Patrice Ferlet metal3d

## gaussianBlu.go
package blur

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

## make_data.py
""" Create dataset """
import os
import uuid

import cv2 as cv

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


## matrux.sh
lines=$(tput lines)
cols=$(tput cols)

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

## create-couchbas-pods.sh
# Configuration
count=4
clustername=mycluster
admin=admin
password=password

networkname=couchbase
volumename=couchbase

# inside the pods, do not change it

## manual-classification.py
""" 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)

## train.py
""" 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

## Info
Based on https://gist.github.com/tadast/8827699:

- remove duplicates
- striped and no unecessary double quotes
- floating point values instead of strings

## make editable vars in html.html
<html>
    <meta charset="utf-8" />
    <body>
        <pre>
        <code>
            # All you have to do is to prefix variables with "_change_"
            # and let the script to manage the editable values
            FOO="_change_thisvariable"

            this is a command with _change_argument here

## sun_set.py
import bpy
import mathutils

# Author: Patrice Ferlet <metal3d@gmail.com>
# License: GPL

# Works with  Blender 2.80-2.90
# To use this script:
# - paste this script in a "text editor" *inside* blender
# - name it "sun_set.py"

## videoframegenerator.py
# DEPRECATED - please  go to my complete package:
# pipy package https://pypi.org/project/keras-video-generators/
# github sources https://github.com/metal3d/keras-video-generators

import keras
import cv2 as cv
import glob
import numpy as np
import os
import random
	package blur

	import (
	"image"
	"image/color"
	"image/png"
	_ "image/png"
	"math"
	)
	""" Create dataset """
	import os
	import uuid

	import cv2 as cv

	DATA_DIR = "data"
	DIRECTIONS = ["up", "down", "right", "left", "neutral"]
	lines=$(tput lines)
	cols=$(tput cols)

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

	networkname=couchbase
	volumename=couchbase

	# inside the pods, do not change it
	""" 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)
	""" 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
	Based on https://gist.github.com/tadast/8827699:

	- remove duplicates
	- striped and no unecessary double quotes
	- floating point values instead of strings
	<html>
	<meta charset="utf-8" />
	<body>
	<pre>
	<code>
	# All you have to do is to prefix variables with "_change_"
	# and let the script to manage the editable values
	FOO="_change_thisvariable"

	this is a command with _change_argument here
	import bpy
	import mathutils

	# Author: Patrice Ferlet <metal3d@gmail.com>
	# License: GPL

	# Works with Blender 2.80-2.90
	# To use this script:
	# - paste this script in a "text editor" inside blender
	# - name it "sun_set.py"
	# DEPRECATED - please go to my complete package:
	# pipy package https://pypi.org/project/keras-video-generators/
	# github sources https://github.com/metal3d/keras-video-generators

	import keras
	import cv2 as cv
	import glob
	import numpy as np
	import os
	import random