m-kashani commented 4 years ago

What it does?

Shows the images before and after the bounding boxes based on the given coordination.

TO Do NEXT:

[x] Ten different colors on 10 different categories.

[x] Created a folder for Top 5 and Top 20 images in drop box. People can comment on images. (interesting stuff)
- [x] Created a folder for Top 5 below to see bad labeling as well. -> Observation is needed.
- [ ] Search and write more about contaminated examples and how it's effective.
- [ ] If Bounding BOX is BIG -> DRAW the text Larger.

top 5 images	Number of Objects
A_3D_L0646_144.jpg	56
3D_L0622_176.jpg	55
3R010215_829.jpg	54
B_3D_L0647_42.jpg	53
3D_L0622_139.jpg	53

3L040215_322.jpg 49 B_3D_L0647_127.jpg 49 3D_L0453_49.jpg 48 3D_L0622_91.jpg 48 3D_L0622_150.jpg 48 3D_L0623_38.jpg 47 B_3D_L0647_160.jpg 47 3L010215_778.jpg 47 3D_L0453_283.jpg 47 B_3D_L0647_488.jpg 46 3D_L0215_202.jpg 45 3D_L0623_59.jpg 45 A_3D_L0646_394.jpg 45 C_3D_L0648_194.jpg 44 A_3D_L0646_263.jpg 44

bottom 5 images	Number of Objects
3D_L0443_21.jpg	8
3D_L0443_36.jpg	5
3D_L0441_41.jpg	4
3D_L0457_97.jpg	2
3D_L0453_119.jpg	2

Might be related later:

https://github.com/facebookresearch/detectron2/blob/master/detectron2/utils/visualizer.py
    def bbox(self):
        p = mask_util.frPyObjects(self.polygons, self.height, self.width)
        p = mask_util.merge(p)
        bbox = mask_util.toBbox(p)
        bbox[2] += bbox[0]
        bbox[3] += bbox[1]
        return bbox

m-kashani commented 4 years ago