数字認識プログラムを作りましたが、精度が無茶苦茶低いです。

python
1import numpy as np
2from PIL import Image
3
4from google.colab import drive
5drive.mount('/content/drive')
6
7img = [np.array(Image.open('drive/My Drive/〇.png'))]
8
9for i in range(1):
10       img[i] = 255 - img[i]
11       img[i] = (img[i] > 128) * 255
12       img[i].resize((144 , 132))
13
14np.set_printoptions(threshold=19000)
15
16# 取得したインデックスをa[]配列に順に入力していく。
17a = [ np.nonzero(img)[2][i] for i in range(len(np.nonzero(img)[2])) if i == 0 or np.nonzero(img)[2][i] < np.nonzero(img)[2][i-1]]
18
19# 計算処理（縦方向51pxであると仮定）
20print((a[9]-a[1])/2)
21print((a[35]-a[27])/2)
22
23print(a[9])
24print(a[27])
25
26if -2 <= (a[9] - a[1])/2 <= 2 and 2 <= (a[35] - a[27])/2 <= 6 and -2 <= a[9] <= 2 and -2 <= a[27] <= 2:
27    answer = "0"
28elif 8 <= (a[9] - a[1])/2 <= 12 and 14 <= (a[35] - a[27])/2 <= 18 and 18 <= a[9] <= 22 and 14 <= a[27] <= 18:
29    answer = "1"
30elif -2 <= (a[9] - a[1])/2 <= 2 and 2.5 <= (a[35] - a[27])/2 <= 6.5 and -2 <= a[9] <= 2 and 10 <= a[27] <= 14:
31    answer = "2"
32elif -2 <= (a[9] - a[1])/2 <= 2 and 38.5 <= (a[35] - a[27])/2 <= 42.5 and -2 <= a[9] <= 2 and -2 <= a[27] <= 2:
33    answer = "3"
34elif 14 <= (a[9] - a[1])/2 <= 18 and 32 <= (a[35] - a[27])/2 <= 36 and 30 <= a[9] <= 34 and -2 <= a[27] <= 2:
35    answer = "4"
36elif -2 <= (a[9] - a[1])/2 <= 2 and 2 <= (a[35] - a[27])/2 <= 6 and -2 <= a[9] <= 2 and -2 <= a[27] <= 2:
37    answer = "5"
38elif -2 <= (a[9] - a[1])/2 <= 2 and 1 <= (a[35] - a[27])/2 <= 5 and -2 <= a[9] <= 2 and -2 <= a[27] <= 2:
39    answer = "6"
40elif -2 <= (a[9] - a[1])/2 <= 2 and 6 <= (a[35] - a[27])/2 <= 10 and -2 <= a[9] <= 2 and 14 <= a[27] <= 18:
41    answer = "7"
42elif -2 <= (a[9] - a[1])/2 <= 2 and 0 <= (a[35] - a[27])/2 <= 4 and -2 <= a[9] <= 2 and -2 <= a[27] <= 2:
43    answer = "8"
44else:
45    answer = "9"
46
47print("番号は " + answer + " です。")