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"""
高质量批量渲染脚本 - 使用 visualize_blender_hq.py
"""
import os
import json
import math
import sys
import collections
import argparse
from tqdm import tqdm
# Import high-quality visualizer
try:
import visualize_blender_hq as viz
except ImportError:
print("Error: visualize_blender_hq.py not found in current directory.")
sys.exit(1)
def prepare_task_assets(task, asset_dir):
"""
Prepare assets metadata (Simplified version from end_to_end_pipeline.py)
Does not depend on torch/clip.
"""
if "layout_criteria" not in task:
task["layout_criteria"] = "the layout should follow the task description and adhere to common sense"
all_data = collections.defaultdict(list)
for original_uid in task["assets"].keys():
parts = original_uid.split('-')
if len(parts) > 1 and parts[-1].isdigit():
uid = '-'.join(parts[:-1])
else:
uid = original_uid
data_path = os.path.join(asset_dir, uid, "data.json")
if not os.path.exists(data_path):
if os.path.exists(os.path.join(asset_dir, original_uid, "data.json")):
uid = original_uid
data_path = os.path.join(asset_dir, uid, "data.json")
else:
continue
with open(data_path, "r") as f:
data = json.load(f)
data['path'] = os.path.join(asset_dir, uid, f"{uid}.glb")
all_data[uid].append(data)
category_count = collections.defaultdict(int)
for uid, duplicated_assets in all_data.items():
if not duplicated_assets: continue
category_var_name = duplicated_assets[0]['annotations']['category']
category_var_name = category_var_name.replace('-', "_").replace(" ", "_").replace("'", "_").replace("/", "_").replace(",", "_").lower()
category_count[category_var_name] += 1
new_assets = {}
category_idx = collections.defaultdict(int)
for uid, duplicated_assets in all_data.items():
if not duplicated_assets: continue
category_var_name = duplicated_assets[0]['annotations']['category']
category_var_name = category_var_name.replace('-', "_").replace(" ", "_").replace("'", "_").replace("/", "_").replace(",", "_").lower()
category_idx[category_var_name] += 1
for instance_idx, data in enumerate(duplicated_assets):
category_var_name_final = f"{category_var_name}_{chr(ord('A') + category_idx[category_var_name]-1)}" if category_count[category_var_name] > 1 else category_var_name
var_name = f"{category_var_name_final}_{instance_idx}" if len(duplicated_assets) > 1 else category_var_name_final
key = f"{category_var_name_final}-{instance_idx}"
new_assets[key] = {
"uid": uid,
"count": len(duplicated_assets),
"instance_var_name": var_name,
"asset_var_name": category_var_name_final,
"instance_idx": instance_idx,
"annotations": data["annotations"],
"category": data["annotations"]["category"],
'description': data['annotations']['description'],
'path': data['path'],
'assetMetadata': {
"boundingBox": {
"x": float(data['assetMetadata']['boundingBox']['y']),
"y": float(data['assetMetadata']['boundingBox']['x']),
"z": float(data['assetMetadata']['boundingBox']['z'])
},
}
}
task["assets"] = new_assets
return task
def process_dataset(results_dir, asset_dir, views=['topdown', 'diagonal'],
engine='CYCLES', width=1600, height=900, samples=256):
"""Process all samples in a results directory"""
print(f"Processing dataset: {results_dir}")
samples = sorted([d for d in os.listdir(results_dir) if d.startswith('sample_')])
for sample_name in tqdm(samples):
sample_dir = os.path.join(results_dir, sample_name)
scene_config_path = os.path.join(sample_dir, 'scene_config.json')
layout_path = os.path.join(sample_dir, 'layout.json')
# Skip if layout doesn't exist
if not os.path.exists(layout_path):
continue
# Skip if already rendered (check one view)
if os.path.exists(os.path.join(sample_dir, f'render_{views[0]}.png')):
continue
try:
# 1. Load scene config
with open(scene_config_path, 'r') as f:
scene_config = json.load(f)
# 2. Prepare assets (map UIDs to category-index keys)
scene_config = prepare_task_assets(scene_config, asset_dir)
# 3. Load layout
with open(layout_path, 'r') as f:
layout = json.load(f)
# 4. Construct scene object for visualizer
scene_objects = []
for key, transform in layout.items():
if key not in scene_config['assets']:
continue
asset_info = scene_config['assets'][key]
# Convert rotation from radians to degrees
rot_rad = transform.get('rotation', [0, 0, 0])
rot_deg = [math.degrees(r) for r in rot_rad]
# Get size from bounding box
bbox = asset_info['assetMetadata']['boundingBox']
size = [bbox['x'], bbox['y'], bbox['z']]
obj_data = {
'id': key,
'model_id': asset_info['uid'],
'category': asset_info['category'],
'position': transform.get('position', [0, 0, 0]),
'rotation': rot_deg,
'size': size
}
scene_objects.append(obj_data)
scene_for_viz = {
'boundary': scene_config.get('boundary', {}).get('floor_vertices', []),
'assets': scene_objects
}
if not scene_for_viz['boundary'] and 'boundary' in scene_config:
if isinstance(scene_config['boundary'], dict):
scene_for_viz['boundary'] = scene_config['boundary'].get('floor_vertices', [])
# 5. Render views
for view in views:
output_path = os.path.join(sample_dir, f'render_{view}.png')
# Map view names
viz_view = view
if view == 'topdown': viz_view = 'topdown'
elif view == 'top': viz_view = 'topdown'
viz.render_scene(
scene_for_viz,
output_path=output_path,
asset_dir=asset_dir,
view=viz_view,
engine=engine,
width=width,
height=height,
samples=samples,
# Use high-quality defaults
sun_intensity=3.5,
ambient_intensity=1.0,
use_fill_lights=True,
fill_intensity=0.5,
auto_crop=True,
crop_padding=10,
)
except Exception as e:
print(f"Error processing {sample_name}: {e}")
import traceback
traceback.print_exc()
def main():
parser = argparse.ArgumentParser(description='High-Quality Batch Rendering')
parser.add_argument('--asset_dir', required=True, help='3D assets directory')
parser.add_argument('--results_dir', default=None, help='Results directory (default: both zones and bench)')
parser.add_argument('--engine', default='CYCLES', choices=['CYCLES', 'BLENDER_EEVEE', 'BLENDER_EEVEE_NEXT'])
parser.add_argument('--width', type=int, default=1600)
parser.add_argument('--height', type=int, default=900)
parser.add_argument('--samples', type=int, default=256)
parser.add_argument('--views', nargs='+', default=['topdown', 'diagonal'],
help='Views to render (topdown, diagonal, diagonal2, diagonal3, diagonal4, side_front, etc.)')
args = parser.parse_args()
asset_dir = os.path.expanduser(args.asset_dir)
if args.results_dir:
process_dataset(args.results_dir, asset_dir, args.views,
engine=args.engine, width=args.width,
height=args.height, samples=args.samples)
else:
# Default: process both datasets
print("Processing Zones Test 1000...")
process_dataset('results/zones_test_1000', asset_dir, args.views,
engine=args.engine, width=args.width,
height=args.height, samples=args.samples)
print("Processing Bench Test 700...")
process_dataset('results/bench_test_700', asset_dir, args.views,
engine=args.engine, width=args.width,
height=args.height, samples=args.samples)
if __name__ == "__main__":
main()
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