iaverypadberg

import qualified Data.Text                 as T
import           Language.Plutus.Contract  hiding (when)
import           Language.PlutusTx.Prelude
import           Playground.Contract

-- | A 'Contract' that logs a message.
hello :: Contract BlockchainActions T.Text ()
hello = logInfo @String "Hello, world"

endpoints :: Contract BlockchainActions T.Text ()

iaverypadberg

/*
    A function to change an ImageProxy to a bitmap
    @param the image input
    @return can be null or a bitmap
 */
fun preProcessImg(image : ImageProxy):Bitmap?{
    val planes = image!!.planes
    val yBuffer = planes[0].buffer
    val uBuffer = planes[1].buffer
    val vBuffer = planes[2].buffer

iaverypadberg

import glob
import subprocess

# Replace this file directory with the location of the xml files
files = glob.glob('/home/isaac/Desktop/work_area/test2_xml/*.xml')
for xml_file in files:

    bashCmd = ["xmllint","-format", "-o", "{}".format(xml_file), "{}".format(xml_file)]

    process = subprocess.Popen(bashCmd, stdout=subprocess.PIPE)

iaverypadberg

# You can substitute out the tags for andy tags you like.
# The ".*" in the center of each tag specifies that any characters with any length can exist inside the tag
cat *.xml | grep -o -e "<name>.*<\/name>\|<filename>.*<\/filename>"

iaverypadberg

from re import T


labels = ["frodo","sam","legolas","gimli","karim benzema"]

# Open a text file to write the bad labels to
with open("bad_labels.txt","w") as bad:

    # Open the text file with all of the data in it
    with open("test2_xml/test.txt") as file:

iaverypadberg

from re import T
import os
import subprocess

from glob import glob

import xml.etree.ElementTree as ET
labels = [
"some",
"labels",

iaverypadberg

import xml.etree.ElementTree as ET
from glob import glob
labels = [
"labels",
"to",
"be",
"removed"]
files = glob('directory/with/xml/files/*.xml')

for file in files:

iaverypadberg

Configuring a tensorflow environment to work with gpu's is really annoying. Thankfully, conda & pipmake it a lot less annoying.

Here are the core dependencies for getting this to work.

• cudatoolkit=11.6.0
• cudnn=8.2.1.32
• tensorflow=2.7.0
• tensorflow-gpu=2.7.0
• tensorflow-io=0.25.0
• python=3.9

iaverypadberg

import random
from re import S
import xml.etree.ElementTree as ET
from glob import glob
import cv2

input_dir ='/home/isaac/Desktop/work_area/working_on/'

files = glob(input_dir+'*.png')
# For each file with a .png extension

iaverypadberg

#from importlib.metadata import files
import xml.etree.ElementTree as ET
import glob


# Sort through a dataset's xml files and print out file names that contain labels which are invalid
valid_labels = ["frodo","baggins"]

# Loop through all xml files
files = glob.glob('/home/isaac/Desktop/work_area/working_on/*.xml')