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add initial models

pull/1/head
Yi Ge 2 years ago
commit
57d1dc7b9b
  1. 125
      .gitignore
  2. 14
      Pipfile
  3. 121
      Pipfile.lock
  4. 0
      videocr/__init__.py
  5. 47
      videocr/models.py

125
.gitignore

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14
Pipfile

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121
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0
videocr/__init__.py

47
videocr/models.py

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from __future__ import annotations
from typing import List
from dataclasses import dataclass
CONFIDENCE_THRESHOLD = 60
# predictions with lower confidence will be filtered out
@dataclass
class PredictedWord:
__slots__ = 'confidence', 'text'
confidence: int
text: str
class PredictedFrame:
words: List[PredictedWord]
def __init__(self, pred_data: str):
self.words = []
block_current = 1
for line in pred_data.split('\n')[1:]:
tmp = line.split()
if len(tmp) < 12:
# no word is predicted
continue
_, _, block_num, *_, conf, text = tmp
block_num, conf = int(block_num), int(conf)
# handle line breaks
if block_current < block_num:
block_current = block_num
self.words.append(PredictedWord(0, '\n'))
if conf >= CONFIDENCE_THRESHOLD:
self.words.append(PredictedWord(conf, text))
@property
def confidence(self) -> int:
return sum(word.confidence for word in self.words)
@property
def text(self) -> str:
return ''.join(word.text + ' ' for word in self.words)
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