File size: 1,585 Bytes
25986db | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | import numpy as np
import pandas as pd
def load_text_numpy(path, delimiter, dtype):
if isinstance(delimiter, (tuple, list)):
for d in delimiter:
try:
ground_truth_rect = np.loadtxt(path, delimiter=d, dtype=dtype)
return ground_truth_rect
except:
pass
raise Exception('Could not read file {}'.format(path))
else:
ground_truth_rect = np.loadtxt(path, delimiter=delimiter, dtype=dtype)
return ground_truth_rect
def load_text_pandas(path, delimiter, dtype):
if isinstance(delimiter, (tuple, list)):
for d in delimiter:
try:
ground_truth_rect = pd.read_csv(path, delimiter=d, header=None, dtype=dtype, na_filter=False,
low_memory=False).values
return ground_truth_rect
except Exception as e:
pass
raise Exception('Could not read file {}'.format(path))
else:
ground_truth_rect = pd.read_csv(path, delimiter=delimiter, header=None, dtype=dtype, na_filter=False,
low_memory=False).values
return ground_truth_rect
def load_text(path, delimiter=' ', dtype=np.float32, backend='numpy'):
if backend == 'numpy':
return load_text_numpy(path, delimiter, dtype)
elif backend == 'pandas':
return load_text_pandas(path, delimiter, dtype)
def load_str(path):
with open(path, "r") as f:
text_str = f.readline().strip().lower()
return text_str
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