Unity Computer Vision Dataset Visualizer
This Python based tool allows you to visualize datasets created using Unity Computer Vision tools.
Requirements
- Windows 10 or OSX
- Chrome, Firefox, or Safari 14 and newer (Older versions of Safari are not supported)
- Python 3.7 or 3.8. Note that this application is not compatible with Python 3.9.
Running the visualizer
Run the command:
datasetvisualizer
Or if you want to specify a path to a dataset:
datasetvisualizer --data="<path_to_dataset>"
This command may take a few seconds to execute. Once it is done, your browser will automatically open to http://localhost:8501/ and display the application. If that does not happen, open a new browser tab and manually navigate to that address.
Once in the application, you will be prompted to select a dataset folder. Click Change Dataset at the left side of the screen and then select the root folder of your Unity Computer Vision dataset.
Known issues
- The tool cannot open a dataset that has no labeler data (bounding boxes, semantic segmentation, etc.)
- On Windows: a warning appears when launching the app (This can be ignored)
- 3D bounding boxes are not rendered properly when the camera is inside the box.
- Opening a folder that isn't a dataset folder may hang the program (The workaround is: kill the process and start it again)
Metadata
Release files for unity-cv-datasetvisualizer 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| unity-cv-datasetvisualizer-0.1.2.tar.gz | 4.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| unity_cv_datasetvisualizer-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.7 MB
Release files / unity-cv-datasetvisualizer-0.1.2.tar.gz
| Download URL | unity-cv-datasetvisualizer-0.1.2.tar.gz |
|---|---|
| Size | 4.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
48d84585f6b53cf01a65f720914937853174210a20b51c956ddd2fc50ece9f17
|
|
BLAKE2b-256 checksum How to use checksums |
6121e55cc9e80c37af26a8e9681fb1d223c174500a36745cf4bfbe4d8385afc6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
|
Release files / unity_cv_datasetvisualizer-0.1.2-py3-none-any.whl
| Download URL | unity_cv_datasetvisualizer-0.1.2-py3-none-any.whl |
|---|---|
| Size | 4.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bcb2919274c17bab3da2a5a96a1d92df53991d877a09ab22e8a7b37a6fd6930a
|
|
BLAKE2b-256 checksum How to use checksums |
4e8b96a9f136685776a926ef03ca75c2dfee9210ea92bc11590c1920f381f74c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
|