francoisruty

var test = "hello";

francoisruty

version: '2'

services:

  load-balancer:
    image: nginx
    ports: ["80:80"]
    volumes: ["./example.conf:/etc/nginx/conf.d/example.conf:ro"]

  web-server:

francoisruty

version: '2'
services:

  registry:
    image: registry:2
    ports:
        - "127.0.0.1:5500:5000"
    environment:
      REGISTRY_STORAGE_DELETE_ENABLED: 'true'

francoisruty

  registry:
    image: registry:2
    ports:
      - 127.0.0.1:5500:5000
    environment:
      REGISTRY_STORAGE_DELETE_ENABLED: 'true'
      REGISTRY_STORAGE_S3_ACCESSKEY: ${AWS_ACCESS_KEY}
      REGISTRY_STORAGE_S3_SECRETKEY: ${AWS_SECRET_KEY}
    volumes:
      ["./config.yml:/etc/docker/registry/config.yml"]

francoisruty

# Run those commands:
conda update conda
conda update anaconda
conda update python
conda update –all
conda create –name tf-gpu
cmd
activate tf-gpu
conda install -c aaronzs tensorflow-gpu   #(note: this channel proposes a recent Tensorflow binary for windows)
conda install -c anaconda cudatoolkit

francoisruty

version: '2'
services:

  worker:
    build: .
    environment:
      PG_DATABASE: ${PG_DATABASE}
      PG_USER: ${PG_USER}
      PG_PASSWORD: ${PG_PASSWORD}
    volumes:

francoisruty

version: '2'
services:

  #RabbitMQ broker, for Celery
  rabbit:
    hostname: rabbit
    image: rabbitmq:3.7.3
    environment:
      - RABBITMQ_DEFAULT_USER=${RABBITMQ_DEFAULT_USER}
      - RABBITMQ_DEFAULT_PASS=${RABBITMQ_DEFAULT_PASS}

francoisruty

version: '2'
services:

  nginx-front:
    image: nginx:stable
    ports:
      - "3000:80"
    volumes:
      - ./nginx-front.conf:/etc/nginx/nginx.conf
    links:

francoisruty

import cv2
import numpy as np
import math

cx = 88 #principal point x coord
cy = 109 #principal point y coord
w = 178 #image width
h = 218 #image height
near = 10 #near plane
far = 20 #far plane

francoisruty

version: '2'
services:

  nginx-front:
    image: nginx:stable
    ports:
      - "3000:80"
    volumes:
      - ./nginx-front.conf:/etc/nginx/nginx.conf
    links: