UC3M-PIC
Computer Vision class evaluation module for Master in Robotics and Automation at UC3M
Login
Before evaluating your models, login with GCP credentials:
import uc3m_pic
student = uc3m_pic.eval.User(user_id)
student.login(os.path.join(path_to_credentials))
student.open_by_url(url)
Evaluation
Submit your model for evaluation and leaderboard update:
student.submit(best_model, exercise=exercise_number)
1 maintainer
Metadata
1 maintainer
Release files for uc3m-pic 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| uc3m_pic-0.4.0.tar.gz | 18.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| uc3m_pic-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.3 kB
Release files / uc3m_pic-0.4.0.tar.gz
| Download URL | uc3m_pic-0.4.0.tar.gz |
|---|---|
| Size | 18.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
|
Release files / uc3m_pic-0.4.0-py3-none-any.whl
| Download URL | uc3m_pic-0.4.0-py3-none-any.whl |
|---|---|
| Size | 18.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
|
