miguelmartin75

import std/[
  os,
  json,
  tables,
  options,
  strformat,
  strutils,
  sugar,
  sequtils,
]

miguelmartin75

SETUP:

Install nim

REPO_PATH=$HOME/repos
cd $REPO_PATH
git clone [email protected]:nim-lang/Nim.git
cd Nim
./build_all.sh

miguelmartin75

gradio
torch
git+https://github.com/facebookresearch/segment-anything.git
git+https://github.com/openai/CLIP.git
opencv-python

miguelmartin75

Chemicals

Rollei Colorchem C-41 kit Manual

This is converted for for US measurements. I will also have my develop times on here.

Colour Developer Mixing Instructions (Converted)

Page 7 of the manual converted. This assumes you have the following US-based measurement devices:

miguelmartin75

from keras.utils import plot_model
from keras.models import Model
from keras.layers import Input, Dense, concatenate

def create_inner_model():
    input=Input((10,))

    d1 = Dense(128)(input)
    d2 = Dense(64)(d1)

miguelmartin75

#include <iostream>
#include <tuple>

template<template <typename T> class X>
struct Wrap
{
    template <typename T, typename... Args>
    struct Deducer
    {
        typedef decltype(std::tuple_cat(std::tuple<X<T>>(), typename Deducer<Args...>::tuple())) tuple;

miguelmartin75

#include <iostream>
#include <algorithm>
#include <vector>
#include <array>

template <typename RandomIt>
void insertion_sort(RandomIt begin, RandomIt end)
{
    // loop through all the elements, from
    // the the second element to the last. 

miguelmartin75

#include <chrono>
#include <cstdint>
#include <iostream>
#include <random>
#include <sstream>

using namespace std;

typedef std::chrono::microseconds time_unit;
static const std::string time_unit_suffix{"us"};

miguelmartin75

#include <iostream>
#include <vector>
#include <list>
#include <cstdlib>
#include <algorithm>
#include <functional>
#include <chrono>

int entries = 10000;

miguelmartin75

import random

HEADS = 0
TAILS = 1

n = input("How many samples do you wish to compute?: ")
p = random.random()

print "probability of getting heads is:", p