# the people's comma
## the paper
[Learning a Driving Simulator](http://arxiv.org/abs/1608.01230)
## the comma.ai driving dataset
7 and a quarter hours of largely highway driving. Enough to train what we had in [Bloomberg](http://www.bloomberg.com/features/2015-george-hotz-self-driving-car/).
## Examples
We present two Machine Learning Experiments to show
possible ways to use this dataset:
<img src="./images/selfsteer.gif">
[Training a steering angle predictor](SelfSteering.md)
<img src="./images/drive_simulator.gif">
[Training a generative image model](DriveSim.md)
## Downloading the dataset
```
./get_data.sh
```
or get it at [archive.org comma dataset](https://archive.org/details/comma-dataset)
45 GB compressed, 80 GB uncompressed
```
dog/2016-01-30--11-24-51 (7.7G)
dog/2016-01-30--13-46-00 (8.5G)
dog/2016-01-31--19-19-25 (3.0G)
dog/2016-02-02--10-16-58 (8.1G)
dog/2016-02-08--14-56-28 (3.9G)
dog/2016-02-11--21-32-47 (13G)
dog/2016-03-29--10-50-20 (12G)
emily/2016-04-21--14-48-08 (4.4G)
emily/2016-05-12--22-20-00 (7.5G)
frodo/2016-06-02--21-39-29 (6.5G)
frodo/2016-06-08--11-46-01 (2.7G)
```
Dataset referenced on this page is copyrighted by comma.ai and published under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.
## Dataset structure
The dataset consists of 10 videos clips of variable size recorded at 20 Hz
with a camera mounted on the windshield of an Acura ILX 2016. In parallel to the videos
we also recorded some measurements such as car's speed, acceleration,
steering angle, GPS coordinates, gyroscope angles. See the full `log` list [here](Logs.md).
These measurements are transformed into a uniform 100 Hz time base.
The dataset folder structure is the following:
```bash
+-- dataset
| +-- camera
| | +-- 2016-04-21--14-48-08
| | ...
| +-- log
| | +-- 2016-04-21--14-48-08
| | ...
```
All the files come in hdf5 format and are named with the time they were recorded.
The camera dataset has shape `number_frames x 3 x 160 x 320` and `uint8` type.
One of the `log` hdf5-datasets is called `cam1_ptr` and addresses the alignment
between camera frames and the other measurements.
## Requirements
[anaconda](https://www.continuum.io/downloads)
[tensorflow-0.9](https://github.com/tensorflow/tensorflow)
[keras-1.0.6](https://github.com/fchollet/keras)
[cv2](https://anaconda.org/menpo/opencv3)
## Hiring
Want a job at [comma.ai](http://comma.ai)?
Show us amazing stuff on this dataset
## Credits
Riccardo Biasini, George Hotz, Sam Khalandovsky, Eder Santana, and Niel van der Westhuizen
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汽车自动驾驶技术完整源代码
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美国天才计算机大牛的汽车自动驾驶技术完整源代码,包含完整源代码、深度学习训练好的数据和算法原理PDF。该软件为实践过的,汽车已经在高速路上跑过了!
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research-master.zip (47个子文件)
说明.txt 180B
research-master
server.py 7KB
models
autoencoder.py 11KB
utils.py 8KB
conditional.py 5KB
__init__.py 0B
transition.py 5KB
layers.py 25KB
dask_generator.py 4KB
images
selfsteer.gif 7.44MB
drive_simulator.gif 572KB
paper
fullmodel-eps-converted-to.pdf 221KB
aegan_samples.png 1.16MB
vae_samples.png 1.16MB
commalds.pdf 6.76MB
commalds.tex 28KB
rnn_samples.png 2.35MB
aesamples.png 2.51MB
dice.png 165KB
000124.jpg 66KB
fullmodel.svg 376KB
vae_gan_samples.eps 1.48MB
drawing.svg 450KB
Gaussian_Filter.svg 19KB
nips15submit_e.sty 9KB
fullmodel.eps 2.53MB
database.svg 1KB
samples.png 5.14MB
README.md 46B
Dice.svg 14KB
vae_gan_samples.svg 1.34MB
vae_gan_samples-eps-converted-to.pdf 210KB
DriveSim.md 2KB
view_generative_model.py 4KB
train_generative_model.py 6KB
get_data.sh 181B
LICENSE 1KB
ros
dataset_to_rosbag.py 2KB
SelfSteering.md 922B
dataset
LICENSE 387B
outputs
steering_model
steering_angle.keras 25.28MB
steering_angle.json 3KB
train_steering_model.py 3KB
.gitignore 230B
Logs.md 5KB
README.md 3KB
view_steering_model.py 4KB
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