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@PINTO0309

Katsuya Hyodo

PINTO0309
Nagoya, Japan

In order to use Tensorflow and Tensorflow Lite with low-spec edge devices, I have created a Wheel installer that is not provided by the official website. The Python API of Tensorflow Lite provided by me runs twice as fast as the official one by implementing additional multithreading. Depending on how busy me is, the build work is carried out sequentially within a week each time the latest version is released from the official website. I am an engineer who mainly develops in Python.

Current sponsors 9

@asus4
@keijiro
@deephog
@Kazuhito00
@silphire
@edgeimpulse
@remyxai
@Notheisz57
@samuel-wj-chapman
Past sponsors 29
@neka-nat
@nobilearn
@syosetu
@jhonrputra
@yrinda
@k-ele
Private Sponsor
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Private Sponsor
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@DionisioII

Featured work

  1. PINTO0309/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)…

    Python 366
  2. PINTO0309/OpenVINO-YoloV3

    YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

    Python 537
  3. PINTO0309/Keras-OneClassAnomalyDetection

    [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/…

    Jupyter Notebook 128
  4. PINTO0309/Tensorflow-bin

    Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.

    Shell 502
  5. 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.

    Shell 209
  6. 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…

    Python 3,616

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This assistance is used to maintain the development environment. Help is required to continue the Tensorflow Wheel Installer creation activity. Support is used to pay for rental servers, MicroSD cards and electricity bills.