metal3d

package main

import (
	"bytes"
	"context"
	"image"
	"log"
	"sync"

	_ "image/jpeg"

metal3d

Data confidentiality

This application does not store any personal data and consequently does not transmit any data to a third party.

metal3d

# Get the current clean version from your git repo
# - -tagname if the current commit is tagged and no changes were detected
# - branchname-sha if not
# - branchname-sha-dirty if changes were detected and not commited
# Use $(VERSION) to get it, wherever you want in your commands
VERSION=$(shell \
	git describe --exact-match --tags --dirty 2>/dev/null || \
	printf "%s-%s%s" \
		$(shell git branch --show-current) \
		$(shell git log -n1 --pretty=%h) \

metal3d

#!/bin/bash

# Check helm, kubectl and kind
NEEDED=""
for cmd in helm kubectl kind pkexec; do
    if ! command -v $cmd >/dev/null 2>&1; then
        NEEDED="$NEEDED $cmd"
    fi
done
if [ -n "$NEEDED" ]; then

metal3d

package blur

import (
	"image"
	"image/color"
	"image/png"
	_ "image/png"
	"math"
)

metal3d

""" Create dataset """
import os
import uuid

import cv2 as cv

DATA_DIR = "data"
DIRECTIONS = ["up", "down", "right", "left", "neutral"]

metal3d

lines=$(tput lines)
cols=$(tput cols)

awkscript='
  {
    lines=$1
    random_col=$3
    letter=$4
    letters="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789@#$%^&*()"
    letter=substr(letters,letter,1)

metal3d

# Configuration
count=4
clustername=mycluster
admin=admin
password=password

networkname=couchbase
volumename=couchbase

# inside the pods, do not change it

metal3d

""" UI to manually class bad/good images """
import os
import sys
from glob import glob

import cv2 as cv

directory = sys.argv[1]
if not directory:
    sys.exit(1)

metal3d

""" Train model and find bad image from a directory """
import argparse
import os
import time
from glob import glob
from typing import Any

import numpy as np
from tensorflow.python.keras.layers.pooling import MaxPool2D