Getting Started

from cvpal import generate, preprocessing

# Generate synthetic images
images = generate.synthetic_images("cat sitting on a chair", 10)

# Merge datasets
merged_dataset = preprocessing.merge_datasets([
    "path/to/dataset1",
    "path/to/dataset2"
])

# Count label occurrences
label_counts = preprocessing.count_labels("path/to/dataset")

print(f"Generated {len(images)} synthetic images")
print(f"Merged dataset contains {len(merged_dataset)} images")
print(f"Label distribution: {label_counts}")

from cvpal import generate

# Generate 5 images of cats
images = generate.synthetic_images("a cat sitting", 5)

# Generate with specific style
images = generate.synthetic_images(
    "a dog running in a park", 
    10, 
    style="photorealistic"
)

from cvpal import preprocessing

# Merge multiple datasets
merged = preprocessing.merge_datasets([
    "dataset1/images",
    "dataset2/images"
])

# Replace labels
preprocessing.replace_labels(
    "path/to/dataset", 
    {"old_label": "new_label"}
)

# Count label occurrences
counts = preprocessing.count_labels("path/to/dataset")
print(counts)