https://github.com/mitmul/caltech-pedestrian-dataset-converter
Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB
https://github.com/mitmul/caltech-pedestrian-dataset-converter
Last synced: about 1 year ago
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Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB
- Host: GitHub
- URL: https://github.com/mitmul/caltech-pedestrian-dataset-converter
- Owner: mitmul
- Created: 2015-11-06T04:12:53.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2017-03-15T23:14:02.000Z (over 9 years ago)
- Last Synced: 2025-04-01T00:05:27.343Z (about 1 year ago)
- Language: Python
- Size: 0 Bytes
- Stars: 206
- Watchers: 5
- Forks: 84
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
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README
Caltech Pedestrian Dataset Converter
============================
# Requirements
- OpenCV 3.0+ (with Python binding)
- Python 2.7+, 3.4+, 3.5+
- NumPy 1.10+
- SciPy 0.16+
# Caltech Pedestrian Dataset
```
$ bash shells/download.sh
$ python scripts/convert_annotations.py
$ python scripts/convert_seqs.py
```
Each `.seq` movie is separated into `.png` images. Each image's filename is consisted of `{set**}_{V***}_{frame_num}.png`. According to [the official site](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/), `set06`~`set10` are for test dataset, while the rest are for training dataset.
(Number of objects: 346621)
# Draw Bounding Boxes
```
$ python tests/test_plot_annotations.py
```