撸了两个 wrapper，一个 cwebp 的，一个 tesseract-ocr 的，都是包在二进制可执行文件上而非二进制库上，都支持从管道输入输出数据

主要是自用

https://github.com/mo-han/mo-han-toolbox/tree/master/mylib/wrapper

下面摘自 readme

cwebp

• use cwebp in PATH
• support feeding image file data via stdin pipe
• return dict including metadata
• set options via kwargs
• resize with float scale (keep aspect)

Example:

from mylib.wrapper import cwebp cwebp.image_to_bytes cwebp.image_from_bytes src = 'src/image/filepath' or b'image file bytes' dst = '-' or 'dst/image/filepath' # '-' get cwebp output image bytes from stdout and put it into dict cwebp.cwebp(src, q=50, resize=0.5, print_ssim=True) 

output something like this:

{'kwargs': {'q': 50, 'print_ssim': True, 'resize': (334, 482)}, 'out': b'A LONG BYTES OF THE OUTPUT IMAGE FILE', 'msg': ["Saving file '-'", 'File: -', 'Dimension: 334 x 482', 'Output: 8352 bytes Y-U-V-All-PSNR 39.53 99.00 99.00 41.29 dB', ' (0.42 bpp)', 'block count: intra4: 256 (39.32%)', ' intra16: 395 (60.68%)', ' skipped: 388 (59.60%)', 'bytes used: header: 121 (1.4%)', ' mode-partition: 1174 (14.1%)', ' Residuals bytes |segment 1|segment 2|segment 3|segment 4| total', ' macroblocks: | 1%| 10%| 27%| 62%| 651', ' quantizer: | 52 | 49 | 42 | 34 |', ' filter level: | 16 | 10 | 7 | 5 |', 'SSIM: B:19.07 G:19.07 R:19.07 A:99.00 Total:20.32'], 'cmd': ['cwebp', '-q', '50', '-print_ssim', '-resize', '334', '482', '-o', '-', '--', '-'], 'code': 0, 'ok': True, 'src': {'path': '-', 'size': 30230, 'width': 667, 'height': 964}, 'dst': {'q': 50.0, 'scale': 0.5, 'path': '-', 'width': 334, 'height': 482, 'size': 8352, 'psnr': {'y': 39.53, 'u': 99.0, 'v': 99.0, 'all': 41.29}, 'ssim': {'b': 19.07, 'g': 19.07, 'r': 19.07, 'a': 99.0, 'total': 20.32}, 'compress': 0.276}} 

tesseract_ocr

• support feeding image via stdin pipe
• get output data via stdout pipe
• so no temp file created
• set input image with filepath or file bytes or PIL Image object or nd-array
• set options via kwargs
• output data as dict in proper structure
• fluent interface/api

Example:

from mylib.wrapper import tesseract_ocr t = tesseract_ocr.TesseractOCRCLIWrapper('path/of/tesseract/executable') # input image could be set via different methods for different data type t.set_image_array t.set_image_bytes t.set_image_object t.set_image_file t.set_language('chi_sim', 'eng').set_image_bytes(b'IMAGE FILE BYTES').get_ocr_tsv_to_dict_list() 

output something like this:

[{'text': '名', 'confidence': 0.91, 'box': ((320, 10), (333, 10), (333, 23), (320, 23)), 'page_block_paragraph_line_word_level': (1, 1, 1, 1, 1, 5)}, {'text': '称', 'confidence': 0.87, 'box': ((320, 28), (333, 28), (333, 40), (320, 40)), 'page_block_paragraph_line_word_level': (1, 1, 1, 1, 2, 5)}, {'text': '修改', 'confidence': 0.9, 'box': ((320, 336), (333, 336), (333, 366), (320, 366)), 'page_block_paragraph_line_word_level': (1, 1, 1, 1, 3, 5)}, {'text': '日', 'confidence': 0.96, 'box': ((320, 372), (333, 372), (333, 379), (320, 379)), 'page_block_paragraph_line_word_level': (1, 1, 1, 1, 4, 5)}, {'text': '期', 'confidence': 0.96, 'box': ((320, 387), (333, 387), (333, 395), (320, 395)), 'page_block_paragraph_line_word_level': (1, 1, 1, 1, 5, 5)}, {'text': ' ', 'confidence': 0.95, 'box': ((0, 195), (0, 195), (0, 224), (0, 224)), 'page_block_paragraph_line_word_level': (1, 2, 1, 1, 1, 5)}, {'text': 'label_cn.txt', 'confidence': 0.8, 'box': ((283, 38), (295, 38), (295, 120), (283, 120)), 'page_block_paragraph_line_word_level': (1, 3, 1, 1, 1, 5)}, {'text': '2019/8/5', 'confidence': 0.87, 'box': ((281, 337), (294, 337), (294, 401), (281, 401)), 'page_block_paragraph_line_word_level': (1, 3, 1, 1, 2, 5)}, {'text': '15:24', 'confidence': 0.95, 'box': ((283, 408), (294, 408), (294, 446), (283, 446)), 'page_block_paragraph_line_word_level': (1, 3, 1, 1, 3, 5)}, {'text': '2019/8/5', 'confidence': 0.91, 'box': ((254, 337), (267, 337), (267, 401), (254, 401)), 'page_block_paragraph_line_word_level': (1, 3, 1, 2, 3, 5)}, {'text': '15:24', 'confidence': 0.96, 'box': ((256, 408), (267, 408), (267, 446), (256, 446)), 'page_block_paragraph_line_word_level': (1, 3, 1, 2, 4, 5)}, {'text': '2019/8/5', 'confidence': 0.89, 'box': ((227, 337), (240, 337), (240, 401), (227, 401)), 'page_block_paragraph_line_word_level': (1, 3, 1, 3, 3, 5)}, {'text': '15:24', 'confidence': 0.96, 'box': ((229, 408), (240, 408), (240, 446), (229, 446)), 'page_block_paragraph_line_word_level': (1, 3, 1, 3, 4, 5)}]