Evshow
Convert event data into frame representation.
Inspired by imshow, creating an event2frame representation software for commandline usage
Two extensible sub-packages:
- readwrite: for different datasets, there will be different event data loaders.
- dsec
- event2frame: implementation for different event representation methods. Currently:
Install and Usage:
- Install:
- Build from source:
git clone https://github.com/RunqiuBao/evshow.git pip install -r requirements.txt python3 -m pip install ./
- Pip:
- Build from source:
- Example usage:
- On dsec format data:
cd ./evshow # install git LFS if not yet curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash sudo apt-get install git-lfs git lfs install # use git LFS to download sample data git lfs pull # accumulating events every 200000, using e2vid conversion, generate first 10 frames. evshow data/sample_dsecformat.h5 -o data/seq0/ --numevents 200000 --rw_module dsec --e2vid --numframes 10
- On dsec format data:
Metadata
Release files for evshow 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| evshow-1.0.0.tar.gz | 43.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| evshow-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.0 MB
Release files / evshow-1.0.0.tar.gz
| Download URL | evshow-1.0.0.tar.gz |
|---|---|
| Size | 43.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.8.10
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Release files / evshow-1.0.0-py3-none-any.whl
| Download URL | evshow-1.0.0-py3-none-any.whl |
|---|---|
| Size | 42.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0584865a0dea5eb8deccc9957465149afabaa1dfa873837139cd74299bd9d8fc
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.10
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