still accuracy is only 24%
How to convert image into dataframe
In your updated code, what is the shape of arr right before this line of code?
df=pd.DataFrame(arr.reshape(-1, 3),columns=['r', 'g', 'b'])
Better if you could just share the updated code with me.
i have omitted the index and now accuracy is 73%
Hey Stuti,
One improvement you can make is that opencv reads images in BGR order by default whereas in this problem, we need to submit RGB ordering. A simple fix is to change this order just after reading the image using this line of code:
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
i did it that before submitting …
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I am interested to share my thought to know what happening in the background, I hope you aware of it. I make 4x4x3 image in Photoshop and then reshape into (-1,3). The codes as follows
import cv2
import numpy as np
import pandas as pd
im = cv2.imread('template_3.jpg')
print(im.shape)
print(im)
a = im.reshape(-1,3)
df = pd.DataFrame(a,columns=['r','g','b'])
print(df)
