Remove pandas from exports table (#16371)

Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/engine/exporter.py

@@ -95,9 +95,7 @@ from ultralytics.utils.torch_utils import TORCH_1_13, get_latest_opset, select_d
 
 
 def export_formats():
-    """YOLOv8 export formats."""
-    import pandas  # scope for faster 'import ultralytics'
-
+    """Ultralytics YOLO export formats."""
     x = [
         ["PyTorch", "-", ".pt", True, True],
         ["TorchScript", "torchscript", ".torchscript", True, True],
@@ -113,7 +111,7 @@ def export_formats():
         ["PaddlePaddle", "paddle", "_paddle_model", True, True],
         ["NCNN", "ncnn", "_ncnn_model", True, True],
     ]
-    return pandas.DataFrame(x, columns=["Format", "Argument", "Suffix", "CPU", "GPU"])
+    return dict(zip(["Format", "Argument", "Suffix", "CPU", "GPU"], zip(*x)))
 
 
 def gd_outputs(gd):

ultralytics/nn/autobackend.py

@@ -398,8 +398,8 @@ class AutoBackend(nn.Module):
             from ultralytics.engine.exporter import export_formats
 
             raise TypeError(
-                f"model='{w}' is not a supported model format. "
-                f"See https://docs.ultralytics.com/modes/predict for help.\n\n{export_formats()}"
+                f"model='{w}' is not a supported model format. Ultralytics supports: {export_formats()['Format']}\n"
+                f"See https://docs.ultralytics.com/modes/predict for help."
             )
 
         # Load external metadata YAML
@@ -653,7 +653,7 @@ class AutoBackend(nn.Module):
         """
         from ultralytics.engine.exporter import export_formats
 
-        sf = list(export_formats().Suffix)  # export suffixes
+        sf = export_formats()["Suffix"]  # export suffixes
         if not is_url(p) and not isinstance(p, str):
             check_suffix(p, sf)  # checks
         name = Path(p).name

ultralytics/utils/benchmarks.py

@@ -85,7 +85,7 @@ def benchmark(
 
     y = []
     t0 = time.time()
-    for i, (name, format, suffix, cpu, gpu) in export_formats().iterrows():  # index, (name, format, suffix, CPU, GPU)
+    for i, (name, format, suffix, cpu, gpu) in enumerate(zip(*export_formats().values())):
         emoji, filename = "❌", None  # export defaults
         try:
             # Checks