Magic Wand Filtering

import json
from labellerr.client import LabellerrClient
from labellerr.core.projects import LabellerrProject
from labellerr.core.exceptions import LabellerrError

# Initialize client
client = LabellerrClient(
    api_key='your_api_key',
    api_secret='your_api_secret',
    client_id='your_client_id'
)

# Project configuration
project_id = 'your_project_id'
project = LabellerrProject(client=client, project_id=project_id)

# Separate your predictions by confidence
prediction_files = {
    'low': 'predictions_low_confidence.json',     # < 0.5 confidence
    'medium': 'predictions_medium_confidence.json', # 0.5 - 0.8 confidence
    'high': 'predictions_high_confidence.json'     # > 0.8 confidence
}

# Upload each confidence bucket
results = {}

for confidence_level, file_path in prediction_files.items():
    try:
        print(f"Uploading {confidence_level} confidence annotations...")
        
        result = project.upload_preannotations(
            annotation_format='coco_json',
            annotation_file=file_path,
            conf_bucket=confidence_level
        )
        
        results[confidence_level] = result
        print(f"✓ {confidence_level.capitalize()} confidence upload complete")
        
        # Extract metadata
        metadata = result['response'].get('metadata', {})
        if 'files_not_updated' in metadata:
            print(f"  Files processed: {metadata.get('files_not_updated', [])}")
            
    except LabellerrError as e:
        print(f"✗ Failed to upload {confidence_level} confidence: {str(e)}")
        results[confidence_level] = {'error': str(e)}

# Summary
print("\n" + "="*50)
print("Upload Summary:")
print("="*50)
for level, result in results.items():
    status = "Success" if 'error' not in result else "Failed"
    print(f"{level.capitalize()}: {status}")