Visualization of data and/or model trajectories on a 2D plane using pygame
Project description
Trajectory Visualization
Visualization of data and/or model trajectories on a 2D plane using pygame.
The trajectory can be made of positions but may extend to aim, jump, leaning, etc.
Installation
Clone the repository and install the dependencies:
git clone git@gitlab-ncsa.ubisoft.org:tboulet/trajectory-visualization.git
cd trajectory-visualization
pip install -r requirements.txt
Visualize trajectories from JSON data
Run the following command to visualize the trajectories from the JSON data file data.json
:
python trajectory_vis\vizualizers\visualizer_from_json.py --path=<path_to_json_folder> --random=<true or false> --n=<number_of_trajectories_to_visualize_at_once>
If you don't specify any path, the default path "//ubisoft.org/projects/r6/mtl/Public/AIBots/playerdata/y8s1.2/bigresults/output" will be used.
Visualize trajectories from the Drain database
This is done as a drain job. The configuration can be modified in the yaml file yamls\visualize_episodes.yaml
. Once it is done, run the following command:
drain run --yaml=yamls\visualize_episodes.yaml
Visualize trajectories from a model
TODO
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file trajectory_vis-1.0.0.tar.gz
.
File metadata
- Download URL: trajectory_vis-1.0.0.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 91ae3a20ad92296495eb8bf379efdab54343cb87329279b0266c1e4fe4cab7cb |
|
MD5 | bd6f213ddc7702bf885360f855f482cb |
|
BLAKE2b-256 | cd89df19378e8d0ee517bad430e2ab38161f6a974d018b981778e4c54c22960a |
File details
Details for the file trajectory_vis-1.0.0-py3-none-any.whl
.
File metadata
- Download URL: trajectory_vis-1.0.0-py3-none-any.whl
- Upload date:
- Size: 10.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50e6a61d686b3d04848d3814fe8ecea1857cccd68871fcd79f643647e49ebae1 |
|
MD5 | d06e5cb5790a6610d86591b1fab984ec |
|
BLAKE2b-256 | 8020022194d8f25add79aa0fae56693a6a3496e08082b6e70693603cb6d4f877 |