Image_preprocessing.py

# coding: utf-8

# In[15]:


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


# In[16]:


path = './dataset/'
path2 = './preprocessed/'


# In[17]:


gestures = os.listdir(path)


# In[18]:


print(gestures)


# In[19]:


for ix in gestures:
    images = os.listdir(path + ix)
    os.mkdir(path2 + ix)
    for cx in images:
        img_path = path + ix +'/' + cx
        img = cv2.imread(img_path)
        grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        thresh = cv2.threshold(grey, 127, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)[1]
        save_img = cv2.resize(thresh, (50,50))
        cv2.imwrite(path2 + ix + '/' + cx, save_img)