Bianbu AI Support Python Package
Project description
support
Getting started
install dependence
gcc version: 14
prepare opencv (at least version 4.2.0)
sudo apt-get install libopencv-dev
prepare onnxruntime
visit onnxruntime release and download proper version.
build demo with bash followed
ORT_HOME=${PATH_TO_ONNXRUNTIME}
# Note: Add the installation prefix of "OpenCV" to CMAKE_PREFIX_PATH or set
# "OpenCV_DIR" to a directory containing one of the following names:
# OpenCVConfig.cmake
# opencv-config.cmake
OPENCV_DIR=${PATH_TO_OPENCV_CMAKE_DIR}
mkdir build && pushd build
cmake .. -DORT_HOME=${ORT_HOME} -DOpenCV_DIR=${OPENCV_DIR} -DCMAKE_BUILD_TYPE=Debug -DTEST=OFF -DDEMO=ON
make install -j`nproc`
popd
# Or with cross compiler:
CROSS_TOOL=${PATH_TO_COMPILER_PREFIX}-
SYSROOT=${PATH_TO_SYSROOT}
cmake .. -DORT_HOME=${ORT_HOME} -DOpenCV_DIR=${OPENCV_DIR} \
-DCMAKE_C_COMPILER=${CROSS_TOOL}gcc -DCMAKE_CXX_COMPILER=${CROSS_TOOL}g++ -DCMAKE_SYSROOT=${SYSROOT}
run demo
./classification_demo <model_file_path> <label_file_path> <image_file_path>
or
./classification_demo <config_file_path> <image_file_path>
./detection_demo <model_file_path> <label_file_path> <image_file_path> <save_img_path>
or
./detection_demo <config_file_path> <image_file_path> <save_img_path>
./detection_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <model_file_path> <label_file_path> <input>
or
./detection_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <config_file_path> <input>
./detection_video_demo <model_file_path> <label_file_path> <video_file_path> <dst_file_path> (end with .avi)
or
./detection_video_demo <config_file_path> <video_file_path> <dst_file_path> (end with .avi)
./estimation_demo <det_model_file_path> <det_label_file_path> <pose_model_file_path> <image_file_path> <save_img_path>
or
./estimation_demo <det_config_file_path> <pose_config_file_path> <image_file_path> <save_img_path>
./tracker_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <det_model_file_path> <det_label_file_path> <pose_model_file_path> <input>
or
./tracker_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <det_config_file_path> <pose_config_file_path> <input>
Using environment variables to implement functions
Environment variable name | Remarks |
---|---|
SUPPORT_SHOW (stream demo) | -1 means not to display |
SUPPORT_SHOWFPS (stream demo) | If there is content, fps will be displayed |
SUPPORT_PROFILING_PROJECTS | Generated profile file address |
SUPPORT_LOG_LEVEL | The range is 0-4 |
SUPPORT_GRAPH_OPTIMIZATION_LEVEL | Graph optimization level (ort_disable_all, ort_enable_basic, ort_enable_extended, ort_enable_all) |
SUPPORT_OPT_MODEL_PATH | Optimized model path |
SUPPORT_DISABLE_SPACEMIT_EP | 1 means to disable spacemit-ep |
SUPPORT_OPENCV_THREAD_NUM | The number of threads used by opencv(>= 4.x) |
Description of formats related to label files, configuration files, and model files
Model files format: ONNX(Open Neural Network Exchange)
label files format: using text document, here is a recommended example
configuration files format: using json, the recommended configuration file content is as here
Python Support
See README.md for more details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bianbuai-1.1.0.tar.gz
(945.6 kB
view details)
File details
Details for the file bianbuai-1.1.0.tar.gz
.
File metadata
- Download URL: bianbuai-1.1.0.tar.gz
- Upload date:
- Size: 945.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d43129b6651ce8e8603b85736afb9fbe9b4544784bf9377525bf0dbfceb62536 |
|
MD5 | 06bc56891cd1ebfe95f165ab8dd4c67a |
|
BLAKE2b-256 | 4db99ae454f9009854eb7e240cba7bbb2ecdbfe06d56b65a268c4ea5b88e63fe |