benchmark/README.md

OpenCV Zoo Benchmark

Benchmarking different models in the zoo.

Data for benchmarking will be downloaded and loaded in 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.

Benchmarking

Run the following command to benchmark on a given config:

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:

set PYTHONPATH=..
python benchmark.py --cfg ./config/face_detection_yunet.yaml