Readme
This model doesn't have a readme.
aodianyun / ad-pdf-extract
- Public
- 224 runs
-
T4
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=aodianyun/ad-pdf-extract
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run aodianyun/ad-pdf-extract using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"aodianyun/ad-pdf-extract:3666ead9ca1e4da241c347a9b7d7633183a2d82e8bf65513a5b462ea0f3ec4a9",
{
input: {
pdf: "http://fm.aodianyun.com/edudoc/sw1.pdf",
method: "auto"
}
}
);
// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun aodianyun/ad-pdf-extract using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"aodianyun/ad-pdf-extract:3666ead9ca1e4da241c347a9b7d7633183a2d82e8bf65513a5b462ea0f3ec4a9",
input={
"pdf": "http://fm.aodianyun.com/edudoc/sw1.pdf",
"method": "auto"
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run aodianyun/ad-pdf-extract using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "aodianyun/ad-pdf-extract:3666ead9ca1e4da241c347a9b7d7633183a2d82e8bf65513a5b462ea0f3ec4a9",
"input": {
"pdf": "http://fm.aodianyun.com/edudoc/sw1.pdf",
"method": "auto"
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
Rendering markdown...
{
"completed_at": "2024-09-26T09:49:47.885257Z",
"created_at": "2024-09-26T09:40:51.628000Z",
"data_removed": false,
"error": null,
"id": "fzwr56bb5hrge0cj5pta96g7m4",
"input": {
"pdf": "http://fm.aodianyun.com/edudoc/sw1.pdf",
"method": "auto"
},
"logs": "start\n/tmp/tmpkkr03214sw1.pdf\n2024-09-26 09:45:07.994 | INFO | magic_pdf.libs.pdf_check:detect_invalid_chars:57 - cid_count: 0, text_len: 6, cid_chars_radio: 0.0\n2024-09-26 09:45:07.994 | WARNING | magic_pdf.filter.pdf_classify_by_type:classify:334 - pdf is not classified by area and text_len, by_image_area: False, by_text: False, by_avg_words: False, by_img_num: True, by_text_layout: False, by_img_narrow_strips: True, by_invalid_chars: True\n2024-09-26 09:45:15.442 | INFO | magic_pdf.model.pdf_extract_kit:__init__:180 - DocAnalysis init, this may take some times. apply_layout: True, apply_formula: True, apply_ocr: True, apply_table: False\n2024-09-26 09:45:15.442 | INFO | magic_pdf.model.pdf_extract_kit:__init__:188 - using device: cuda\n2024-09-26 09:45:15.442 | INFO | magic_pdf.model.pdf_extract_kit:__init__:190 - using models_dir: /src/models\nCustomVisionEncoderDecoderModel init\nCustomMBartForCausalLM init\nCustomMBartDecoder init\n[09/26 09:45:34 detectron2]: Rank of current process: 0. World size: 1\n[09/26 09:45:35 detectron2]: Environment info:\n------------------------------- ------------------------------------------------------------------------------------\nsys.platform linux\nPython 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0]\nnumpy 1.26.4\ndetectron2 0.6 @/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/detectron2\nCompiler GCC 11.4\nCUDA compiler not available\nDETECTRON2_ENV_MODULE <not set>\nPyTorch 2.3.1+cu121 @/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/torch\nPyTorch debug build False\ntorch._C._GLIBCXX_USE_CXX11_ABI False\nGPU available Yes\nGPU 0 Tesla T4 (arch=7.5)\nDriver version 535.104.12\nCUDA_HOME /usr/local/cuda\nPillow 10.4.0\ntorchvision 0.18.1+cu121 @/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/torchvision\ntorchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0\nfvcore 0.1.5.post20221221\niopath 0.1.9\ncv2 4.6.0\n------------------------------- ------------------------------------------------------------------------------------\nPyTorch built with:\n- GCC 9.3\n- C++ Version: 201703\n- Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications\n- Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)\n- OpenMP 201511 (a.k.a. OpenMP 4.5)\n- LAPACK is enabled (usually provided by MKL)\n- NNPACK is enabled\n- CPU capability usage: AVX2\n- CUDA Runtime 12.1\n- NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90\n- CuDNN 8.9\n- Built with CuDNN 8.9.2\n- Magma 2.6.1\n- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.3.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,\n[09/26 09:45:35 detectron2]: Command line arguments: {'config_file': '/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/magic_pdf/resources/model_config/layoutlmv3/layoutlmv3_base_inference.yaml', 'resume': False, 'eval_only': False, 'num_gpus': 1, 'num_machines': 1, 'machine_rank': 0, 'dist_url': 'tcp://127.0.0.1:57823', 'opts': ['MODEL.WEIGHTS', '/src/models/Layout/model_final.pth']}\n[09/26 09:45:35 detectron2]: Contents of args.config_file=/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/magic_pdf/resources/model_config/layoutlmv3/layoutlmv3_base_inference.yaml:\nAUG:\nDETR: true\nCACHE_DIR: ~/cache/huggingface\nCUDNN_BENCHMARK: false\nDATALOADER:\nASPECT_RATIO_GROUPING: true\nFILTER_EMPTY_ANNOTATIONS: false\nNUM_WORKERS: 4\nREPEAT_THRESHOLD: 0.0\nSAMPLER_TRAIN: TrainingSampler\nDATASETS:\nPRECOMPUTED_PROPOSAL_TOPK_TEST: 1000\nPRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000\nPROPOSAL_FILES_TEST: []\nPROPOSAL_FILES_TRAIN: []\nTEST:\n- scihub_train\nTRAIN:\n- scihub_train\nGLOBAL:\nHACK: 1.0\nICDAR_DATA_DIR_TEST: ''\nICDAR_DATA_DIR_TRAIN: ''\nINPUT:\nCROP:\nENABLED: true\nSIZE:\n- 384\n- 600\nTYPE: absolute_range\nFORMAT: RGB\nMASK_FORMAT: polygon\nMAX_SIZE_TEST: 1333\nMAX_SIZE_TRAIN: 1333\nMIN_SIZE_TEST: 800\nMIN_SIZE_TRAIN:\n- 480\n- 512\n- 544\n- 576\n- 608\n- 640\n- 672\n- 704\n- 736\n- 768\n- 800\nMIN_SIZE_TRAIN_SAMPLING: choice\nRANDOM_FLIP: horizontal\nMODEL:\nANCHOR_GENERATOR:\nANGLES:\n- - -90\n- 0\n- 90\nASPECT_RATIOS:\n- - 0.5\n- 1.0\n- 2.0\nNAME: DefaultAnchorGenerator\nOFFSET: 0.0\nSIZES:\n- - 32\n- - 64\n- - 128\n- - 256\n- - 512\nBACKBONE:\nFREEZE_AT: 2\nNAME: build_vit_fpn_backbone\nCONFIG_PATH: ''\nDEVICE: cuda\nFPN:\nFUSE_TYPE: sum\nIN_FEATURES:\n- layer3\n- layer5\n- layer7\n- layer11\nNORM: ''\nOUT_CHANNELS: 256\nIMAGE_ONLY: true\nKEYPOINT_ON: false\nLOAD_PROPOSALS: false\nMASK_ON: true\nMETA_ARCHITECTURE: VLGeneralizedRCNN\nPANOPTIC_FPN:\nCOMBINE:\nENABLED: true\nINSTANCES_CONFIDENCE_THRESH: 0.5\nOVERLAP_THRESH: 0.5\nSTUFF_AREA_LIMIT: 4096\nINSTANCE_LOSS_WEIGHT: 1.0\nPIXEL_MEAN:\n- 127.5\n- 127.5\n- 127.5\nPIXEL_STD:\n- 127.5\n- 127.5\n- 127.5\nPROPOSAL_GENERATOR:\nMIN_SIZE: 0\nNAME: RPN\nRESNETS:\nDEFORM_MODULATED: false\nDEFORM_NUM_GROUPS: 1\nDEFORM_ON_PER_STAGE:\n- false\n- false\n- false\n- false\nDEPTH: 50\nNORM: FrozenBN\nNUM_GROUPS: 1\nOUT_FEATURES:\n- res4\nRES2_OUT_CHANNELS: 256\nRES5_DILATION: 1\nSTEM_OUT_CHANNELS: 64\nSTRIDE_IN_1X1: true\nWIDTH_PER_GROUP: 64\nRETINANET:\nBBOX_REG_LOSS_TYPE: smooth_l1\nBBOX_REG_WEIGHTS:\n- 1.0\n- 1.0\n- 1.0\n- 1.0\nFOCAL_LOSS_ALPHA: 0.25\nFOCAL_LOSS_GAMMA: 2.0\nIN_FEATURES:\n- p3\n- p4\n- p5\n- p6\n- p7\nIOU_LABELS:\n- 0\n- -1\n- 1\nIOU_THRESHOLDS:\n- 0.4\n- 0.5\nNMS_THRESH_TEST: 0.5\nNORM: ''\nNUM_CLASSES: 10\nNUM_CONVS: 4\nPRIOR_PROB: 0.01\nSCORE_THRESH_TEST: 0.05\nSMOOTH_L1_LOSS_BETA: 0.1\nTOPK_CANDIDATES_TEST: 1000\nROI_BOX_CASCADE_HEAD:\nBBOX_REG_WEIGHTS:\n- - 10.0\n- 10.0\n- 5.0\n- 5.0\n- - 20.0\n- 20.0\n- 10.0\n- 10.0\n- - 30.0\n- 30.0\n- 15.0\n- 15.0\nIOUS:\n- 0.5\n- 0.6\n- 0.7\nROI_BOX_HEAD:\nBBOX_REG_LOSS_TYPE: smooth_l1\nBBOX_REG_LOSS_WEIGHT: 1.0\nBBOX_REG_WEIGHTS:\n- 10.0\n- 10.0\n- 5.0\n- 5.0\nCLS_AGNOSTIC_BBOX_REG: true\nCONV_DIM: 256\nFC_DIM: 1024\nNAME: FastRCNNConvFCHead\nNORM: ''\nNUM_CONV: 0\nNUM_FC: 2\nPOOLER_RESOLUTION: 7\nPOOLER_SAMPLING_RATIO: 0\nPOOLER_TYPE: ROIAlignV2\nSMOOTH_L1_BETA: 0.0\nTRAIN_ON_PRED_BOXES: false\nROI_HEADS:\nBATCH_SIZE_PER_IMAGE: 512\nIN_FEATURES:\n- p2\n- p3\n- p4\n- p5\nIOU_LABELS:\n- 0\n- 1\nIOU_THRESHOLDS:\n- 0.5\nNAME: CascadeROIHeads\nNMS_THRESH_TEST: 0.5\nNUM_CLASSES: 10\nPOSITIVE_FRACTION: 0.25\nPROPOSAL_APPEND_GT: true\nSCORE_THRESH_TEST: 0.05\nROI_KEYPOINT_HEAD:\nCONV_DIMS:\n- 512\n- 512\n- 512\n- 512\n- 512\n- 512\n- 512\n- 512\nLOSS_WEIGHT: 1.0\nMIN_KEYPOINTS_PER_IMAGE: 1\nNAME: KRCNNConvDeconvUpsampleHead\nNORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true\nNUM_KEYPOINTS: 17\nPOOLER_RESOLUTION: 14\nPOOLER_SAMPLING_RATIO: 0\nPOOLER_TYPE: ROIAlignV2\nROI_MASK_HEAD:\nCLS_AGNOSTIC_MASK: false\nCONV_DIM: 256\nNAME: MaskRCNNConvUpsampleHead\nNORM: ''\nNUM_CONV: 4\nPOOLER_RESOLUTION: 14\nPOOLER_SAMPLING_RATIO: 0\nPOOLER_TYPE: ROIAlignV2\nRPN:\nBATCH_SIZE_PER_IMAGE: 256\nBBOX_REG_LOSS_TYPE: smooth_l1\nBBOX_REG_LOSS_WEIGHT: 1.0\nBBOX_REG_WEIGHTS:\n- 1.0\n- 1.0\n- 1.0\n- 1.0\nBOUNDARY_THRESH: -1\nCONV_DIMS:\n- -1\nHEAD_NAME: StandardRPNHead\nIN_FEATURES:\n- p2\n- p3\n- p4\n- p5\n- p6\nIOU_LABELS:\n- 0\n- -1\n- 1\nIOU_THRESHOLDS:\n- 0.3\n- 0.7\nLOSS_WEIGHT: 1.0\nNMS_THRESH: 0.7\nPOSITIVE_FRACTION: 0.5\nPOST_NMS_TOPK_TEST: 1000\nPOST_NMS_TOPK_TRAIN: 2000\nPRE_NMS_TOPK_TEST: 1000\nPRE_NMS_TOPK_TRAIN: 2000\nSMOOTH_L1_BETA: 0.0\nSEM_SEG_HEAD:\nCOMMON_STRIDE: 4\nCONVS_DIM: 128\nIGNORE_VALUE: 255\nIN_FEATURES:\n- p2\n- p3\n- p4\n- p5\nLOSS_WEIGHT: 1.0\nNAME: SemSegFPNHead\nNORM: GN\nNUM_CLASSES: 10\nVIT:\nDROP_PATH: 0.1\nIMG_SIZE:\n- 224\n- 224\nNAME: layoutlmv3_base\nOUT_FEATURES:\n- layer3\n- layer5\n- layer7\n- layer11\nPOS_TYPE: abs\nWEIGHTS:\nOUTPUT_DIR:\nSCIHUB_DATA_DIR_TRAIN: ~/publaynet/layout_scihub/train\nSEED: 42\nSOLVER:\nAMP:\nENABLED: true\nBACKBONE_MULTIPLIER: 1.0\nBASE_LR: 0.0002\nBIAS_LR_FACTOR: 1.0\nCHECKPOINT_PERIOD: 2000\nCLIP_GRADIENTS:\nCLIP_TYPE: full_model\nCLIP_VALUE: 1.0\nENABLED: true\nNORM_TYPE: 2.0\nGAMMA: 0.1\nGRADIENT_ACCUMULATION_STEPS: 1\nIMS_PER_BATCH: 32\nLR_SCHEDULER_NAME: WarmupCosineLR\nMAX_ITER: 20000\nMOMENTUM: 0.9\nNESTEROV: false\nOPTIMIZER: ADAMW\nREFERENCE_WORLD_SIZE: 0\nSTEPS:\n- 10000\nWARMUP_FACTOR: 0.01\nWARMUP_ITERS: 333\nWARMUP_METHOD: linear\nWEIGHT_DECAY: 0.05\nWEIGHT_DECAY_BIAS: null\nWEIGHT_DECAY_NORM: 0.0\nTEST:\nAUG:\nENABLED: false\nFLIP: true\nMAX_SIZE: 4000\nMIN_SIZES:\n- 400\n- 500\n- 600\n- 700\n- 800\n- 900\n- 1000\n- 1100\n- 1200\nDETECTIONS_PER_IMAGE: 100\nEVAL_PERIOD: 1000\nEXPECTED_RESULTS: []\nKEYPOINT_OKS_SIGMAS: []\nPRECISE_BN:\nENABLED: false\nNUM_ITER: 200\nVERSION: 2\nVIS_PERIOD: 0\n[09/26 09:45:37 d2.checkpoint.detection_checkpoint]: [DetectionCheckpointer] Loading from /src/models/Layout/model_final.pth ...\n[09/26 09:45:37 fvcore.common.checkpoint]: [Checkpointer] Loading from /src/models/Layout/model_final.pth ...\ndownload https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_infer.tar to /root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer/ch_PP-OCRv4_det_infer.tar\n 0%| | 0.00/4.89M [00:00<?, ?iB/s]\n 0%| | 3.07k/4.89M [00:00<05:36, 14.5kiB/s]\n 1%| | 35.8k/4.89M [00:00<00:58, 83.1kiB/s]\n 1%| | 52.2k/4.89M [00:00<00:47, 102kiB/s] \n 1%|▏ | 68.6k/4.89M [00:00<00:45, 107kiB/s]\n 2%|▏ | 85.0k/4.89M [00:00<00:52, 90.8kiB/s]\n 2%|▏ | 118k/4.89M [00:01<00:44, 108kiB/s] \n 3%|▎ | 134k/4.89M [00:01<00:55, 85.2kiB/s]\n 3%|▎ | 151k/4.89M [00:01<00:58, 81.1kiB/s]\n 3%|▎ | 167k/4.89M [00:01<01:01, 76.9kiB/s]\n 4%|▎ | 183k/4.89M [00:02<01:03, 74.1kiB/s]\n 4%|▍ | 200k/4.89M [00:02<01:03, 73.4kiB/s]\n 4%|▍ | 216k/4.89M [00:02<01:05, 71.7kiB/s]\n 5%|▍ | 232k/4.89M [00:02<01:02, 74.2kiB/s]\n 5%|▌ | 249k/4.89M [00:03<01:04, 72.2kiB/s]\n 5%|▌ | 265k/4.89M [00:03<01:01, 75.5kiB/s]\n 6%|▌ | 282k/4.89M [00:03<01:03, 73.0kiB/s]\n 6%|▌ | 298k/4.89M [00:03<01:03, 72.7kiB/s]\n 6%|▋ | 314k/4.89M [00:04<01:04, 71.2kiB/s]\n 7%|▋ | 331k/4.89M [00:04<01:09, 65.6kiB/s]\n 7%|▋ | 347k/4.89M [00:04<01:17, 59.0kiB/s]\n 7%|▋ | 364k/4.89M [00:04<01:17, 58.7kiB/s]\n 8%|▊ | 380k/4.89M [00:05<01:19, 56.9kiB/s]\n 8%|▊ | 396k/4.89M [00:05<01:21, 55.2kiB/s]\n 8%|▊ | 413k/4.89M [00:05<01:19, 56.3kiB/s]\n 9%|▉ | 429k/4.89M [00:06<01:23, 53.6kiB/s]\n 9%|▉ | 445k/4.89M [00:06<01:22, 54.1kiB/s]\n 9%|▉ | 462k/4.89M [00:06<01:22, 54.0kiB/s]\n 10%|▉ | 478k/4.89M [00:07<01:21, 53.9kiB/s]\n 10%|█ | 495k/4.89M [00:07<01:23, 53.0kiB/s]\n 10%|█ | 511k/4.89M [00:07<01:22, 52.9kiB/s]\n 11%|█ | 527k/4.89M [00:08<01:24, 51.4kiB/s]\n 11%|█ | 544k/4.89M [00:08<01:24, 51.3kiB/s]\n 11%|█▏ | 560k/4.89M [00:08<01:23, 51.7kiB/s]\n 12%|█▏ | 577k/4.89M [00:09<01:25, 50.7kiB/s]\n 12%|█▏ | 593k/4.89M [00:09<01:24, 51.2kiB/s]\n 12%|█▏ | 609k/4.89M [00:10<01:48, 39.6kiB/s]\n 13%|█▎ | 626k/4.89M [00:10<01:33, 45.5kiB/s]\n 13%|█▎ | 642k/4.89M [00:10<01:25, 49.9kiB/s]\n 13%|█▎ | 658k/4.89M [00:10<01:14, 56.9kiB/s]\n 14%|█▍ | 675k/4.89M [00:10<01:07, 62.5kiB/s]\n 14%|█▍ | 691k/4.89M [00:11<01:00, 69.4kiB/s]\n 14%|█▍ | 708k/4.89M [00:11<00:53, 77.6kiB/s]\n 15%|█▍ | 724k/4.89M [00:11<00:49, 84.7kiB/s]\n 15%|█▌ | 740k/4.89M [00:11<00:44, 94.1kiB/s]\n 15%|█▌ | 757k/4.89M [00:11<00:40, 101kiB/s] \n 16%|█▌ | 773k/4.89M [00:11<00:37, 111kiB/s]\n 16%|█▌ | 790k/4.89M [00:11<00:34, 119kiB/s]\n 17%|█▋ | 822k/4.89M [00:12<00:30, 135kiB/s]\n 17%|█▋ | 855k/4.89M [00:12<00:26, 151kiB/s]\n 18%|█▊ | 888k/4.89M [00:12<00:24, 167kiB/s]\n 19%|█▉ | 921k/4.89M [00:12<00:22, 179kiB/s]\n 19%|█▉ | 953k/4.89M [00:12<00:20, 195kiB/s]\n 20%|██ | 986k/4.89M [00:12<00:18, 208kiB/s]\n 21%|██ | 1.02M/4.89M [00:12<00:17, 226kiB/s]\n 21%|██▏ | 1.05M/4.89M [00:13<00:15, 246kiB/s]\n 22%|██▏ | 1.08M/4.89M [00:13<00:14, 263kiB/s]\n 23%|██▎ | 1.12M/4.89M [00:13<00:13, 277kiB/s]\n 24%|██▍ | 1.17M/4.89M [00:13<00:12, 305kiB/s]\n 25%|██▍ | 1.22M/4.89M [00:13<00:11, 330kiB/s]\n 26%|██▌ | 1.26M/4.89M [00:13<00:10, 353kiB/s]\n 27%|██▋ | 1.31M/4.89M [00:13<00:09, 373kiB/s]\n 28%|██▊ | 1.36M/4.89M [00:13<00:08, 400kiB/s]\n 29%|██▉ | 1.41M/4.89M [00:13<00:08, 425kiB/s]\n 30%|███ | 1.48M/4.89M [00:14<00:07, 462kiB/s]\n 32%|███▏ | 1.54M/4.89M [00:14<00:06, 491kiB/s]\n 33%|███▎ | 1.61M/4.89M [00:14<00:06, 522kiB/s]\n 35%|███▍ | 1.69M/4.89M [00:14<00:05, 568kiB/s]\n 36%|███▌ | 1.77M/4.89M [00:14<00:05, 605kiB/s]\n 38%|███▊ | 1.85M/4.89M [00:14<00:04, 641kiB/s]\n 40%|███▉ | 1.94M/4.89M [00:14<00:04, 682kiB/s]\n 42%|████▏ | 2.03M/4.89M [00:14<00:03, 733kiB/s]\n 44%|████▎ | 2.13M/4.89M [00:14<00:03, 784kiB/s]\n 46%|████▌ | 2.23M/4.89M [00:15<00:03, 831kiB/s]\n 48%|████▊ | 2.35M/4.89M [00:15<00:02, 895kiB/s]\n 50%|█████ | 2.46M/4.89M [00:15<00:02, 948kiB/s]\n 53%|█████▎ | 2.59M/4.89M [00:15<00:02, 1.01MiB/s]\n 56%|█████▌ | 2.72M/4.89M [00:15<00:02, 1.08MiB/s]\n 58%|█████▊ | 2.85M/4.89M [00:15<00:01, 1.14MiB/s]\n 61%|██████▏ | 3.00M/4.89M [00:15<00:01, 1.22MiB/s]\n 65%|██████▍ | 3.17M/4.89M [00:15<00:01, 1.31MiB/s]\n 68%|██████▊ | 3.33M/4.89M [00:15<00:01, 1.39MiB/s]\n 72%|███████▏ | 3.51M/4.89M [00:16<00:00, 1.47MiB/s]\n 75%|███████▌ | 3.69M/4.89M [00:16<00:00, 1.57MiB/s]\n 79%|███████▉ | 3.89M/4.89M [00:16<00:00, 1.67MiB/s]\n 84%|████████▎ | 4.10M/4.89M [00:16<00:00, 1.77MiB/s]\n 88%|████████▊ | 4.33M/4.89M [00:16<00:00, 1.89MiB/s]\n 93%|█████████▎| 4.56M/4.89M [00:16<00:00, 2.00MiB/s]\n 98%|█████████▊| 4.80M/4.89M [00:16<00:00, 2.13MiB/s]\n100%|██████████| 4.89M/4.89M [00:16<00:00, 293kiB/s]\ndownload https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_infer.tar to /root/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer/ch_PP-OCRv4_rec_infer.tar\n 0%| | 0.00/11.0M [00:00<?, ?iB/s]\n 0%| | 16.4k/11.0M [00:00<02:07, 85.7kiB/s]\n 1%| | 65.5k/11.0M [00:00<01:20, 135kiB/s] \n 1%| | 98.3k/11.0M [00:00<01:21, 133kiB/s]\n 1%| | 131k/11.0M [00:00<01:15, 143kiB/s] \n 2%|▏ | 180k/11.0M [00:01<01:12, 149kiB/s]\n 2%|▏ | 213k/11.0M [00:01<01:20, 134kiB/s]\n 2%|▏ | 229k/11.0M [00:01<01:19, 135kiB/s]\n 2%|▏ | 246k/11.0M [00:01<01:24, 127kiB/s]\n 2%|▏ | 262k/11.0M [00:02<01:33, 115kiB/s]\n 3%|▎ | 279k/11.0M [00:02<01:28, 121kiB/s]\n 3%|▎ | 295k/11.0M [00:02<01:34, 114kiB/s]\n 3%|▎ | 311k/11.0M [00:02<01:28, 120kiB/s]\n 3%|▎ | 328k/11.0M [00:02<01:38, 109kiB/s]\n 3%|▎ | 344k/11.0M [00:02<01:43, 103kiB/s]\n 3%|▎ | 377k/11.0M [00:03<01:40, 105kiB/s]\n 4%|▎ | 393k/11.0M [00:03<01:32, 114kiB/s]\n 4%|▎ | 410k/11.0M [00:03<01:39, 106kiB/s]\n 4%|▍ | 426k/11.0M [00:03<01:38, 108kiB/s]\n 4%|▍ | 442k/11.0M [00:03<01:40, 105kiB/s]\n 4%|▍ | 462k/11.0M [00:03<01:41, 104kiB/s]\n 4%|▍ | 478k/11.0M [00:04<01:33, 113kiB/s]\n 5%|▍ | 495k/11.0M [00:04<01:44, 101kiB/s]\n 5%|▍ | 511k/11.0M [00:04<01:54, 91.7kiB/s]\n 5%|▍ | 527k/11.0M [00:04<01:50, 94.4kiB/s]\n 5%|▍ | 544k/11.0M [00:04<02:06, 82.4kiB/s]\n 5%|▌ | 560k/11.0M [00:05<02:09, 80.3kiB/s]\n 5%|▌ | 577k/11.0M [00:05<02:15, 76.7kiB/s]\n 5%|▌ | 593k/11.0M [00:05<02:19, 74.2kiB/s]\n 6%|▌ | 609k/11.0M [00:05<02:22, 72.5kiB/s]\n 6%|▌ | 626k/11.0M [00:05<02:10, 79.5kiB/s]\n 6%|▌ | 642k/11.0M [00:06<02:16, 75.8kiB/s]\n 6%|▌ | 658k/11.0M [00:06<02:18, 74.4kiB/s]\n 6%|▌ | 675k/11.0M [00:06<02:22, 72.2kiB/s]\n 6%|▋ | 691k/11.0M [00:06<02:19, 73.7kiB/s]\n 6%|▋ | 708k/11.0M [00:07<02:14, 76.6kiB/s]\n 7%|▋ | 724k/11.0M [00:07<02:19, 73.6kiB/s]\n 7%|▋ | 740k/11.0M [00:07<02:27, 69.3kiB/s]\n 7%|▋ | 757k/11.0M [00:07<02:40, 63.5kiB/s]\n 7%|▋ | 773k/11.0M [00:08<02:40, 63.7kiB/s]\n 7%|▋ | 790k/11.0M [00:08<02:42, 62.7kiB/s]\n 7%|▋ | 806k/11.0M [00:08<02:41, 63.1kiB/s]\n 7%|▋ | 822k/11.0M [00:08<02:43, 62.0kiB/s]\n 8%|▊ | 839k/11.0M [00:09<02:43, 62.2kiB/s]\n 8%|▊ | 855k/11.0M [00:09<03:17, 51.3kiB/s]\n 8%|▊ | 871k/11.0M [00:10<03:31, 47.9kiB/s]\n 8%|▊ | 888k/11.0M [00:10<03:03, 55.1kiB/s]\n 8%|▊ | 904k/11.0M [00:10<02:42, 62.0kiB/s]\n 8%|▊ | 921k/11.0M [00:10<02:22, 70.8kiB/s]\n 9%|▊ | 937k/11.0M [00:10<02:09, 77.6kiB/s]\n 9%|▊ | 953k/11.0M [00:10<01:55, 87.2kiB/s]\n 9%|▉ | 970k/11.0M [00:11<01:45, 94.4kiB/s]\n 9%|▉ | 986k/11.0M [00:11<01:35, 104kiB/s] \n 9%|▉ | 1.00M/11.0M [00:11<01:29, 112kiB/s]\n 9%|▉ | 1.02M/11.0M [00:11<01:22, 121kiB/s]\n 9%|▉ | 1.04M/11.0M [00:11<01:17, 129kiB/s]\n 10%|▉ | 1.07M/11.0M [00:11<01:08, 144kiB/s]\n 10%|█ | 1.10M/11.0M [00:11<01:01, 162kiB/s]\n 10%|█ | 1.13M/11.0M [00:12<00:57, 172kiB/s]\n 11%|█ | 1.17M/11.0M [00:12<00:52, 187kiB/s]\n 11%|█ | 1.20M/11.0M [00:12<00:49, 199kiB/s]\n 11%|█ | 1.23M/11.0M [00:12<00:44, 220kiB/s]\n 12%|█▏ | 1.26M/11.0M [00:12<00:42, 229kiB/s]\n 12%|█▏ | 1.30M/11.0M [00:12<00:39, 246kiB/s]\n 12%|█▏ | 1.33M/11.0M [00:12<00:37, 260kiB/s]\n 13%|█▎ | 1.38M/11.0M [00:12<00:30, 312kiB/s]\n 13%|█▎ | 1.41M/11.0M [00:12<00:32, 298kiB/s]\n 13%|█▎ | 1.46M/11.0M [00:13<00:29, 318kiB/s]\n 14%|█▍ | 1.51M/11.0M [00:13<00:27, 345kiB/s]\n 14%|█▍ | 1.56M/11.0M [00:13<00:25, 367kiB/s]\n 15%|█▍ | 1.61M/11.0M [00:13<00:23, 394kiB/s]\n 15%|█▌ | 1.66M/11.0M [00:13<00:22, 414kiB/s]\n 16%|█▌ | 1.72M/11.0M [00:13<00:20, 450kiB/s]\n 16%|█▋ | 1.79M/11.0M [00:13<00:19, 478kiB/s]\n 17%|█▋ | 1.85M/11.0M [00:13<00:17, 513kiB/s]\n 17%|█▋ | 1.92M/11.0M [00:14<00:16, 536kiB/s]\n 18%|█▊ | 2.00M/11.0M [00:14<00:15, 579kiB/s]\n 19%|█▉ | 2.08M/11.0M [00:14<00:14, 613kiB/s]\n 20%|█▉ | 2.16M/11.0M [00:14<00:13, 652kiB/s]\n 20%|██ | 2.25M/11.0M [00:14<00:12, 690kiB/s]\n 21%|██▏ | 2.34M/11.0M [00:14<00:11, 742kiB/s]\n 22%|██▏ | 2.44M/11.0M [00:14<00:10, 786kiB/s]\n 23%|██▎ | 2.54M/11.0M [00:14<00:10, 830kiB/s]\n 24%|██▍ | 2.66M/11.0M [00:14<00:09, 885kiB/s]\n 25%|██▌ | 2.77M/11.0M [00:15<00:08, 943kiB/s]\n 26%|██▋ | 2.89M/11.0M [00:15<00:08, 989kiB/s]\n 27%|██▋ | 3.02M/11.0M [00:15<00:07, 1.05MiB/s]\n 29%|██▊ | 3.15M/11.0M [00:15<00:07, 1.11MiB/s]\n 30%|███ | 3.30M/11.0M [00:15<00:06, 1.18MiB/s]\n 31%|███▏ | 3.44M/11.0M [00:15<00:06, 1.25MiB/s]\n 33%|███▎ | 3.61M/11.0M [00:15<00:05, 1.32MiB/s]\n 34%|███▍ | 3.77M/11.0M [00:15<00:05, 1.40MiB/s]\n 36%|███▌ | 3.95M/11.0M [00:15<00:04, 1.49MiB/s]\n 38%|███▊ | 4.13M/11.0M [00:16<00:04, 1.56MiB/s]\n 39%|███▉ | 4.33M/11.0M [00:16<00:03, 1.66MiB/s]\n 41%|████ | 4.52M/11.0M [00:16<00:03, 1.74MiB/s]\n 43%|████▎ | 4.74M/11.0M [00:16<00:03, 1.85MiB/s]\n 45%|████▌ | 4.97M/11.0M [00:16<00:03, 1.96MiB/s]\n 47%|████▋ | 5.21M/11.0M [00:16<00:02, 2.08MiB/s]\n 50%|████▉ | 5.47M/11.0M [00:16<00:02, 2.24MiB/s]\n 52%|█████▏ | 5.72M/11.0M [00:16<00:02, 2.29MiB/s]\n 55%|█████▍ | 6.00M/11.0M [00:16<00:02, 2.43MiB/s]\n 57%|█████▋ | 6.29M/11.0M [00:16<00:01, 2.57MiB/s]\n 60%|██████ | 6.60M/11.0M [00:17<00:01, 2.71MiB/s]\n 63%|██████▎ | 6.93M/11.0M [00:17<00:01, 2.86MiB/s]\n 66%|██████▋ | 7.28M/11.0M [00:17<00:01, 3.03MiB/s]\n 70%|██████▉ | 7.64M/11.0M [00:17<00:01, 3.19MiB/s]\n 73%|███████▎ | 8.02M/11.0M [00:17<00:00, 3.38MiB/s]\n 77%|███████▋ | 8.41M/11.0M [00:17<00:00, 3.52MiB/s]\n 80%|████████ | 8.83M/11.0M [00:17<00:00, 3.72MiB/s]\n 84%|████████▍ | 9.28M/11.0M [00:17<00:00, 3.91MiB/s]\n 89%|████████▉ | 9.75M/11.0M [00:17<00:00, 4.13MiB/s]\n 93%|█████████▎| 10.2M/11.0M [00:17<00:00, 4.31MiB/s]\n 98%|█████████▊| 10.7M/11.0M [00:18<00:00, 4.56MiB/s]\n100%|██████████| 11.0M/11.0M [00:18<00:00, 607kiB/s]\ndownload https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar to /root/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer/ch_ppocr_mobile_v2.0_cls_infer.tar\n 0%| | 0.00/2.19M [00:00<?, ?iB/s]\n 0%| | 3.07k/2.19M [00:00<02:56, 12.4kiB/s]\n 2%|▏ | 35.8k/2.19M [00:00<00:30, 71.0kiB/s]\n 2%|▏ | 52.2k/2.19M [00:00<00:26, 80.5kiB/s]\n 3%|▎ | 68.6k/2.19M [00:00<00:23, 89.5kiB/s]\n 4%|▍ | 85.0k/2.19M [00:01<00:28, 74.9kiB/s]\n 5%|▌ | 118k/2.19M [00:01<00:23, 88.3kiB/s] \n 6%|▌ | 134k/2.19M [00:01<00:28, 71.1kiB/s]\n 7%|▋ | 151k/2.19M [00:02<00:30, 66.1kiB/s]\n 8%|▊ | 167k/2.19M [00:02<00:32, 62.2kiB/s]\n 8%|▊ | 183k/2.19M [00:02<00:33, 60.2kiB/s]\n 9%|▉ | 200k/2.19M [00:03<00:33, 59.2kiB/s]\n 10%|▉ | 216k/2.19M [00:03<00:34, 56.7kiB/s]\n 11%|█ | 232k/2.19M [00:03<00:33, 58.8kiB/s]\n 11%|█▏ | 249k/2.19M [00:03<00:33, 57.4kiB/s]\n 12%|█▏ | 265k/2.19M [00:04<00:31, 61.1kiB/s]\n 13%|█▎ | 282k/2.19M [00:04<00:32, 58.5kiB/s]\n 14%|█▎ | 298k/2.19M [00:04<00:32, 58.4kiB/s]\n 14%|█▍ | 314k/2.19M [00:04<00:32, 57.8kiB/s]\n 15%|█▌ | 331k/2.19M [00:05<00:35, 51.8kiB/s]\n 16%|█▌ | 347k/2.19M [00:05<00:40, 45.3kiB/s]\n 17%|█▋ | 364k/2.19M [00:06<00:40, 45.0kiB/s]\n 17%|█▋ | 380k/2.19M [00:06<00:40, 44.4kiB/s]\n 18%|█▊ | 396k/2.19M [00:06<00:41, 43.5kiB/s]\n 19%|█▉ | 413k/2.19M [00:07<00:40, 43.4kiB/s]\n 20%|█▉ | 429k/2.19M [00:07<00:41, 42.8kiB/s]\n 20%|██ | 445k/2.19M [00:08<00:39, 43.9kiB/s]\n 21%|██ | 462k/2.19M [00:08<00:39, 43.6kiB/s]\n 22%|██▏ | 478k/2.19M [00:08<00:38, 44.5kiB/s]\n 23%|██▎ | 495k/2.19M [00:09<00:38, 43.5kiB/s]\n 23%|██▎ | 511k/2.19M [00:10<00:50, 33.0kiB/s]\n 24%|██▍ | 527k/2.19M [00:10<00:46, 36.1kiB/s]\n 25%|██▍ | 544k/2.19M [00:10<00:40, 40.5kiB/s]\n 26%|██▌ | 560k/2.19M [00:10<00:35, 45.8kiB/s]\n 26%|██▋ | 577k/2.19M [00:11<00:31, 50.9kiB/s]\n 27%|██▋ | 593k/2.19M [00:11<00:28, 56.8kiB/s]\n 28%|██▊ | 609k/2.19M [00:11<00:25, 62.0kiB/s]\n 29%|██▊ | 626k/2.19M [00:11<00:22, 68.4kiB/s]\n 29%|██▉ | 642k/2.19M [00:11<00:21, 73.4kiB/s]\n 30%|███ | 658k/2.19M [00:12<00:19, 80.4kiB/s]\n 31%|███ | 675k/2.19M [00:12<00:17, 85.4kiB/s]\n 32%|███▏ | 691k/2.19M [00:12<00:16, 90.5kiB/s]\n 32%|███▏ | 708k/2.19M [00:12<00:15, 97.8kiB/s]\n 33%|███▎ | 724k/2.19M [00:12<00:14, 103kiB/s] \n 34%|███▍ | 740k/2.19M [00:12<00:12, 112kiB/s]\n 35%|███▍ | 757k/2.19M [00:12<00:12, 117kiB/s]\n 35%|███▌ | 773k/2.19M [00:13<00:11, 126kiB/s]\n 36%|███▌ | 790k/2.19M [00:13<00:10, 135kiB/s]\n 38%|███▊ | 822k/2.19M [00:13<00:09, 145kiB/s]\n 39%|███▉ | 855k/2.19M [00:13<00:08, 158kiB/s]\n 41%|████ | 888k/2.19M [00:13<00:07, 169kiB/s]\n 42%|████▏ | 921k/2.19M [00:13<00:07, 177kiB/s]\n 44%|████▎ | 953k/2.19M [00:14<00:06, 190kiB/s]\n 45%|████▌ | 986k/2.19M [00:14<00:06, 200kiB/s]\n 47%|████▋ | 1.02M/2.19M [00:14<00:06, 182kiB/s]\n 48%|████▊ | 1.05M/2.19M [00:14<00:05, 190kiB/s]\n 50%|████▉ | 1.08M/2.19M [00:14<00:05, 198kiB/s]\n 51%|█████ | 1.12M/2.19M [00:14<00:05, 201kiB/s]\n 53%|█████▎ | 1.15M/2.19M [00:14<00:05, 205kiB/s]\n 54%|█████▍ | 1.18M/2.19M [00:15<00:04, 211kiB/s]\n 56%|█████▌ | 1.22M/2.19M [00:15<00:04, 213kiB/s]\n 57%|█████▋ | 1.25M/2.19M [00:15<00:04, 211kiB/s]\n 59%|█████▊ | 1.28M/2.19M [00:15<00:04, 213kiB/s]\n 60%|██████ | 1.31M/2.19M [00:15<00:04, 211kiB/s]\n 62%|██████▏ | 1.35M/2.19M [00:15<00:03, 216kiB/s]\n 63%|██████▎ | 1.38M/2.19M [00:16<00:03, 220kiB/s]\n 65%|██████▍ | 1.41M/2.19M [00:16<00:03, 231kiB/s]\n 66%|██████▌ | 1.44M/2.19M [00:16<00:03, 243kiB/s]\n 68%|██████▊ | 1.48M/2.19M [00:16<00:02, 256kiB/s]\n 69%|██████▉ | 1.51M/2.19M [00:16<00:02, 269kiB/s]\n 71%|███████ | 1.54M/2.19M [00:16<00:02, 279kiB/s]\n 72%|███████▏ | 1.58M/2.19M [00:16<00:02, 282kiB/s]\n 73%|███████▎ | 1.61M/2.19M [00:16<00:02, 251kiB/s]\n 75%|███████▍ | 1.64M/2.19M [00:16<00:02, 263kiB/s]\n 76%|███████▋ | 1.67M/2.19M [00:17<00:01, 276kiB/s]\n 78%|███████▊ | 1.71M/2.19M [00:17<00:01, 280kiB/s]\n 79%|███████▉ | 1.74M/2.19M [00:17<00:01, 286kiB/s]\n 81%|████████ | 1.77M/2.19M [00:17<00:01, 294kiB/s]\n 82%|████████▏ | 1.81M/2.19M [00:17<00:01, 296kiB/s]\n 84%|████████▍ | 1.84M/2.19M [00:17<00:01, 294kiB/s]\n 85%|████████▌ | 1.87M/2.19M [00:17<00:01, 297kiB/s]\n 87%|████████▋ | 1.90M/2.19M [00:17<00:00, 295kiB/s]\n 88%|████████▊ | 1.94M/2.19M [00:17<00:00, 297kiB/s]\n 90%|████████▉ | 1.97M/2.19M [00:18<00:00, 303kiB/s]\n 91%|█████████▏| 2.00M/2.19M [00:18<00:00, 303kiB/s]\n 93%|█████████▎| 2.03M/2.19M [00:18<00:00, 299kiB/s]\n 94%|█████████▍| 2.07M/2.19M [00:18<00:00, 300kiB/s]\n 97%|█████████▋| 2.12M/2.19M [00:18<00:00, 319kiB/s]\n 99%|█████████▉| 2.17M/2.19M [00:18<00:00, 340kiB/s]\n100%|██████████| 2.19M/2.19M [00:18<00:00, 117kiB/s]\n2024-09-26 09:46:35.967 | INFO | magic_pdf.model.pdf_extract_kit:__init__:248 - DocAnalysis init done!\n2024-09-26 09:46:35.968 | INFO | magic_pdf.model.doc_analyze_by_custom_model:custom_model_init:98 - model init cost: 87.97307825088501\n2024-09-26 09:46:39.620 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.91\n0: 1888x1504 14 embeddings, 237.6ms\nSpeed: 21.7ms preprocess, 237.6ms inference, 1.8ms postprocess per image at shape (1, 3, 1888, 1504)\n2024-09-26 09:46:41.567 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 14, mfr time: 0.72\n2024-09-26 09:47:03.059 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 21.48\n2024-09-26 09:47:04.696 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.64\n0: 1888x1344 12 embeddings, 217.7ms\nSpeed: 18.7ms preprocess, 217.7ms inference, 1.7ms postprocess per image at shape (1, 3, 1888, 1344)\n2024-09-26 09:47:05.967 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 12, mfr time: 0.85\n2024-09-26 09:47:28.866 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 22.88\n2024-09-26 09:47:30.793 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.93\n0: 1888x1376 1 embedding, 223.2ms\nSpeed: 24.1ms preprocess, 223.2ms inference, 1.8ms postprocess per image at shape (1, 3, 1888, 1376)\n2024-09-26 09:47:31.647 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 1, mfr time: 0.58\n2024-09-26 09:48:00.164 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 28.5\n2024-09-26 09:48:01.953 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.79\n0: 1888x1344 3 embeddings, 215.8ms\nSpeed: 20.7ms preprocess, 215.8ms inference, 1.4ms postprocess per image at shape (1, 3, 1888, 1344)\n2024-09-26 09:48:02.637 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 3, mfr time: 0.39\n2024-09-26 09:48:28.050 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 25.4\n2024-09-26 09:48:30.080 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 2.03\n0: 1888x1280 1 embedding, 204.6ms\nSpeed: 19.8ms preprocess, 204.6ms inference, 2.0ms postprocess per image at shape (1, 3, 1888, 1280)\n2024-09-26 09:48:30.646 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 1, mfr time: 0.32\n2024-09-26 09:49:09.381 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 38.72\n2024-09-26 09:49:11.338 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.96\n0: 1888x1408 2 embeddings, 235.1ms\nSpeed: 23.4ms preprocess, 235.1ms inference, 1.5ms postprocess per image at shape (1, 3, 1888, 1408)\n2024-09-26 09:49:12.379 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 2, mfr time: 0.74\n2024-09-26 09:49:46.451 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 34.06\n2024-09-26 09:49:46.452 | INFO | magic_pdf.model.doc_analyze_by_custom_model:doc_analyze:136 - doc analyze cost: 188.74599361419678\n2024-09-26 09:49:47.552 | INFO | magic_pdf.pipe.UNIPipe:pipe_mk_uni_format:48 - uni_pipe mk content list finished\n2024-09-26 09:49:47.567 | INFO | magic_pdf.pipe.UNIPipe:pipe_mk_markdown:53 - uni_pipe mk mm_markdown finished\nend",
"metrics": {
"predict_time": 283.02873374,
"total_time": 536.257257
},
"output": [
"https://replicate.delivery/czjl/N7aItThxCGpuLZoRRJh472aijOVSko10L6qfaL3A2rpdAXwJA/edupdf.md",
"https://replicate.delivery/czjl/qbgwHw8RbvrIG1OPfEKwjCJIH8NL2RsaGo0mNo649pkdAXwJA/edupdf.zip"
],
"started_at": "2024-09-26T09:45:04.856524Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/fzwr56bb5hrge0cj5pta96g7m4",
"cancel": "https://api.replicate.com/v1/predictions/fzwr56bb5hrge0cj5pta96g7m4/cancel"
},
"version": "8760c9da25e67ab85d40c0efb56dbc75e2d0553de0f665cd7c8af7c58d6b48a9"
}Generated in
start
/tmp/tmpkkr03214sw1.pdf
2024-09-26 09:45:07.994 | INFO | magic_pdf.libs.pdf_check:detect_invalid_chars:57 - cid_count: 0, text_len: 6, cid_chars_radio: 0.0
2024-09-26 09:45:07.994 | WARNING | magic_pdf.filter.pdf_classify_by_type:classify:334 - pdf is not classified by area and text_len, by_image_area: False, by_text: False, by_avg_words: False, by_img_num: True, by_text_layout: False, by_img_narrow_strips: True, by_invalid_chars: True
2024-09-26 09:45:15.442 | INFO | magic_pdf.model.pdf_extract_kit:__init__:180 - DocAnalysis init, this may take some times. apply_layout: True, apply_formula: True, apply_ocr: True, apply_table: False
2024-09-26 09:45:15.442 | INFO | magic_pdf.model.pdf_extract_kit:__init__:188 - using device: cuda
2024-09-26 09:45:15.442 | INFO | magic_pdf.model.pdf_extract_kit:__init__:190 - using models_dir: /src/models
CustomVisionEncoderDecoderModel init
CustomMBartForCausalLM init
CustomMBartDecoder init
[09/26 09:45:34 detectron2]: Rank of current process: 0. World size: 1
[09/26 09:45:35 detectron2]: Environment info:
------------------------------- ------------------------------------------------------------------------------------
sys.platform linux
Python 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0]
numpy 1.26.4
detectron2 0.6 @/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/detectron2
Compiler GCC 11.4
CUDA compiler not available
DETECTRON2_ENV_MODULE <not set>
PyTorch 2.3.1+cu121 @/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/torch
PyTorch debug build False
torch._C._GLIBCXX_USE_CXX11_ABI False
GPU available Yes
GPU 0 Tesla T4 (arch=7.5)
Driver version 535.104.12
CUDA_HOME /usr/local/cuda
Pillow 10.4.0
torchvision 0.18.1+cu121 @/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/torchvision
torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0
fvcore 0.1.5.post20221221
iopath 0.1.9
cv2 4.6.0
------------------------------- ------------------------------------------------------------------------------------
PyTorch built with:
- GCC 9.3
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 12.1
- NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90
- CuDNN 8.9
- Built with CuDNN 8.9.2
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.3.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,
[09/26 09:45:35 detectron2]: Command line arguments: {'config_file': '/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/magic_pdf/resources/model_config/layoutlmv3/layoutlmv3_base_inference.yaml', 'resume': False, 'eval_only': False, 'num_gpus': 1, 'num_machines': 1, 'machine_rank': 0, 'dist_url': 'tcp://127.0.0.1:57823', 'opts': ['MODEL.WEIGHTS', '/src/models/Layout/model_final.pth']}
[09/26 09:45:35 detectron2]: Contents of args.config_file=/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/magic_pdf/resources/model_config/layoutlmv3/layoutlmv3_base_inference.yaml:
AUG:
DETR: true
CACHE_DIR: ~/cache/huggingface
CUDNN_BENCHMARK: false
DATALOADER:
ASPECT_RATIO_GROUPING: true
FILTER_EMPTY_ANNOTATIONS: false
NUM_WORKERS: 4
REPEAT_THRESHOLD: 0.0
SAMPLER_TRAIN: TrainingSampler
DATASETS:
PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
PROPOSAL_FILES_TEST: []
PROPOSAL_FILES_TRAIN: []
TEST:
- scihub_train
TRAIN:
- scihub_train
GLOBAL:
HACK: 1.0
ICDAR_DATA_DIR_TEST: ''
ICDAR_DATA_DIR_TRAIN: ''
INPUT:
CROP:
ENABLED: true
SIZE:
- 384
- 600
TYPE: absolute_range
FORMAT: RGB
MASK_FORMAT: polygon
MAX_SIZE_TEST: 1333
MAX_SIZE_TRAIN: 1333
MIN_SIZE_TEST: 800
MIN_SIZE_TRAIN:
- 480
- 512
- 544
- 576
- 608
- 640
- 672
- 704
- 736
- 768
- 800
MIN_SIZE_TRAIN_SAMPLING: choice
RANDOM_FLIP: horizontal
MODEL:
ANCHOR_GENERATOR:
ANGLES:
- - -90
- 0
- 90
ASPECT_RATIOS:
- - 0.5
- 1.0
- 2.0
NAME: DefaultAnchorGenerator
OFFSET: 0.0
SIZES:
- - 32
- - 64
- - 128
- - 256
- - 512
BACKBONE:
FREEZE_AT: 2
NAME: build_vit_fpn_backbone
CONFIG_PATH: ''
DEVICE: cuda
FPN:
FUSE_TYPE: sum
IN_FEATURES:
- layer3
- layer5
- layer7
- layer11
NORM: ''
OUT_CHANNELS: 256
IMAGE_ONLY: true
KEYPOINT_ON: false
LOAD_PROPOSALS: false
MASK_ON: true
META_ARCHITECTURE: VLGeneralizedRCNN
PANOPTIC_FPN:
COMBINE:
ENABLED: true
INSTANCES_CONFIDENCE_THRESH: 0.5
OVERLAP_THRESH: 0.5
STUFF_AREA_LIMIT: 4096
INSTANCE_LOSS_WEIGHT: 1.0
PIXEL_MEAN:
- 127.5
- 127.5
- 127.5
PIXEL_STD:
- 127.5
- 127.5
- 127.5
PROPOSAL_GENERATOR:
MIN_SIZE: 0
NAME: RPN
RESNETS:
DEFORM_MODULATED: false
DEFORM_NUM_GROUPS: 1
DEFORM_ON_PER_STAGE:
- false
- false
- false
- false
DEPTH: 50
NORM: FrozenBN
NUM_GROUPS: 1
OUT_FEATURES:
- res4
RES2_OUT_CHANNELS: 256
RES5_DILATION: 1
STEM_OUT_CHANNELS: 64
STRIDE_IN_1X1: true
WIDTH_PER_GROUP: 64
RETINANET:
BBOX_REG_LOSS_TYPE: smooth_l1
BBOX_REG_WEIGHTS:
- 1.0
- 1.0
- 1.0
- 1.0
FOCAL_LOSS_ALPHA: 0.25
FOCAL_LOSS_GAMMA: 2.0
IN_FEATURES:
- p3
- p4
- p5
- p6
- p7
IOU_LABELS:
- 0
- -1
- 1
IOU_THRESHOLDS:
- 0.4
- 0.5
NMS_THRESH_TEST: 0.5
NORM: ''
NUM_CLASSES: 10
NUM_CONVS: 4
PRIOR_PROB: 0.01
SCORE_THRESH_TEST: 0.05
SMOOTH_L1_LOSS_BETA: 0.1
TOPK_CANDIDATES_TEST: 1000
ROI_BOX_CASCADE_HEAD:
BBOX_REG_WEIGHTS:
- - 10.0
- 10.0
- 5.0
- 5.0
- - 20.0
- 20.0
- 10.0
- 10.0
- - 30.0
- 30.0
- 15.0
- 15.0
IOUS:
- 0.5
- 0.6
- 0.7
ROI_BOX_HEAD:
BBOX_REG_LOSS_TYPE: smooth_l1
BBOX_REG_LOSS_WEIGHT: 1.0
BBOX_REG_WEIGHTS:
- 10.0
- 10.0
- 5.0
- 5.0
CLS_AGNOSTIC_BBOX_REG: true
CONV_DIM: 256
FC_DIM: 1024
NAME: FastRCNNConvFCHead
NORM: ''
NUM_CONV: 0
NUM_FC: 2
POOLER_RESOLUTION: 7
POOLER_SAMPLING_RATIO: 0
POOLER_TYPE: ROIAlignV2
SMOOTH_L1_BETA: 0.0
TRAIN_ON_PRED_BOXES: false
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 512
IN_FEATURES:
- p2
- p3
- p4
- p5
IOU_LABELS:
- 0
- 1
IOU_THRESHOLDS:
- 0.5
NAME: CascadeROIHeads
NMS_THRESH_TEST: 0.5
NUM_CLASSES: 10
POSITIVE_FRACTION: 0.25
PROPOSAL_APPEND_GT: true
SCORE_THRESH_TEST: 0.05
ROI_KEYPOINT_HEAD:
CONV_DIMS:
- 512
- 512
- 512
- 512
- 512
- 512
- 512
- 512
LOSS_WEIGHT: 1.0
MIN_KEYPOINTS_PER_IMAGE: 1
NAME: KRCNNConvDeconvUpsampleHead
NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
NUM_KEYPOINTS: 17
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_TYPE: ROIAlignV2
ROI_MASK_HEAD:
CLS_AGNOSTIC_MASK: false
CONV_DIM: 256
NAME: MaskRCNNConvUpsampleHead
NORM: ''
NUM_CONV: 4
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_TYPE: ROIAlignV2
RPN:
BATCH_SIZE_PER_IMAGE: 256
BBOX_REG_LOSS_TYPE: smooth_l1
BBOX_REG_LOSS_WEIGHT: 1.0
BBOX_REG_WEIGHTS:
- 1.0
- 1.0
- 1.0
- 1.0
BOUNDARY_THRESH: -1
CONV_DIMS:
- -1
HEAD_NAME: StandardRPNHead
IN_FEATURES:
- p2
- p3
- p4
- p5
- p6
IOU_LABELS:
- 0
- -1
- 1
IOU_THRESHOLDS:
- 0.3
- 0.7
LOSS_WEIGHT: 1.0
NMS_THRESH: 0.7
POSITIVE_FRACTION: 0.5
POST_NMS_TOPK_TEST: 1000
POST_NMS_TOPK_TRAIN: 2000
PRE_NMS_TOPK_TEST: 1000
PRE_NMS_TOPK_TRAIN: 2000
SMOOTH_L1_BETA: 0.0
SEM_SEG_HEAD:
COMMON_STRIDE: 4
CONVS_DIM: 128
IGNORE_VALUE: 255
IN_FEATURES:
- p2
- p3
- p4
- p5
LOSS_WEIGHT: 1.0
NAME: SemSegFPNHead
NORM: GN
NUM_CLASSES: 10
VIT:
DROP_PATH: 0.1
IMG_SIZE:
- 224
- 224
NAME: layoutlmv3_base
OUT_FEATURES:
- layer3
- layer5
- layer7
- layer11
POS_TYPE: abs
WEIGHTS:
OUTPUT_DIR:
SCIHUB_DATA_DIR_TRAIN: ~/publaynet/layout_scihub/train
SEED: 42
SOLVER:
AMP:
ENABLED: true
BACKBONE_MULTIPLIER: 1.0
BASE_LR: 0.0002
BIAS_LR_FACTOR: 1.0
CHECKPOINT_PERIOD: 2000
CLIP_GRADIENTS:
CLIP_TYPE: full_model
CLIP_VALUE: 1.0
ENABLED: true
NORM_TYPE: 2.0
GAMMA: 0.1
GRADIENT_ACCUMULATION_STEPS: 1
IMS_PER_BATCH: 32
LR_SCHEDULER_NAME: WarmupCosineLR
MAX_ITER: 20000
MOMENTUM: 0.9
NESTEROV: false
OPTIMIZER: ADAMW
REFERENCE_WORLD_SIZE: 0
STEPS:
- 10000
WARMUP_FACTOR: 0.01
WARMUP_ITERS: 333
WARMUP_METHOD: linear
WEIGHT_DECAY: 0.05
WEIGHT_DECAY_BIAS: null
WEIGHT_DECAY_NORM: 0.0
TEST:
AUG:
ENABLED: false
FLIP: true
MAX_SIZE: 4000
MIN_SIZES:
- 400
- 500
- 600
- 700
- 800
- 900
- 1000
- 1100
- 1200
DETECTIONS_PER_IMAGE: 100
EVAL_PERIOD: 1000
EXPECTED_RESULTS: []
KEYPOINT_OKS_SIGMAS: []
PRECISE_BN:
ENABLED: false
NUM_ITER: 200
VERSION: 2
VIS_PERIOD: 0
[09/26 09:45:37 d2.checkpoint.detection_checkpoint]: [DetectionCheckpointer] Loading from /src/models/Layout/model_final.pth ...
[09/26 09:45:37 fvcore.common.checkpoint]: [Checkpointer] Loading from /src/models/Layout/model_final.pth ...
download https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_infer.tar to /root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer/ch_PP-OCRv4_det_infer.tar
0%| | 0.00/4.89M [00:00<?, ?iB/s]
0%| | 3.07k/4.89M [00:00<05:36, 14.5kiB/s]
1%| | 35.8k/4.89M [00:00<00:58, 83.1kiB/s]
1%| | 52.2k/4.89M [00:00<00:47, 102kiB/s]
1%|▏ | 68.6k/4.89M [00:00<00:45, 107kiB/s]
2%|▏ | 85.0k/4.89M [00:00<00:52, 90.8kiB/s]
2%|▏ | 118k/4.89M [00:01<00:44, 108kiB/s]
3%|▎ | 134k/4.89M [00:01<00:55, 85.2kiB/s]
3%|▎ | 151k/4.89M [00:01<00:58, 81.1kiB/s]
3%|▎ | 167k/4.89M [00:01<01:01, 76.9kiB/s]
4%|▎ | 183k/4.89M [00:02<01:03, 74.1kiB/s]
4%|▍ | 200k/4.89M [00:02<01:03, 73.4kiB/s]
4%|▍ | 216k/4.89M [00:02<01:05, 71.7kiB/s]
5%|▍ | 232k/4.89M [00:02<01:02, 74.2kiB/s]
5%|▌ | 249k/4.89M [00:03<01:04, 72.2kiB/s]
5%|▌ | 265k/4.89M [00:03<01:01, 75.5kiB/s]
6%|▌ | 282k/4.89M [00:03<01:03, 73.0kiB/s]
6%|▌ | 298k/4.89M [00:03<01:03, 72.7kiB/s]
6%|▋ | 314k/4.89M [00:04<01:04, 71.2kiB/s]
7%|▋ | 331k/4.89M [00:04<01:09, 65.6kiB/s]
7%|▋ | 347k/4.89M [00:04<01:17, 59.0kiB/s]
7%|▋ | 364k/4.89M [00:04<01:17, 58.7kiB/s]
8%|▊ | 380k/4.89M [00:05<01:19, 56.9kiB/s]
8%|▊ | 396k/4.89M [00:05<01:21, 55.2kiB/s]
8%|▊ | 413k/4.89M [00:05<01:19, 56.3kiB/s]
9%|▉ | 429k/4.89M [00:06<01:23, 53.6kiB/s]
9%|▉ | 445k/4.89M [00:06<01:22, 54.1kiB/s]
9%|▉ | 462k/4.89M [00:06<01:22, 54.0kiB/s]
10%|▉ | 478k/4.89M [00:07<01:21, 53.9kiB/s]
10%|█ | 495k/4.89M [00:07<01:23, 53.0kiB/s]
10%|█ | 511k/4.89M [00:07<01:22, 52.9kiB/s]
11%|█ | 527k/4.89M [00:08<01:24, 51.4kiB/s]
11%|█ | 544k/4.89M [00:08<01:24, 51.3kiB/s]
11%|█▏ | 560k/4.89M [00:08<01:23, 51.7kiB/s]
12%|█▏ | 577k/4.89M [00:09<01:25, 50.7kiB/s]
12%|█▏ | 593k/4.89M [00:09<01:24, 51.2kiB/s]
12%|█▏ | 609k/4.89M [00:10<01:48, 39.6kiB/s]
13%|█▎ | 626k/4.89M [00:10<01:33, 45.5kiB/s]
13%|█▎ | 642k/4.89M [00:10<01:25, 49.9kiB/s]
13%|█▎ | 658k/4.89M [00:10<01:14, 56.9kiB/s]
14%|█▍ | 675k/4.89M [00:10<01:07, 62.5kiB/s]
14%|█▍ | 691k/4.89M [00:11<01:00, 69.4kiB/s]
14%|█▍ | 708k/4.89M [00:11<00:53, 77.6kiB/s]
15%|█▍ | 724k/4.89M [00:11<00:49, 84.7kiB/s]
15%|█▌ | 740k/4.89M [00:11<00:44, 94.1kiB/s]
15%|█▌ | 757k/4.89M [00:11<00:40, 101kiB/s]
16%|█▌ | 773k/4.89M [00:11<00:37, 111kiB/s]
16%|█▌ | 790k/4.89M [00:11<00:34, 119kiB/s]
17%|█▋ | 822k/4.89M [00:12<00:30, 135kiB/s]
17%|█▋ | 855k/4.89M [00:12<00:26, 151kiB/s]
18%|█▊ | 888k/4.89M [00:12<00:24, 167kiB/s]
19%|█▉ | 921k/4.89M [00:12<00:22, 179kiB/s]
19%|█▉ | 953k/4.89M [00:12<00:20, 195kiB/s]
20%|██ | 986k/4.89M [00:12<00:18, 208kiB/s]
21%|██ | 1.02M/4.89M [00:12<00:17, 226kiB/s]
21%|██▏ | 1.05M/4.89M [00:13<00:15, 246kiB/s]
22%|██▏ | 1.08M/4.89M [00:13<00:14, 263kiB/s]
23%|██▎ | 1.12M/4.89M [00:13<00:13, 277kiB/s]
24%|██▍ | 1.17M/4.89M [00:13<00:12, 305kiB/s]
25%|██▍ | 1.22M/4.89M [00:13<00:11, 330kiB/s]
26%|██▌ | 1.26M/4.89M [00:13<00:10, 353kiB/s]
27%|██▋ | 1.31M/4.89M [00:13<00:09, 373kiB/s]
28%|██▊ | 1.36M/4.89M [00:13<00:08, 400kiB/s]
29%|██▉ | 1.41M/4.89M [00:13<00:08, 425kiB/s]
30%|███ | 1.48M/4.89M [00:14<00:07, 462kiB/s]
32%|███▏ | 1.54M/4.89M [00:14<00:06, 491kiB/s]
33%|███▎ | 1.61M/4.89M [00:14<00:06, 522kiB/s]
35%|███▍ | 1.69M/4.89M [00:14<00:05, 568kiB/s]
36%|███▌ | 1.77M/4.89M [00:14<00:05, 605kiB/s]
38%|███▊ | 1.85M/4.89M [00:14<00:04, 641kiB/s]
40%|███▉ | 1.94M/4.89M [00:14<00:04, 682kiB/s]
42%|████▏ | 2.03M/4.89M [00:14<00:03, 733kiB/s]
44%|████▎ | 2.13M/4.89M [00:14<00:03, 784kiB/s]
46%|████▌ | 2.23M/4.89M [00:15<00:03, 831kiB/s]
48%|████▊ | 2.35M/4.89M [00:15<00:02, 895kiB/s]
50%|█████ | 2.46M/4.89M [00:15<00:02, 948kiB/s]
53%|█████▎ | 2.59M/4.89M [00:15<00:02, 1.01MiB/s]
56%|█████▌ | 2.72M/4.89M [00:15<00:02, 1.08MiB/s]
58%|█████▊ | 2.85M/4.89M [00:15<00:01, 1.14MiB/s]
61%|██████▏ | 3.00M/4.89M [00:15<00:01, 1.22MiB/s]
65%|██████▍ | 3.17M/4.89M [00:15<00:01, 1.31MiB/s]
68%|██████▊ | 3.33M/4.89M [00:15<00:01, 1.39MiB/s]
72%|███████▏ | 3.51M/4.89M [00:16<00:00, 1.47MiB/s]
75%|███████▌ | 3.69M/4.89M [00:16<00:00, 1.57MiB/s]
79%|███████▉ | 3.89M/4.89M [00:16<00:00, 1.67MiB/s]
84%|████████▎ | 4.10M/4.89M [00:16<00:00, 1.77MiB/s]
88%|████████▊ | 4.33M/4.89M [00:16<00:00, 1.89MiB/s]
93%|█████████▎| 4.56M/4.89M [00:16<00:00, 2.00MiB/s]
98%|█████████▊| 4.80M/4.89M [00:16<00:00, 2.13MiB/s]
100%|██████████| 4.89M/4.89M [00:16<00:00, 293kiB/s]
download https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_infer.tar to /root/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer/ch_PP-OCRv4_rec_infer.tar
0%| | 0.00/11.0M [00:00<?, ?iB/s]
0%| | 16.4k/11.0M [00:00<02:07, 85.7kiB/s]
1%| | 65.5k/11.0M [00:00<01:20, 135kiB/s]
1%| | 98.3k/11.0M [00:00<01:21, 133kiB/s]
1%| | 131k/11.0M [00:00<01:15, 143kiB/s]
2%|▏ | 180k/11.0M [00:01<01:12, 149kiB/s]
2%|▏ | 213k/11.0M [00:01<01:20, 134kiB/s]
2%|▏ | 229k/11.0M [00:01<01:19, 135kiB/s]
2%|▏ | 246k/11.0M [00:01<01:24, 127kiB/s]
2%|▏ | 262k/11.0M [00:02<01:33, 115kiB/s]
3%|▎ | 279k/11.0M [00:02<01:28, 121kiB/s]
3%|▎ | 295k/11.0M [00:02<01:34, 114kiB/s]
3%|▎ | 311k/11.0M [00:02<01:28, 120kiB/s]
3%|▎ | 328k/11.0M [00:02<01:38, 109kiB/s]
3%|▎ | 344k/11.0M [00:02<01:43, 103kiB/s]
3%|▎ | 377k/11.0M [00:03<01:40, 105kiB/s]
4%|▎ | 393k/11.0M [00:03<01:32, 114kiB/s]
4%|▎ | 410k/11.0M [00:03<01:39, 106kiB/s]
4%|▍ | 426k/11.0M [00:03<01:38, 108kiB/s]
4%|▍ | 442k/11.0M [00:03<01:40, 105kiB/s]
4%|▍ | 462k/11.0M [00:03<01:41, 104kiB/s]
4%|▍ | 478k/11.0M [00:04<01:33, 113kiB/s]
5%|▍ | 495k/11.0M [00:04<01:44, 101kiB/s]
5%|▍ | 511k/11.0M [00:04<01:54, 91.7kiB/s]
5%|▍ | 527k/11.0M [00:04<01:50, 94.4kiB/s]
5%|▍ | 544k/11.0M [00:04<02:06, 82.4kiB/s]
5%|▌ | 560k/11.0M [00:05<02:09, 80.3kiB/s]
5%|▌ | 577k/11.0M [00:05<02:15, 76.7kiB/s]
5%|▌ | 593k/11.0M [00:05<02:19, 74.2kiB/s]
6%|▌ | 609k/11.0M [00:05<02:22, 72.5kiB/s]
6%|▌ | 626k/11.0M [00:05<02:10, 79.5kiB/s]
6%|▌ | 642k/11.0M [00:06<02:16, 75.8kiB/s]
6%|▌ | 658k/11.0M [00:06<02:18, 74.4kiB/s]
6%|▌ | 675k/11.0M [00:06<02:22, 72.2kiB/s]
6%|▋ | 691k/11.0M [00:06<02:19, 73.7kiB/s]
6%|▋ | 708k/11.0M [00:07<02:14, 76.6kiB/s]
7%|▋ | 724k/11.0M [00:07<02:19, 73.6kiB/s]
7%|▋ | 740k/11.0M [00:07<02:27, 69.3kiB/s]
7%|▋ | 757k/11.0M [00:07<02:40, 63.5kiB/s]
7%|▋ | 773k/11.0M [00:08<02:40, 63.7kiB/s]
7%|▋ | 790k/11.0M [00:08<02:42, 62.7kiB/s]
7%|▋ | 806k/11.0M [00:08<02:41, 63.1kiB/s]
7%|▋ | 822k/11.0M [00:08<02:43, 62.0kiB/s]
8%|▊ | 839k/11.0M [00:09<02:43, 62.2kiB/s]
8%|▊ | 855k/11.0M [00:09<03:17, 51.3kiB/s]
8%|▊ | 871k/11.0M [00:10<03:31, 47.9kiB/s]
8%|▊ | 888k/11.0M [00:10<03:03, 55.1kiB/s]
8%|▊ | 904k/11.0M [00:10<02:42, 62.0kiB/s]
8%|▊ | 921k/11.0M [00:10<02:22, 70.8kiB/s]
9%|▊ | 937k/11.0M [00:10<02:09, 77.6kiB/s]
9%|▊ | 953k/11.0M [00:10<01:55, 87.2kiB/s]
9%|▉ | 970k/11.0M [00:11<01:45, 94.4kiB/s]
9%|▉ | 986k/11.0M [00:11<01:35, 104kiB/s]
9%|▉ | 1.00M/11.0M [00:11<01:29, 112kiB/s]
9%|▉ | 1.02M/11.0M [00:11<01:22, 121kiB/s]
9%|▉ | 1.04M/11.0M [00:11<01:17, 129kiB/s]
10%|▉ | 1.07M/11.0M [00:11<01:08, 144kiB/s]
10%|█ | 1.10M/11.0M [00:11<01:01, 162kiB/s]
10%|█ | 1.13M/11.0M [00:12<00:57, 172kiB/s]
11%|█ | 1.17M/11.0M [00:12<00:52, 187kiB/s]
11%|█ | 1.20M/11.0M [00:12<00:49, 199kiB/s]
11%|█ | 1.23M/11.0M [00:12<00:44, 220kiB/s]
12%|█▏ | 1.26M/11.0M [00:12<00:42, 229kiB/s]
12%|█▏ | 1.30M/11.0M [00:12<00:39, 246kiB/s]
12%|█▏ | 1.33M/11.0M [00:12<00:37, 260kiB/s]
13%|█▎ | 1.38M/11.0M [00:12<00:30, 312kiB/s]
13%|█▎ | 1.41M/11.0M [00:12<00:32, 298kiB/s]
13%|█▎ | 1.46M/11.0M [00:13<00:29, 318kiB/s]
14%|█▍ | 1.51M/11.0M [00:13<00:27, 345kiB/s]
14%|█▍ | 1.56M/11.0M [00:13<00:25, 367kiB/s]
15%|█▍ | 1.61M/11.0M [00:13<00:23, 394kiB/s]
15%|█▌ | 1.66M/11.0M [00:13<00:22, 414kiB/s]
16%|█▌ | 1.72M/11.0M [00:13<00:20, 450kiB/s]
16%|█▋ | 1.79M/11.0M [00:13<00:19, 478kiB/s]
17%|█▋ | 1.85M/11.0M [00:13<00:17, 513kiB/s]
17%|█▋ | 1.92M/11.0M [00:14<00:16, 536kiB/s]
18%|█▊ | 2.00M/11.0M [00:14<00:15, 579kiB/s]
19%|█▉ | 2.08M/11.0M [00:14<00:14, 613kiB/s]
20%|█▉ | 2.16M/11.0M [00:14<00:13, 652kiB/s]
20%|██ | 2.25M/11.0M [00:14<00:12, 690kiB/s]
21%|██▏ | 2.34M/11.0M [00:14<00:11, 742kiB/s]
22%|██▏ | 2.44M/11.0M [00:14<00:10, 786kiB/s]
23%|██▎ | 2.54M/11.0M [00:14<00:10, 830kiB/s]
24%|██▍ | 2.66M/11.0M [00:14<00:09, 885kiB/s]
25%|██▌ | 2.77M/11.0M [00:15<00:08, 943kiB/s]
26%|██▋ | 2.89M/11.0M [00:15<00:08, 989kiB/s]
27%|██▋ | 3.02M/11.0M [00:15<00:07, 1.05MiB/s]
29%|██▊ | 3.15M/11.0M [00:15<00:07, 1.11MiB/s]
30%|███ | 3.30M/11.0M [00:15<00:06, 1.18MiB/s]
31%|███▏ | 3.44M/11.0M [00:15<00:06, 1.25MiB/s]
33%|███▎ | 3.61M/11.0M [00:15<00:05, 1.32MiB/s]
34%|███▍ | 3.77M/11.0M [00:15<00:05, 1.40MiB/s]
36%|███▌ | 3.95M/11.0M [00:15<00:04, 1.49MiB/s]
38%|███▊ | 4.13M/11.0M [00:16<00:04, 1.56MiB/s]
39%|███▉ | 4.33M/11.0M [00:16<00:03, 1.66MiB/s]
41%|████ | 4.52M/11.0M [00:16<00:03, 1.74MiB/s]
43%|████▎ | 4.74M/11.0M [00:16<00:03, 1.85MiB/s]
45%|████▌ | 4.97M/11.0M [00:16<00:03, 1.96MiB/s]
47%|████▋ | 5.21M/11.0M [00:16<00:02, 2.08MiB/s]
50%|████▉ | 5.47M/11.0M [00:16<00:02, 2.24MiB/s]
52%|█████▏ | 5.72M/11.0M [00:16<00:02, 2.29MiB/s]
55%|█████▍ | 6.00M/11.0M [00:16<00:02, 2.43MiB/s]
57%|█████▋ | 6.29M/11.0M [00:16<00:01, 2.57MiB/s]
60%|██████ | 6.60M/11.0M [00:17<00:01, 2.71MiB/s]
63%|██████▎ | 6.93M/11.0M [00:17<00:01, 2.86MiB/s]
66%|██████▋ | 7.28M/11.0M [00:17<00:01, 3.03MiB/s]
70%|██████▉ | 7.64M/11.0M [00:17<00:01, 3.19MiB/s]
73%|███████▎ | 8.02M/11.0M [00:17<00:00, 3.38MiB/s]
77%|███████▋ | 8.41M/11.0M [00:17<00:00, 3.52MiB/s]
80%|████████ | 8.83M/11.0M [00:17<00:00, 3.72MiB/s]
84%|████████▍ | 9.28M/11.0M [00:17<00:00, 3.91MiB/s]
89%|████████▉ | 9.75M/11.0M [00:17<00:00, 4.13MiB/s]
93%|█████████▎| 10.2M/11.0M [00:17<00:00, 4.31MiB/s]
98%|█████████▊| 10.7M/11.0M [00:18<00:00, 4.56MiB/s]
100%|██████████| 11.0M/11.0M [00:18<00:00, 607kiB/s]
download https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar to /root/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer/ch_ppocr_mobile_v2.0_cls_infer.tar
0%| | 0.00/2.19M [00:00<?, ?iB/s]
0%| | 3.07k/2.19M [00:00<02:56, 12.4kiB/s]
2%|▏ | 35.8k/2.19M [00:00<00:30, 71.0kiB/s]
2%|▏ | 52.2k/2.19M [00:00<00:26, 80.5kiB/s]
3%|▎ | 68.6k/2.19M [00:00<00:23, 89.5kiB/s]
4%|▍ | 85.0k/2.19M [00:01<00:28, 74.9kiB/s]
5%|▌ | 118k/2.19M [00:01<00:23, 88.3kiB/s]
6%|▌ | 134k/2.19M [00:01<00:28, 71.1kiB/s]
7%|▋ | 151k/2.19M [00:02<00:30, 66.1kiB/s]
8%|▊ | 167k/2.19M [00:02<00:32, 62.2kiB/s]
8%|▊ | 183k/2.19M [00:02<00:33, 60.2kiB/s]
9%|▉ | 200k/2.19M [00:03<00:33, 59.2kiB/s]
10%|▉ | 216k/2.19M [00:03<00:34, 56.7kiB/s]
11%|█ | 232k/2.19M [00:03<00:33, 58.8kiB/s]
11%|█▏ | 249k/2.19M [00:03<00:33, 57.4kiB/s]
12%|█▏ | 265k/2.19M [00:04<00:31, 61.1kiB/s]
13%|█▎ | 282k/2.19M [00:04<00:32, 58.5kiB/s]
14%|█▎ | 298k/2.19M [00:04<00:32, 58.4kiB/s]
14%|█▍ | 314k/2.19M [00:04<00:32, 57.8kiB/s]
15%|█▌ | 331k/2.19M [00:05<00:35, 51.8kiB/s]
16%|█▌ | 347k/2.19M [00:05<00:40, 45.3kiB/s]
17%|█▋ | 364k/2.19M [00:06<00:40, 45.0kiB/s]
17%|█▋ | 380k/2.19M [00:06<00:40, 44.4kiB/s]
18%|█▊ | 396k/2.19M [00:06<00:41, 43.5kiB/s]
19%|█▉ | 413k/2.19M [00:07<00:40, 43.4kiB/s]
20%|█▉ | 429k/2.19M [00:07<00:41, 42.8kiB/s]
20%|██ | 445k/2.19M [00:08<00:39, 43.9kiB/s]
21%|██ | 462k/2.19M [00:08<00:39, 43.6kiB/s]
22%|██▏ | 478k/2.19M [00:08<00:38, 44.5kiB/s]
23%|██▎ | 495k/2.19M [00:09<00:38, 43.5kiB/s]
23%|██▎ | 511k/2.19M [00:10<00:50, 33.0kiB/s]
24%|██▍ | 527k/2.19M [00:10<00:46, 36.1kiB/s]
25%|██▍ | 544k/2.19M [00:10<00:40, 40.5kiB/s]
26%|██▌ | 560k/2.19M [00:10<00:35, 45.8kiB/s]
26%|██▋ | 577k/2.19M [00:11<00:31, 50.9kiB/s]
27%|██▋ | 593k/2.19M [00:11<00:28, 56.8kiB/s]
28%|██▊ | 609k/2.19M [00:11<00:25, 62.0kiB/s]
29%|██▊ | 626k/2.19M [00:11<00:22, 68.4kiB/s]
29%|██▉ | 642k/2.19M [00:11<00:21, 73.4kiB/s]
30%|███ | 658k/2.19M [00:12<00:19, 80.4kiB/s]
31%|███ | 675k/2.19M [00:12<00:17, 85.4kiB/s]
32%|███▏ | 691k/2.19M [00:12<00:16, 90.5kiB/s]
32%|███▏ | 708k/2.19M [00:12<00:15, 97.8kiB/s]
33%|███▎ | 724k/2.19M [00:12<00:14, 103kiB/s]
34%|███▍ | 740k/2.19M [00:12<00:12, 112kiB/s]
35%|███▍ | 757k/2.19M [00:12<00:12, 117kiB/s]
35%|███▌ | 773k/2.19M [00:13<00:11, 126kiB/s]
36%|███▌ | 790k/2.19M [00:13<00:10, 135kiB/s]
38%|███▊ | 822k/2.19M [00:13<00:09, 145kiB/s]
39%|███▉ | 855k/2.19M [00:13<00:08, 158kiB/s]
41%|████ | 888k/2.19M [00:13<00:07, 169kiB/s]
42%|████▏ | 921k/2.19M [00:13<00:07, 177kiB/s]
44%|████▎ | 953k/2.19M [00:14<00:06, 190kiB/s]
45%|████▌ | 986k/2.19M [00:14<00:06, 200kiB/s]
47%|████▋ | 1.02M/2.19M [00:14<00:06, 182kiB/s]
48%|████▊ | 1.05M/2.19M [00:14<00:05, 190kiB/s]
50%|████▉ | 1.08M/2.19M [00:14<00:05, 198kiB/s]
51%|█████ | 1.12M/2.19M [00:14<00:05, 201kiB/s]
53%|█████▎ | 1.15M/2.19M [00:14<00:05, 205kiB/s]
54%|█████▍ | 1.18M/2.19M [00:15<00:04, 211kiB/s]
56%|█████▌ | 1.22M/2.19M [00:15<00:04, 213kiB/s]
57%|█████▋ | 1.25M/2.19M [00:15<00:04, 211kiB/s]
59%|█████▊ | 1.28M/2.19M [00:15<00:04, 213kiB/s]
60%|██████ | 1.31M/2.19M [00:15<00:04, 211kiB/s]
62%|██████▏ | 1.35M/2.19M [00:15<00:03, 216kiB/s]
63%|██████▎ | 1.38M/2.19M [00:16<00:03, 220kiB/s]
65%|██████▍ | 1.41M/2.19M [00:16<00:03, 231kiB/s]
66%|██████▌ | 1.44M/2.19M [00:16<00:03, 243kiB/s]
68%|██████▊ | 1.48M/2.19M [00:16<00:02, 256kiB/s]
69%|██████▉ | 1.51M/2.19M [00:16<00:02, 269kiB/s]
71%|███████ | 1.54M/2.19M [00:16<00:02, 279kiB/s]
72%|███████▏ | 1.58M/2.19M [00:16<00:02, 282kiB/s]
73%|███████▎ | 1.61M/2.19M [00:16<00:02, 251kiB/s]
75%|███████▍ | 1.64M/2.19M [00:16<00:02, 263kiB/s]
76%|███████▋ | 1.67M/2.19M [00:17<00:01, 276kiB/s]
78%|███████▊ | 1.71M/2.19M [00:17<00:01, 280kiB/s]
79%|███████▉ | 1.74M/2.19M [00:17<00:01, 286kiB/s]
81%|████████ | 1.77M/2.19M [00:17<00:01, 294kiB/s]
82%|████████▏ | 1.81M/2.19M [00:17<00:01, 296kiB/s]
84%|████████▍ | 1.84M/2.19M [00:17<00:01, 294kiB/s]
85%|████████▌ | 1.87M/2.19M [00:17<00:01, 297kiB/s]
87%|████████▋ | 1.90M/2.19M [00:17<00:00, 295kiB/s]
88%|████████▊ | 1.94M/2.19M [00:17<00:00, 297kiB/s]
90%|████████▉ | 1.97M/2.19M [00:18<00:00, 303kiB/s]
91%|█████████▏| 2.00M/2.19M [00:18<00:00, 303kiB/s]
93%|█████████▎| 2.03M/2.19M [00:18<00:00, 299kiB/s]
94%|█████████▍| 2.07M/2.19M [00:18<00:00, 300kiB/s]
97%|█████████▋| 2.12M/2.19M [00:18<00:00, 319kiB/s]
99%|█████████▉| 2.17M/2.19M [00:18<00:00, 340kiB/s]
100%|██████████| 2.19M/2.19M [00:18<00:00, 117kiB/s]
2024-09-26 09:46:35.967 | INFO | magic_pdf.model.pdf_extract_kit:__init__:248 - DocAnalysis init done!
2024-09-26 09:46:35.968 | INFO | magic_pdf.model.doc_analyze_by_custom_model:custom_model_init:98 - model init cost: 87.97307825088501
2024-09-26 09:46:39.620 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.91
0: 1888x1504 14 embeddings, 237.6ms
Speed: 21.7ms preprocess, 237.6ms inference, 1.8ms postprocess per image at shape (1, 3, 1888, 1504)
2024-09-26 09:46:41.567 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 14, mfr time: 0.72
2024-09-26 09:47:03.059 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 21.48
2024-09-26 09:47:04.696 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.64
0: 1888x1344 12 embeddings, 217.7ms
Speed: 18.7ms preprocess, 217.7ms inference, 1.7ms postprocess per image at shape (1, 3, 1888, 1344)
2024-09-26 09:47:05.967 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 12, mfr time: 0.85
2024-09-26 09:47:28.866 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 22.88
2024-09-26 09:47:30.793 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.93
0: 1888x1376 1 embedding, 223.2ms
Speed: 24.1ms preprocess, 223.2ms inference, 1.8ms postprocess per image at shape (1, 3, 1888, 1376)
2024-09-26 09:47:31.647 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 1, mfr time: 0.58
2024-09-26 09:48:00.164 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 28.5
2024-09-26 09:48:01.953 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.79
0: 1888x1344 3 embeddings, 215.8ms
Speed: 20.7ms preprocess, 215.8ms inference, 1.4ms postprocess per image at shape (1, 3, 1888, 1344)
2024-09-26 09:48:02.637 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 3, mfr time: 0.39
2024-09-26 09:48:28.050 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 25.4
2024-09-26 09:48:30.080 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 2.03
0: 1888x1280 1 embedding, 204.6ms
Speed: 19.8ms preprocess, 204.6ms inference, 2.0ms postprocess per image at shape (1, 3, 1888, 1280)
2024-09-26 09:48:30.646 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 1, mfr time: 0.32
2024-09-26 09:49:09.381 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 38.72
2024-09-26 09:49:11.338 | INFO | magic_pdf.model.pdf_extract_kit:__call__:259 - layout detection cost: 1.96
0: 1888x1408 2 embeddings, 235.1ms
Speed: 23.4ms preprocess, 235.1ms inference, 1.5ms postprocess per image at shape (1, 3, 1888, 1408)
2024-09-26 09:49:12.379 | INFO | magic_pdf.model.pdf_extract_kit:__call__:289 - formula nums: 2, mfr time: 0.74
2024-09-26 09:49:46.451 | INFO | magic_pdf.model.pdf_extract_kit:__call__:372 - ocr cost: 34.06
2024-09-26 09:49:46.452 | INFO | magic_pdf.model.doc_analyze_by_custom_model:doc_analyze:136 - doc analyze cost: 188.74599361419678
2024-09-26 09:49:47.552 | INFO | magic_pdf.pipe.UNIPipe:pipe_mk_uni_format:48 - uni_pipe mk content list finished
2024-09-26 09:49:47.567 | INFO | magic_pdf.pipe.UNIPipe:pipe_mk_markdown:53 - uni_pipe mk mm_markdown finished
endThis output was created using a different version of the model, aodianyun/ad-pdf-extract:8760c9da.
Run time and cost
This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.