- I had previous experience working with object detection models. Hence, I was familiar with training models and evaluating trained models using pytorch and tensorflow frameworks using python. However, for this contribution I had to learn adpat to using cv.dnn framework since the entire project revolved providing more opencv zoo features based on opencv frameworks.
- Therefore, I was asked to review work with cv.dnn framework by trying out examples from the opencv_zoo repo and also refering to the package and module informations from opencv documentation
- This project involved working on trained model weights, hence I was not required to open a lot of pull request making my contributions very precise to the point. I was assigned the following tasks for the week ahead.
WEEK1 TASKS
- Raise an issue for task tracker for the project on OpenCV_Zoo repo.
- Complete survey on light-weight object detection models and run evaluation on COCO dataset.
ISSUE
🟩 - 3 hours of coding (working days: Monday - Friday)