fix(pre_commit): 🎨 auto format pre-commit hooks

models/object_detection/d-fine/results_D‑FINE‑L.json

@@ -65,4 +65,4 @@
         0.8999999999999999,
         0.95
     ]
-}
+}

models/object_detection/d-fine/results_D‑FINE‑M.json

@@ -65,4 +65,4 @@
         0.8999999999999999,
         0.95
     ]
-}
+}

models/object_detection/d-fine/results_D‑FINE‑N.json

@@ -65,4 +65,4 @@
         0.8999999999999999,
         0.95
     ]
-}
+}

models/object_detection/d-fine/results_D‑FINE‑S.json

@@ -65,4 +65,4 @@
         0.8999999999999999,
         0.95
     ]
-}
+}

models/object_detection/d-fine/results_D‑FINE‑X.json

@@ -65,4 +65,4 @@
         0.8999999999999999,
         0.95
     ]
-}
+}

models/object_detection/d-fine/run.py

@@ -3,7 +3,7 @@
 import sys
 from pathlib import Path
 from typing import List, Optional
-import gc
+
 import supervision as sv
 import torch
 import torch.nn as nn
@@ -149,7 +149,6 @@ def run(
         else:
             raise AttributeError("Only support resume to load model.state_dict by now.")
 
-
         cfg.model.load_state_dict(state)
 
         class Model(nn.Module):
@@ -165,7 +164,6 @@ def forward(self, images, orig_target_sizes):
 
         model = Model().to(DEVICE)
 
-
         predictions = []
         targets = []
         print("Evaluating...")
@@ -192,8 +190,6 @@ def forward(self, images, orig_target_sizes):
         )
 
 
-
-
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument(

static/aggregate_results.js

@@ -2427,4 +2427,4 @@ const results = [
       0.95
     ]
   }
-];
+];