我已经获得了以下用于将pdf文件上传到google docs的实现(取自gdata API示例):
def UploadResourceSample():
"""Upload a document, and convert to Google Docs."""
client = CreateClient()
doc = gdata.docs.data.Resource(type='document', title='My Sample Doc')
# This is a convenient MS
code:AuthFailure.SignatureFailure message:The provided credentials could not be validated because of exceeding request size limit, please use new signature method `TC3-HMAC-SHA256`.
.NET OCR高精度识别,建议使用鉴权3.0什么意思啊?
我正在尝试使用android ML Kit文本识别库进行文本识别,但在运行时遇到错误,没有返回任何文本。错误: W/TextNativeHandle: Native handle not yet available. Reverting to no-op handle.
W/DynamiteModule: Local module descriptor class for com.google.android.gms.vision.dynamite.ocr not found.
I/DynamiteModule: Considering local module com.google.and
我想从可能存在OCR错误的扫描文档中识别关键字。基于扫描文档的每个字符及其备选字符的关键字和置信度值的列表,我如何开发一种算法来可靠地识别关键字?
对于OCR,我使用的是Tesseract,它为每个字符及其最佳备选字符提供置信度。因此,对于每个单词,我都有一个这样的列表:
Word=order
[0] o (93%) [alts: 0 (90%), c (83%), e (82%)]
[1] r (96%)
[2] d (96%)
[3] e (90%) [alts: a (75%)]
[4] r (95%)
另一个包含OCR错误的示例:
Word=PaYmeHI (Payme