Update GitHub banner redirect (#13542)
* Update README.md Signed-off-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com> * Auto-format by https://ultralytics.com/actions * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Auto-format by https://ultralytics.com/actions * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.zh-CN.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Auto-format by https://ultralytics.com/actions * 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.zh-CN.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> --------- Signed-off-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com> Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@@ -1,7 +1,7 @@
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<div align="center">
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<p>
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<a href="https://www.ultralytics.com/events/yolovision" target="_blank">
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<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"></a>
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<a href="https://www.ultralytics.com/blog/all-you-need-to-know-about-ultralytics-yolo11-and-its-applications" target="_blank">
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<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" alt="Ultralytics YOLO banner"></a>
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</p>
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[中文](https://docs.ultralytics.com/zh) | [한국어](https://docs.ultralytics.com/ko) | [日本語](https://docs.ultralytics.com/ja) | [Русский](https://docs.ultralytics.com/ru) | [Deutsch](https://docs.ultralytics.com/de) | [Français](https://docs.ultralytics.com/fr) | [Español](https://docs.ultralytics.com/es) | [Português](https://docs.ultralytics.com/pt) | [Türkçe](https://docs.ultralytics.com/tr) | [Tiếng Việt](https://docs.ultralytics.com/vi) | [العربية](https://docs.ultralytics.com/ar)
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@@ -107,15 +107,15 @@ results.print() # or .show(), .save(), .crop(), .pandas(), etc.
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```bash
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python detect.py --weights yolov5s.pt --source 0 # webcam
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img.jpg # image
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vid.mp4 # video
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screen # screenshot
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path/ # directory
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list.txt # list of images
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list.streams # list of streams
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'path/*.jpg' # glob
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'https://youtu.be/LNwODJXcvt4' # YouTube
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'rtsp://example.com/media.mp4' # RTSP, RTMP, HTTP stream
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python detect.py --weights yolov5s.pt --source img.jpg # image
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python detect.py --weights yolov5s.pt --source vid.mp4 # video
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python detect.py --weights yolov5s.pt --source screen # screenshot
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python detect.py --weights yolov5s.pt --source path/ # directory
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python detect.py --weights yolov5s.pt --source list.txt # list of images
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python detect.py --weights yolov5s.pt --source list.streams # list of streams
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python detect.py --weights yolov5s.pt --source 'path/*.jpg' # glob
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python detect.py --weights yolov5s.pt --source 'https://youtu.be/LNwODJXcvt4' # YouTube
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python detect.py --weights yolov5s.pt --source 'rtsp://example.com/media.mp4' # RTSP, RTMP, HTTP stream
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```
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</details>
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@@ -127,10 +127,10 @@ The commands below reproduce YOLOv5 [COCO](https://github.com/ultralytics/yolov5
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```bash
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml --batch-size 128
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yolov5s 64
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yolov5m 40
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yolov5l 24
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yolov5x 16
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5s.yaml --batch-size 64
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5m.yaml --batch-size 40
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5l.yaml --batch-size 24
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5x.yaml --batch-size 16
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```
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<img width="800" src="https://user-images.githubusercontent.com/26833433/90222759-949d8800-ddc1-11ea-9fa1-1c97eed2b963.png">
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+15
-15
@@ -1,7 +1,7 @@
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<div align="center">
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<p>
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<a href="https://www.ultralytics.com/events/yolovision" target="_blank">
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<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"></a>
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<a href="https://www.ultralytics.com/blog/all-you-need-to-know-about-ultralytics-yolo11-and-its-applications" target="_blank">
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<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" alt="Ultralytics YOLO banner"></a>
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</p>
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[中文](https://docs.ultralytics.com/zh) | [한국어](https://docs.ultralytics.com/ko) | [日本語](https://docs.ultralytics.com/ja) | [Русский](https://docs.ultralytics.com/ru) | [Deutsch](https://docs.ultralytics.com/de) | [Français](https://docs.ultralytics.com/fr) | [Español](https://docs.ultralytics.com/es) | [Português](https://docs.ultralytics.com/pt) | [Türkçe](https://docs.ultralytics.com/tr) | [Tiếng Việt](https://docs.ultralytics.com/vi) | [العربية](https://docs.ultralytics.com/ar)
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@@ -105,15 +105,15 @@ results.print() # or .show(), .save(), .crop(), .pandas(), etc.
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```bash
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python detect.py --weights yolov5s.pt --source 0 # webcam
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img.jpg # image
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vid.mp4 # video
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screen # screenshot
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path/ # directory
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list.txt # list of images
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list.streams # list of streams
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'path/*.jpg' # glob
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'https://youtu.be/LNwODJXcvt4' # YouTube
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'rtsp://example.com/media.mp4' # RTSP, RTMP, HTTP stream
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python detect.py --weights yolov5s.pt --source img.jpg # image
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python detect.py --weights yolov5s.pt --source vid.mp4 # video
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python detect.py --weights yolov5s.pt --source screen # screenshot
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python detect.py --weights yolov5s.pt --source path/ # directory
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python detect.py --weights yolov5s.pt --source list.txt # list of images
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python detect.py --weights yolov5s.pt --source list.streams # list of streams
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python detect.py --weights yolov5s.pt --source 'path/*.jpg' # glob
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python detect.py --weights yolov5s.pt --source 'https://youtu.be/LNwODJXcvt4' # YouTube
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python detect.py --weights yolov5s.pt --source 'rtsp://example.com/media.mp4' # RTSP, RTMP, HTTP stream
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```
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</details>
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@@ -126,10 +126,10 @@ python detect.py --weights yolov5s.pt --source 0 #
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```bash
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml --batch-size 128
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yolov5s 64
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yolov5m 40
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yolov5l 24
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yolov5x 16
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5s.yaml --batch-size 64
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5m.yaml --batch-size 40
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5l.yaml --batch-size 24
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python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5x.yaml --batch-size 16
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```
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<img width="800" src="https://user-images.githubusercontent.com/26833433/90222759-949d8800-ddc1-11ea-9fa1-1c97eed2b963.png">
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@@ -45,7 +45,7 @@ That's it! You're done 😎
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To enable ClearML experiment tracking, simply install the ClearML pip package.
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```bash
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pip install clearml>=1.2.0
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pip install clearml
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```
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This will enable integration with the YOLOv5 training script. Every training run from now on, will be captured and stored by the ClearML experiment manager.
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@@ -144,7 +144,7 @@ clearml-data close
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Now that you have a ClearML dataset, you can very simply use it to train custom YOLOv5 🚀 models!
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```bash
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python train.py --img 640 --batch 16 --epochs 3 --data clearml://<your_dataset_id> --weights yolov5s.pt --cache
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python train.py --img 640 --batch 16 --epochs 3 --data clearml:// yolov5s.pt --cache YOUR_DATASET_ID --weights
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```
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## 👀 Hyperparameter Optimization
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@@ -177,7 +177,7 @@ In short: every experiment tracked by the experiment manager contains enough inf
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You can turn any machine (a cloud VM, a local GPU machine, your own laptop ... ) into a ClearML agent by simply running:
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```bash
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clearml-agent daemon --queue <queues_to_listen_to> [--docker]
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clearml-agent daemon --queue QUEUES_TO_LISTEN_TO [--docker]
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```
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### Cloning, Editing And Enqueuing
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