| # OpenCV Zoo Benchmark | |
| Benchmarking different models in the zoo. | |
| Data for benchmarking will be downloaded and loaded in [data](./data) based on given config. | |
| Time is measured from data preprocess (resize is excluded), to a forward pass of a network, and postprocess to get final results. The final time data presented is averaged from a 100-time run. | |
| ## Preparation | |
| 1. Install `python >= 3.6`. | |
| 2. Install dependencies: `pip install -r requirements.txt`. | |
| 3. Download data for benchmarking. | |
| 1. Download all data: `python download_data.py` | |
| 2. Download one or more specified data: `python download_data.py face text`. Available names can be found in `download_data.py`. | |
| 3. If download fails, you can download all data from https://pan.baidu.com/s/18sV8D4vXUb2xC9EG45k7bg (code: pvrw). Please place and extract data packages under [./data](./data). | |
| ## Benchmarking | |
| Run the following command to benchmark on a given config: | |
| ```shell | |
| PYTHONPATH=.. python benchmark.py --cfg ./config/face_detection_yunet.yaml | |
| ``` | |
| If you are a Windows user and wants to run in CMD/PowerShell, use this command instead: | |
| ```shell | |
| set PYTHONPATH=.. | |
| python benchmark.py --cfg ./config/face_detection_yunet.yaml | |
| ``` | |
| <!-- | |
| Omit `--cfg` if you want to benchmark all included models: | |
| ```shell | |
| PYTHONPATH=.. python benchmark.py | |
| ``` | |
| --> |