From 737c3809bab249a871297edce641eeb8de86f05b Mon Sep 17 00:00:00 2001 From: SWHL Date: Mon, 13 Sep 2021 17:08:22 +0800 Subject: [PATCH] Almost complete --- .gitignore | 3 + assets/1.jpg | Bin 0 -> 61884 bytes assets/1.mp4 | Bin 0 -> 1737098 bytes demo_rapidocr.py | 27 + example.py | 24 + resources/models/placeholder | 0 resources/ppocr_keys_v1.txt | 6623 ++++++++++++++++++++++++++++++++++ tmp.jpg | Bin 0 -> 34464 bytes videocr/api.py | 34 +- videocr/models.py | 52 +- videocr/utils.py | 25 +- videocr/video.py | 39 +- 12 files changed, 6740 insertions(+), 87 deletions(-) create mode 100644 assets/1.jpg create mode 100644 assets/1.mp4 create mode 100644 demo_rapidocr.py create mode 100644 example.py create mode 100644 resources/models/placeholder create mode 100644 resources/ppocr_keys_v1.txt create mode 100644 tmp.jpg diff --git a/.gitignore b/.gitignore index 417284b..6b0bff3 100644 --- a/.gitignore +++ b/.gitignore @@ -125,3 +125,6 @@ dmypy.json # Pyre type checker .pyre/ + +.vscode 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zbwr=)A@59Q&Hpz|g-a$cbRTcuy0Pca)5JE>h{vouEo8p03ub031@z_X%_@+H~yHaoMU8+n19x;@DR%>IxNl#_*uwNcmCTPmO)Yy0q0d za2@_$ebQ2G;=UMxszz5)2g#(}-9p9pCKNe*UDS2*4bzHKdFP8~38YVc?J9C0z~Bb^ z$3L1O6ByW=EEjcUhcU6Tw(m}w)$;CG)rX8lE4MMvNHT7|&}G=bVe97q9C&ojg6GXQ XgwJmk35?W@5WEO9pO_Ks`u{fpjcO?# literal 0 HcmV?d00001 diff --git a/videocr/api.py b/videocr/api.py index d7dc4a0..8a12672 100644 --- a/videocr/api.py +++ b/videocr/api.py @@ -1,22 +1,32 @@ -from . import utils +# !/usr/bin/env python +# -*- encoding: utf-8 -*- +# @Author: SWHL +# @Contact: liekkaskono@163.com from .video import Video -def get_subtitles( - video_path: str, lang='eng', time_start='0:00', time_end='', - conf_threshold=65, sim_threshold=90, use_fullframe=False) -> str: - utils.download_lang_data(lang) +def get_subtitles(video_path: str, + ocr_system, + time_start='0:00', + time_end='', + conf_threshold=65, + sim_threshold=90, + use_fullframe=False) -> str: - v = Video(video_path) - v.run_ocr(lang, time_start, time_end, conf_threshold, use_fullframe) + v = Video(video_path, ocr_system) + v.run_ocr(time_start, time_end, + conf_threshold, use_fullframe) return v.get_subtitles(sim_threshold) -def save_subtitles_to_file( - video_path: str, file_path='subtitle.srt', lang='eng', - time_start='0:00', time_end='', conf_threshold=65, sim_threshold=90, - use_fullframe=False) -> None: +def save_subtitles_to_file(video_path: str, + file_path='subtitle.srt', + time_start='0:00', + time_end='', + conf_threshold=65, + sim_threshold=90, + use_fullframe=False) -> None: with open(file_path, 'w+', encoding='utf-8') as f: f.write(get_subtitles( - video_path, lang, time_start, time_end, conf_threshold, + video_path, time_start, time_end, conf_threshold, sim_threshold, use_fullframe)) diff --git a/videocr/models.py b/videocr/models.py index 121cb0f..4d6603f 100644 --- a/videocr/models.py +++ b/videocr/models.py @@ -1,54 +1,30 @@ -from __future__ import annotations -from typing import List -from dataclasses import dataclass -from fuzzywuzzy import fuzz +from typing import List -@dataclass -class PredictedWord: - __slots__ = 'confidence', 'text' - confidence: int - text: str +from fuzzywuzzy import fuzz class PredictedFrame: index: int # 0-based index of the frame - words: List[PredictedWord] confidence: int # total confidence of all words text: str - def __init__(self, index: int, pred_data: str, conf_threshold: int): + def __init__(self, index: int, pred_data: str, + conf_threshold: int): self.index = index self.words = [] + self.confidence = [] - block = 0 # keep track of line breaks - - for l in pred_data.splitlines()[1:]: - word_data = l.split() - if len(word_data) < 12: - # no word is predicted - continue - _, _, block_num, *_, conf, text = word_data - block_num, conf = int(block_num), int(conf) - - # handle line breaks - if block < block_num: - block = block_num - if self.words and self.words[-1].text != '\n': - self.words.append(PredictedWord(0, '\n')) - - # word predictions with low confidence will be filtered out - if conf >= conf_threshold: - self.words.append(PredictedWord(conf, text)) - - self.confidence = sum(word.confidence for word in self.words) + for info in pred_data: + text, score = info + if score >= conf_threshold: + self.words.append(text) + self.confidence.append(score) - self.text = ' '.join(word.text for word in self.words) - # remove chars that are obviously ocr errors - table = str.maketrans('|', 'I', '<>{}[];`@#$%^*_=~\\') - self.text = self.text.translate(table).replace(' \n ', '\n').strip() + self.confidence = sum(self.confidence) + self.text = ' '.join(self.words) - def is_similar_to(self, other: PredictedFrame, threshold=70) -> bool: + def is_similar_to(self, other, threshold=70) -> bool: return fuzz.ratio(self.text, other.text) >= threshold @@ -78,7 +54,7 @@ def index_end(self) -> int: return self.frames[-1].index return 0 - def is_similar_to(self, other: PredictedSubtitle) -> bool: + def is_similar_to(self, other) -> bool: return fuzz.partial_ratio(self.text, other.text) >= self.sim_threshold def __repr__(self): diff --git a/videocr/utils.py b/videocr/utils.py index 13e955f..17611a4 100644 --- a/videocr/utils.py +++ b/videocr/utils.py @@ -1,26 +1,9 @@ -from urllib.request import urlopen -import shutil +# !/usr/bin/env python +# -*- encoding: utf-8 -*- +# @Author: SWHL +# @Contact: liekkaskono@163.com import datetime -from . import constants - - -# download language data files to ~/tessdata if necessary -def download_lang_data(lang: str): - constants.TESSDATA_DIR.mkdir(parents=True, exist_ok=True) - - for lang_name in lang.split('+'): - filepath = constants.TESSDATA_DIR / '{}.traineddata'.format(lang_name) - if not filepath.is_file(): - # download needed file - if lang_name[0].isupper(): - url = constants.TESSDATA_SCRIPT_URL.format(lang_name) - else: - url = constants.TESSDATA_URL.format(lang_name) - - with urlopen(url) as res, open(filepath, 'w+b') as f: - shutil.copyfileobj(res, f) - # convert time string to frame index def get_frame_index(time_str: str, fps: float): diff --git a/videocr/video.py b/videocr/video.py index 27ebdc3..9667367 100644 --- a/videocr/video.py +++ b/videocr/video.py @@ -1,17 +1,20 @@ -from __future__ import annotations -from typing import List + +# !/usr/bin/env python +# -*- encoding: utf-8 -*- +# @Author: SWHL +# @Contact: liekkaskono@163.com import sys -import multiprocessing -import pytesseract +from typing import List + import cv2 +from tqdm import tqdm -from . import constants from . import utils from .models import PredictedFrame, PredictedSubtitle from .opencv_adapter import Capture -class Video: +class Video(object): path: str lang: str use_fullframe: bool @@ -21,16 +24,16 @@ class Video: pred_frames: List[PredictedFrame] pred_subs: List[PredictedSubtitle] - def __init__(self, path: str): + def __init__(self, path: str, ocr_system): self.path = path + self.ocr_system = ocr_system with Capture(path) as v: self.num_frames = int(v.get(cv2.CAP_PROP_FRAME_COUNT)) self.fps = v.get(cv2.CAP_PROP_FPS) self.height = int(v.get(cv2.CAP_PROP_FRAME_HEIGHT)) - def run_ocr(self, lang: str, time_start: str, time_end: str, + def run_ocr(self, time_start: str, time_end: str, conf_threshold: int, use_fullframe: bool) -> None: - self.lang = lang self.use_fullframe = use_fullframe ocr_start = utils.get_frame_index(time_start, self.fps) if time_start else 0 @@ -41,24 +44,28 @@ def run_ocr(self, lang: str, time_start: str, time_end: str, num_ocr_frames = ocr_end - ocr_start # get frames from ocr_start to ocr_end - with Capture(self.path) as v, multiprocessing.Pool() as pool: + # with Capture(self.path) as v, multiprocessing.Pool() as pool: + with Capture(self.path) as v: v.set(cv2.CAP_PROP_POS_FRAMES, ocr_start) - frames = (v.read()[1] for _ in range(num_ocr_frames)) + frames = [v.read()[1] for _ in range(num_ocr_frames)] # perform ocr to frames in parallel - it_ocr = pool.imap(self._image_to_data, frames, chunksize=10) + it_ocr = [] + for frame in tqdm(frames[:20], desc='ocr...'): + it_ocr.append(self._image_to_data(frame)) + # it_ocr = pool.imap(self._image_to_data, frames, chunksize=10) self.pred_frames = [ PredictedFrame(i + ocr_start, data, conf_threshold) - for i, data in enumerate(it_ocr) + for i, data in enumerate(it_ocr) if data is not None ] def _image_to_data(self, img) -> str: if not self.use_fullframe: - # only use bottom half of the frame by default img = img[self.height // 2:, :] - config = '--tessdata-dir "{}"'.format(constants.TESSDATA_DIR) + try: - return pytesseract.image_to_data(img, lang=self.lang, config=config) + dt_boxes, rec_res = self.ocr_system(img) + return rec_res except Exception as e: sys.exit('{}: {}'.format(e.__class__.__name__, e))

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