| # OpenCV Zoo | |
| A zoo for models tuned for OpenCV DNN with benchmarks on different platforms. | |
| Guidelines: | |
| - To clone this repo, please install [git-lfs](https://git-lfs.github.com/), run `git lfs install` and use `git lfs clone https://github.com/opencv/opencv_zoo`. | |
| - To run benchmark on your hardware settings, please refer to [benchmark/README](./benchmark/README.md). | |
| ## Models & Benchmarks | |
| Hardware Setup: | |
| - `CPU x86_64`: INTEL CPU i7-5930K @ 3.50GHz, 6 cores, 12 threads. | |
| - `CPU ARM`: Raspberry 4B, BCM2711B0 @ 1.5GHz (Cortex A-72), 4 cores, 4 threads. | |
| <!-- | |
| - `GPU CUDA`: NVIDIA Jetson Nano B01, 128-core Maxwell, Quad-core ARM A57 @ 1.43 GHz. | |
| --> | |
| ***Important Notes***: | |
| - The time data that shown on the following tables presents the time elapsed from preprocess (resize is excluded), to a forward pass of a network, and postprocess to get final results. | |
| - The time data that shown on the following tables is the median of benchmark runs. | |
| - View [benchmark/config](./benchmark/config) for more details on benchmarking different models. | |
| <!-- | |
| | Model | Input Size | CPU x86_64 (ms) | CPU ARM (ms) | GPU CUDA (ms) | | |
| |-------|------------|-----------------|--------------|---------------| | |
| | [YuNet](./models/face_detection_yunet) | 160x120 | 2.17 | 8.87 | 14.95 | | |
| | [DB](./models/text_detection_db) | 640x480 | 148.65 | 2759.88 | 218.25 | | |
| | [CRNN](./models/text_recognition_crnn) | 100x32 | 23.23 | 235.87 | 195.20 | | |
| --> | |
| | Model | Input Size | CPU x86_64 (ms) | CPU ARM (ms) | | |
| |-------|------------|-----------------|--------------| | |
| | [YuNet](./models/face_detection_yunet) | 160x120 | 2.35 | 8.72 | | |
| | [DB](./models/text_detection_db) | 640x480 | 137.38 | 2780.78 | | |
| | [CRNN](./models/text_recognition_crnn) | 100x32 | 50.21 | 234.32 | | |
| | [SFace](./models/face_recognition_sface) | 112x112 | 8.69 | 96.79 | | |
| ## License | |
| OpenCV Zoo is licensed under the [Apache 2.0 license](./LICENSE). Please refer to licenses of different models. | |