DB
Real-time Scene Text Detection with Differentiable Binarization
Note:
- Models source: here.
IC15
in the filename means the model is trained on IC15 dataset, which can detect English text instances only.TD500
in the filename means the model is trained on TD500 dataset, which can detect both English & Chinese instances.- Visit https://docs.opencv.org/master/d4/d43/tutorial_dnn_text_spotting.html for more information.
Demo
Python
Run the following command to try the demo:
# detect on camera input
python demo.py
# detect on an image
python demo.py --input /path/to/image -v
# get help regarding various parameters
python demo.py --help
C++
Install latest OpenCV and CMake >= 3.24.0 to get started with:
# A typical and default installation path of OpenCV is /usr/local
cmake -B build -D OPENCV_INSTALLATION_PATH=/path/to/opencv/installation .
cmake --build build
# detect on camera input
./build/opencv_zoo_text_detection_db -m=/path/to/model
# detect on an image
./build/opencv_zoo_text_detection_db -m=/path/to/model -i=/path/to/image -v
# get help messages
./build/opencv_zoo_text_detection_db -h
Example outputs
License
All files in this directory are licensed under Apache 2.0 License.