docs
yolov3-tf2
| docs | yolov3-tf2 | |
|---|---|---|
| 3 | 3 | |
| 6,033 | 2,510 | |
| 0.5% | - | |
| 9.0 | 2.4 | |
| 9 days ago | 6 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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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
yolov3-tf2
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.
yolact - A simple, fully convolutional model for real-time instance segmentation.
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
yolact - Tensorflow 2.x implementation YOLACT
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]
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning
TACO - 🌮 Trash Annotations in Context Dataset Toolkit