- android - 多次调用 OnPrimaryClipChangedListener
- android - 无法更新 RecyclerView 中的 TextView 字段
- android.database.CursorIndexOutOfBoundsException : Index 0 requested, 光标大小为 0
- android - 使用 AppCompat 时,我们是否需要明确指定其 UI 组件(Spinner、EditText)颜色
我目前正在使用 OpenCV 和 PyTesseract 从指定的 ROI 中读取图像。这是我的经历:
import pytesseract
import urllib
import math
import cv2
import numpy as np
from unidecode import unidecode
from PIL import Image
def process_image(path=None):
if path != None:
original_image = cv2.imread(path)
original_height, original_width = original_image.shape[:2]
image = cv2.resize(original_image, (640, int(math.floor(original_height*640/original_width))))
cv2.imwrite('./uploads/resized_image.jpg', image)
height, width = image.shape[:2]
else:
return "Terjadi kesalahan, harap hubungi administrator."
print(height)
print(width)
coord = [
[height - 84, 34, height, 624] #Barcode
# [378, 415, 364, 583], #Tanggal Lahir
# [605, 656, 32, 992]
]
result = None
print ("Recognizing...")
for x in coord:
roi = image[x[0]:x[1],x[2]:x[3]]
print(x[0])
print(x[1])
print(x[2])
print(x[3])
gray = cv2.cvtColor(roi,cv2.COLOR_RGB2GRAY)
ret2,th2 = cv2.threshold(gray,128,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
dst = cv2.fastNlMeansDenoising(th2,10,10,7)
cv2.imwrite('./uploads/tmp.jpg',dst)
cao = Image.open('./uploads/tmp.jpg')
rec_string = pytesseract.image_to_string(cao,lang='deu')
if result != None:
result += "\n" + rec_string
else:
result = rec_string
print ("the result is {}".format(result))
return result
在这里你可以看到,它获取了一张图片,将其调整到一定大小,并将图片写入一个名为 resized_image.jpg 的新图片中。然后,我试图从基于高度的坐标创建 ROI。查看坐标数组,您可以看到我正在尝试通过获取从高度 - 84 到高度的坐标以及从 34 到 624 的宽度来获取底部组件。
结果很好,如果值正确,在我打印出“正在识别...”文本之后。是的,但是图像不会被处理,并且弹出这个错误:
File ./uploads/24-07-2018/aenkjtWIBYuTZsaU.jpg telah diupload
903
640
Recognizing...
819
34
903
624
OpenCV(3.4.1) Error: Assertion failed (!_src.empty()) in fastNlMeansDenoising, file /opt/conda/conda-bld/opencv-suite_1527005194613/work/modules/photo/src/denoising.cpp, line 119
[2018-07-24 13:51:29,900] ERROR in app: Exception on /api/upload [POST]
Traceback (most recent call last):
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 2292, in wsgi_app
response = self.full_dispatch_request()
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 1815, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 1718, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/_compat.py", line 35, in reraise
raise value
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 1813, in full_dispatch_request
rv = self.dispatch_request()
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 1799, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File "/home/dennydap/Projects/flask-ocr/server.py", line 55, in upload_file
rec_string = process_image(path=path)
File "/home/dennydap/Projects/flask-ocr/pre_img.py", line 39, in process_image
dst = cv2.fastNlMeansDenoising(th2,10,10,7)
cv2.error: OpenCV(3.4.1) /opt/conda/conda-bld/opencv-suite_1527005194613/work/modules/photo/src/denoising.cpp:119: error: (-215) !_src.empty() in function fastNlMeansDenoising
OpenCV(3.4.1) /opt/conda/conda-bld/opencv-suite_1527005194613/work/modules/photo/src/denoising.cpp:119: error: (-215) !_src.empty() in function fastNlMeansDenoising
127.0.0.1 - - [24/Jul/2018 13:51:29] "POST /api/upload HTTP/1.1" 500 -
Error on request:
Traceback (most recent call last):
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/werkzeug/serving.py", line 270, in run_wsgi
execute(self.server.app)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/werkzeug/serving.py", line 258, in execute
application_iter = app(environ, start_response)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 2309, in __call__
return self.wsgi_app(environ, start_response)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 2295, in wsgi_app
response = self.handle_exception(e)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 1748, in handle_exception
return self.finalize_request(handler(e), from_error_handler=True)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 1831, in finalize_request
response = self.make_response(rv)
File "/home/dennydap/anaconda3/lib/python3.6/site-packages/flask/app.py", line 1957, in make_response
'The view function did not return a valid response. The'
TypeError: The view function did not return a valid response. The function either returned None or ended without a return statement.
如果我使用确切的数字,而不是使用高度 - 84,则不会显示错误。我做错了什么?
最佳答案
事实证明,定义 ROI 是错误的。我以为是 roi = image[y1:x1, y2:x2] 但快速搜索后是 roi = image[y1:y2, x1:x2]。应该去 sleep 了。
关于Python cv2.error : OpenCV(3. 4.1) 在函数 fastNlMeansDenoising 中使用数组内的计算值时出现错误 : (-215) ! _src.empty(),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/51492385/
我正在尝试通过 opencv fastNlMeansDenoising() 函数去除噪声。但是我的输出图像与原始噪声图像相同。 输入图片: 代码: #include #include #inclu
根据this documentation of opencv,this link和this link: C++: void fastNlMeansDenoising(InputArray src, O
我目前正在使用 OpenCV 和 PyTesseract 从指定的 ROI 中读取图像。这是我的经历: import pytesseract import urllib import math imp
我是一名优秀的程序员,十分优秀!