pixels = b * h * w
        sum_ = torch.sum(data, dim=[0, 2, 3])
        sum_of_square = torch.sum(data ** 2, dim=[0, 2, 3])

rexlow

name: "Face-ResNet"
layer {
  name: "data"
  type: "ImageData"
  top: "data"
  top: "label"
  include { 
    phase: TRAIN
  }
  transform_param {

rexlow

"""
Inception ResNet V2

Official Tensorflow Implementation 
    @ https://github.com/tensorflow/models/blob/master/research/slim/nets/inception_resnet_v2.py

Paper 
    @ http://arxiv.org/abs/1602.07261

Naming convention in the official TF-slim implementation

rexlow

#!/usr/bin/python3

import time
import json
import urllib
from tornado.ioloop import IOLoop
from tornado.gen import coroutine
from tornado.httpserver import HTTPServer
from tornado.concurrent import run_on_executor
from tornado.web import Application, RequestHandler

rexlow

name: "HED"
layer {
  name: "data"
  type: "ImageLabelmapData"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {

rexlow

""" File name : NumpyPerformanceTest.py

Description : This script is to profile the performance of different numpy methods

Usage : python3 NumpyPerformanceTest.py

Author : Rex Low
"""

import cv2

rexlow

name: "SE-ResNet-50"
# mean_value: 104, 117, 123
layer { 
  name: "data"
  type: "Input"
  top: "data"
  input_param: {
    shape: {
      dim: 1 
      dim: 3