A zoo for models tuned for OpenCV DNN with benchmarks on different platforms.
Guidelines:
- To clone this repo, please install git-lfs, run
git lfs installand usegit lfs clone https://github.com/opencv/opencv_zoo. - To run benchmark on your hardware settings, please refer to benchmark/README.
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.
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 averaged from a 100-time run.
- View benchmark/config for more details on benchmarking different models.
| Model | Input Size | CPU x86_64 (ms) | CPU ARM (ms) |
|---|---|---|---|
| YuNet | 160x120 | 2.17 | 8.87 |
| DB | 640x480 | 148.65 | 2759.88 |
| CRNN | 100x32 | 23.23 | 235.87 |
OpenCV Zoo is licensed under the Apache 2.0 license. Please refer to licenses of different models.