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This project implements object detection and range estimation. The object detection is done through YOLOV5 in this implementation. The project works in concatenation i.e object detection output is input to the range estimation model.

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MlLearnerAkash/object_detection-PLUS-distance_estimation-v1

 
 

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object_detection-PLUS-distance_estimation-v1

This project implements object detection and range estimation. The object detection is done through YOLOV5 in this implementation. The project works in concatenation i.e object detection output is input to the range estimation model.

Open in Colab

Demo1

Demo2

Table Of Contents

1. Inference on Google Colab (quickest inference execution)

> Inference on Google Colab (quickest inference execution)

Click on the following link.

https://colab.research.google.com/drive/1rEJLCUzFmkjmScXfbfaha13biHx7moh8#scrollTo=DSHoYo1hCe0R

Must Do After Clicking

>>>>> Change runtime type

>>>>> Select GPU

>>>>> Run All

Visualize the results

1. Go to frames folder and scroll down

2. Double-Click on output.mp4. See the output video in downloads.

Note: There is still work in progress. More options will be added to the project soon.

About

This project implements object detection and range estimation. The object detection is done through YOLOV5 in this implementation. The project works in concatenation i.e object detection output is input to the range estimation model.

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  • Python 71.8%
  • Jupyter Notebook 26.9%
  • Other 1.3%