Katsuya Hyodo's repositories
PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Tensorflow-bin
Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.
simple-onnx-processing-tools
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.
TensorflowLite-bin
Prebuilt binary for TensorFlowLite's standalone installer. For RaspberryPi. A very lightweight installer. I provide a FlexDelegate, MediaPipe Custom OP and XNNPACK enabled binary.
hand_landmark
HandLandmark Detection that can be performed only in onnxruntime. Pre-focusing by skeletal detection is not performed. This does not use MediaPipe.
BoT-SORT-ONNX-TensorRT
BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.
Depth-Anything-ONNX
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
MoveNet-Python-Example
MoveNetを用いたPythonでの姿勢推定のデモ
hand-gesture-recognition-using-neural-networks
Hand gesture recognition using neural networks
vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
easy_ViTPose
Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.
ros2bagsend
A tool that uses simple logic to send topics recorded in ros2 bag one cycle at a time (not a strict cycle). I use this tool to step-submit and debug rosbag topics synchronously.
XFeat-Image-Matching-ONNX-Sample
XFeatをONNXに変換し特徴点マッチングを行うサンプル
cvat_custom
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
EfficientNet-Pytorch
A demo for train your own dataset on EfficientNet
tensorflow
An Open Source Machine Learning Framework for Everyone