docs
rpi-urban-mobility-tracker
| docs | rpi-urban-mobility-tracker | |
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| 3 | 1 | |
| 6,033 | 111 | |
| 0.5% | - | |
| 9.0 | 0.0 | |
| 9 days ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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docs
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Anyone willing to help me out on a discord call or something?
This is the model I’m trying to understand and create my own version of: https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/recurrent_quickdraw.md
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Well technically, C++ *is* Danish...
Seems like a fun task. Tensorflow already has a nice tutorial for image segmentation . You’d have to replace the pets by fruits and then you’d be good.
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Get started with TensorFlow and Deep Learning
TensorFlow docs here
rpi-urban-mobility-tracker
What are some alternatives?
Artificial-Intelligence_resources-and-notebooks - This repo contains various different datasets and codes with various different algorithms. This also contains code and demonstrations to run an Artificial Intelligence Algorithm on the edge. It also contains many datasets where one can practice AI.
spchcat - Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
kivy-tensorflow-helloworld - Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.
introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning
tensorflow_lite_alpine - Tensorflow Lite reduced to a tiny C library compatible with musl environments like Alpine Linux
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
DeepSORT - support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++