update cli.md for export ncnn model (#3846)

docs/usage/cli.md

@@ -179,6 +179,7 @@ i.e. `format='onnx'` or `format='engine'`.
 | [TF Edge TPU](https://coral.ai/docs/edgetpu/models-intro/)         | `edgetpu`         | `yolov8n_edgetpu.tflite`  | ✅        |
 | [TF.js](https://www.tensorflow.org/js)                             | `tfjs`            | `yolov8n_web_model/`      | ✅        |
 | [PaddlePaddle](https://github.com/PaddlePaddle)                    | `paddle`          | `yolov8n_paddle_model/`   | ✅        |
+| [ncnn](https://github.com/Tencent/ncnn)                            | `ncnn`            | `yolov8n_ncnn_model/`     | ✅        |
 
 ---
 

examples/tutorial.ipynb

@@ -468,7 +468,7 @@
         "| [TensorFlow Edge TPU](https://coral.ai/docs/edgetpu/models-intro/)         | `edgetpu`         | `yolov8n_edgetpu.tflite`  |\n",
         "| [TensorFlow.js](https://www.tensorflow.org/js)                             | `tfjs`            | `yolov8n_web_model/`      |\n",
         "| [PaddlePaddle](https://github.com/PaddlePaddle)                            | `paddle`          | `yolov8n_paddle_model/`   |\n",
-        "| [NCNN](https://github.com/Tencent/ncnn)                                    | `ncnn`            | `yolov8n_ncnn_model/`     |\n"
+        "| [ncnn](https://github.com/Tencent/ncnn)                                    | `ncnn`            | `yolov8n_ncnn_model/`     |\n"
       ],
       "metadata": {
         "id": "nPZZeNrLCQG6"

ultralytics/engine/exporter.py

@@ -16,7 +16,7 @@ TensorFlow Lite         | `tflite`                  | yolov8n.tflite
 TensorFlow Edge TPU     | `edgetpu`                 | yolov8n_edgetpu.tflite
 TensorFlow.js           | `tfjs`                    | yolov8n_web_model/
 PaddlePaddle            | `paddle`                  | yolov8n_paddle_model/
-NCNN                    | `ncnn`                    | yolov8n_ncnn_model/
+ncnn                    | `ncnn`                    | yolov8n_ncnn_model/
 
 Requirements:
     $ pip install ultralytics[export]
@@ -89,7 +89,7 @@ def export_formats():
         ['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite', True, False],
         ['TensorFlow.js', 'tfjs', '_web_model', True, False],
         ['PaddlePaddle', 'paddle', '_paddle_model', True, True],
-        ['NCNN', 'ncnn', '_ncnn_model', True, True], ]
+        ['ncnn', 'ncnn', '_ncnn_model', True, True], ]
     return pandas.DataFrame(x, columns=['Format', 'Argument', 'Suffix', 'CPU', 'GPU'])
 
 
@@ -258,7 +258,7 @@ class Exporter:
                 f[9], _ = self.export_tfjs()
         if paddle:  # PaddlePaddle
             f[10], _ = self.export_paddle()
-        if ncnn:  # NCNN
+        if ncnn:  # ncnn
             f[11], _ = self.export_ncnn()
 
         # Finish
@@ -401,14 +401,14 @@ class Exporter:
         return f, None
 
     @try_export
-    def export_ncnn(self, prefix=colorstr('NCNN:')):
+    def export_ncnn(self, prefix=colorstr('ncnn:')):
         """
-        YOLOv8 NCNN export using PNNX https://github.com/pnnx/pnnx.
+        YOLOv8 ncnn export using PNNX https://github.com/pnnx/pnnx.
         """
-        check_requirements('git+https://github.com/Tencent/ncnn.git' if ARM64 else 'ncnn')  # requires NCNN
+        check_requirements('git+https://github.com/Tencent/ncnn.git' if ARM64 else 'ncnn')  # requires ncnn
         import ncnn  # noqa
 
-        LOGGER.info(f'\n{prefix} starting export with NCNN {ncnn.__version__}...')
+        LOGGER.info(f'\n{prefix} starting export with ncnn {ncnn.__version__}...')
         f = Path(str(self.file).replace(self.file.suffix, f'_ncnn_model{os.sep}'))
         f_ts = str(self.file.with_suffix('.torchscript'))
 

ultralytics/nn/autobackend.py

@@ -264,7 +264,7 @@ class AutoBackend(nn.Module):
             metadata = w.parents[1] / 'metadata.yaml'
         elif ncnn:  # ncnn
             LOGGER.info(f'Loading {w} for ncnn inference...')
-            check_requirements('git+https://github.com/Tencent/ncnn.git' if ARM64 else 'ncnn')  # requires NCNN
+            check_requirements('git+https://github.com/Tencent/ncnn.git' if ARM64 else 'ncnn')  # requires ncnn
             import ncnn as pyncnn
             net = pyncnn.Net()
             net.opt.num_threads = os.cpu_count()