2025数据科学与大数据毕设一套(论文+程序源代码)基于CAN的手写数学表达式识别系统定稿.zip原创优质

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2025-09-05
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2025数据科学与大数据毕设一套(论文+程序源代码)基于CAN的手写数学表达式识别系统定稿.zip

收起资源包目录

基于CAN的手写数学表达式识别系统.docx(1.63 MB)
CAN-main
- .idea
  - .gitignore(50 B)
  - .gitignore~(0 B)
  - .name(22 B)
  - CAN-main.iml(452 B)
  - inspectionProfiles
    - profiles_settings.xml(174 B)
  - misc.xml(394 B)
  - modules.xml(275 B)
  - workspace.xml(1.98 KB)
- app.py(12.29 KB)
- app.py~(12.34 KB)
- assets
  - CAN.png(239.13 KB)
  - MSCM.png(171.84 KB)
- AttDecoder
  - temp
  - temp_output
- AttDecoder_bad_case.json(71.98 KB)
- checkpoints
  - CAN_2025-03-06-11-37_decoder-AttDecoder_WordRate-0.8584_ExpRate-0.4442_152.pth(64.57 MB)
  - CAN_2025-03-06-11-37_decoder-AttDecoder_WordRate-0.8642_ExpRate-0.4493_165.pth(64.57 MB)
  - CAN_2025-03-06-11-37_decoder-AttDecoder_WordRate-0.8715_ExpRate-0.4817_216.pth(64.57 MB)
  - CAN_2025-03-09-16-02_decoder-AttDecoder
- config.yaml(1.32 KB)
- config.yaml~(1.32 KB)
- counting_utils.py(592 B)
- dataset.py(5.38 KB)
- datasets
  - CROHME
    - 14_test_images.pkl(33.69 MB)
    - 14_test_labels.txt(47.76 KB)
    - 16_test_images.pkl(37.19 MB)
    - 16_test_labels.txt(62.4 KB)
    - 19_test_images.pkl(57.46 MB)
    - 19_test_labels.txt(67.49 KB)
    - train_images.pkl(302.55 MB)
    - train_labels.txt(468.44 KB)
    - words_dict.txt(365 B)
  - datasets.md(1 B)
- inference.py(4.22 KB)
- LICENSE(1.04 KB)
- logs
  - CAN_2025-03-09-16-02_decoder-AttDecoder
    - events.out.tfevents.1741507354.DESKTOP-R4NH0PK(2.44 KB)
- models
  - attention.py(1.43 KB)
  - can.py(2.25 KB)
  - counting.py(1.49 KB)
  - decoder.py(7.19 KB)
  - densenet.py(4.13 KB)
  - infer_model.py(7.36 KB)
  - __init__.py(37 B)
  - __pycache__
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    - can.cpython-312.pyc(3.45 KB)
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    - counting.cpython-312.pyc.1869419516368(3.24 KB)
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    - decoder.cpython-312.pyc(9.72 KB)
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    - densenet.cpython-312.pyc(6.75 KB)
    - densenet.cpython-312.pyc.1408350224432(6.73 KB)
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    - densenet.cpython-312.pyc.2046194352176(6.73 KB)
    - densenet.cpython-312.pyc.2084143792272(6.73 KB)
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    - densenet.cpython-312.pyc.2376161788048(6.73 KB)
    - densenet.cpython-312.pyc.2859297472560(6.73 KB)
    - infer_model.cpython-312.pyc(11.19 KB)
    - infer_model.cpython-312.pyc.1408349534480(11.16 KB)
    - infer_model.cpython-312.pyc.1869416986896(11.16 KB)
    - infer_model.cpython-312.pyc.1884185852176(11.16 KB)
    - infer_model.cpython-312.pyc.2046193662224(11.16 KB)
    - infer_model.cpython-312.pyc.2084143134992(11.16 KB)
    - infer_model.cpython-312.pyc.2129908037904(11.16 KB)
    - infer_model.cpython-312.pyc.2376161130768(11.16 KB)
    - infer_model.cpython-312.pyc.2859296782608(11.16 KB)
    - __init__.cpython-312.pyc(190 B)
    - __init__.cpython-312.pyc.1408318936656(179 B)
    - __init__.cpython-312.pyc.1869386472720(179 B)
    - __init__.cpython-312.pyc.1884155663088(179 B)
    - __init__.cpython-312.pyc.2046163261200(179 B)
    - __init__.cpython-312.pyc.2084112567344(179 B)
    - __init__.cpython-312.pyc.2129877392272(179 B)
    - __init__.cpython-312.pyc.2376130564464(179 B)
    - __init__.cpython-312.pyc.2859266136496(179 B)
- README.md(3.23 KB)
- static
  - uploads
    - dataset_18_em_0.png(1.81 KB)
    - dataset_18_em_1.png(599 B)
    - dataset_18_em_10.png(436 B)
    - dataset_18_em_11.png(837 B)
    - dataset_18_em_12.png(1.78 KB)
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    - dataset_18_em_14.png(1.96 KB)
    - dataset_18_em_15.png(1.58 KB)
    - dataset_18_em_16.png(596 B)
    - dataset_18_em_17.png(1.87 KB)
    - dataset_18_em_18.png(1.25 KB)
    - dataset_18_em_19.png(494 B)
    - dataset_18_em_2.png(3.48 KB)
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    - dataset_18_em_22.png(1.83 KB)
    - dataset_18_em_23.png(2.11 KB)
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    - dataset_18_em_3.png(1.41 KB)
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    - dataset_18_em_5.png(1.04 KB)
    - dataset_18_em_6.png(1.28 KB)
    - dataset_18_em_7.png(1.07 KB)
    - dataset_18_em_8.png(1.16 KB)
    - dataset_18_em_9.png(1.25 KB)
    - dataset_20_em_25.png(3.13 KB)
    - dataset_20_em_26.png(1.27 KB)
    - dataset_20_em_27.png(3.03 KB)
    - dataset_20_em_28.png(1.14 KB)
    - dataset_20_em_29.png(833 B)
    - dataset_20_em_30.png(370 B)
    - dataset_20_em_31.png(1.55 KB)
    - dataset_20_em_32.png(704 B)
    - dataset_20_em_33.png(2.65 KB)
    - dataset_20_em_34.png(981 B)
    - dataset_20_em_35.png(813 B)
    - dataset_20_em_36.png(1.16 KB)
    - dataset_20_em_37.png(4.59 KB)
    - dataset_20_em_38.png(575 B)
    - dataset_20_em_39.png(1.26 KB)
    - dataset_20_em_40.png(987 B)
    - dataset_20_em_41.png(511 B)
    - dataset_20_em_42.png(330 B)
    - dataset_20_em_43.png(1.83 KB)
    - dataset_20_em_44.png(683 B)
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    - dataset_20_em_46.png(1.96 KB)
    - dataset_20_em_47.png(697 B)
    - dataset_20_em_48.png(1.6 KB)
    - dataset_20_em_49.png(448 B)
    - dataset_23_em_50.png(715 B)
    - dataset_23_em_51.png(2.3 KB)
    - dataset_23_em_52.png(460 B)
    - dataset_23_em_53.png(1.03 KB)
    - dataset_23_em_54.png(1021 B)
    - dataset_23_em_55.png(580 B)
    - dataset_23_em_56.png(489 B)
    - dataset_23_em_57.png(1.07 KB)
    - dataset_23_em_58.png(711 B)
    - dataset_23_em_59.png(2.53 KB)
    - dataset_23_em_60.png(1.17 KB)
    - dataset_23_em_61.png(924 B)
    - dataset_23_em_62.png(888 B)
    - dataset_23_em_63.png(1.26 KB)
    - dataset_23_em_64.png(888 B)
    - dataset_23_em_65.png(639 B)
    - dataset_23_em_66.png(739 B)
    - dataset_23_em_67.png(1.21 KB)
    - dataset_23_em_68.png(1.29 KB)
    - dataset_23_em_69.png(658 B)
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    - dataset_23_em_72.png(2.1 KB)
    - dataset_23_em_73.png(831 B)
    - dataset_26_em_75.png(2.44 KB)
    - dataset_26_em_76.png(582 B)
- templates
  - browse.html(8.37 KB)
  - browse.html~(8.43 KB)
- train.py(3 KB)
- training.py(4.98 KB)
- utils.py(5.52 KB)
- vis
  - attention_map
    - AttDecoder
      - temp
        word_0.jpg(1.67 KB)
  - counting_map
    - AttDecoder
      - temp
        symbol_!_map.jpg(1.21 KB)
        symbol_'_map.jpg(1.21 KB)
        symbol_(_map.jpg(1.21 KB)
        symbol_)_map.jpg(1.21 KB)
        symbol_+_map.jpg(1.21 KB)
        symbol_,_map.jpg(1.21 KB)
        symbol_-_map.jpg(1.21 KB)
        symbol_._map.jpg(1.21 KB)
        symbol_0_map.jpg(1.21 KB)
        symbol_1_map.jpg(1.21 KB)
        symbol_2_map.jpg(1.21 KB)
        symbol_3_map.jpg(1.21 KB)
        symbol_4_map.jpg(1.21 KB)
        symbol_5_map.jpg(1.21 KB)
        symbol_6_map.jpg(1.21 KB)
        symbol_7_map.jpg(1.21 KB)
        symbol_8_map.jpg(1.21 KB)
        symbol_9_map.jpg(1.21 KB)
        symbol_=_map.jpg(1.21 KB)
        symbol_A_map.jpg(1.21 KB)
        symbol_B_map.jpg(1.21 KB)
        symbol_C_map.jpg(1.21 KB)
        symbol_d_map.jpg(1.21 KB)
        symbol_eos_map.jpg(1.21 KB)
        symbol_E_map.jpg(1.21 KB)
        symbol_F_map.jpg(1.21 KB)
        symbol_G_map.jpg(1.21 KB)
        symbol_H_map.jpg(1.21 KB)
        symbol_I_map.jpg(1.22 KB)
        symbol_j_map.jpg(1.21 KB)
        symbol_k_map.jpg(1.21 KB)
        symbol_L_map.jpg(1.21 KB)
        symbol_M_map.jpg(1.21 KB)
        symbol_N_map.jpg(1.21 KB)
        symbol_o_map.jpg(1.21 KB)
        symbol_P_map.jpg(1.21 KB)
        symbol_q_map.jpg(1.21 KB)
        symbol_R_map.jpg(1.21 KB)
        symbol_sos_map.jpg(1.21 KB)
        symbol_S_map.jpg(1.21 KB)
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        symbol_u_map.jpg(1.21 KB)
        symbol_V_map.jpg(1.21 KB)
        symbol_w_map.jpg(1.21 KB)
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        symbol_^_map.jpg(1.21 KB)
        symbol___map.jpg(1.21 KB)
        symbol_{_map.jpg(1.21 KB)
        symbol_}_map.jpg(1.21 KB)
- visualization_output
  - 18_em_0_result.png(24.38 KB)
  - 18_em_10_result.png(11.66 KB)
  - 18_em_11_result.png(23.06 KB)
  - 18_em_12_result.png(26.45 KB)
  - 18_em_13_result.png(23.48 KB)
  - 18_em_14_result.png(32.36 KB)
  - 18_em_15_result.png(27.59 KB)
  - 18_em_16_result.png(12.65 KB)
  - 18_em_17_result.png(26.88 KB)
  - 18_em_18_result.png(27.49 KB)
  - 18_em_19_result.png(12.79 KB)
  - 18_em_1_result.png(14.14 KB)
  - 18_em_20_result.png(25.2 KB)
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  - 18_em_22_result.png(26.31 KB)
  - 18_em_23_result.png(29.08 KB)
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  - 18_em_2_result.png(22.26 KB)
  - 18_em_3_result.png(22.46 KB)
  - 18_em_4_result.png(12.26 KB)
  - results.txt(1.86 KB)
  - samples
    - 18_em_0_inverted.png(1.81 KB)
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    - 18_em_10_inverted.png(436 B)
    - 18_em_10_original.png(416 B)
    - 18_em_11_inverted.png(837 B)
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    - 18_em_13_inverted.png(1.43 KB)
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- visualize_inference.py(10.2 KB)
- __pycache__
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  - dataset.cpython-312.pyc(8.95 KB)
  - training.cpython-312.pyc(6.52 KB)
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  - utils.cpython-312.pyc.1408318306992(9.98 KB)
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2025数据科学与大数据毕设一套(论文+程序源代码)基于CAN的手写数学表达式识别系统定稿.zip

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2025数据科学与大数据毕设一套(论文+程序源代码)基于CAN的手写数学表达式识别系统定稿.zip原创优质

2025数据科学与大数据毕设一套(论文+程序源代码)基于CAN的手写数学表达式识别系统定稿.zip

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