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ultralytics/engine/exporter.py

@@ -1055,9 +1055,10 @@ class Exporter:
     @try_export
     def export_mct(self, prefix=colorstr("Sony MCT:")):
         check_requirements(["model_compression_toolkit==2.1.0", "sony-custom-layers[torch]"])
+        import subprocess
+
         import model_compression_toolkit as mct
         import onnx
-        import subprocess
         from model_compression_toolkit.core.pytorch.pytorch_device_config import get_working_device, set_working_device
         from sony_custom_layers.pytorch.object_detection.nms import multiclass_nms
 
@@ -1113,7 +1114,7 @@ class Exporter:
 
         config = mct.core.CoreConfig(
             mixed_precision_config=mct.core.MixedPrecisionQuantizationConfig(num_of_images=10),
-            quantization_config=mct.core.QuantizationConfig(concat_threshold_update=True)
+            quantization_config=mct.core.QuantizationConfig(concat_threshold_update=True),
         )
 
         resource_utilization = mct.core.ResourceUtilization(weights_memory=3146176 * 0.76)
@@ -1172,7 +1173,9 @@ class Exporter:
             try:
                 subprocess.run(["java", "--version"], check=True)
             except FileNotFoundError:
-                LOGGER.error("Java 17 is required for the imx500 conversion. \n Please install Java with: \n sudo apt install openjdk-17-jdk openjdk-17-jre")
+                LOGGER.error(
+                    "Java 17 is required for the imx500 conversion. \n Please install Java with: \n sudo apt install openjdk-17-jdk openjdk-17-jre"
+                )
                 return None
 
             subprocess.run(["imxconv-pt", "-i", "yolov8n_mct_model.onnx", "-o", "yolov8n_imx500_model"], check=True)

ultralytics/nn/autobackend.py

@@ -178,7 +178,9 @@ class AutoBackend(nn.Module):
 
             providers = ["CUDAExecutionProvider", "CPUExecutionProvider"] if cuda else ["CPUExecutionProvider"]
             if mct:
-                check_requirements(["model_compression_toolkit==2.1.0", "sony-custom-layers[torch]", "onnxruntime-extensions"])
+                check_requirements(
+                    ["model_compression_toolkit==2.1.0", "sony-custom-layers[torch]", "onnxruntime-extensions"]
+                )
                 LOGGER.info(f"Loading {w} for ONNX MCT quantization inference...")
                 import mct_quantizers as mctq
                 from sony_custom_layers.pytorch.object_detection import nms_ort  # noqa