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import json
import os
import sys
import copy
import argparse
from pathlib import Path
script_dir = os.path.dirname(os.path.abspath(__file__))
project_root = os.path.dirname(script_dir)
sys.path.insert(0, project_root)
from pipeline import (
generate_base_scene,
find_blender,
create_patched_utils,
create_patched_render_script,
create_render_from_json_script,
save_scene,
render_scene,
IMAGE_COUNTERFACTUALS,
NEGATIVE_COUNTERFACTUALS,
COUNTERFACTUAL_TYPES
)
def generate_all_counterfactual_examples(output_dir='output/counterfactual_examples',
num_objects=5,
render=False,
use_gpu=0):
print("="*70)
print("GENERATING COUNTERFACTUAL EXAMPLES")
print("="*70)
script_dir = os.path.dirname(os.path.abspath(__file__))
project_root = os.path.dirname(script_dir)
if not os.path.isabs(output_dir):
output_dir = os.path.join(project_root, output_dir)
os.makedirs(output_dir, exist_ok=True)
scenes_dir = os.path.join(output_dir, 'scenes')
images_dir = os.path.join(output_dir, 'images') if render else None
if render:
os.makedirs(images_dir, exist_ok=True)
os.makedirs(scenes_dir, exist_ok=True)
blender_path = find_blender()
create_patched_utils()
create_patched_render_script()
if render:
create_render_from_json_script()
print(f"\n1. Generating base scene with {num_objects} objects...")
base_scene = None
for retry in range(3):
base_scene = generate_base_scene(num_objects, blender_path, 0)
if base_scene and len(base_scene.get('objects', [])) > 0:
break
print(f" Retry {retry + 1}/3...")
if not base_scene or len(base_scene.get('objects', [])) == 0:
print("ERROR: Failed to generate base scene")
return
original_path = os.path.join(scenes_dir, '00_original.json')
save_scene(base_scene, original_path)
print(f" [OK] Saved original scene: {original_path}")
if render:
original_image = os.path.join(images_dir, '00_original.png')
print(f" Rendering original scene...")
render_scene(blender_path, original_path, original_image, use_gpu=use_gpu)
if os.path.exists(original_image):
print(f" [OK] Rendered: 00_original.png")
all_cf_types = {**IMAGE_COUNTERFACTUALS, **NEGATIVE_COUNTERFACTUALS}
total_cfs = len(all_cf_types)
print(f"\n2. Generating {total_cfs} counterfactual examples...")
image_cf_index = 1
for cf_type, cf_func in sorted(IMAGE_COUNTERFACTUALS.items()):
print(f"\n [Image CF {image_cf_index}/{len(IMAGE_COUNTERFACTUALS)}] Applying: {cf_type}")
try:
cf_scene, description = cf_func(copy.deepcopy(base_scene))
cf_scene['cf_metadata'] = {
'variant': f'image_cf_{image_cf_index}',
'is_counterfactual': True,
'cf_index': image_cf_index,
'cf_category': 'image_cf',
'cf_type': cf_type,
'cf_description': description,
'source_scene': '00_original'
}
filename = f"01_image_{image_cf_index:02d}_{cf_type}.json"
cf_path = os.path.join(scenes_dir, filename)
save_scene(cf_scene, cf_path)
print(f" [OK] Saved: {filename}")
print(f" Description: {description}")
if render:
cf_image = os.path.join(images_dir, filename.replace('.json', '.png'))
render_scene(blender_path, cf_path, cf_image, use_gpu=use_gpu)
if os.path.exists(cf_image):
print(f" [OK] Rendered: {filename.replace('.json', '.png')}")
image_cf_index += 1
except Exception as e:
print(f" [ERROR] ERROR applying {cf_type}: {e}")
import traceback
traceback.print_exc()
continue
negative_cf_index = 1
for cf_type, cf_func in sorted(NEGATIVE_COUNTERFACTUALS.items()):
print(f"\n [Negative CF {negative_cf_index}/{len(NEGATIVE_COUNTERFACTUALS)}] Applying: {cf_type}")
try:
if cf_type == 'add_noise':
cf_scene, description = cf_func(copy.deepcopy(base_scene), min_noise_level='medium')
else:
cf_scene, description = cf_func(copy.deepcopy(base_scene))
cf_scene['cf_metadata'] = {
'variant': f'negative_cf_{negative_cf_index}',
'is_counterfactual': True,
'cf_index': negative_cf_index,
'cf_category': 'negative_cf',
'cf_type': cf_type,
'cf_description': description,
'source_scene': '00_original'
}
filename = f"02_negative_{negative_cf_index:02d}_{cf_type}.json"
cf_path = os.path.join(scenes_dir, filename)
save_scene(cf_scene, cf_path)
print(f" [OK] Saved: {filename}")
print(f" Description: {description}")
if render:
cf_image = os.path.join(images_dir, filename.replace('.json', '.png'))
render_scene(blender_path, cf_path, cf_image, use_gpu=use_gpu)
if os.path.exists(cf_image):
print(f" [OK] Rendered: {filename.replace('.json', '.png')}")
negative_cf_index += 1
except Exception as e:
print(f" [ERROR] ERROR applying {cf_type}: {e}")
import traceback
traceback.print_exc()
continue
summary = {
'base_scene': '00_original.json',
'total_counterfactuals': len(all_cf_types),
'image_counterfactuals': len(IMAGE_COUNTERFACTUALS),
'negative_counterfactuals': len(NEGATIVE_COUNTERFACTUALS),
'counterfactuals': {}
}
image_cf_index = 1
for cf_type in sorted(IMAGE_COUNTERFACTUALS.keys()):
filename = f"01_image_{image_cf_index:02d}_{cf_type}.json"
summary['counterfactuals'][cf_type] = {
'filename': filename,
'category': 'image_cf',
'index': image_cf_index
}
image_cf_index += 1
negative_cf_index = 1
for cf_type in sorted(NEGATIVE_COUNTERFACTUALS.keys()):
filename = f"02_negative_{negative_cf_index:02d}_{cf_type}.json"
summary['counterfactuals'][cf_type] = {
'filename': filename,
'category': 'negative_cf',
'index': negative_cf_index
}
negative_cf_index += 1
summary_path = os.path.join(output_dir, 'summary.json')
with open(summary_path, 'w') as f:
json.dump(summary, f, indent=2)
print("\n" + "="*70)
print("SUMMARY")
print("="*70)
print(f"Base scene: {original_path}")
print(f"Total counterfactuals generated: {len(all_cf_types)}")
print(f" - Image CFs: {len(IMAGE_COUNTERFACTUALS)}")
print(f" - Negative CFs: {len(NEGATIVE_COUNTERFACTUALS)}")
print(f"\nAll files saved to: {output_dir}")
print(f"Summary saved to: {summary_path}")
if render:
print(f"Images saved to: {images_dir}")
print("="*70)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Generate examples of each counterfactual type')
parser.add_argument('--output_dir', type=str, default='output/counterfactual_examples',
help='Output directory for examples (default: output/counterfactual_examples)')
parser.add_argument('--num_objects', type=int, default=5,
help='Number of objects in base scene (default: 5)')
parser.add_argument('--render', action='store_true',
help='Render scenes to images')
parser.add_argument('--use_gpu', type=int, default=0,
help='Use GPU rendering (0 = CPU, 1 = GPU, default: 0)')
args = parser.parse_args()
generate_all_counterfactual_examples(args.output_dir, args.num_objects, args.render, args.use_gpu)
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