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opencv_zoo / benchmark

Commit History

  1. [GSoC] Add block quantized models (#270)⁠

    DaniAffCH
    85a27e0

  1. bump opencv version to 4.10.0 (#260)⁠

    ytfeng
    167c85e

  1. add the first summary report (#227)⁠

    ytfeng
    f0b651e

  2. Bump version 4.9 (#222)⁠

    ytfeng +1: WanliZhong
    1047434

  3. add benchmark results on Atlas 200I DK A2 (#225)⁠

    ytfeng
    e9da4a7

  1. add benchmark results on Jetson Nano Orin (#224)

    ytfeng
    51d25f9

  2. add benchmark results on Khadas VIM4 (#223)

    ytfeng
    99e5ad0

  1. remove text detection DB (#221)

    Wanli
    43ea797

  2. add text detection model from ppocrv3 (#180)

    Wanli
    ac5c83c

  1. benchmark: add vittrack benchmark results (#214)⁠

    ytfeng
    3b8b9d5

  1. Remove DaSiamRPN since we have its superseder VitTrack now (#213)⁠

    ytfeng
    7c978be

  1. fix model quantization to support timvx backend (#209)⁠

    ytfeng
    80eebd6

  1. bump version to 4.8.0 (#190)⁠

    ytfeng
    00a9b48

  1. add benchmark results on vision five 2 with conflicts resolved (#173)

    ytfeng
    d6f4836

  1. change links of table from 'master' to 'main' (#169)

    Wanli
    866ff8d

  1. add pose estimation model (#152)

    Wanli
    ab8d410

  1. update generate table script (#164)

    Wanli
    0e997e3

  2. update and modify documentation (#161)

    Wanli
    af3dd88

  1. add additional hardware notes in the frontal readme (#163)

    ytfeng
    f8da712

  1. update benchmark table

    ytfeng
    cae84a4

  1. add npu specs

    ytfeng
    443b117

  2. update results on axp

    ytfeng
    0d2b1a0

  1. update mppersondet

    ytfeng
    17ce155

  1. add results on cpu of khadas edge2, horizon sunrise x3 pi and rv1126

    ytfeng
    b5afb04

  1. beautify benchmark table (#157)

    Wanli
    a9286c4

  1. add person detection model from MediaPipe (#147)

    Wanli
    3cce3b2

  1. Refactor benchmark (#148)⁠

    ytfeng
    d2b2b68

  1. Limit combinations of backends and targets in demos and benchmark (#145)⁠

    ytfeng
    a07f7bd

  1. Update benchmark and results for CANN backend (#137)⁠

    ytfeng
    584bcfa

  1. Update handpose estimation model from MediaPipe (2023feb) (#133)⁠

    Wanli
    50fc340

  1. Update palm detection model from MediaPipe (2023feb) (#128)⁠

    Wanli
    260eb6d

  1. Add model file collector, fix some bugs and add some features (#123)⁠

    ytfeng
    39d77a4

  1. Add a model for facial expression recognition (#100)

    Chengrui Wang
    596a24b

  1. add benchmark results for object detection (#106)

    ytfeng
    bbe6825

  1. update benchmark (#97)

    Wanli
    8b5437e

  1. Add hand pose estimation model from Mediapipe (#83)

    Wanli
    57699b7

  1. Let mp_palmdet support multiple palms detection (#85)

    Wanli
    f4c5d90

  1. add evaluation framework and imagenet evaluation (#69)

    ytfeng
    28adb60

  1. Add LPD_YuNet for License Plate Detection (#56)⁠

    ytfeng
    6eef315

  1. add palm detector from mediapipe (#51)

    ytfeng
    e5b568e

  1. update mobilenets (#48)

    ytfeng
    86cd32d

  1. add mobilenets and benchmarking results

    fytao
    d33294b

  1. Use YuNet of fixed input shape to avoid 'parseShape' error (#45)⁠

    ytfeng
    62917b7

  1. Add hardware: Khadas VIM3 & update benchmarks (#39)⁠

    Yuantao Feng
    de9c40f

  1. update ONNX opset version of PP-ResNet50 to 11 (#37)

    Yuantao Feng
    2074f99

  1. update sface: quantization ready (#35)

    Yuantao Feng
    aebf101

  2. Update ONNX opset version of YuNet to 11 for quantization (#34)⁠

    Yuantao Feng
    8ac861c

  1. Bug fixes and corrections (#33)⁠

    Yuantao Feng
    f134c2e

  1. Add YoutuReID for person ReID (#24)⁠

    Yuantao Feng
    0f20198

  1. Add CRNN_CN for recognizing Chinese (#23)⁠

    Yuantao Feng
    8b13820