drone-dataset | Drone dataset to guide enemy drones | Machine Learning library

by dasmehdix JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | drone-dataset Summary

drone-dataset is a JavaScript library typically used in Manufacturing, Utilities, Aerospace, Defense, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. drone-dataset has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Drone dataset to guide enemy drones (with some tools)

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Quality

Security

License

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Support

drone-dataset has a low active ecosystem.

It has 59 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of drone-dataset is current.

Quality

drone-dataset has no bugs reported.

Security

drone-dataset has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

drone-dataset is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

drone-dataset releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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drone-dataset Key Features

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drone-dataset Examples and Code Snippets

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Community Discussions

Trending Discussions on drone-dataset

Getting -NaN during DARKNET training, what am i doing wrong?

QUESTION

Getting -NaN during DARKNET training, what am i doing wrong?

Asked 2020-Feb-13 at 01:27

I want to train YOLOv3 to detect humans on aerial pictures. Im using VisDrone Object Detection in Images dataset: github.com/VisDrone/VisDrone-Dataset

I wrote a script that converted labels to darknet format so that i can train it according to pjreddie "Training YOLO on COCO" instructions, I double checked if my converted labels match the objects correctly and they do, I also created a proper coco.names file according to labels description on VisDrone2018-DET-toolkit on github. I created trainvalno5k.txt file by running

python 5kGenerator.py > trainvalno5k.txt

5kGenerator.py:

...

ANSWER

Answered 2020-Feb-12 at 20:07

It's better to using AlexeyAB repository for training.
You should use Validation set or test for evaluation of trained networks on your data.
I have trained a 26 classes dataset and I ignored 5k classes & you have 12 classes.
for Nan value it's better to decrease Learning Rate in starting of training. and then increasing it.
you could train your network in windows & Linux and it's not matter.

Source https://stackoverflow.com/questions/60158549

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install drone-dataset

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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