Utility Scripts

This repository hosts utility scripts for image warping research.

Key files are summarized in this readme

Consult the python files in each subfolder for further details.

bdd

Obtain coco-format json of specific weather or tod

(1) Convert bdd-format to coco-format: bdd/bdd2coco.py

(2) Filter coco-format json based on weather and tod: bdd/filter_file.py

Generate json containing bboxes for instance-level warping:

(1) Run: sem_seg/seg_to_bbox.py

Visualize bboxes (and get results) on images

(1) Run detection on image

(2) Get category-wise results: coco/coco_mAP_simple.py

(3) Get bboxes visualizations: coco/vis_det_each.sh

Visualize bboxes on videos

(1) Convert video to image: video/video2image.py

(2) Generate pseduo-json for images: jsons/create_empty_json.py

(3) Run detection on image

(4) Visualize detected images: coco/vis_det_each.sh

(5) Merge images to video: video/image2video.py

Obtain 2d coco annotations from the DENSE dataset

(1) Get coco-format jsons with 2D bboxes: dense_3d2d/gen_coco.py

(2) Visualize 2D bboxes for debug: dense_3d2d/vis_many.py

(3) Count the occurence for each category: dense_3d2d/count_category.py

(4) Split into train/test based on ratio and tod constraints: dense_3d2d/train_test_split.py