# print datetime.now() - start_time
from wand.image import Image
from PIL import Image as PI
import sys
import os
from pyocr import pyocr
from pyocr import builders
import io
#TESSERACT_CMD = os.environ["TESSDATA_PREFIX"] + os.sep + 'tesseract.exe' if os.name == 'nt' else 'tesseract'
tool = pyocr.get_available_tools()[0]
print tool
lang = tool.get_available_languages()
print lang
req_image = []
final_text = []
image_pdf = Image(file="test_pf.pdf", resolution=300)
image_jpeg = image_pdf.convert('jpeg')
for img in image_jpeg.sequence:
img_page = Image(image=img)
req_image.append(img_page.make_blob('jpeg'))
for img in req_image:
txt = tool.image_to_string(PI.open(io.BytesIO(img)),
lang=lang,
builder=pyocr.builders.TextBuilder())
final_text.append(txt)
def convert(file_name, target_width=1500):
try:
with Image(filename=file_name) as img:
image_page_num = len(img.sequence)
# PDF里面只有一张图片
if image_page_num == 1:
# 获取最终图片宽高
target_width, target_height = _get_one_info(
target_width, img.width, img.height)
# 缩放，文档上说比resize速度快
img.sample(target_width, target_height)
# 如果最终高度大于百度最大高度，则crop
if target_height > bai_du_ocr_max:
img.crop(0, 0, target_width, bai_du_ocr_max)
# img.save(filename='%s.jpg' % (str(int(time.time())) + '_' +
# str(img.width)))
result = img.make_blob('jpg')
# 下面是准备二值化，发现总体速度还不如直接传给百度
# paste_image =
# PImage.open(StringIO.StringIO(img.make_blob('jpg')))
# paste_image = paste_image.convert("L")
# paste_image.show()
# d = StringIO.StringIO()
# paste_image.save(d, 'JPEG')
# result = d.getvalue()
# PDF里面有一张以上图片
else:
# 多张时，获取最终宽高、拼接页数
target_width, target_height, page_num = _get_more_info(
target_width, img.width, img.height, image_page_num)
# 生成粘贴的背景图 (测试多次，发现L比RGB快)
paste_image = PImage.new('L', (target_width, target_height))
# 拼接图片
for i in range(0, page_num):
image = Image(image=img.sequence[i])
# 计算一张图的高度
one_img_height = int(target_height / page_num)
# 缩放
image.sample(target_width, one_img_height)
# 将wand库文件转成PIL库文件
pasted_image = PImage.open(
StringIO.StringIO(image.make_blob('jpg')))
# 将图片粘贴到背景图
paste_image.paste(pasted_image, (0, one_img_height * i))
# 如果最终高度大于百度最大高度，则crop
if target_height > bai_du_ocr_max:
paste_image = paste_image.crop(
(0, 0, target_width, bai_du_ocr_max))
# 从内存中读取文件
d = StringIO.StringIO()
# 这里是JPEG不是JPG
paste_image.save(d, 'JPEG')
result = d.getvalue()
# paste_image.save('%s.jpg' % (str(int(time.time())) + '_' +
# str(img.width)))
# 测试的时候可以打开
# paste_image.show()
except Exception as e:
print(e)
result = False
return result