AnalyticSDF / create_samples.py
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#!/usr/bin/env python3
"""
Create a samples directory with a few examples from each curve type.
"""
import os
import shutil
import json
# Configuration
SAMPLES_PER_TYPE = 3 # Number of samples per curve type per dataset
SOURCE_DIR = "results"
TARGET_DIR = "samples"
def create_samples():
# Remove existing samples directory
if os.path.exists(TARGET_DIR):
shutil.rmtree(TARGET_DIR)
os.makedirs(TARGET_DIR)
datasets = ['dev', 'test', 'train']
curve_types = ['circle', 'ellipse', 'hyperbola', 'parabola']
total_copied = 0
for dataset in datasets:
dataset_dir = os.path.join(SOURCE_DIR, dataset)
if not os.path.exists(dataset_dir):
continue
target_dataset_dir = os.path.join(TARGET_DIR, dataset)
os.makedirs(target_dataset_dir, exist_ok=True)
# Copy summary.json
summary_src = os.path.join(dataset_dir, 'summary.json')
if os.path.exists(summary_src):
shutil.copy(summary_src, target_dataset_dir)
for curve_type in curve_types:
src_type_dir = os.path.join(dataset_dir, curve_type)
if not os.path.exists(src_type_dir):
continue
target_type_dir = os.path.join(target_dataset_dir, curve_type)
os.makedirs(target_type_dir, exist_ok=True)
# Get PNG files and sort them
png_files = sorted([f for f in os.listdir(src_type_dir) if f.endswith('.png')])
# Select samples (first, middle, last)
if len(png_files) == 0:
continue
elif len(png_files) <= SAMPLES_PER_TYPE:
selected = png_files
else:
indices = [0, len(png_files)//2, len(png_files)-1]
selected = [png_files[i] for i in indices[:SAMPLES_PER_TYPE]]
# Copy selected files
for filename in selected:
src = os.path.join(src_type_dir, filename)
dst = os.path.join(target_type_dir, filename)
shutil.copy(src, dst)
total_copied += 1
print(f" Copied: {dataset}/{curve_type}/{filename}")
print(f"\n✓ Created samples directory with {total_copied} files")
print(f" Location: {os.path.abspath(TARGET_DIR)}")
if __name__ == "__main__":
create_samples()