README.md

    OpenCV Zoo and Benchmark

    A zoo for models tuned for OpenCV DNN with benchmarks on different platforms.

    Guidelines:

    • Clone this repo to download all models and demo scripts:
      # Install git-lfs from https://git-lfs.github.com/
      git clone https://github.com/opencv/opencv_zoo && cd opencv_zoo
      git lfs install
      git lfs pull
    • To run benchmarks on your hardware settings, please refer to benchmark/README.

    Models & Benchmark Results

    Model Input Size INTEL-CPU (ms) RPI-CPU (ms) JETSON-GPU (ms) KV3-NPU (ms) D1-CPU (ms)
    YuNet 160x120 1.45 6.22 12.18 4.04 86.69
    SFace 112x112 8.65 99.20 24.88 46.25 ---
    DB-IC15 640x480 142.91 2835.91 208.41 --- ---
    DB-TD500 640x480 142.91 2841.71 210.51 --- ---
    CRNN-EN 100x32 50.21 234.32 196.15 125.30 ---
    CRNN-CN 100x32 73.52 322.16 239.76 166.79 ---
    PP-ResNet 224x224 56.05 602.58 98.64 75.45 ---
    PP-HumanSeg 192x192 19.92 105.32 67.97 74.77 ---
    WeChatQRCode 100x100 7.04 37.68 --- --- ---
    DaSiamRPN 1280x720 36.15 705.48 76.82 --- ---
    YoutuReID 128x256 35.81 521.98 90.07 44.61 ---

    Hardware Setup:

    Important Notes:

    • The data under each column of hardware setups on the above table represents the elapsed time of an inference (preprocess, forward and postprocess).
    • The time data is the median of 10 runs after some warmup runs. Different metrics may be applied to some specific models.
    • Batch size is 1 for all benchmark results.
    • --- represents the model is not availble to run on the device.
    • View benchmark/config for more details on benchmarking different models.

    License

    OpenCV Zoo is licensed under the Apache 2.0 license. Please refer to licenses of different models.

    项目简介

    Model Zoo For OpenCV DNN and Benchmarks.

    🚀 Github 镜像仓库 🚀

    源项目地址

    https://github.com/opencv/opencv_zoo

    发行版本

    当前项目没有发行版本

    贡献者 1

    Y Yuantao Feng @Yuantao Feng

    开发语言

    • Python 100.0 %