davidefiocco

davidefiocco

davidefiocco

gst-launch-1.0 v4l2src device=/dev/video0 ! xvimagesink

davidefiocco

from torchvision import datasets, models, transforms
from PIL import Image
import torch
import matplotlib.pyplot as plt
from pathlib import Path

images = list(Path('../foo').glob('**/*.*'))
example = images.pop()

img = Image.open(example).convert('RGB')

davidefiocco

davidefiocco

davidefiocco

davidefiocco

import prodigy
from prodigy.components.loaders import Images
from prodigy.util import split_string

def add_label_to_stream(stream, label):
    for eg in stream:
        # The 'label' you get from the command line is a list
        # so let's just assume it's always one and take the first
        eg["label"] = label[0]
        yield eg

davidefiocco

import numpy as np
import shutil
from sklearn.model_selection import train_test_split

cats = ['negative', 'positives']

for cat in cats:
    print(cat)
    if not os.path.exists(data_folder + "/train/" + cat):
        os.makedirs(data_folder + "/train/" + cat)

davidefiocco

Suppose that we want to break
{Hello}, {World}

into
{Hello}, 
{World}

do

= SUBSTITUTE(B2, "}, {", CONCATENATE("'} ", char(10), "{"))