Skip to main content

`dora` goal is to be a low latency, composable, and distributed data flow.

Project description

dora-rerun

dora visualization using rerun

This nodes is still experimental and format for passing Images, Bounding boxes, and text are probably going to change in the future.

Getting Started

pip install dora-rerun

Adding to existing graph:

- id: plot
  build: pip install dora-rerun
  path: dora-rerun
  inputs:
    image:
      source: camera/image
      queue_size: 1
    text_qwenvl: dora-qwenvl/text
    text_whisper: dora-distil-whisper/text
  env:
    IMAGE_WIDTH: 640
    IMAGE_HEIGHT: 480
    README: |
      # Visualization
    RERUN_MEMORY_LIMIT: 25%

Input definition

  • image: UInt8Array + metadata { "width": int, "height": int, "encoding": str }
  • boxes2D: StructArray + metadata { "format": str }
  • text: StringArray
  • jointstate: Float32Array

(Experimental) For plotting 3D URDF

pip install git+https://github.com/rerun-io/rerun-loader-python-example-urdf.git

Make sure to name the dataflow as follows:

- id: rerun
  path: dora-rerun
  inputs:
    jointstate_<ENTITY_NAME>: <ENTITY_NAME>/jointstate
  env:
    <ENTITY_NAME>_urdf: /path/to/<ENTITY_NAME>.urdf
    <ENTITY_NAME>_transform: 0 0.3 0

[!IMPORTANT]
Make sure that the urdf file name correspond to your dataflow object name otherwise, it will not be able to link to the corresponding entity.

[!WARNING] Please make sure to review the following gotchas:

Configurations

  • RERUN_MEMORY_LIMIT: Rerun memory limit

Reference documentation

Examples

License

The code and model weights are released under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dora_rerun-0.3.11.tar.gz (148.0 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

dora_rerun-0.3.11-pp311-pypy311_pp73-win_amd64.whl (23.0 MB view details)

Uploaded PyPyWindows x86-64

dora_rerun-0.3.11-pp310-pypy310_pp73-win_amd64.whl (23.0 MB view details)

Uploaded PyPyWindows x86-64

dora_rerun-0.3.11-pp39-pypy39_pp73-win_amd64.whl (23.0 MB view details)

Uploaded PyPyWindows x86-64

dora_rerun-0.3.11-cp313-cp313t-win_amd64.whl (23.0 MB view details)

Uploaded CPython 3.13tWindows x86-64

dora_rerun-0.3.11-cp37-abi3-win_amd64.whl (23.0 MB view details)

Uploaded CPython 3.7+Windows x86-64

dora_rerun-0.3.11-cp37-abi3-musllinux_1_2_armv7l.whl (6.1 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ ARMv7l

dora_rerun-0.3.11-cp37-abi3-manylinux_2_39_x86_64.whl (6.6 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.39+ x86-64

dora_rerun-0.3.11-cp37-abi3-manylinux_2_28_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ x86-64

dora_rerun-0.3.11-cp37-abi3-manylinux_2_28_aarch64.whl (6.2 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ ARM64

dora_rerun-0.3.11-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.2 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.17+ ARM64

dora_rerun-0.3.11-cp37-abi3-macosx_11_0_arm64.whl (5.7 MB view details)

Uploaded CPython 3.7+macOS 11.0+ ARM64

File details

Details for the file dora_rerun-0.3.11.tar.gz.

File metadata

  • Download URL: dora_rerun-0.3.11.tar.gz
  • Upload date:
  • Size: 148.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.3

File hashes

Hashes for dora_rerun-0.3.11.tar.gz
Algorithm Hash digest
SHA256 5d9ab0ed4f1860458e9cdd19011e512ae2bddc2783746a6d7e1ea5391bb62c24
MD5 4c022e6f72d33f6651ec9b8b6c50c274
BLAKE2b-256 c54cd14e7c83638e57cebf30e30a91eff5ccbc4230ad8951664684a309a7711a

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-pp311-pypy311_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-pp311-pypy311_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 b297713c057f69ef3f6b6d9947bac80bf55abe6a974691e70ab1d5a738ff45e9
MD5 001860ebbe90b22d6ada56d9432ab65a
BLAKE2b-256 0d57e67e1bfed3ccb02a43b1424c7a47e7e9713440d92e74b02041c26ab86b6c

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 f9397e164211efe78c497b37c98ed7f2771081e67239f7ac13651417010a3508
MD5 a59e2be524f1aeadf927d7fad75278b5
BLAKE2b-256 fc373caa4420f5bcc9fe286deb02e96c2b9cf35929b066e12085952c2d095c5b

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 34f2fa40a481dfc1d7fa77cddef348a40a0a126cdc479e2950f94a9d41dcc866
MD5 7da437e35c6dc46ba17516cac35eb67c
BLAKE2b-256 2c447e28a824b24cd493ac449a98cbb707a2183011b9fc3f87dc44bdf89a9e86

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp313-cp313t-win_amd64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp313-cp313t-win_amd64.whl
Algorithm Hash digest
SHA256 535379867fdeff11a20c86e4db9a32da497a453fecb23eebc8ce4488b34c2d9d
MD5 ef5a35162f7ed6436b8d816b50a63b96
BLAKE2b-256 66becc96fca401a5a7712d2f2d1c740455d9b41d21e16717fb9fcece8d9f8882

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp37-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp37-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 767faa20bbb9c146a127af2f6be029be3bc55c689eea7b54e562d9b32aa5f44d
MD5 45bd2a834699f860925c97344bbbf71e
BLAKE2b-256 c00d2be92f8f6ad81b795909bad631ba7bf201d6b40f0d4188e0effe90024eb5

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp37-abi3-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp37-abi3-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 2830a75ec2eb8c8d83c37c29a43d16d1afb242b5199c6a23d636dac2815cbf3f
MD5 2b0571129fdca432600c8692fcac2500
BLAKE2b-256 674e195c8d6268517555d92028d67e4f445ea429bfd280c385a44a8bc9841d82

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp37-abi3-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp37-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 dffb6f63ef078bc6fd8b20d428f194e6c6d65bdf12342b571c2d3c2fb3ef1f41
MD5 cccc2063fa05d82fe3e20b9a15833ace
BLAKE2b-256 6c03e4582a7f9606ba43069181b691043e4459cf64f555bb341c492e3fefd10e

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp37-abi3-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp37-abi3-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 46a00f964cfd90b17c86d617695252cf5d32e7698acafca2be984ca78c25051d
MD5 9a8ae4da2440ee3fd300fc575aaa8cbd
BLAKE2b-256 b4fdcba22b7056c028d939289dd40997859c3f0f7ae7b6655e46b94ca7631d95

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp37-abi3-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp37-abi3-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 b43e38e0c9d4339919728c0dd656b5a516f18be5268c4e051336089a50585641
MD5 a8fa78e34dc921de38c3ed300f5c600f
BLAKE2b-256 65aafff70bca8b29897f9cc8131b1563feda80e57677ed23fa2884d6069c62b9

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 eba223a45a65cc3b11f2cc66e97146448a9685c999dba98844203897b5803e98
MD5 970bc14d75b8b32d2564260c83048b9c
BLAKE2b-256 17c5970ae61b5317d3b1307ddfb0f24b84e4709a6f18f8c281d1c19001c7753f

See more details on using hashes here.

File details

Details for the file dora_rerun-0.3.11-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dora_rerun-0.3.11-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 33eeff6bce4517d9e9f7c55a7db38c60a6da17f35ec21b223a6bbaec13e3092b
MD5 6514cf4963adcf7c9131784ad0f2e469
BLAKE2b-256 7add37edd3e67101b0e9903c00db388825aee8f3784b5387c70bb39e8437386e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page