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4a48212 4ccb60a 4a48212 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 | import argparse
import copy
import csv
import json
import logging
import subprocess
import sys
from datetime import datetime
from pathlib import Path
import yaml
REPO_ROOT = Path(__file__).resolve().parents[1]
if str(REPO_ROOT) not in sys.path:
sys.path.insert(0, str(REPO_ROOT))
from train.train import compute_split_baselines, list_split_batches
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
def _load_yaml(path):
with open(path, "r", encoding="utf-8") as handle:
return yaml.safe_load(handle)
def _write_yaml(path, payload):
path.parent.mkdir(parents=True, exist_ok=True)
with open(path, "w", encoding="utf-8") as handle:
yaml.safe_dump(payload, handle, sort_keys=False)
def _deep_update(target, updates):
for key, value in updates.items():
if isinstance(value, dict) and isinstance(target.get(key), dict):
_deep_update(target[key], value)
else:
target[key] = value
def _slugify(name):
return "".join(ch if ch.isalnum() or ch in "-_" else "_" for ch in name)
def _to_jsonable(value):
if isinstance(value, dict):
return {key: _to_jsonable(item) for key, item in value.items()}
if isinstance(value, (list, tuple)):
return [_to_jsonable(item) for item in value]
if hasattr(value, "tolist"):
return value.tolist()
return value
def _run_command(command, log_path, cwd):
log_path.parent.mkdir(parents=True, exist_ok=True)
logging.info("Running: %s", " ".join(command))
with open(log_path, "w", encoding="utf-8") as handle:
process = subprocess.run(command, cwd=cwd, stdout=handle, stderr=subprocess.STDOUT, text=True)
return process.returncode
def _write_summary_csv(path, rows):
path.parent.mkdir(parents=True, exist_ok=True)
fieldnames = [
"experiment",
"status",
"weights_path",
"model_miou",
"model_mf1",
"majority_miou",
"majority_mf1",
"hard_vote_miou",
"hard_vote_mf1",
"anyview_miou",
"anyview_mf1",
"metrics_path",
"log_test",
]
with open(path, "w", encoding="utf-8", newline="") as handle:
writer = csv.DictWriter(handle, fieldnames=fieldnames)
writer.writeheader()
for row in rows:
writer.writerow({key: row.get(key, "") for key in fieldnames})
def build_eval_config(base_config, experiment, output_root, defaults=None):
cfg = copy.deepcopy(base_config)
_deep_update(cfg, experiment.get("overrides", {}))
defaults = defaults or {}
cfg.setdefault("data", {})
cfg["data"].setdefault("split_roots", {})
for split_name in ("train", "val", "test"):
split_key = f"{split_name}_batches_root"
split_root = experiment.get(split_key, defaults.get(split_key))
if split_root:
cfg["data"]["split_roots"][split_name] = str(split_root)
cfg.setdefault("training", {})
cfg.setdefault("test", {})
cfg["training"]["compute_validation_baselines"] = False
cfg["training"]["output_dir"] = str(output_root / "eval_runs" / _slugify(experiment["name"]))
return cfg
def build_test_command(config_path, weights_path, split_name, metrics_output, limit_files=None):
command = [
sys.executable,
"main.py",
"--config",
str(config_path),
"--mode",
"test",
"--weights_path",
str(weights_path),
"--split",
split_name,
"--metrics_output",
str(metrics_output),
]
if limit_files is not None:
command.extend(["--limit_files", str(int(limit_files))])
return command
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--base-config", default="configs/config_deepchoice_base.yaml")
parser.add_argument("--plan", default="experiments/val_full_plan.yaml")
parser.add_argument("--output-root", default=None)
parser.add_argument("--continue-on-error", action="store_true")
args = parser.parse_args()
repo_root = REPO_ROOT
base_config = _load_yaml(repo_root / args.base_config) if not Path(args.base_config).is_absolute() else _load_yaml(args.base_config)
plan = _load_yaml(repo_root / args.plan) if not Path(args.plan).is_absolute() else _load_yaml(args.plan)
output_root = Path(args.output_root) if args.output_root else repo_root / "artifacts" / "experiments" / datetime.now().strftime("val_full_%Y%m%d_%H%M%S")
output_root.mkdir(parents=True, exist_ok=True)
defaults = plan.get("defaults", {})
split_name = defaults.get("split", "val")
limit_files = defaults.get("limit_files")
summary_rows = []
baseline_cfg = copy.deepcopy(base_config)
baseline_cfg.setdefault("data", {})
baseline_cfg["data"].setdefault("split_roots", {})
val_batches_root = defaults.get("val_batches_root")
if val_batches_root:
baseline_cfg["data"]["split_roots"]["val"] = str(val_batches_root)
baseline_paths = list_split_batches(baseline_cfg, split_name, limit=limit_files)
baselines = compute_split_baselines(
baseline_cfg,
paths=baseline_paths,
file_batch_size=baseline_cfg.get("test", {}).get("file_batch_size", baseline_cfg["training"].get("eval_file_batch_size", 1)),
desc=f"Computing {split_name} baselines",
)
baseline_path = output_root / "metrics" / f"baselines_{split_name}.json"
baseline_path.parent.mkdir(parents=True, exist_ok=True)
baseline_path.write_text(json.dumps(_to_jsonable(baselines), indent=2), encoding="utf-8")
summary_rows.append(
{
"experiment": f"baseline_{split_name}",
"status": "ok",
"majority_miou": baselines["majority"]["miou"],
"majority_mf1": baselines["majority"]["mf1"],
"hard_vote_miou": baselines["hard_vote"]["miou"],
"hard_vote_mf1": baselines["hard_vote"]["mf1"],
"anyview_miou": baselines["anyview"]["miou"],
"anyview_mf1": baselines["anyview"]["mf1"],
"metrics_path": str(baseline_path),
}
)
for experiment in plan.get("experiments", []):
exp_name = experiment["name"]
weights_path = Path(experiment["weights_path"])
config_path = output_root / "configs" / f"{_slugify(exp_name)}.yaml"
test_log = output_root / "logs" / f"{_slugify(exp_name)}__test.log"
metrics_path = output_root / "metrics" / f"{_slugify(exp_name)}__test.json"
row = {
"experiment": exp_name,
"status": "pending",
"weights_path": str(weights_path),
"metrics_path": str(metrics_path),
"log_test": str(test_log),
}
try:
cfg = build_eval_config(base_config, experiment, output_root, defaults=defaults)
cfg["training"]["precomputed_validation_baselines"] = _to_jsonable(baselines)
cfg["test"]["precomputed_baselines"] = _to_jsonable(baselines)
_write_yaml(config_path, cfg)
command = build_test_command(config_path, weights_path, split_name, metrics_path, limit_files=limit_files)
rc = _run_command(command, test_log, repo_root)
if rc != 0:
raise RuntimeError(f"Validation failed with return code {rc}")
metrics = json.loads(metrics_path.read_text(encoding="utf-8"))
row["model_miou"] = metrics["miou"]
row["model_mf1"] = metrics["mf1"]
row["majority_miou"] = metrics["baselines"]["majority"]["miou"]
row["majority_mf1"] = metrics["baselines"]["majority"]["mf1"]
row["hard_vote_miou"] = metrics["baselines"]["hard_vote"]["miou"]
row["hard_vote_mf1"] = metrics["baselines"]["hard_vote"]["mf1"]
row["anyview_miou"] = metrics["baselines"]["anyview"]["miou"]
row["anyview_mf1"] = metrics["baselines"]["anyview"]["mf1"]
row["status"] = "ok"
except Exception as exc:
logging.exception("Validation failed: %s", exp_name)
row["status"] = f"failed: {exc}"
summary_rows.append(row)
_write_summary_csv(output_root / "summary.csv", summary_rows)
(output_root / "summary.json").write_text(json.dumps(_to_jsonable(summary_rows), indent=2), encoding="utf-8")
if not args.continue_on_error:
raise
continue
summary_rows.append(row)
_write_summary_csv(output_root / "summary.csv", summary_rows)
(output_root / "summary.json").write_text(json.dumps(_to_jsonable(summary_rows), indent=2), encoding="utf-8")
logging.info("Validation experiment run complete. Summary written under %s", output_root)
if __name__ == "__main__":
main()
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