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# Pythono3 code to rename multiple | |
import os | |
import glob | |
def main(): | |
caminho = "path/to/archives/" | |
for i, arquivo in enumerate(glob.glob(os.path.join(caminho, "*.jpg"))): | |
new_file = caminho + "name" + str(i) + ".jpg" |
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#include "DHT.h" | |
#define DHTPIN 14 | |
#define DHTTYPE DHT11 | |
const int pino_sinal_analogico = 25; | |
DHT dht(DHTPIN, DHTTYPE); | |
float localHum = 0; | |
float localTemp = 0; | |
float percentUm = 0; | |
int valor_analogico ; |
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# pixels_per_metric = tamanho objeto em px / tamanho real | |
from scipy.spatial import distance as dist | |
from imutils import perspective | |
from imutils import contours | |
import numpy as np | |
import argparse | |
import imutils | |
import cv2 | |
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import cv2 | |
import numpy as np | |
import utils as ut | |
from matplotlib import pyplot as plt | |
img = '/home/brito/Documentos/Dev/tcc/img/f1.jpeg' | |
img = cv2.imread(img) | |
mask = np.zeros(img.shape[:2],np.uint8) | |
bgdModel = np.zeros((1,65),np.float64) |
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def gerar_nos(seq, arr= []): | |
seq = list(seq) | |
saida_array = seq[:3] | |
arr.append(''.join(saida_array)) | |
if len(seq) == 3: | |
return arr | |
seq.pop(0) | |
return gerar_nos(seq) | |
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__author__ = 'sidharthgoyal' | |
import math | |
increment = 0.1 | |
startingPoint = [1, 1] | |
point1 = [1,5] | |
point2 = [6,4] | |
point3 = [5,2] | |
point4 = [2,1] |
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import sklearn.datasets as datasets | |
import pandas as pd | |
from sklearn.tree import DecisionTreeClassifier | |
from sklearn.externals.six import StringIO | |
from IPython.display import Image | |
from sklearn.tree import export_graphviz | |
import pydotplus | |
iris = datasets.load_iris() | |
df = pd.DataFrame(iris.data, columns=iris.feature_names) |
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import os | |
import glob | |
import pandas as pd | |
def main(): | |
data = pd.read_csv('/path/of/txt/', sep=" ", header=None)[0].values.tolist() | |
caminho = "/path/of/files" | |
finded = 0 | |
deleted = 0 | |
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from nkocr import OcrTable | |
text = OcrTable("paste_image_url_here") | |
print(text) # or print(text.text) |
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def remove_lines(image, colors): | |
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) | |
bin_image = cv2.threshold( | |
gray_image, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1] | |
h_contours = get_contours(bin_image, (25, 1)) | |
v_contours = get_contours(bin_image, (1, 25)) | |
for contour in h_contours: | |
cv2.drawContours(image, [contour], -1, colors[0][0], 2) |
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