Note: images and annotations in this tutorial are modified from COCO dataset.

• JupyterLab
• Official Python tools

1. update your forked repo from my repo(ref)
2. following 01_git, create a new branch LAST#_08vis2d (ex: pan667_08vis2d) in your forked repo
3. activate the environment you created in 03_conda
4. install jupyterlab
5. copy sample.ipynb to submissions and rename it as LAST#.ipynb
6. start jupyterlab, it should open a window in your browser. open your LAST#.ipynb
7. write your code to plot bounding boxes, masks, and texts, as shown in the sample, using the annotatoins.txt (similar to 07_COCO)
   • do not use showanns in pycocotools; plot it yourself with matplotlib
   • for boxes, you can use matplotlib.patches.Rectangle
   • for masks, you can create mask images with transparency and overlay with the original image
   • for texts, you can use ax.text. align text and box at the center
8. stage changes, commit with the message "learning vis2d", push and submit a pr