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Dataset.py
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Dataset.py
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from Libraries import *
train_dir = './Dataset/fer-2013/train/'
test_dir = './Dataset/fer-2013/test/'
row, col = 48, 48
classes = 7
def count_exp(path, set_):
dict_ = {}
for expression in os.listdir(path):
dir_ = path + expression
dict_[expression] = len(os.listdir(dir_))
df = pd.DataFrame(dict_, index=[set_])
return df
def print_dataset():
train_count = count_exp(train_dir, 'train')
test_count = count_exp(test_dir, 'test')
# print(train_count)
# print(test_count)
# train_count.transpose().plot(kind='bar')
# test_count.transpose().plot(kind='bar')
plt.figure(figsize=(14,22))
i = 1
for expression in os.listdir(train_dir):
img = load_img((train_dir + expression +'/'+ os.listdir(train_dir + expression)[5]))
plt.subplot(1,7,i)
plt.imshow(img)
plt.title(expression)
plt.axis('off')
i += 1
plt.show()