Update README.md (#13114)

* Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Auto-format by https://ultralytics.com/actions * Update README.zh-CN.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> --------- Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
ultralytics · Jun 20, 2024 · a5c1cb7 · a5c1cb7
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diff --git a/README.md b/README.md
@@ -185,7 +185,7 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  -
     <img src="https://github.com/ultralytics/assets/raw/main/partners/logo-neuralmagic.png" width="10%" /></a>
 </div>
 
-|                                                           Roboflow                                                           |                                                            ClearML ⭐ NEW                                                            |                                                                        Comet ⭐ NEW                                                                         |                                           Neural Magic ⭐ NEW                                           |
+|                                                           Roboflow                                                           |                                                           ClearML ⭐ NEW                                                            |                                                                        Comet ⭐ NEW                                                                        |                                          Neural Magic ⭐ NEW                                           |
 | :--------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------: |
 | Label and export your custom datasets directly to YOLOv5 for training with [Roboflow](https://roboflow.com/?ref=ultralytics) | Automatically track, visualize and even remotely train YOLOv5 using [ClearML](https://cutt.ly/yolov5-readme-clearml) (open-source!) | Free forever, [Comet](https://bit.ly/yolov5-readme-comet2) lets you save YOLOv5 models, resume training, and interactively visualise and debug predictions | Run YOLOv5 inference up to 6x faster with [Neural Magic DeepSparse](https://bit.ly/yolov5-neuralmagic) |
 
@@ -230,7 +230,7 @@ YOLOv5 has been designed to be super easy to get started and simple to learn. We
 | [YOLOv5s6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s6.pt)            | 1280                  | 44.8                 | 63.7              | 385                          | 8.2                           | 3.6                            | 12.6               | 16.8                   |
 | [YOLOv5m6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5m6.pt)            | 1280                  | 51.3                 | 69.3              | 887                          | 11.1                          | 6.8                            | 35.7               | 50.0                   |
 | [YOLOv5l6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5l6.pt)            | 1280                  | 53.7                 | 71.3              | 1784                         | 15.8                          | 10.5                           | 76.8               | 111.4                  |
-| [YOLOv5x6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x6.pt)<br>+ [TTA] | 1280<br>1536          | 55.0<br>**55.8**     | 72.7<br>**72.7**  | 3136<br>-                    | 26.2<br>-                     | 19.4<br>-                      | 140.7<br>-         | 209.8<br>-             |
+| [YOLOv5x6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x6.pt)<br>+ [TTA] | 1280<br>1536          | 55.0<br>**55.8**     | 72.7<br>**72.7**  | 3136<br>-                  | 26.2<br>-                   | 19.4<br>-                    | 140.7<br>-       | 209.8<br>-           |
 
 <details>
   <summary>Table Notes</summary>

diff --git a/README.zh-CN.md b/README.zh-CN.md
@@ -228,7 +228,7 @@ YOLOv5 超级容易上手，简单易学。我们优先考虑现实世界的结
 | [YOLOv5s6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s6.pt)           | 1280                  | 44.8                 | 63.7              | 385                               | 8.2                                | 3.6                             | 12.6               | 16.8                   |
 | [YOLOv5m6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5m6.pt)           | 1280                  | 51.3                 | 69.3              | 887                               | 11.1                               | 6.8                             | 35.7               | 50.0                   |
 | [YOLOv5l6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5l6.pt)           | 1280                  | 53.7                 | 71.3              | 1784                              | 15.8                               | 10.5                            | 76.8               | 111.4                  |
-| [YOLOv5x6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x6.pt)<br>+[TTA] | 1280<br>1536          | 55.0<br>**55.8**     | 72.7<br>**72.7**  | 3136<br>-                         | 26.2<br>-                          | 19.4<br>-                       | 140.7<br>-         | 209.8<br>-             |
+| [YOLOv5x6](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x6.pt)<br>+[TTA] | 1280<br>1536          | 55.0<br>**55.8**     | 72.7<br>**72.7**  | 3136<br>-                       | 26.2<br>-                        | 19.4<br>-                     | 140.7<br>-       | 209.8<br>-           |
 
 <details>
   <summary>笔记</summary>
@@ -358,8 +358,8 @@ YOLOv5 [release v6.2](https://github.com/ultralytics/yolov5/releases) 带来对
 - **准确性**都在单模型单尺度上计算，数据集使用 [ImageNet-1k](https://www.image-net.org/index.php) 。<br>复现命令 `python classify/val.py --data ../datasets/imagenet --img 224`
 - **推理速度**是使用 100 个推理图像进行平均得到，测试环境使用谷歌 [Colab Pro](https://colab.research.google.com/signup) V100 高 RAM 实例。<br>复现命令 `python classify/val.py --data ../datasets/imagenet --img 224 --batch 1`
 - **模型导出**到 FP32 的 ONNX 和 FP16 的 TensorRT 使用 `export.py` 。<br>复现命令 `python export.py --weights yolov5s-cls.pt --include engine onnx --imgsz 224`
-  </details>
-  </details>
+</details>
+</details>
 
 <details>
   <summary>分类训练示例 &nbsp;<a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/classify/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></summary>

diff --git a/utils/flask_rest_api/README.md b/utils/flask_rest_api/README.md
@@ -28,42 +28,42 @@ The model inference results are returned as a JSON response:
 
 ```json
 [
-  {
-    "class": 0,
-    "confidence": 0.8900438547,
-    "height": 0.9318675399,
-    "name": "person",
-    "width": 0.3264600933,
-    "xcenter": 0.7438579798,
-    "ycenter": 0.5207948685
-  },
-  {
-    "class": 0,
-    "confidence": 0.8440024257,
-    "height": 0.7155083418,
-    "name": "person",
-    "width": 0.6546785235,
-    "xcenter": 0.427829951,
-    "ycenter": 0.6334488392
-  },
-  {
-    "class": 27,
-    "confidence": 0.3771208823,
-    "height": 0.3902671337,
-    "name": "tie",
-    "width": 0.0696444362,
-    "xcenter": 0.3675483763,
-    "ycenter": 0.7991207838
-  },
-  {
-    "class": 27,
-    "confidence": 0.3527112305,
-    "height": 0.1540903747,
-    "name": "tie",
-    "width": 0.0336618312,
-    "xcenter": 0.7814827561,
-    "ycenter": 0.5065554976
-  }
+    {
+        "class": 0,
+        "confidence": 0.8900438547,
+        "height": 0.9318675399,
+        "name": "person",
+        "width": 0.3264600933,
+        "xcenter": 0.7438579798,
+        "ycenter": 0.5207948685
+    },
+    {
+        "class": 0,
+        "confidence": 0.8440024257,
+        "height": 0.7155083418,
+        "name": "person",
+        "width": 0.6546785235,
+        "xcenter": 0.427829951,
+        "ycenter": 0.6334488392
+    },
+    {
+        "class": 27,
+        "confidence": 0.3771208823,
+        "height": 0.3902671337,
+        "name": "tie",
+        "width": 0.0696444362,
+        "xcenter": 0.3675483763,
+        "ycenter": 0.7991207838
+    },
+    {
+        "class": 27,
+        "confidence": 0.3527112305,
+        "height": 0.1540903747,
+        "name": "tie",
+        "width": 0.0336618312,
+        "xcenter": 0.7814827561,
+        "ycenter": 0.5065554976
+    }
 ]
 ```