https://github.com/wambugu71/tree-couting-deepforest-drone_imagery

Counting the number of trees in an area, muringato area.
https://github.com/wambugu71/tree-couting-deepforest-drone_imagery

data-science deep-learning deep-neural-networks ecology image-recognition machine-learning object-detection python

Last synced: about 2 months ago
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Counting the number of trees in an area, muringato area.

• Host: GitHub
• URL: https://github.com/wambugu71/tree-couting-deepforest-drone_imagery
• Owner: wambugu71
• License: mit
• Created: 2024-01-17T11:31:37.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-17T11:37:04.000Z (about 1 year ago)
• Last Synced: 2024-11-22T19:14:51.649Z (about 2 months ago)
• Topics: data-science, deep-learning, deep-neural-networks, ecology, image-recognition, machine-learning, object-detection, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.89 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Tree-couting-Deep-learning-DSAIL

The Repo  contains  notebook file  used  to detect  the  number  of  trees  from drone  imagery.

This  was a  project handled  at  DSAIL dekut. 

## Libraries  used .

``` Bash

deepforest #core library with pretrained  models for  detection.

gdal

osgeo

numpy

skimage #to manipulate  the  tif image.

torch # for  deep learning

pandas #showing  models  labels and scores

matplotlib #for visualization of the  images.

```