https://github.com/developer0hye/plotbbox

A package to plot pretty bounding boxes for object detection task
https://github.com/developer0hye/plotbbox

bounding-box bounding-boxes centernet coco efficientdet fcos object-detection plot plot-bbox rcnn ssd visualisation visualization voc yolo

Last synced: 5 months ago
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A package to plot pretty bounding boxes for object detection task

• Host: GitHub
• URL: https://github.com/developer0hye/plotbbox
• Owner: developer0hye
• License: mit
• Created: 2021-02-25T12:11:30.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2021-02-26T14:05:59.000Z (almost 5 years ago)
• Last Synced: 2025-08-28T00:37:19.161Z (6 months ago)
• Topics: bounding-box, bounding-boxes, centernet, coco, efficientdet, fcos, object-detection, plot, plot-bbox, rcnn, ssd, visualisation, visualization, voc, yolo
• Language: Python
• Homepage: https://github.com/developer0hye
• Size: 19.2 MB
• Stars: 7
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# plotbbox

A package to plot pretty bounding boxes for object detection task

![](https://raw.githubusercontent.com/developer0hye/plotbbox/master/figures/figure_1_examples.png)

# Install

```python

pip install plotbbox

```

# Example Usage

```python

import cv2

from plotbbox import plotBBox

img = cv2.imread("your_img.png")

label_table = {0: "person", 1: "car"}

color_table = {0: [0, 255, 0], 1: [0, 0, 255]} # order: b, g, r

bboxes = your_detection_algorithm(img) # Shape: (N, 5), [:, 0]: class index, [:, 1:]: xmin, ymin, xmax, ymax

for bbox in bboxes:

  

  class_idx = bbox[0]

  xmin, ymin, xmax, ymax = bbox[1:]

  plotBBox(img, 

           xmin, ymin, xmax, ymax, color=color_table[class_idx], thickness=1, 

           label=label_table[class_idx]) # plot bounding box on img

cv2.imwrite("bboxes_plotted_your_img.png", img)

```

Read [docs/example.py](https://github.com/developer0hye/plotbbox/blob/main/docs/example.py) and run for more details!