Feature/LABIMP 7887 - #22
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test: Add integration tests for Labellerr SDK
This commit introduces integration tests for core SDK functionalities:
Features tested:
- Project creation with multiple annotation types:
* Polygon annotations
* Bounding box detection
* Classification (select, dropdown, radio)
* Text input fields
* Combined annotation types
- Project export functionality
- Pre-annotation upload support (COCO JSON format)
Test structure:
/tests
/integration
- Create_Project.py # Project creation test cases
- Export_project.py # Export functionality tests
- Pre_annotation.py # Pre-annotation upload tests
- main.py # Test runner
- cred.py # Credentials config (gitignored)
Requirements:
- Valid API credentials in cred.py
- Test image dataset in test_img/
- Sample annotations in annotations.json
Note: Remember to update cred.py with valid credentials before running tests
-removed __pychace__ -added .gitignore
- added utils/client_utils - added video_sampling/pyscene_detect.py
- add videointelligence module in requirements
…SDKPython into feature/LABIMP-7672
This reverts commit 5addbaa.
added the updated client.py added the restructure files
Refactor video sampling services to include dataset ID in output folder structure - Updated FFMPEGSceneDetect to derive dataset ID from video path and include it in the output folder. - Modified PySceneDetect to incorporate dataset ID in the output folder structure. - Adjusted SSIMSceneDetect to also use dataset ID for organizing output folders.
…ataset and update related methods in SDK notebook - Updated import statements in __init__.py and SDK.ipynb to reflect the new class name. - Renamed method process_all_videos() to download() in LabellerrDataset class. - Adjusted SDK notebook to use the new download() method for processing videos. - Corrected dataset directory path in SDK notebook. - Added sections for project creation and image dataset handling in the SDK notebook.
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created 1000 video kaggle dataset and added download script to cookbook