The Mime Industries learning site

A spark core controller for the MeArm robotic arm. Complete with S-Curve motion planning and inverse kinematics.

Motion control library for Phenoptix meArm in Python on BeagleBone Black

Inverse kinematics control library for Phenoptix meArm

Standard control and Inverse Kinematics control library for MeArm and Arduino

TTGO T-camera Plus

Shrinked OpenCV for ESP32

ESP32 as wifi with SPI interface

🔰 Compatible with all TTGO camera products

Arduino-compatible servo library for the ESP32

Generate RC servo signal on a selected pins with ESP32 device and Arduino framework.

ESP32-DEVKIT guide(This kit is based on esp-wroom-32)

library and sample to access to UVC web camera on non-rooted Android device

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices + added support for tracking using deep sort (this is a sub-mo…

An open autonomous driving platform 百度自动驾驶开源框架

Caffe: a fast open framework for deep learning.

Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)

ncnn is a high-performance neural network inference framework optimized for the mobile platform

This branch is developed for deep face recognition

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018

C++ implementation of TLD

Weakly-supervised Pedestrian Attribute Localization Network (WPAL-network).

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

A toolkit for making real world machine learning and data analysis applications in C++

Openposeの2D人間骨格データから3D関節データを生成し、その関節データを出力します。

3d-pose-baseline-vmd で出力した関節データをもとに、vmd(MMDモーションデータ)ファイルを生成します。

Monocular Visual-Inertial State Estimator on Mobile Phones