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 table 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 table is the median of 10 runs. Different metrics may be applied to some specific models.
- View benchmark/config for more details on benchmarking different models.
| Model | Input Size | CPU x86_64 (ms) | CPU ARM (ms) |
|---|---|---|---|
| YuNet | 160x120 | 1.45 | 6.22 |
| DB | 640x480 | 137.38 | 2780.78 |
| CRNN | 100x32 | 50.21 | 234.32 |
| SFace | 112x112 | 8.65 | 99.20 |
| PP-ResNet | 224x224 | 56.05 | 602.58 |
| PP-HumanSeg | 192x192 | 19.92 | 105.32 |
OpenCV Zoo is licensed under the Apache 2.0 license. Please refer to licenses of different models.