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install sam2 the way facebook says

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Scott Register
2025-07-26 08:14:35 -07:00
parent 8f9f021f96
commit 032ea9da4b
8 changed files with 102 additions and 90 deletions
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85
test_installation.py
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@@ -71,47 +71,62 @@ except ImportError as e:
# Check SAM2 models
print("\n🔍 Checking SAM2 models...")
models_dir = Path("models")
sam2_checkpoints_dir = Path("segment-anything-2/checkpoints")
models_dir = Path("models") # Legacy location
sam2_models = {
"sam2_hiera_large.pt": "Original SAM2 Large",
"sam2.1_hiera_tiny.pt": "SAM2.1 Tiny",
"sam2.1_hiera_small.pt": "SAM2.1 Small",
"sam2.1_hiera_base_plus.pt": "SAM2.1 Base+",
"sam2.1_hiera_large.pt": "SAM2.1 Large (recommended)",
"sam2_hiera_base.pt": "SAM2 Base",
"sam2.1_hiera_base.pt": "SAM2.1 Base"
"sam2_hiera_tiny.pt": "SAM2 Tiny",
"sam2_hiera_small.pt": "SAM2 Small",
"sam2_hiera_base_plus.pt": "SAM2 Base+",
"sam2_hiera_large.pt": "SAM2 Large"
}
found_models = []
for model_file, model_name in sam2_models.items():
model_path = models_dir / model_file
if model_path.exists():
size_mb = model_path.stat().st_size / (1024 * 1024)
# Check SAM2 repo location first
sam2_path = sam2_checkpoints_dir / model_file
legacy_path = models_dir / model_file
if sam2_path.exists():
size_mb = sam2_path.stat().st_size / (1024 * 1024)
print(f"✅ {model_name}: {model_file} ({size_mb:.1f} MB)")
found_models.append(model_file)
found_models.append((model_file, str(sam2_path)))
elif legacy_path.exists():
size_mb = legacy_path.stat().st_size / (1024 * 1024)
print(f"✅ {model_name}: {model_file} ({size_mb:.1f} MB) [legacy location]")
found_models.append((model_file, str(legacy_path)))
if not found_models:
print("❌ No SAM2 models found!")
issues.append("No SAM2 models found - run setup script or download manually")
else:
print(f"\n💡 Recommended config for best model found:")
if "sam2.1_hiera_large.pt" in found_models:
# Prioritize SAM2.1 models
if any("sam2.1_hiera_large.pt" in model[0] for model in found_models):
best_model = next(model for model in found_models if "sam2.1_hiera_large.pt" in model[0])
print(" sam2_model_cfg: 'sam2.1_hiera_l'")
print(" sam2_checkpoint: 'models/sam2.1_hiera_large.pt'")
elif "sam2_hiera_large.pt" in found_models:
print(f" sam2_checkpoint: '{best_model[1]}'")
elif any("sam2.1_hiera_base_plus.pt" in model[0] for model in found_models):
best_model = next(model for model in found_models if "sam2.1_hiera_base_plus.pt" in model[0])
print(" sam2_model_cfg: 'sam2.1_hiera_base_plus'")
print(f" sam2_checkpoint: '{best_model[1]}'")
elif any("sam2_hiera_large.pt" in model[0] for model in found_models):
best_model = next(model for model in found_models if "sam2_hiera_large.pt" in model[0])
print(" sam2_model_cfg: 'sam2_hiera_l'")
print(" sam2_checkpoint: 'models/sam2_hiera_large.pt'")
print(f" sam2_checkpoint: '{best_model[1]}'")
# Check SAM2 configs
print("\n🔍 Checking SAM2 config files...")
configs_dir = Path("sam2_configs")
if configs_dir.exists():
config_files = list(configs_dir.glob("*.yaml"))
if config_files:
print(f"✅ Found {len(config_files)} SAM2 config files")
else:
print("❌ No SAM2 config files found")
issues.append("SAM2 config files missing - may cause model loading errors")
else:
print("❌ sam2_configs directory not found")
issues.append("SAM2 configs directory missing")
# Check SAM2 configs (now part of installed package)
print("\n🔍 Checking SAM2 configuration...")
try:
import sam2.sam2_configs
print("✅ SAM2 configs available in installed package")
except ImportError:
print("❌ SAM2 configs not found")
issues.append("SAM2 configs not available - SAM2 may not be properly installed")
# Test model loading if possible
if not any("SAM2 not installed" in issue for issue in issues):
@@ -119,6 +134,22 @@ if not any("SAM2 not installed" in issue for issue in issues):
try:
# Try to load the default model config
from vr180_matting.config import VR180Config
# Use the best available model
if found_models:
best_model = found_models[0] # Use first found model (prioritized)
sam2_checkpoint = best_model[1]
if "sam2.1_hiera_large.pt" in best_model[0]:
sam2_cfg = "sam2.1_hiera_l"
elif "sam2.1_hiera_base_plus.pt" in best_model[0]:
sam2_cfg = "sam2.1_hiera_base_plus"
elif "sam2_hiera_large.pt" in best_model[0]:
sam2_cfg = "sam2_hiera_l"
else:
sam2_cfg = "sam2.1_hiera_l"
else:
sam2_cfg = "sam2.1_hiera_l"
sam2_checkpoint = "segment-anything-2/checkpoints/sam2.1_hiera_large.pt"
config = VR180Config(
input=type('obj', (object,), {'video_path': 'test.mp4'})(),
processing=type('obj', (object,), {'scale_factor': 0.5, 'chunk_size': 900, 'overlap_frames': 60})(),
@@ -127,8 +158,8 @@ if not any("SAM2 not installed" in issue for issue in issues):
'use_disparity_mapping': True,
'memory_offload': True,
'fp16': True,
'sam2_model_cfg': 'sam2.1_hiera_l' if Path('models/sam2.1_hiera_large.pt').exists() else 'sam2_hiera_l',
'sam2_checkpoint': 'models/sam2.1_hiera_large.pt' if Path('models/sam2.1_hiera_large.pt').exists() else 'models/sam2_hiera_large.pt'
'sam2_model_cfg': sam2_cfg,
'sam2_checkpoint': sam2_checkpoint
})(),
output=type('obj', (object,), {'path': 'output/', 'format': 'alpha', 'background_color': [0, 255, 0], 'maintain_sbs': True})(),
hardware=type('obj', (object,), {'device': 'cuda' if torch.cuda.is_available() else 'cpu', 'max_vram_gb': 10})()