Contoh code sederhana untuk keras-ocr

Download gambar di bawah ini, gunakan untuk diupload di colabs


Buka collabs dan edit code sebagai berikut :

**Isi cell 1 :**

try:
%tensorflow_version 2.x
except Exception:
pass

!pip install keras-ocr

**Isi cell 2:**

!mkdir uploads

**Isi cell 3 :**

from google.colab import files

uploaded = files.upload()
uploaded_files = list(uploaded.keys())
for uploaded_file in uploaded_files:
print(uploaded_file)
!mv \$uploaded_file uploads/\$uploaded_file

**Isi cell 4 :**

uploads_dir = "/content/uploads"
custom_images = []

for filename in os.listdir(uploads_dir):
print(os.path.join(uploads_dir, filename))
custom_images.append(os.path.join(uploads_dir, filename))

images = [ keras_ocr.tools.read(path) for path in custom_images]

**Isi cell 5 :**

import matplotlib.pyplot as plt
import keras_ocr
import os

pipeline = keras_ocr.pipeline.Pipeline()
image = keras_ocr.tools.read('/content/uploads/EUBanana-500x112.jpg')
predictions = pipeline.recognize([image])[0]
fig, ax = plt.subplots()
drawn=keras_ocr.tools.drawAnnotations(image=image, predictions=predictions, ax=ax)
plt.savefig('test.jpg')
print('Predicted:', [text for text, box in predictions])
with open('results.txt', 'w+') as f:
f.write(str([text for text, box in predictions]))

Hasilnya :


https://colab.research.google.com/drive/1oQ5RcmLJkBDNdkXKvmDWcyhYvCgw310n?usp=sharing

**code python lengkapnya :**

import matplotlib.pyplot as plt
import keras_ocr
import os

pipeline = keras_ocr.pipeline.Pipeline()
image = keras_ocr.tools.read('/content/uploads/EUBanana-500x112.jpg')
predictions = pipeline.recognize([image])[0]
fig, ax = plt.subplots()
drawn=keras_ocr.tools.drawAnnotations(image=image, predictions=predictions, ax=ax)
plt.savefig('test.jpg')
print('Predicted:', [text for text, box in predictions])
with open('results.txt', 'w+') as f:
f.write(str([text for text, box in predictions]))