l4rz

import copy
import os
import click
import numpy as np
import PIL.Image
import PIL.ImageOps
import torch
import dnnlib
import legacy
from tqdm import tqdm

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#
# ALEPH by Advadnoun, https://colab.research.google.com/drive/1Q-TbYvASMPRMXCOQjkxxf72CXYjR_8Vp
# "This is a notebook that uses DALL-E's decoder and CLIP to generate images from text. I will very likely make this better & easier to use in the future."
#
# rearranged to run locally on faster GPU
#
# directions:
# clone https://github.com/openai/DALL-E/ and https://github.com/openai/CLIP
# copy relevant files into one dir with this script
# install torch==1.7.1 and other stuff

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import torch
import clip
from PIL import Image
from pathlib import Path
import random, sys, string
import shutil
import os

device = "cuda" if torch.cuda.is_available() else "cpu"
model, preprocess = clip.load("ViT-B/32", device=device)

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PyOpenVR?
https://github.com/cmbruns/pyopenvr
https://github.com/cmbruns/pyopenvr/blob/master/src/samples/glfw/hellovr_glfw.py

VR API for Python?
https://github.com/harfang3d

OpenCV VR Controllers
https://github.com/angrammenos97/OpenCV-VR-Controllers

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from mtcnn import MTCNN
detector = MTCNN()

data = detector.detect_faces(cv.cvtColor(imq, cv.COLOR_BGR2RGB))

box = data[0]['box']
keypoints = data[0]['keypoints']

# first of all, eyes Y must be within certain % of face height
f_height = int(box[3]  / 0.3 )  # height in px

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MVP: a digit recognition neural network, trained on MNIST dataset
https://medium.com/swlh/a-hello-world-into-image-recognition-with-mnist-eb9b91520db4

---

Simple neural network implementation in C:
https://towardsdatascience.com/simple-neural-network-implementation-in-c-663f51447547
(complete code: https://gist.github.com/espiritusanti/b7485c68a06ef2c8c76d8c62c8c39d8f)

Simple MLP Backpropagation Artificial Neural Network in C++ (Step by Step):

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NAME                            NETWORK          DEST_RANGE       NEXT_HOP                  PRIORITY
default-route-042574ab739c3f72  default          10.156.0.0/20    default                   1000
default-route-0b9f1e6146c66b11  default          10.140.0.0/20    default                   1000
default-route-0d5055943aa5804a  l4rz-euw4a-vpc2  10.3.128.0/20    l4rz-euw4a-vpc2           1000
default-route-11daac8c62e1b09f  default          10.178.0.0/20    default                   1000
default-route-1263525c16e385d7  default          0.0.0.0/0        default-internet-gateway  1000
default-route-185877d5235de021  default          10.174.0.0/20    default                   1000
default-route-185a79c4e35ea184  default          10.154.0.0/20    default                   1000
default-route-236922f973f32b70  default          10.150.0.0/20    default                   1000
default-route-28399d4aa129dc68  default          10.168.0.0/20    default                   1000

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[
  {
    "creationTimestamp": "2020-03-30T14:06:46.377-07:00",
    "description": "Default local route to the subnetwork 10.156.0.0/20.",
    "destRange": "10.156.0.0/20",
    "id": "7426702127196529033",
    "kind": "compute#route",
    "name": "default-route-042574ab739c3f72",
    "network": "https://www.googleapis.com/compute/v1/projects/utility-grin-272721/global/networks/default",
    "nextHopNetwork": "https://www.googleapis.com/compute/v1/projects/utility-grin-272721/global/networks/default",

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NAME             SUBNET_MODE  BGP_ROUTING_MODE  IPV4_RANGE  GATEWAY_IPV4
default          AUTO         REGIONAL
l4rz-euw4a-vpc   CUSTOM       REGIONAL
l4rz-euw4a-vpc2  CUSTOM       REGIONAL
l4rz-euw4a-vpc3  CUSTOM       REGIONAL

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[
  {
    "autoCreateSubnetworks": true,
    "creationTimestamp": "2020-03-30T14:06:23.515-07:00",
    "description": "Default network for the project",
    "id": "6532364033498014112",
    "kind": "compute#network",
    "name": "default",
    "routingConfig": {
      "routingMode": "REGIONAL"