Prediction

Model

aodianyun/ad-pdf-extract:8760c9da

fzwr56bb5hrge0cj5pta96g7m4

Status

Succeeded

Source

Web

Hardware

Total duration

8m 56s

Created

about 1 year ago

Webhook

–

Input

pdf: http://fm.aodianyun.com/edudoc/sw1.pdf
method: auto

{
  "method": "auto",
  "pdf": "http://fm.aodianyun.com/edudoc/sw1.pdf"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_LUq**********************************

This is your API token. Keep it to yourself.

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:8760c9da25e67ab85d40c0efb56dbc75e2d0553de0f665cd7c8af7c58d6b48a9",
  {
    input: {
      method: "auto",
      pdf: "http://fm.aodianyun.com/edudoc/sw1.pdf"
    }
  }
);

// 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 replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_LUq**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run 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:8760c9da25e67ab85d40c0efb56dbc75e2d0553de0f665cd7c8af7c58d6b48a9",
    input={
        "method": "auto",
        "pdf": "http://fm.aodianyun.com/edudoc/sw1.pdf"
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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=r8_LUq**********************************

This is your API token. Keep it to yourself.

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:8760c9da25e67ab85d40c0efb56dbc75e2d0553de0f665cd7c8af7c58d6b48a9",
    "input": {
      "method": "auto",
      "pdf": "http://fm.aodianyun.com/edudoc/sw1.pdf"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Preview of text/markdown file unavailable

Download output

Preview of application/zip file unavailable

Download output

{
  "id": "fzwr56bb5hrge0cj5pta96g7m4",
  "model": "aodianyun/ad-pdf-extract",
  "version": "8760c9da25e67ab85d40c0efb56dbc75e2d0553de0f665cd7c8af7c58d6b48a9",
  "input": {
    "method": "auto",
    "pdf": "http://fm.aodianyun.com/edudoc/sw1.pdf"
  },
  "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 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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",
  "output": [
    "https://replicate.delivery/czjl/N7aItThxCGpuLZoRRJh472aijOVSko10L6qfaL3A2rpdAXwJA/edupdf.md",
    "https://replicate.delivery/czjl/qbgwHw8RbvrIG1OPfEKwjCJIH8NL2RsaGo0mNo649pkdAXwJA/edupdf.zip"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-09-26T09:40:51.628Z",
  "started_at": "2024-09-26T09:45:04.856524Z",
  "completed_at": "2024-09-26T09:49:47.885257Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/fzwr56bb5hrge0cj5pta96g7m4/cancel",
    "get": "https://api.replicate.com/v1/predictions/fzwr56bb5hrge0cj5pta96g7m4",
    "web": "https://replicate.com/p/fzwr56bb5hrge0cj5pta96g7m4"
  },
  "metrics": {
    "predict_time": 283.02873374,
    "total_time": 536.257257
  }
}

Generated in

4 minutes 43 seconds

Tweak it Report

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 ... 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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 end