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import os
import sys
import tempfile
import zipfile
import json
import random
import math
import csv
from pathlib import Path
from datetime import datetime
import time
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
script_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'scripts')
sys.path.insert(0, script_dir)
try:
from pipeline import (
generate_counterfactuals,
generate_base_scene,
save_scene,
render_scene,
create_patched_render_script,
IMAGE_COUNTERFACTUALS,
NEGATIVE_COUNTERFACTUALS
)
try:
import sys
script_dir = os.path.dirname(os.path.abspath(__file__))
scripts_path = os.path.join(script_dir, 'scripts')
if scripts_path not in sys.path:
sys.path.insert(0, scripts_path)
from generate_questions_mapping import (
load_scene,
generate_question_for_scene as _generate_question_for_scene_file,
answer_question_for_scene,
generate_mapping_with_questions
)
except ImportError:
def load_scene(scene_file):
with open(scene_file, 'r') as f:
return json.load(f)
def answer_question_for_scene(question, scene):
objects = scene.get('objects', [])
return len(objects)
_generate_question_for_scene_file = None
generate_mapping_with_questions = None
PIPELINE_AVAILABLE = True
except ImportError as e:
print(f"Warning: Error importing pipeline functions: {e}")
PIPELINE_AVAILABLE = False
answer_question_for_scene = None
load_scene = None
_generate_question_for_scene_file = None
st.set_page_config(
page_title="Counterfactual Image Generator",
page_icon="🎨",
layout="wide",
initial_sidebar_state="expanded"
)
st.markdown("""
<style>
.main-header {
font-size: 2.5rem;
font-weight: bold;
color: #1f77b4;
text-align: center;
margin-bottom: 2rem;
}
.stButton>button {
width: 100%;
height: 3.5rem;
font-size: 1.2rem;
font-weight: bold;
background-color: #1f77b4;
color: white;
border-radius: 0.5rem;
}
.stButton>button:hover {
background-color: #1565c0;
}
.info-box {
padding: 1rem;
border-radius: 0.5rem;
background-color: #f0f2f6;
margin: 1rem 0;
}
</style>
""", unsafe_allow_html=True)
def create_zip_file(output_dir, zip_path):
with zipfile.ZipFile(zip_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
for root, dirs, files in os.walk(output_dir):
for file in files:
file_path = os.path.join(root, file)
arcname = os.path.relpath(file_path, output_dir)
zipf.write(file_path, arcname)
def generate_fallback_scene(num_objects, scene_idx):
script_dir = os.path.dirname(os.path.abspath(__file__))
props_path = os.path.join(script_dir, 'data', 'properties.json')
try:
with open(props_path, 'r') as f:
properties = json.load(f)
except:
properties = {
'shapes': {'cube': 'SmoothCube_v2', 'sphere': 'Sphere', 'cylinder': 'SmoothCylinder'},
'colors': {'gray': [87, 87, 87], 'red': [173, 35, 35], 'blue': [42, 75, 215],
'green': [29, 105, 20], 'brown': [129, 74, 25], 'purple': [129, 38, 192],
'cyan': [41, 208, 208], 'yellow': [255, 238, 51]},
'materials': {'rubber': 'Rubber', 'metal': 'MyMetal'},
'sizes': {'large': 0.7, 'small': 0.35}
}
shapes = list(properties['shapes'].keys())
colors = list(properties['colors'].keys())
materials = list(properties['materials'].keys())
sizes = list(properties['sizes'].keys())
scene_num = scene_idx + 1
scene = {
'split': 'fallback',
'image_index': scene_num,
'image_filename': f'scene_{scene_num:04d}_original.png',
'objects': [],
'directions': {
'behind': (0.0, -1.0, 0.0),
'front': (0.0, 1.0, 0.0),
'left': (-1.0, 0.0, 0.0),
'right': (1.0, 0.0, 0.0),
'above': (0.0, 0.0, 1.0),
'below': (0.0, 0.0, -1.0)
}
}
positions = []
min_dist = 0.25
for i in range(num_objects):
max_attempts = 100
placed = False
for attempt in range(max_attempts):
x = random.uniform(-3, 3)
y = random.uniform(-3, 3)
z = random.uniform(0.35, 0.7)
collision = False
size = random.choice(sizes)
r = properties['sizes'][size]
for (px, py, pz, pr) in positions:
dist = math.sqrt((x - px)**2 + (y - py)**2)
if dist < (r + pr + min_dist):
collision = True
break
if not collision:
positions.append((x, y, z, r))
placed = True
break
if not placed:
x = random.uniform(-3, 3)
y = random.uniform(-3, 3)
z = random.uniform(0.35, 0.7)
size = random.choice(sizes)
r = properties['sizes'][size]
positions.append((x, y, z, r))
shape = random.choice(shapes)
color = random.choice(colors)
material = random.choice(materials)
obj = {
'shape': shape,
'size': size,
'material': material,
'3d_coords': [x, y, z],
'rotation': random.uniform(0, 360),
'pixel_coords': [0, 0, 0],
'color': color
}
scene['objects'].append(obj)
return scene
def generate_question_for_scene_dict(scene):
if _generate_question_for_scene_file is None:
objects = scene.get('objects', [])
if len(objects) == 0:
return "How many objects are in the scene?", {}
colors = list(set(obj.get('color') for obj in objects if obj.get('color')))
shapes = list(set(obj.get('shape') for obj in objects if obj.get('shape')))
if colors:
return f"How many {random.choice(colors)} objects are there?", {'color': random.choice(colors)}
else:
return "How many objects are in the scene?", {}
with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as tmp_file:
json.dump(scene, tmp_file)
tmp_path = tmp_file.name
try:
question, params = _generate_question_for_scene_file(tmp_path)
return question, params
finally:
try:
os.unlink(tmp_path)
except:
pass
def generate_counterfactual_scenes(num_scenes, num_objects, min_objects, max_objects, num_counterfactuals,
cf_types, same_cf_type, min_change_score, max_cf_attempts, min_noise_level,
output_dir, blender_path=None, use_gpu=0, samples=512,
width=320, height=240, skip_render=False, generate_questions=False,
semantic_only=False, negative_only=False):
if not PIPELINE_AVAILABLE:
return {
'success': False,
'error': 'Pipeline functions not available. Please ensure pipeline.py is accessible.'
}
scenes_dir = os.path.join(output_dir, 'scenes')
images_dir = os.path.join(output_dir, 'images')
os.makedirs(scenes_dir, exist_ok=True)
os.makedirs(images_dir, exist_ok=True)
script_dir = os.path.dirname(os.path.abspath(__file__))
cwd = os.getcwd()
import shutil
import time
temp_output_dir = os.path.join(cwd, 'temp_output')
if os.path.exists(temp_output_dir):
for attempt in range(3):
try:
shutil.rmtree(temp_output_dir)
break
except Exception as e:
if attempt < 2:
time.sleep(0.3)
else:
print(f"Warning: Could not remove temp_output after 3 attempts: {e}")
render_patched_path = os.path.join(cwd, 'render_images_patched.py')
if os.path.exists(render_patched_path):
for attempt in range(3):
try:
time.sleep(0.2)
if os.path.exists(render_patched_path):
os.remove(render_patched_path)
break
except Exception as e:
if attempt < 2:
time.sleep(0.3)
else:
print(f"Warning: Could not remove render_images_patched.py after 3 attempts: {e}")
blender_available = False
if blender_path is None:
try:
from pipeline import find_blender
blender_path = find_blender()
except:
blender_path = 'blender'
if blender_path and blender_path != 'blender':
blender_available = os.path.exists(blender_path)
else:
try:
import subprocess
test_path = blender_path if blender_path and blender_path != 'blender' else 'blender'
env = os.environ.copy()
result = subprocess.run([test_path, '--version'], capture_output=True, timeout=5, env=env)
blender_available = (result.returncode == 0)
except:
blender_available = False
successful_scenes = 0
successful_renders = 0
error_messages = []
try:
for scene_idx in range(num_scenes):
if num_objects is not None:
scene_num_objects = num_objects
else:
scene_num_objects = random.randint(min_objects, max_objects)
base_scene = None
if blender_available:
scene_error = None
for retry in range(3):
try:
import io
import contextlib
output_buffer = io.StringIO()
with contextlib.redirect_stdout(output_buffer), contextlib.redirect_stderr(output_buffer):
base_scene = generate_base_scene(
scene_num_objects,
blender_path,
scene_idx
)
blender_output = output_buffer.getvalue()
if blender_output and retry == 2:
st.text(f"Blender output for scene {scene_idx + 1} (last 1000 chars):")
st.code(blender_output[-1000:] if len(blender_output) > 1000 else blender_output)
if base_scene and len(base_scene.get('objects', [])) > 0:
break
elif base_scene is None:
if retry == 2:
scene_error = f"generate_base_scene returned None - Blender may have failed (check output above)"
error_messages.append(f"Scene {scene_idx + 1}: {scene_error}")
elif len(base_scene.get('objects', [])) == 0:
if retry == 2:
scene_error = f"Scene has 0 objects - Blender may have hit max_retries (check output above)"
error_messages.append(f"Scene {scene_idx + 1}: {scene_error}")
except FileNotFoundError as e:
scene_error = f"Blender not found: {e}"
error_messages.append(f"Scene {scene_idx + 1}: {scene_error}")
blender_available = False
break
except Exception as e:
import traceback
scene_error = f"Error generating base scene: {str(e)}"
print(f"Error generating base scene (retry {retry + 1}/3): {e}")
print(f" Traceback: {traceback.format_exc()}")
if retry == 2:
full_error = f"Scene {scene_idx + 1}: {scene_error} (Blender path: {blender_path})"
error_messages.append(full_error)
blender_available = False
continue
else:
print(f"Scene {scene_idx + 1} (Blender not available)...")
base_scene = generate_fallback_scene(scene_num_objects, scene_idx)
if not base_scene or len(base_scene.get('objects', [])) == 0:
error_detail = f"Scene {scene_idx + 1}: Failed to generate"
if blender_available:
error_detail += f" (Blender was available at {blender_path} but returned empty scene)"
else:
error_detail += " (Blender not available, fallback scene also failed)"
print(f"Failed to generate scene {scene_idx + 1}")
print(f" Blender available: {blender_available}")
print(f" Blender path: {blender_path}")
print(f" Base scene: {base_scene is not None}")
if base_scene:
print(f" Objects in scene: {len(base_scene.get('objects', []))}")
error_messages.append(error_detail)
continue
successful_scenes += 1
counterfactuals = generate_counterfactuals(
base_scene,
num_counterfactuals=num_counterfactuals,
cf_types=cf_types,
same_cf_type=same_cf_type,
min_change_score=min_change_score,
max_cf_attempts=max_cf_attempts,
min_noise_level='light',
semantic_only=semantic_only,
negative_only=negative_only
)
scene_num = scene_idx + 1
scene_prefix = f"scene_{scene_num:04d}"
base_scene['cf_metadata'] = {
'variant': 'original',
'is_counterfactual': False,
'cf_index': None,
'cf_category': 'original',
'cf_type': None,
'cf_description': None,
'source_scene': scene_prefix,
}
original_scene_path = os.path.join(scenes_dir, f"{scene_prefix}_original.json")
save_scene(base_scene, original_scene_path)
for idx, cf in enumerate(counterfactuals):
cf_name = f"cf{idx+1}"
cf_scene = cf['scene']
cf_scene['cf_metadata'] = {
'variant': cf_name,
'is_counterfactual': True,
'cf_index': idx + 1,
'cf_category': cf.get('cf_category', 'unknown'),
'cf_type': cf.get('type', None),
'cf_description': cf.get('description', None),
'change_score': cf.get('change_score', None),
'change_attempts': cf.get('change_attempts', None),
'source_scene': scene_prefix,
}
cf_scene_path = os.path.join(scenes_dir, f"{scene_prefix}_{cf_name}.json")
save_scene(cf_scene, cf_scene_path)
render_success = 0
total_to_render = len(counterfactuals) + 1
if not skip_render:
if blender_path and blender_available:
original_image_path = os.path.join(images_dir, f"{scene_prefix}_original.png")
if render_scene(
blender_path,
original_scene_path,
original_image_path,
use_gpu=use_gpu,
samples=samples,
width=width,
height=height
):
render_success += 1
for idx, cf in enumerate(counterfactuals):
cf_name = f"cf{idx+1}"
cf_scene_path = os.path.join(scenes_dir, f"{scene_prefix}_{cf_name}.json")
cf_image_path = os.path.join(images_dir, f"{scene_prefix}_{cf_name}.png")
if render_scene(
blender_path,
cf_scene_path,
cf_image_path,
use_gpu=use_gpu,
samples=samples,
width=width,
height=height
):
render_success += 1
if render_success == total_to_render:
successful_renders += 1
else:
print("Blender not available - skipping image rendering. Scene JSON files will still be generated.")
csv_filename = 'image_mapping_with_questions.csv' if generate_questions else 'image_mapping.csv'
csv_path = os.path.join(output_dir, csv_filename)
try:
if generate_mapping_with_questions is not None:
generate_mapping_with_questions(
run_dir=output_dir,
csv_filename=csv_filename,
generate_questions=generate_questions,
with_links=False,
strict_question_validation=True
)
csv_created = os.path.exists(csv_path)
else:
csv_created = False
except Exception:
import traceback
traceback.print_exc()
csv_created = False
scene_files = list(Path(scenes_dir).glob("*.json")) if os.path.exists(scenes_dir) else []
image_files = list(Path(images_dir).glob("*.png")) if os.path.exists(images_dir) else []
statistics = {
'scenes_generated': successful_scenes,
'scenes_rendered': successful_renders,
'total_scene_files': len(scene_files),
'total_image_files': len(image_files),
'num_counterfactuals': num_counterfactuals,
'cf_types_used': cf_types if cf_types else 'default',
'csv_created': csv_created,
'csv_path': csv_path if csv_created else None
}
script_dir = os.path.dirname(os.path.abspath(__file__))
cwd = os.getcwd()
import shutil
import time
temp_output_dir = os.path.join(cwd, 'temp_output')
if os.path.exists(temp_output_dir):
for attempt in range(3):
try:
shutil.rmtree(temp_output_dir)
break
except Exception as e:
if attempt < 2:
time.sleep(0.3)
else:
print(f"Warning: Could not remove temp_output after 3 attempts: {e}")
render_patched_path = os.path.join(cwd, 'render_images_patched.py')
if os.path.exists(render_patched_path):
for attempt in range(3):
try:
time.sleep(0.2)
if os.path.exists(render_patched_path):
os.remove(render_patched_path)
break
except Exception as e:
if attempt < 2:
time.sleep(0.3)
else:
print(f"Warning: Could not remove render_images_patched.py after 3 attempts: {e}")
if successful_scenes == 0 and error_messages:
error_summary = "Scenes failed. Common reasons:\n"
error_summary += "- Blender is not installed or not in PATH\n"
error_summary += "- Blender executable not found\n"
error_summary += f"\nFirst error: {error_messages[0] if error_messages else 'Unknown error'}"
return {
'success': False,
'error': error_summary,
'num_scenes': successful_scenes,
'output_dir': output_dir,
'error_messages': error_messages
}
return {
'success': True,
'num_scenes': successful_scenes,
'output_dir': output_dir,
'statistics': statistics,
'error_messages': error_messages if error_messages else None
}
except Exception as e:
import traceback
error_msg = f"Error: {str(e)}\n{traceback.format_exc()}"
print(error_msg)
return {
'success': False,
'error': error_msg,
'num_scenes': successful_scenes,
'output_dir': output_dir,
'error_messages': error_messages if 'error_messages' in locals() else []
}
def main():
st.markdown('<p class="main-header">Counterfactual Image Generator</p>', unsafe_allow_html=True)
if 'output_dir' not in st.session_state:
st.session_state.output_dir = None
if 'generation_complete' not in st.session_state:
st.session_state.generation_complete = False
with st.sidebar:
st.header("Configuration")
st.subheader("Scene Settings")
num_scenes = st.number_input(
"Number of Scenes",
min_value=1,
max_value=10000,
value=5,
help="Number of scene sets to generate"
)
use_fixed_objects = st.checkbox("Use Fixed Number of Objects", value=True)
if use_fixed_objects:
num_objects = st.number_input(
"Number of Objects per Scene",
min_value=1,
max_value=15,
value=5,
help="Fixed number of objects per scene"
)
min_objects = None
max_objects = None
else:
num_objects = None
min_objects = st.number_input(
"Min Objects per Scene",
min_value=1,
max_value=15,
value=3,
help="Minimum objects per scene"
)
max_objects = st.number_input(
"Max Objects per Scene",
min_value=1,
max_value=15,
value=7,
help="Maximum objects per scene"
)
if min_objects > max_objects:
st.error("Min objects must be <= Max objects")
return
st.subheader("Counterfactual Settings")
num_counterfactuals = st.number_input(
"Number of Counterfactuals",
min_value=1,
max_value=10,
value=2,
help="Number of counterfactual variants per scene"
)
st.markdown("**Counterfactual Types**")
st.caption("Leave all unchecked to use default behavior (1 Image CF + 1 Negative CF)")
semantic_only = st.checkbox(
"Semantic only",
value=False,
help="Generate only Semantic/Image counterfactuals (Change Color, Add Object, etc.); no Negative CFs"
)
negative_only = st.checkbox(
"Negative only",
value=False,
help="Generate only Negative counterfactuals (Change Lighting, Add Noise, Occlusion Change, etc.); no Semantic CFs"
)
same_cf_type = st.checkbox(
"Same CF type for all",
value=False,
help="Use the same counterfactual type for every variant (first selected type, or one random if none selected)"
)
with st.expander("Image CFs (change answers)", expanded=True):
use_change_color = st.checkbox("Change Color", value=False)
use_change_shape = st.checkbox("Change Shape", value=False)
use_change_size = st.checkbox("Change Size", value=False)
use_change_material = st.checkbox("Change Material", value=False)
use_change_position = st.checkbox("Change Position", value=False)
use_add_object = st.checkbox("Add Object", value=False)
use_remove_object = st.checkbox("Remove Object", value=False)
use_replace_object = st.checkbox("Replace Object", value=False)
use_swap_attribute = st.checkbox("Swap Attribute", value=False)
use_relational_flip = st.checkbox("Relational Flip", value=False)
with st.expander("Negative CFs (don't change answers)", expanded=False):
use_change_background = st.checkbox("Change Background", value=False)
use_change_lighting = st.checkbox("Change Lighting", value=False)
use_add_noise = st.checkbox("Add Noise", value=False)
use_occlusion_change = st.checkbox("Occlusion Change", value=False)
use_apply_fisheye = st.checkbox("Apply Fisheye", value=False)
use_apply_blur = st.checkbox("Apply Blur", value=False)
use_apply_vignette = st.checkbox("Apply Vignette", value=False)
use_apply_chromatic_aberration = st.checkbox("Apply Chromatic Aberration", value=False)
with st.expander("Advanced Settings", expanded=False):
min_change_score = st.slider(
"Minimum Change Score",
min_value=0.5,
max_value=5.0,
value=1.0,
step=0.1,
help="Minimum heuristic change score for counterfactuals"
)
max_cf_attempts = st.number_input(
"Max CF Attempts",
min_value=1,
max_value=50,
value=10,
help="Maximum retries per counterfactual"
)
min_noise_level = st.selectbox(
"Min Noise Level (for add_noise CF)",
options=['light', 'medium', 'heavy'],
index=0,
help="Minimum noise level when using add_noise counterfactual"
)
st.markdown("---")
st.markdown("**Rendering Settings**")
use_gpu = st.checkbox("Use GPU Rendering", value=False)
use_gpu_int = 1 if use_gpu else 0
samples = st.number_input(
"Render Samples",
min_value=64,
max_value=2048,
value=512,
step=64,
help="Cycles sampling rate (higher = better quality, slower)"
)
image_width = st.number_input(
"Image Width",
min_value=160,
max_value=1920,
value=320,
step=80
)
image_height = st.number_input(
"Image Height",
min_value=120,
max_value=1080,
value=240,
step=60
)
st.markdown("**CSV Options**")
generate_questions = st.checkbox(
"Generate Questions in CSV",
value=False,
help="Include question and answer columns in the CSV file"
)
cf_types = []
if use_change_color:
cf_types.append('change_color')
if use_change_shape:
cf_types.append('change_shape')
if use_change_size:
cf_types.append('change_size')
if use_change_material:
cf_types.append('change_material')
if use_change_position:
cf_types.append('change_position')
if use_add_object:
cf_types.append('add_object')
if use_remove_object:
cf_types.append('remove_object')
if use_replace_object:
cf_types.append('replace_object')
if use_swap_attribute:
cf_types.append('swap_attribute')
if use_relational_flip:
cf_types.append('relational_flip')
if use_change_background:
cf_types.append('change_background')
if use_change_lighting:
cf_types.append('change_lighting')
if use_add_noise:
cf_types.append('add_noise')
if use_occlusion_change:
cf_types.append('occlusion_change')
if use_apply_fisheye:
cf_types.append('apply_fisheye')
if use_apply_blur:
cf_types.append('apply_blur')
if use_apply_vignette:
cf_types.append('apply_vignette')
if use_apply_chromatic_aberration:
cf_types.append('apply_chromatic_aberration')
if not cf_types:
cf_types = None
col1, col2 = st.columns([2, 1])
with col1:
st.header("Generate Counterfactual Images")
if st.button("Generate Counterfactual", use_container_width=True, key="generate_button"):
st.session_state.generation_complete = False
st.session_state.generating = True
if num_scenes < 1:
st.error("Please specify at least 1 scene to generate.")
return
if use_fixed_objects and num_objects < 1:
st.error("Please specify at least 1 object per scene.")
return
if not use_fixed_objects and (min_objects < 1 or max_objects < 1 or min_objects > max_objects):
st.error("Invalid min/max objects configuration.")
return
if os.path.exists('/tmp'):
base_dir = '/tmp'
else:
base_dir = tempfile.gettempdir()
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
output_dir = os.path.join(base_dir, f"counterfactual_output_{timestamp}")
os.makedirs(output_dir, exist_ok=True)
st.session_state.output_dir = output_dir
import shutil
import time
script_dir = os.path.dirname(os.path.abspath(__file__))
cwd = os.getcwd()
temp_output_dir = os.path.join(cwd, 'temp_output')
if os.path.exists(temp_output_dir):
for attempt in range(3):
try:
shutil.rmtree(temp_output_dir)
break
except Exception as e:
if attempt < 2:
time.sleep(0.3)
else:
print(f"Warning: Could not remove temp_output after 3 attempts: {e}")
render_patched_path = os.path.join(cwd, 'render_images_patched.py')
if os.path.exists(render_patched_path):
for attempt in range(3):
try:
time.sleep(0.2)
if os.path.exists(render_patched_path):
os.remove(render_patched_path)
break
except Exception as e:
if attempt < 2:
time.sleep(0.3)
else:
print(f"Warning: Could not remove render_images_patched.py after 3 attempts: {e}")
try:
from pipeline import create_patched_render_script
create_patched_render_script()
except Exception as e:
st.warning(f"Could not create patched render script: {e}")
params = {
'num_scenes': num_scenes,
'num_objects': num_objects,
'num_counterfactuals': num_counterfactuals,
'cf_types': cf_types if cf_types else None,
'same_cf_type': same_cf_type,
'min_change_score': min_change_score,
'max_cf_attempts': max_cf_attempts,
'width': image_width,
'height': image_height,
'output_dir': output_dir
}
progress_bar = st.progress(0)
status_text = st.empty()
try:
if not PIPELINE_AVAILABLE:
st.error("Pipeline functions are not available. Please check your installation.")
return
status_text.text("Initializing generator...")
progress_bar.progress(10)
if use_fixed_objects:
status_text.text(f"Generating {num_scenes} scenes with {num_objects} objects each...")
else:
status_text.text(f"Generating {num_scenes} scenes with {min_objects}-{max_objects} objects each...")
progress_bar.progress(30)
result = generate_counterfactual_scenes(
num_scenes=num_scenes,
num_objects=num_objects,
min_objects=min_objects,
max_objects=max_objects,
num_counterfactuals=num_counterfactuals,
cf_types=cf_types,
same_cf_type=same_cf_type,
min_change_score=min_change_score,
max_cf_attempts=max_cf_attempts,
min_noise_level=min_noise_level,
output_dir=output_dir,
use_gpu=use_gpu_int,
samples=samples,
width=image_width,
height=image_height,
skip_render=False,
generate_questions=generate_questions,
semantic_only=semantic_only,
negative_only=negative_only
)
progress_bar.progress(80)
status_text.text("Preparing output...")
if result and result.get('success', False):
num_scenes_generated = result.get('num_scenes', 0)
if num_scenes_generated == 0:
st.warning("No scenes were created. Blender is required and is not available in this environment.")
st.info("**To use this application:**\n"
"1. Run it locally with Blender installed\n"
"2. Use the command-line `pipeline.py` script\n"
"3. Install Blender and ensure it's in your system PATH")
st.session_state.generation_complete = False
else:
st.session_state.generation_complete = True
progress_bar.progress(100)
status_text.text("Done.")
st.success(f"Successfully generated {num_scenes_generated} scene sets!")
st.info(f"Output directory: {output_dir}")
if 'statistics' in result and result['statistics'].get('csv_created'):
csv_path = result['statistics'].get('csv_path')
if csv_path:
st.success(f"CSV file created: `{os.path.basename(csv_path)}`")
if 'statistics' in result:
stats = result['statistics']
st.json(stats)
else:
error_msg = result.get('error', 'Unknown error occurred') if result else 'Failed'
st.error(f"Generation failed: {error_msg}")
if 'blender' in error_msg.lower() or 'Blender' in error_msg or result.get('num_scenes', 0) == 0:
st.warning("**Important:** This application requires Blender to generate scenes. Blender is not available on Hugging Face Spaces.")
st.info("**To use this application:**\n"
"1. Run it locally with Blender installed\n"
"2. Use the command-line `pipeline.py` script\n"
"3. Install Blender and ensure it's in your system PATH")
st.session_state.generation_complete = False
st.session_state.generating = False
except Exception as e:
st.error(f"Error during generation: {str(e)}")
st.exception(e)
st.session_state.generation_complete = False
st.session_state.generating = False
progress_bar.progress(0)
status_text.text("Failed")
with col2:
st.header("Output")
if st.session_state.generation_complete and st.session_state.output_dir:
output_dir = st.session_state.output_dir
if os.path.exists(output_dir):
images_dir = os.path.join(output_dir, 'images')
scenes_dir = os.path.join(output_dir, 'scenes')
scene_files = list(Path(scenes_dir).glob("*.json")) if os.path.exists(scenes_dir) else []
image_files = list(Path(images_dir).glob("*.png")) if os.path.exists(images_dir) else []
csv_files = list(Path(output_dir).rglob("*.csv"))
st.success("Complete!")
st.metric("Scene Files", len(scene_files))
st.metric("CSV Files", len(csv_files))
st.metric("Image Files", len(image_files))
if image_files:
st.markdown("---")
st.subheader("Generated Images")
def get_counterfactual_type_from_scene(scene_file):
try:
with open(scene_file, 'r') as f:
scene_data = json.load(f)
cf_metadata = scene_data.get('cf_metadata', {})
cf_type = cf_metadata.get('cf_type', '')
if cf_type:
return cf_type.replace('_', ' ').title()
except Exception as e:
pass
return "Counterfactual"
scene_sets = {}
for img_file in image_files:
filename = img_file.name
if filename.startswith('scene_'):
parts = filename.replace('.png', '').split('_')
if len(parts) >= 3:
scene_num = parts[1]
scene_type = parts[2]
if scene_num not in scene_sets:
scene_sets[scene_num] = {}
scene_sets[scene_num][scene_type] = {
'image_path': str(img_file),
'filename': filename
}
sorted_scenes = sorted(scene_sets.keys())[:3]
for scene_idx, scene_num in enumerate(sorted_scenes):
scene_data = scene_sets[scene_num]
if 'original' not in scene_data:
continue
st.markdown(f"### Scene {scene_num}")
cols = st.columns(3)
with cols[0]:
original = scene_data['original']
st.image(original['image_path'], use_container_width=True, caption="Original")
cf_count = 0
for cf_key in ['cf1', 'cf2']:
if cf_key in scene_data and cf_count < 2:
cf_data = scene_data[cf_key]
cf_scene_file = os.path.join(scenes_dir, cf_data['filename'].replace('.png', '.json'))
cf_type = get_counterfactual_type_from_scene(cf_scene_file) if os.path.exists(cf_scene_file) else f"Counterfactual {cf_count + 1}"
with cols[cf_count + 1]:
st.image(cf_data['image_path'], use_container_width=True, caption=cf_type)
cf_count += 1
if scene_idx < len(sorted_scenes) - 1:
st.markdown("---")
st.markdown("---")
st.subheader("Download Output")
zip_filename = f"counterfactual_output_{datetime.now().strftime('%Y%m%d_%H%M%S')}.zip"
zip_path = os.path.join(tempfile.gettempdir(), zip_filename)
try:
create_zip_file(output_dir, zip_path)
file_size = os.path.getsize(zip_path) / (1024 * 1024)
with open(zip_path, 'rb') as f:
st.download_button(
label=f"Download as ZIP ({file_size:.2f} MB)",
data=f.read(),
file_name=zip_filename,
mime="application/zip",
use_container_width=True
)
with st.expander("Output Structure"):
st.text(f"Output directory: {output_dir}")
if scene_files:
st.text(f"\nScene files: {len(scene_files)}")
st.text("Sample files:")
for f in scene_files[:5]:
st.text(f" - {f.name}")
if csv_files:
st.text(f"\nCSV files: {len(csv_files)}")
for f in csv_files:
st.text(f" - {f.name}")
if image_files:
st.text(f"\nImage files: {len(image_files)}")
st.text("Sample files:")
for f in image_files[:5]:
st.text(f" - {f.name}")
except Exception as e:
st.error(f"Error creating zip file: {str(e)}")
else:
st.warning("Output directory not found.")
else:
st.info("Configure parameters and click 'Generate Counterfactual' to start.")
st.markdown("---")
st.markdown(
"<div style='text-align: center; color: #666; padding: 1rem;'>"
"Counterfactual Image Tool | Built with Streamlit"
"</div>",
unsafe_allow_html=True
)
if __name__ == "__main__":
main()
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