yolo object detection example

examples/Yolo-object-detection/.dockerignore

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+data
+*.tgz
+*.tar.gz

examples/Yolo-object-detection/.gitignore

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+data
+*.npz
+*.tgz
+*.tar.gz
+.mnist-keras
+client.yaml

examples/Yolo-object-detection/README.rst

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+FEDn Project: Keras/Tensorflow (MNIST) 
+-------------------------------------------
+
+This is a TF/Keras version of the PyTorch Quickstart Tutorial. For a step-by-step guide, refer to that tutorial.
+
+   **Note: We recommend all new users to start by following the Quickstart Tutorial: https://fedn.readthedocs.io/en/latest/quickstart.html**
+
+Prerequisites
+-------------------------------------------
+
+-  `Python >=3.8, <=3.12 <https://www.python.org/downloads>`__
+
+Creating the compute package and seed model
+-------------------------------------------
+
+Install fedn: 
+
+.. code-block::
+
+   pip install fedn
+
+Clone this repository, then locate into this directory:
+
+.. code-block::
+
+   git clone https://github.com/scaleoutsystems/fedn.git
+   cd fedn/examples/mnist-keras
+
+Create the compute package:
+
+.. code-block::
+
+   fedn package create --path client
+
+This should create a file 'package.tgz' in the project folder.
+
+Next, generate a seed model (the first model in a global model trail):
+
+.. code-block::
+
+   fedn run build --path client
+
+This step will take a few minutes, depending on hardware and internet connection (builds a virtualenv).  
+
+Running the project on FEDn
+----------------------------
+
+To learn how to set up your FEDn Studio project and connect clients, take the quickstart tutorial: https://fedn.readthedocs.io/en/stable/quickstart.html. 
+

examples/Yolo-object-detection/client/client-metadata

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+{"num_examples": 600, "batch_size": 32, "epochs": 1, "lr": 0.001}

examples/Yolo-object-detection/client/darknet/.gitignore

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+*.o
+*.dSYM
+*.csv
+*.out
+*.png
+*.jpg
+*.pyc
+old/
+mnist/
+data/
+caffe/
+grasp/
+images/
+opencv/
+convnet/
+decaf/
+submission/
+cfg/
+darknet
+.fuse*
+
+# OS Generated #
+.DS_Store*
+ehthumbs.db
+Icon?
+Thumbs.db
+*.swp

examples/Yolo-object-detection/client/darknet/LICENSE

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+                                  YOLO LICENSE
+                             Version 2, July 29 2016
+
+THIS SOFTWARE LICENSE IS PROVIDED "ALL CAPS" SO THAT YOU KNOW IT IS SUPER
+SERIOUS AND YOU DON'T MESS AROUND WITH COPYRIGHT LAW BECAUSE YOU WILL GET IN
+TROUBLE HERE ARE SOME OTHER BUZZWORDS COMMONLY IN THESE THINGS WARRANTIES
+LIABILITY CONTRACT TORT LIABLE CLAIMS RESTRICTION MERCHANTABILITY. NOW HERE'S
+THE REAL LICENSE:
+
+0. Darknet is public domain.
+1. Do whatever you want with it.
+2. Stop emailing me about it!

examples/Yolo-object-detection/client/darknet/LICENSE.gen

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+RNN LICENSE Version 3, June 21 2017
+
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