Put the model in the same folder as the Python script. Create the MediaPipe face detector: importmediapipeasmpfrommediapipe.tasksimportpythonfrommediapipe.tasks.pythonimportvisionmp_face_detection=mp.solutions.face_detectionmp_drawing=mp.solutions.drawing_utilsbase_options=python.BaseOptions(model_asset_pa...
The goal is to create an interactive drawing experience without touching any physical device. Prerequisites Before we start, ensure you have the following libraries installed: OpenCV NumPy MediaPipe You can install these libraries using pip: pip install opencv-python numpy mediapipe Python Copy Step-...
You can useDlibinstead ofMediaPipeas the face-tracker. Since Dlib doesn't distribute as pre-compiled Python wheels, you will need to install a C++ compiler and toolchain, capable of compiling Python extensions. Depending upon your platform, please install: ...
➜mediapipe git:(master) ✗ python setup.py buildrunning buildrunning build_binary_graphsgenerating binarypb: mediapipe/modules/face_detection/face_detection_short_range_cpuDEBUG: ~/.cache/bazel/_bazel_lvision/dfcc17eb3fa3a6c44920fcc8986c0699/external/org_tensorflow/third_party/repo.bzl:108:...
Multiple cameras are problematic for me. I am wondering whether EasyMocap can produce BVH output from OpenPose .json output. Do you know? Or is the only workflow to output a model that can be converted to fbx and the animation then trans...