pradana.aumars/videocr
1
0
Fork 1
Code Issues Pull Requests Projects Releases Wiki Activity

update README

Browse Source
This commit is contained in:
Yi Ge 2019-05-17 17:46:43 +02:00
parent da8cd05f08
commit 6025e09a87
1 changed files with 14 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

27
README.md
View File

@ -15,7 +15,8 @@ Input a video with hardcoded subtitles:
import videocr
if __name__ == '__main__':
print(videocr.get_subtitles('video.avi', lang='chi_sim+eng', sim_threshold=70))
print(videocr.get_subtitles('video.mp4', lang='chi_sim+eng',
sim_threshold=70, conf_threshold=65))
```
`$ python3 print_sub.py`
@ -56,7 +57,7 @@ Laughs Thanks.
## Performance
The OCR process runs in parallel and is CPU intensive. It takes 3 minutes on my dual-core laptop to extract a 20 seconds video. You may want more cores for longer videos.
The OCR process is CPU intensive. It takes 3 minutes on my dual-core laptop to extract a 20 seconds video. More CPU cores will make it faster.
## Installation
@ -64,7 +65,7 @@ The OCR process runs in parallel and is CPU intensive. It takes 3 minutes on my
2. `$ pip install videocr`
## API
## Functions
```python
get_subtitles(
@ -88,25 +89,25 @@ Write subtitles to `file_path`. If the file does not exist, it will be created a
The language of the subtitles. You can extract subtitles in almost any language. All language codes on [this page](https://github.com/tesseract-ocr/tesseract/wiki/Data-Files#data-files-for-version-400-november-29-2016) (e.g. `'eng'` for English) and all script names in [this repository](https://github.com/tesseract-ocr/tessdata_fast/tree/master/script) (e.g. `'HanS'` for simplified Chinese) are supported.
Note that you can use more than one language. For example, `'hin+eng'` means using Hindi and English together for recognition. More details are available in the [Tesseract documentation](https://github.com/tesseract-ocr/tesseract/wiki/Command-Line-Usage#using-multiple-languages).
Note that you can use more than one language, e.g. `lang='hin+eng'` for Hindi and English together.
Language data files will be automatically downloaded to your `$HOME/tessdata` directory when necessary. You can read more about Tesseract language data files on their [wiki page](https://github.com/tesseract-ocr/tesseract/wiki/Data-Files).
- `time_start` and `time_end`
Extract subtitles from only a part of the video. The subtitle timestamps are still calculated according to the full video length.
Language files will be automatically downloaded to your `~/tessdata`. You can read more about Tesseract language data files on their [wiki page](https://github.com/tesseract-ocr/tesseract/wiki/Data-Files).
- `conf_threshold`
Confidence threshold for word predictions. Words with lower confidence than this threshold are discarded. The default value is fine for most cases.
Confidence threshold for word predictions. Words with lower confidence than this value will be discarded. The default value `65` is fine for most cases.
Make it closer to 0 if you get too few words from the predictions, or make it closer to 100 if you get too many excess words.
Make it closer to 0 if you get too few words in each line, or make it closer to 100 if there are too many excess words in each line.
- `sim_threshold`
Similarity threshold for subtitle lines. Neighbouring subtitles with larger [Levenshtein](https://en.wikipedia.org/wiki/Levenshtein_distance) ratios than this threshold will be merged together. The default value is fine for most cases.
Similarity threshold for subtitle lines. Subtitle lines with larger [Levenshtein](https://en.wikipedia.org/wiki/Levenshtein_distance) ratios than this threshold will be merged together. The default value `90` is fine for most cases.
Make it closer to 0 if you get too many duplicated subtitle lines, or make it closer to 100 if you get too few subtitle lines.
Make it closer to 0 if you get too many duplicated subtitle lines, or make it closer to 100 if you get too few subtitle lines.
- `time_start` and `time_end`
Extract subtitles from only a clip of the video. The subtitle timestamps are still calculated according to the full video length.
- `use_fullframe`