TesseractAgent.detect() infers any sequence of digit as float

[kforcodeai]

Describe the bug When the blow code converts tesseract output to dataframe, The pandas.dataframe.infer_objects method is called which infers any sequence of digits (zip code, ssn numbers, loan id, etc) as float datatype.

https://github.com/Layout-Parser/layout-parser/blob/29fb2fbd95937c473bafbbb6edf492754bd55ee7/src/layoutparser/ocr/tesseract_agent.py#L92

_data = pytesseract.image_to_data(img_content, lang=self.lang, **self.configs)
res["data"] = pd.read_csv(
    io.StringIO(_data), quoting=csv.QUOTE_NONE, encoding="utf-8", sep="\t"
)

To Reproduce Steps to reproduce the behavior:

1. take any image which has just sequence of digits and run TesseractAgent.detect() function refer the attached screenshot

Environment This bug is platform-independent tried on both Windows and Linux

Screenshots Code Image Cannot attach the full image, because of security reasons

on another image when gather_data function is called it returns an error too

Traceback

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_37746/999922218.py in <module>
----> 1 ocr_agent.gather_data(res, agg_level=TesseractFeatureType.LINE)

~/.virtualenvs/appdev/lib/python3.8/site-packages/layoutparser/ocr/tesseract_agent.py in gather_data(response, agg_level)
    140         res = response["data"]
    141         df = (
--> 142             res[~res.text.isna()]
    143             .groupby(agg_level.group_levels)
    144             .apply(

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/groupby/groupby.py in apply(self, func, *args, **kwargs)
   1270         with option_context("mode.chained_assignment", None):
   1271             try:
-> 1272                 result = self._python_apply_general(f, self._selected_obj)
   1273             except TypeError:
   1274                 # gh-20949

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/groupby/groupby.py in _python_apply_general(self, f, data)
   1304             data after applying f
   1305         """
-> 1306         keys, values, mutated = self.grouper.apply(f, data, self.axis)
   1307 
   1308         return self._wrap_applied_output(

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/groupby/ops.py in apply(self, f, data, axis)
    781             try:
    782                 sdata = splitter.sorted_data
--> 783                 result_values, mutated = splitter.fast_apply(f, sdata, group_keys)
    784 
    785             except IndexError:

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/groupby/ops.py in fast_apply(self, f, sdata, names)
   1326         # must return keys::list, values::list, mutated::bool
   1327         starts, ends = lib.generate_slices(self.slabels, self.ngroups)
-> 1328         return libreduction.apply_frame_axis0(sdata, f, names, starts, ends)
   1329 
   1330     def _chop(self, sdata: DataFrame, slice_obj: slice) -> DataFrame:

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/_libs/reduction.pyx in pandas._libs.reduction.apply_frame_axis0()

~/.virtualenvs/appdev/lib/python3.8/site-packages/layoutparser/ocr/tesseract_agent.py in <lambda>(gp)
    150                         gp["height"].max(),
    151                         gp["conf"].mean(),
--> 152                         gp["text"].str.cat(sep=" "),
    153                     ]
    154                 )

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/generic.py in __getattr__(self, name)
   5485         ):
   5486             return self[name]
-> 5487         return object.__getattribute__(self, name)
   5488 
   5489     def __setattr__(self, name: str, value) -> None:

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/accessor.py in __get__(self, obj, cls)
    179             # we're accessing the attribute of the class, i.e., Dataset.geo
    180             return self._accessor
--> 181         accessor_obj = self._accessor(obj)
    182         # Replace the property with the accessor object. Inspired by:
    183         # https://www.pydanny.com/cached-property.html

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/strings/accessor.py in __init__(self, data)
    166         from pandas.core.arrays.string_ import StringDtype
    167 
--> 168         self._inferred_dtype = self._validate(data)
    169         self._is_categorical = is_categorical_dtype(data.dtype)
    170         self._is_string = isinstance(data.dtype, StringDtype)

~/.virtualenvs/appdev/lib/python3.8/site-packages/pandas/core/strings/accessor.py in _validate(data)
    223 
    224         if inferred_dtype not in allowed_types:
--> 225             raise AttributeError("Can only use .str accessor with string values!")
    226         return inferred_dtype
    227 

AttributeError: Can only use .str accessor with string values!

[lolipopshock]

Thank you very much for spotting the bug! Let me check the PR later!