How to input testImages I have

[Pramod07777]

Hi anujdutt9 thank you for this awesome project,can you please help me on below..As i have converted my sample into MNIST DATASET Image after that i converted to grayscale still i got below error can you please revert on this.

Traceback (most recent call last):
File "svm.py", line 88, in
test_labels_pred = clf.predict(im)
File "/usr/local/lib/python3.5/dist-packages/sklearn/svm/base.py", line 573, in predict
y = super(BaseSVC, self).predict(X)
File "/usr/local/lib/python3.5/dist-packages/sklearn/svm/base.py", line 310, in predict
X = self._validate_for_predict(X)
File "/usr/local/lib/python3.5/dist-packages/sklearn/svm/base.py", line 479, in validate_for_predict
(n_features, self.shape_fit[1]))
ValueError: X.shape[1] = 800 should be equal to 784, the number of features at training time

[anujdutt9]

Hi @Pramod07777 . This is how you need to load your image file for classification task:

Make sure to have the following imports:

import cv2
import numpy as np
import pickle
import matplotlib.pyplot as plt
from matplotlib import style
style.use('ggplot')

[CSALS]

How to convert our image into 2828 image? Or could you tell me how to convert base64 image to 2828 grayscale image?