Add Ultralytics HUB to README (#10070)

* Add Ultralytics HUB section to README @pderrenger @kalenmike @AlanDimmer @AyushExel new Ultralytics HUB section in YOLOv5 README. Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.md @AlanDimmer @kalenmike new integrations image Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update tutorial.ipynb Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update tutorial.ipynb Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update tutorial.ipynb Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README_cn.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2022-11-11 00:21:29 +01:00
1 parent 078059c5b3
commit 55e9516846
@@ -144,47 +144,40 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  -

 </details>

-## <div align="center">环境</div>

-使用经过我们验证的环境，几秒钟就可以开始。点击下面的每个图标了解详情。
+## <div align="center">Integrations</div>
+
+<br>
+<a align="center" href="https://bit.ly/ultralytics_hub" target="_blank">
+<img width="100%" src="https://github.com/ultralytics/assets/raw/master/im/integrations-loop.png"></a>
+<br>
+<br>

 <div align="center">
-    <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-colab-small.png" width="15%"/>
-    </a>
-    <a href="https://www.kaggle.com/ultralytics/yolov5">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-kaggle-small.png" width="15%"/>
-    </a>
-    <a href="https://hub.docker.com/r/ultralytics/yolov5">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-docker-small.png" width="15%"/>
-    </a>
-    <a href="https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-aws-small.png" width="15%"/>
-    </a>
-    <a href="https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gcp-small.png" width="15%"/>
-    </a>
-</div>
-
-## <div align="center">如何与第三方集成</div>
-
-<div align="center">
-  <a href="https://bit.ly/yolov5-deci-platform">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-deci.png" width="10%" /></a>
-  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="14%" height="0" alt="" />
-  <a href="https://cutt.ly/yolov5-readme-clearml">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-clearml.png" width="10%" /></a>
-  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="14%" height="0" alt="" />
  <a href="https://roboflow.com/?ref=ultralytics">
    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-roboflow.png" width="10%" /></a>
-  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="14%" height="0" alt="" />
-  <a href="https://wandb.ai/site?utm_campaign=repo_yolo_readme">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-wb.png" width="10%" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="15%" height="0" alt="" />
+  <a href="https://cutt.ly/yolov5-readme-clearml">
+    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-clearml.png" width="10%" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="15%" height="0" alt="" />
+  <a href="https://bit.ly/yolov5-readme-comet">
+    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-comet.png" width="10%" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="15%" height="0" alt="" />
+  <a href="https://bit.ly/yolov5-deci-platform">
+    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-deci.png" width="10%" /></a>
 </div>

-|Deci ⭐ NEW|ClearML ⭐ NEW|Roboflow|Weights & Biases
+|Roboflow|ClearML ⭐ NEW|Comet ⭐ NEW|Deci ⭐ NEW|
 |:-:|:-:|:-:|:-:|
-|在[Deci](https://bit.ly/yolov5-deci-platform)一键自动编译和量化YOLOv5以提高推理性能|使用[ClearML](https://cutt.ly/yolov5-readme-clearml) (开源!)自动追踪，可视化，以及远程训练YOLOv5|标记并将您的自定义数据直接导出到YOLOv5后，用[Roboflow](https://roboflow.com/?ref=ultralytics)进行训练 |通过[Weights & Biases](https://wandb.ai/site?utm_campaign=repo_yolo_readme)自动跟踪以及可视化你在云端所有的YOLOv5训练运行情况
+|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-comet) lets you save YOLOv5 models, resume training, and interactively visualise and debug predictions|Automatically compile and quantize YOLOv5 for better inference performance in one click at [Deci](https://bit.ly/yolov5-deci-platform)|
+
+
+## <div align="center">Ultralytics HUB</div>
+
+[Ultralytics HUB](https://bit.ly/ultralytics_hub) is our ⭐ **NEW** no-code solution to visualize datasets, train YOLOv5 🚀 models, and deploy to the real world in a seamless experience. Get started for **Free** now!
+
+<a align="center" href="https://bit.ly/ultralytics_hub" target="_blank">
+<img width="100%" src="https://user-images.githubusercontent.com/107626595/198593785-1463295f-cd43-4dbc-9b96-b6733c5720bf.png"></a>


 ## <div align="center">为什么选择 YOLOv5</div>