Runtime fallback: install local detectron2 if import fails (no build isolation)

mvp.py

@@ -25,6 +25,9 @@ import tempfile
 import contextlib
 from huggingface_hub import hf_hub_download
 
+# Import CropFormer runner for direct inference
+from exts import cropformer_runner
+
 try:
     import gdown
 except Exception:
@@ -51,6 +54,9 @@ REPO_ROOT = os.path.dirname(os.path.abspath(__file__))
 sys.path.append(os.path.join(REPO_ROOT, "vggt"))
 MK_PATH = os.path.join(REPO_ROOT, "MaskClustering")
 
+# Initialize CropFormer paths for in-process inference
+cropformer_runner.make_cropformer_dir(MK_PATH)
+
 
 
 # Writable workdir (HF Spaces: prefer /tmp)
@@ -621,50 +627,26 @@ def reconstruct(
     root_input_dir = os.path.dirname(target_dir)
     seq_name = os.path.basename(target_dir)
     try:
-        print(sys.path, os.environ["PYTHONPATH"])
-        subprocess.run(
-            [
-                sys.executable,
-                os.path.join(
-                    MK_PATH,
-                    "third_party",
-                    "detectron2",
-                    "projects",
-                    "CropFormer",
-                    "demo_cropformer",
-                    "mask_predict.py",
-                ),
-                "--config-file",
-                os.path.join(
-                    MK_PATH,
-                    "third_party",
-                    "detectron2",
-                    "projects",
-                    "CropFormer",
-                    "configs",
-                    "entityv2",
-                    "entity_segmentation",
-                    "mask2former_hornet_3x.yaml",
-                ),
-                "--root",
-                root_input_dir,
-                "--image_path_pattern",
-                "images/*.jpg",
-                "--dataset",
-                "arkit_gt",
-                "--seq_name_list",
-                seq_name,
-                "--opts",
-                "MODEL.WEIGHTS",
-                os.path.join(MK_PATH, cropformer_name),
-            ],
-            check=True,
-            env={
-                **os.environ,
-                # Use installed detectron2; avoid shadowing it with partial local tree
-                "PYTHONPATH": MK_PATH
-                + (os.pathsep + os.environ["PYTHONPATH"] if os.environ.get("PYTHONPATH") else ""),
-            },
+        # Run CropFormer inference directly (without subprocess)
+        config_file = os.path.join(
+            MK_PATH,
+            "third_party",
+            "detectron2",
+            "projects",
+            "CropFormer",
+            "configs",
+            "entityv2",
+            "entity_segmentation",
+            "mask2former_hornet_3x.yaml",
+        )
+        cropformer_runner.run_cropformer_mask_predict(
+            config_file=config_file,
+            root=root_input_dir,
+            image_path_pattern="images/*.jpg",
+            dataset="arkit_gt",
+            seq_name_list=seq_name,
+            confidence_threshold=0.5,
+            opts=["MODEL.WEIGHTS", os.path.join(MK_PATH, cropformer_name)],
         )
 
         subprocess.run(