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MedVQA
A CLI tool used for multiple MedVQA competitions: ImageCLEFmed-MEDVQA-GI-2025, ImageCLEFmed-MEDVQA-GI-2026, MediaEval-Medico-2025, and MediaEval-Medico-2026.
Installation
pip install -U medvqa
The library is under heavy development. So, we recommend to always make sure you have the latest version installed.
For development:
pip install git+https://github.com/SushantGautam/MedVQA.git
Also has full_evaluate and challenge_evaluate modules for detailed evaluation for the competition organizers.
Example Usage
Check respective competition repo for detailed submission instructions. For example: MediaEval-Medico-2025 competition repo.
medvqa validate_and_submit --competition=medico-2025 --task=1 --repo_id=...
# or for Medico 2026:
medvqa validate_and_submit --competition=medico-2026 --task=1 --repo_id=...
# or for MEDVQA-GI 2026:
medvqa validate_and_submit --competition=gi-2026 --task=1 --repo_id=...
where repo_id is your HuggingFace Model repo id (like SushantGautam/XXModelCheckpoint) with the submission script as required by the competition organizers, for eg, submission_task1.py file for task 1 and submission_task2.py for task 2.
Metadata
Release files for medvqa 0.15.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| medvqa-0.15.7.tar.gz | 21.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| medvqa-0.15.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 89.4 kB
Release files / medvqa-0.15.7.tar.gz
| Download URL | medvqa-0.15.7.tar.gz |
|---|---|
| Size | 21.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / medvqa-0.15.7-py3-none-any.whl
| Download URL | medvqa-0.15.7-py3-none-any.whl |
|---|---|
| Size | 68.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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a1c78ae64aca0ef537fe460a97f3851fc666d1c78bd5b4b8871a0b160713e5ba
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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