PINTO0309

Hobby programmer. Intel Software Innovator Program member.

CyberAgent, Inc.Nagoya, Japan

Pinned Repositories

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.
Language:Python15 3 00
hand_landmark
HandLandmark Detection that can be performed only in onnxruntime. Pre-focusing by skeletal detection is not performed. This does not use MediaPipe.
Language:Python17 2 00
MobileNet-SSD-RealSense
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
Language:Python361 35 33126
onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
Language:Python586 9 22162
OpenVINO-YoloV3
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
Language:Python539 31 75167
openvino2tensorflow
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
Language:Python331 16 13040
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.
Language:Python3.4k 111 323556
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.
Language:Python256 11 623
Tensorflow-bin
Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.
Language:Shell497 21 45114
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.
Language:Shell202 11 037

PINTO0309's Repositories

PINTO0309/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.
Language:Python3.4k 111 323556
PINTO0309/onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
Language:Python586 9 22162
PINTO0309/Tensorflow-bin
Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.
Language:Shell497 21 45114
PINTO0309/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.
Language:Python256 11 623
PINTO0309/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.
Language:Shell202 11 037
PINTO0309/scc4onnx
Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel order of RGB and BGR. Simple Channel Converter for ONNX.
Language:Python19 4 0
PINTO0309/hand_landmark
HandLandmark Detection that can be performed only in onnxruntime. Pre-focusing by skeletal detection is not performed. This does not use MediaPipe.
Language:Python17 2 00
PINTO0309/sit4onnx
Tools for simple inference testing using TensorRT, CUDA and OpenVINO CPU/GPU and CPU providers. Simple Inference Test for ONNX.
Language:Python17 8 02
PINTO0309/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.
Language:Python15 3 00
PINTO0309/spo4onnx
Simple tool for partial optimization of ONNX. Further optimize some models that cannot be optimized with onnx-optimizer and onnxsim by several tens of percent. In particular, models containing Einsum and OneHot.
Language:Python15 2 0
PINTO0309/snc4onnx
Simple tool to combine(merge) onnx models. Simple Network Combine Tool for ONNX.
Language:Python13 3 02
PINTO0309/sne4onnx
A very simple tool for situations where optimization with onnx-simplifier would exceed the Protocol Buffers upper file size limit of 2GB, or simply to separate onnx files to any size you want.
Language:Python13 5 01
PINTO0309/sam4onnx
A very simple tool to rewrite parameters such as attributes and constants for OPs in ONNX models. Simple Attribute and Constant Modifier for ONNX.
Language:Python11 3 01
PINTO0309/Depth-Anything-ONNX
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Language:Python9 1 0
PINTO0309/MoveNet-Python-Example
MoveNetを用いたPythonでの姿勢推定のデモ
Language:Python9 1 0
PINTO0309/sbi4onnx
A very simple script that only initializes the batch size of ONNX. Simple Batchsize Initialization for ONNX.
Language:Python7 4 01
PINTO0309/sog4onnx
Simple ONNX operation generator. Simple Operation Generator for ONNX.
Language:Python7 4 0
PINTO0309/sor4onnx
Simple OP Renamer for ONNX.
Language:Python5 3 01
PINTO0309/hand-gesture-recognition-using-neural-networks
Hand gesture recognition using neural networks
Language:Jupyter Notebook4 1 0
PINTO0309/ml-cvnets
CVNets: A library for training computer vision networks
Language:Python3 1 0
PINTO0309/ssi4onnx
Simple Shape Inference tool for ONNX.
Language:Python3 3 0
PINTO0309/vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
Language:Python2 1 01
PINTO0309/dora
low latency, composable, and distributed dataflow for AI and robotic application
Language:Rust1 1 00
PINTO0309/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.
Language:Jupyter Notebook1 1 0
PINTO0309/sng4onnx
A simple tool that automatically generates and assigns an OP name to each OP in an old format ONNX file.
Language:Python1 4 0
PINTO0309/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
Language:Python1 0 0
PINTO0309/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.
Language:TypeScript1 0
PINTO0309/EfficientNet-Pytorch
A demo for train your own dataset on EfficientNet
Language:Python1 0
PINTO0309/mcap-to-mp4
Language:Python1 0
PINTO0309/tensorflow
An Open Source Machine Learning Framework for Everyone
Language:C++1 0