Aruco Marker Detection

[vishapraj]

ML-Crate Repository (Proposing new issue)

🔴 Project Title :
🔴 Aim :
🔴 Dataset :
🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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🔴🟡 Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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✅ To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Participant ID (If not, then put NA) :
• Approach for this Project :
• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.)

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[abhisheks008]

Need to share the dataset and approach for your project.
@vishapraj

[AbhineshJha]

Dataset:

Approach :

Preprocessing:

Resize, crop, and adjust brightness/contrast.
Detection:

Use OpenCV's cv2.aruco.detectMarkers for marker identification.
Pose Estimation (Optional):

Implement 3D pose estimation with cv2.aruco.estimatePoseSingleMarkers.
Visualization & Evaluation:

Visualize and evaluate marker detection accuracy.
Optimization:

Fine-tune parameters for better performance.

can u assign me with this issue under IWOC .! @abhisheks008

[AbhineshJha]

Assign me @abhisheks008 🙃

[abhisheks008]

Assign me @abhisheks008 🙃

Oh shoot! Sorry.

Assigned to @AbhineshJha under IWOC

[abhisheks008]

Unassigned as the open source event ended up.

[jayeshrdeotalu]

can you assign this to me @abhisheks008

Approach will be same :

Preprocessing:

Resize, crop, and adjust brightness/contrast.
Detection:

Use OpenCV's cv2.aruco.detectMarkers for marker identification.

Visualization & Evaluation:

Visualize and evaluate marker detection accuracy.

[abhisheks008]

can you assign this to me @abhisheks008

Approach will be same :

Preprocessing:

Resize, crop, and adjust brightness/contrast. Detection:

Use OpenCV's cv2.aruco.detectMarkers for marker identification.

Visualization & Evaluation:

Visualize and evaluate marker detection accuracy.

In which open source program/event are you participating in?

[jayeshrdeotalu]

None... just want to contribute

[abhisheks008]

As this project repository is currently part of different open source events, you can contribute here as an individual contributor after Feb 29th, 2024.
@jayeshrdeotalu

[jayeshrdeotalu]

Okay...

[jayeshrdeotalu]

So, can you assign it to me now...?

[abhisheks008]

Assigned to you as a contributor @jayeshrdeotalu