skt7

"""
Created on Fri Apr 20 22:21:42 2018

@author: skt
"""

import pytesseract
import cv2

img = cv2.imread('HTYux.jpg')

skt7

# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

skt7

img = 'colors.jpg'
clusters = 5
dc = DominantColors(img, clusters)
colors = dc.dominantColors()
dc.plotClusters()

skt7

img = 'colors.jpg'
clusters = 5
dc = DominantColors(img, clusters)
colors = dc.dominantColors()
dc.plotHistogram()

skt7

import cv2
import numpy as np
import matplotlib.pyplot as plt

class DominantColors:

    def plotHistogram(self):
       
        #labels form 0 to no. of clusters
        numLabels = np.arange(0, self.CLUSTERS+1)

skt7

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

class DominantColors:
  
    def rgb_to_hex(self, rgb):
        return '#%02x%02x%02x' % (int(rgb[0]), int(rgb[1]), int(rgb[2]))
    
    def plotClusters(self):
        #plotting 

skt7

[[234  32  67]
 [253 236 175]
 [199 191  48]
 [162 211 156]
 [240  98  70]]

skt7

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import cv2

#read image
img = cv2.imread('colors.jpg')

#convert from BGR to RGB
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

skt7

import cv2
from sklearn.cluster import KMeans

class DominantColors:

    CLUSTERS = None
    IMAGE = None
    COLORS = None
    LABELS = None