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ultralytics · Feb 29, 2024 · bd9c235 · bd9c235
1 parent 5399154
commit bd9c235
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Showing 6 changed files with 11 additions and 6 deletions.
diff --git a/docs/build_docs.py b/docs/build_docs.py
@@ -23,6 +23,7 @@
 Note:
 - This script is built to be run in an environment where Python and MkDocs are installed and properly configured.
 """
+
 import os
 import re
 import shutil

diff --git a/ultralytics/data/explorer/gui/dash.py b/ultralytics/data/explorer/gui/dash.py
@@ -144,9 +144,9 @@ def run_sql_query():
 def run_ai_query():
     """Execute SQL query and update session state with query results."""
     if not SETTINGS["openai_api_key"]:
-        st.session_state[
-            "error"
-        ] = 'OpenAI API key not found in settings. Please run yolo settings openai_api_key="..."'
+        st.session_state["error"] = (
+            'OpenAI API key not found in settings. Please run yolo settings openai_api_key="..."'
+        )
         return
     st.session_state["error"] = None
     query = st.session_state.get("ai_query")

diff --git a/ultralytics/engine/exporter.py b/ultralytics/engine/exporter.py
@@ -48,6 +48,7 @@
     $ ln -s ../../yolov5/yolov8n_web_model public/yolov8n_web_model
     $ npm start
 """
+
 import json
 import os
 import shutil
@@ -1079,9 +1080,9 @@ def _pipeline_coreml(self, model, weights_dir=None, prefix=colorstr("CoreML Pipe
         model = ct.models.MLModel(pipeline.spec, weights_dir=weights_dir)
         model.input_description["image"] = "Input image"
         model.input_description["iouThreshold"] = f"(optional) IOU threshold override (default: {nms.iouThreshold})"
-        model.input_description[
-            "confidenceThreshold"
-        ] = f"(optional) Confidence threshold override (default: {nms.confidenceThreshold})"
+        model.input_description["confidenceThreshold"] = (
+            f"(optional) Confidence threshold override (default: {nms.confidenceThreshold})"
+        )
         model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
         model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
         LOGGER.info(f"{prefix} pipeline success")

diff --git a/ultralytics/engine/predictor.py b/ultralytics/engine/predictor.py
@@ -27,6 +27,7 @@
                               yolov8n_edgetpu.tflite     # TensorFlow Edge TPU
                               yolov8n_paddle_model       # PaddlePaddle
 """
+
 import platform
 import threading
 from pathlib import Path

diff --git a/ultralytics/engine/tuner.py b/ultralytics/engine/tuner.py
@@ -16,6 +16,7 @@
     model.tune(data='coco8.yaml', epochs=10, iterations=300, optimizer='AdamW', plots=False, save=False, val=False)
     ```
 """
+
 import random
 import shutil
 import subprocess

diff --git a/ultralytics/engine/validator.py b/ultralytics/engine/validator.py
@@ -18,6 +18,7 @@
                           yolov8n_edgetpu.tflite     # TensorFlow Edge TPU
                           yolov8n_paddle_model       # PaddlePaddle
 """
+
 import json
 import time
 from pathlib import Path