安装PaddleOCR-2.7.0版本-笔记

news2024/12/24 8:09:13

安装PaddleOCR-2.7.0版本-笔记

先安装conda和python版本
本机安装的conda 22.9.0
python2.9.12
paddle2.4.2
paddlepaddle-gpu==2.4.2 cuda10.2
安装完后，测试生成的结果如下所示：
在这里插入图片描述
一、第一步先激活环境
conda activate base

conda activate base

二、第二步安装PaddleOCR-2.7.0版本
当前默认版本是paddleocr-2.7.0.2
pip install paddleocr
或者指定版本
pip install paddleocr==2.7.0

安装最新版本：pip install paddleocr

pip install paddleocr

安装指定版本：pip install paddleocr==2.7.0

pip install paddleocr==2.7.0

当前opencv-python版本为4.5.4.60->其它版本如先切换到：4.5.4.58，然后也可以切换回来60版
重新安装opencv-python版本pip install opencv-python==4.5.4.58
报错信息需要

#运行报错信息
AttributeError: partially initialized module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'

(base) D:\ProgramData\Anaconda3>pip install opencv-python==4.5.4.58
Collecting opencv-python==4.5.4.58
  Downloading opencv_python-4.5.4.58-cp39-cp39-win_amd64.whl (35.1 MB)
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Requirement already satisfied: numpy>=1.19.3 in d:\programdata\anaconda3\lib\site-packages (from opencv-python==4.5.4.58) (1.21.5)
Installing collected packages: opencv-python
  Attempting uninstall: opencv-python
    Found existing installation: opencv-python 4.5.4.60
    Uninstalling opencv-python-4.5.4.60:
      Successfully uninstalled opencv-python-4.5.4.60
Successfully installed opencv-python-4.5.4.58

三、PaddleOCR-2.7.0版本安装详细情况

(base) D:\ProgramData\Anaconda3>pip install paddleocr
Collecting paddleocr
  Downloading paddleocr-2.7.0.2-py3-none-any.whl (466 kB)
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  Preparing metadata (setup.py) ... done
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  Preparing metadata (setup.py) ... done
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Collecting lmdb
  Downloading lmdb-1.4.1-cp39-cp39-win_amd64.whl (105 kB)
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  Downloading cssutils-2.7.1-py3-none-any.whl (399 kB)
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Building wheels for collected packages: fire, python-docx
  Building wheel for fire (setup.py) ... done
  Created wheel for fire: filename=fire-0.5.0-py2.py3-none-any.whl size=116933 sha256=990b480b38515263ad3ecb8ff990b5de7a6878ec67a34c25a531b5352db1c6fa
  Stored in directory: c:\users\hsgpc\appdata\local\pip\cache\wheels\f7\f1\89\b9ea2bf8f80ec027a88fef1d354b3816b4d3d29530988972f6
  Building wheel for python-docx (setup.py) ... done
  Created wheel for python-docx: filename=python_docx-0.8.11-py3-none-any.whl size=184489 sha256=57d436634b7b919e09930062d217efa50452d2fa7814f1eb5988006211bd516f
  Stored in directory: c:\users\hsgpc\appdata\local\pip\cache\wheels\83\8b\7c\09ae60c42c7ba4ed2dddaf2b8b9186cb105255856d6ed3dba5
Successfully built fire python-docx
Installing collected packages: pyclipper, lmdb, termcolor, shapely, rapidfuzz, python-docx, PyMuPDF, opencv-contrib-python, cssutils, cachetools, attrdict, premailer, fire, pdf2docx, imgaug, paddleocr
Successfully installed PyMuPDF-1.20.2 attrdict-2.0.1 cachetools-5.3.1 cssutils-2.7.1 fire-0.5.0 imgaug-0.4.0 lmdb-1.4.1 opencv-contrib-python-4.6.0.66 paddleocr-2.7.0.2 pdf2docx-0.5.6 premailer-3.10.0 pyclipper-1.3.0.post4 python-docx-0.8.11 rapidfuzz-3.2.0 shapely-2.0.1 termcolor-2.3.0

(base) D:\ProgramData\Anaconda3>

四、测试安装是否成功
copy word_1.jpg文件到D:\ProgramData\Anaconda3>下面
然后执行检查命令：paddleocr --image_dir ./word_1.jpg --use_angle_cls true

(base) D:\ProgramData\Anaconda3>paddleocr --image_dir ./word_1.jpg --use_angle_cls true

执行结果如下所示：表示安装成功 OK

(base) D:\ProgramData\Anaconda3>paddleocr --image_dir ./word_1.jpg --use_angle_cls true
[2023/08/12 18:10:25] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=True, use_xpu=False, use_npu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir='./word_1.jpg', page_num=0, det_algorithm='DB', det_model_dir='C:\\Users\\hsgpc/.paddleocr/whl\\det\\ch\\ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='quad', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='C:\\Users\\hsgpc/.paddleocr/whl\\rec\\ch\\ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='D:\\ProgramData\\Anaconda3\\lib\\site-packages\\paddleocr\\ppocr\\utils\\ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=True, cls_model_dir='C:\\Users\\hsgpc/.paddleocr/whl\\cls\\ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, layout_model_dir=None, layout_dict_path=None, layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=False, use_pdf2docx_api=False, lang='ch', det=True, rec=True, type='ocr', ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
[2023/08/12 18:10:31] ppocr INFO: **********./word_1.jpg**********
[2023/08/12 18:10:32] ppocr DEBUG: dt_boxes num : 14, elapse : 0.6729228496551514
[2023/08/12 18:10:32] ppocr DEBUG: cls num  : 14, elapse : 0.19803142547607422
[2023/08/12 18:10:32] ppocr DEBUG: rec_res num  : 14, elapse : 0.1495964527130127
[2023/08/12 18:10:32] ppocr INFO: [[[2230.0, 639.0], [3652.0, 575.0], [3665.0, 843.0], [2243.0, 907.0]], ('任重道远 众志成城', 0.9414699077606201)]
[2023/08/12 18:10:32] ppocr INFO: [[[441.0, 690.0], [1633.0, 663.0], [1640.0, 931.0], [447.0, 958.0]], ('有浩然学无止境', 0.9909616112709045)]
[2023/08/12 18:10:32] ppocr INFO: [[[3915.0, 1028.0], [4223.0, 1017.0], [4225.0, 1079.0], [3917.0, 1091.0]], ('四川省长宁县培风中学', 0.9919702410697937)]
[2023/08/12 18:10:32] ppocr INFO: [[[4147.0, 1094.0], [4325.0, 1094.0], [4325.0, 1147.0], [4147.0, 1147.0]], ('班务栏', 0.9993979334831238)]
[2023/08/12 18:10:32] ppocr INFO: [[[1146.0, 1152.0], [1670.0, 1142.0], [1672.0, 1223.0], [1147.0, 1234.0]], ('育才沃土厚德培风', 0.9650142788887024)]
[2023/08/12 18:10:32] ppocr INFO: [[[3595.0, 1327.0], [3808.0, 1302.0], [3818.0, 1388.0], [3605.0, 1412.0]], ('应到56人', 0.9699130058288574)]
[2023/08/12 18:10:32] ppocr INFO: [[[1536.0, 1406.0], [2329.0, 1395.0], [2332.0, 1600.0], [1539.0, 1612.0]], ('领奖典礼', 0.7956822514533997)]
[2023/08/12 18:10:32] ppocr INFO: [[[3587.0, 1404.0], [3802.0, 1373.0], [3816.0, 1464.0], [3601.0, 1495.0]], ('实到5久', 0.8031215667724609)]
[2023/08/12 18:10:32] ppocr INFO: [[[3511.0, 1458.0], [3820.0, 1458.0], [3820.0, 1558.0], [3511.0, 1558.0]], ('请假人罗芯蕊', 0.8602134585380554)]
[2023/08/12 18:10:32] ppocr INFO: [[[139.0, 1569.0], [407.0, 1557.0], [410.0, 1629.0], [142.0, 1640.0]], ('值日生：牟祖浩南', 0.8638275861740112)]
[2023/08/12 18:10:32] ppocr INFO: [[[140.0, 1639.0], [255.0, 1639.0], [255.0, 1697.0], [140.0, 1697.0]], ('英语', 0.9928290843963623)]
[2023/08/12 18:10:32] ppocr INFO: [[[2277.0, 1707.0], [2580.0, 1696.0], [2583.0, 1782.0], [2280.0, 1793.0]], ('年7月30F', 0.8894579410552979)]
[2023/08/12 18:10:32] ppocr INFO: [[[130.0, 1878.0], [217.0, 1878.0], [217.0, 1936.0], [130.0, 1936.0]], ('地理', 0.9972861409187317)]
[2023/08/12 18:10:32] ppocr INFO: [[[3877.0, 2428.0], [4518.0, 2428.0], [4518.0, 2495.0], [3877.0, 2495.0]], ('2023.07.3015:32', 0.9787216186523438)]

(base) D:\ProgramData\Anaconda3>

五、代码测试安装情况
代码中的图片下载 地址：https://gitee.com/paddlepaddle/PaddleOCR/
https://gitee.com/paddlepaddle/PaddleOCR/tree/release/2.6/doc/imgs
执行结果如下所示：

PS E:\project\python> & D:/ProgramData/Anaconda3/python.exe e:/project/python/OCR/test.py
[2023/08/12 18:33:50] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=True, use_xpu=False, use_npu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir=None, page_num=0, det_algorithm='DB', det_model_dir='C:\\Users\\hsgpc/.paddleocr/whl\\det\\ch\\ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='quad', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='C:\\Users\\hsgpc/.paddleocr/whl\\rec\\ch\\ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='D:\\ProgramData\\Anaconda3\\lib\\site-packages\\paddleocr\\ppocr\\utils\\ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=True, cls_model_dir='C:\\Users\\hsgpc/.paddleocr/whl\\cls\\ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, layout_model_dir=None, layout_dict_path=None, layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=False, use_pdf2docx_api=False, lang='ch', det=True, rec=True, type='ocr', ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
[2023/08/12 18:33:57] ppocr DEBUG: dt_boxes num : 16, elapse : 0.6102132797241211
[2023/08/12 18:33:57] ppocr DEBUG: cls num  : 16, elapse : 0.1960291862487793
[2023/08/12 18:33:57] ppocr DEBUG: rec_res num  : 16, elapse : 0.3260536193847656
[[[[28.0, 37.0], [302.0, 39.0], [302.0, 72.0], [27.0, 70.0]], ('纯臻营养护发素', 0.9978375434875488)], [[[26.0, 83.0], [173.0, 83.0], [173.0, 104.0], [26.0, 104.0]], ('产品信息/参数', 0.9898294806480408)], [[[27.0, 112.0], [331.0, 112.0], [331.0, 135.0], [27.0, 135.0]], ('（45元/每公斤，100公斤起订）', 0.9659178256988525)], [[[25.0, 143.0], [281.0, 143.0], [281.0, 165.0], [25.0, 165.0]], ('每瓶22元，1000瓶起订）', 0.9928629994392395)], [[[26.0, 179.0], [300.0, 179.0], [300.0, 195.0], [26.0, 195.0]], ('【品牌】：代加工方式/OEMODM', 0.9843926429748535)], [[[26.0, 210.0], [234.0, 210.0], [234.0, 227.0], [26.0, 227.0]], ('【品名】：纯臻营养护发素', 0.996315062046051)], [[[25.0, 239.0], [241.0, 239.0], [241.0, 259.0], [25.0, 259.0]], ('【产品编号】：YM-X-3011', 0.9848002791404724)], [[[413.0, 232.0], [430.0, 232.0], [430.0, 306.0], [413.0, 306.0]], ('ODMOEM', 0.9908029437065125)], [[[24.0, 271.0], [180.0, 271.0], [180.0, 290.0], [24.0, 290.0]], ('【净含量】：220ml', 0.9892310500144958)], [[[26.0, 303.0], [251.0, 303.0], [251.0, 319.0], [26.0, 319.0]], ('【适用人群】：适合所有肤质', 0.9909216165542603)], [[[26.0, 335.0], [344.0, 335.0], [344.0, 352.0], [26.0, 352.0]], ('【主要成分】：鲸蜡硬脂醇、燕麦β-葡聚', 0.9828618764877319)], [[[26.0, 364.0], [281.0, 364.0], [281.0, 384.0], [26.0, 384.0]], ('糖、椰油酰胺丙基甜菜碱、泛醌', 0.9505151510238647)], [[[368.0, 368.0], [477.0, 368.0], [477.0, 389.0], [368.0, 389.0]], ('（成品包材）', 0.992070734500885)], [[[26.0, 397.0], [360.0, 397.0], [360.0, 414.0], [26.0, 414.0]], ('【主要功能】：可紧致头发磷层，从而达到', 0.9904309511184692)], [[[28.0, 429.0], [370.0, 429.0], [370.0, 445.0], [28.0, 445.0]], ('即时持久改善头发光泽的效果，给干燥的头', 0.9874164462089539)], [[[27.0, 458.0], [137.0, 458.0], [137.0, 479.0], [27.0, 479.0]], ('发足够的滋养', 0.9987378716468811)]]
PS E:\project\python>

测试代码test.py内容如下所示：

import os
#os.environ['KMP_DUPLICATE_LIB_OK']='True'   
#如果报错就打开上一行代码，
#报错信息：OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
#表示libiomp5md.dll文件有多个文件在安装目录下D:\ProgramData\Anaconda3
#另一种解办法：搜索libiomp5md.dll多个文件，删除其中一个，这里删除的是\lib\site-packages\paddle\libs\libiomp5md.dll
#注意：删除文件前需要先备份哦

from paddleocr import PaddleOCR, draw_ocr
 
#终端需要转到程序所在目录,目录位置要正确，不然找不图片
#如PS E:\project\python>
#图片位置于E:\project\python\OCR\data\11.jpg
# Paddleocr目前支持中英文、英文、法语、德语、韩语、日语，可以通过修改lang参数进行切换
# 参数依次为`ch`, `en`, `french`, `german`, `korean`, `japan`。
ocr = PaddleOCR(use_angle_cls=True, lang="ch")  # need to run only once to download and load model into memory
img_path = './OCR/data/11.jpg'
result = ocr.ocr(img_path, cls=True)
for line in result:
    print(line)
 
# 显示结果
from PIL import Image
#PaddleOCR示例代码需要修改成如下代码才能运行OK 
image = Image.open(img_path).convert('RGB')
boxes = [detection[0] for line in result for detection in line]
txts = [detection[1][0] for line in result for detection in line]
scores = [detection[1][1] for line in result for detection in line]
im_show = draw_ocr(image, boxes, txts, scores)
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')

—the—end—

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