#Automatic GCP Marker Detection and locating GCP
#Detailed Approach has been explained in Automatic_GCP_detection_approach.pdf
#Requirement:
- python3
- pytorch
- opencv2
- cuda
#to_run_model1 $ python3 main1.py
This performs good with less false predictions. But unable to detect very small GCP markers of size less than 16x16.
#to_run_model2 $ python main2.py
This performs relatively better. But False predictions are more than model 1.
Tests are performed on
- CV-Assignment-Dataset
- ML - Dataset #2
(Link to Download https://drive.google.com/drive/folders/1V72hs79YpWrfg3h6s4wYS9Erb0ZdLtEV)
GCP marker are highlighted by Blue rectangle and GCP is located by Red point in the image
Results are located in folder
- CV-Assignment-Dataset-Output
- CV-Assignment-Dataset-Output-model2
- ML - Dataset #2-Ouput