self-driving-car
PoseEstimationForMobile
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| self-driving-car | PoseEstimationForMobile | |
|---|---|---|
| 1 | 1 | |
| 2,690 | 991 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | about 1 year ago | |
| C++ | C++ | |
| - | Apache License 2.0 |
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self-driving-car
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Need help with my school project.
Hi everyone, I'm currently doing a project for my final semester about self-driving car. I have read this repo on GitHub and when followed through, it can run on the sample maps. However, when I try it on other custom maps, the result was not as good. Can anyone here give me some general advice to further improve the model?
PoseEstimationForMobile
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Is a refresh coming?
Tonal has a pretty beefy android system in it. https://github.com/edvardHua/PoseEstimationForMobile
What are some alternatives?
lanenet-lane-detection - Unofficial implemention of lanenet model for real time lane detection
MocapNET - We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
Teaching - :mortar_board: Materials for my lectures including programming langauge design, software engineering and human-computer interaction.
tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
ChessVision - Extract chess positions from photos of 2D chessboards (chess books, screenshots, etc.)
Cocos2d - Cocos2d-x is a suite of open-source, cross-platform, game-development tools utilized by millions of developers across the globe. Its core has evolved to serve as the foundation for Cocos Creator 1.x & 2.x.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
3DObjectTracking - Algorithms and Publications on 3D Object Tracking
tensorflow - An Open Source Machine Learning Framework for Everyone