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Bump docker/build-push-action from 5 to 6 in /.github/workflows #3

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1bd8f77
Bump docker/build-push-action from 5 to 6 in /.github/workflows
dependabot[bot] Jun 24, 2024
9d5c641
Auto-format by https://ultralytics.com/actions
UltralyticsAssistant Jun 24, 2024
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6 changes: 3 additions & 3 deletions .github/workflows/docker.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ jobs:
password: ${{ secrets.DOCKERHUB_TOKEN }}

- name: Build and push arm64 image
uses: docker/build-push-action@v5
uses: docker/build-push-action@v6
continue-on-error: true
with:
context: .
Expand All @@ -42,7 +42,7 @@ jobs:
tags: ultralytics/yolov5:latest-arm64

- name: Build and push CPU image
uses: docker/build-push-action@v5
uses: docker/build-push-action@v6
continue-on-error: true
with:
context: .
Expand All @@ -51,7 +51,7 @@ jobs:
tags: ultralytics/yolov5:latest-cpu

- name: Build and push GPU image
uses: docker/build-push-action@v5
uses: docker/build-push-action@v6
continue-on-error: true
with:
context: .
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6 changes: 2 additions & 4 deletions README.md
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Expand Up @@ -196,7 +196,7 @@ 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) |

Expand Down Expand Up @@ -406,9 +406,7 @@ python classify/predict.py --weights yolov5s-cls.pt --source data/images/bus.jpg
```

```python
model = torch.hub.load(
"ultralytics/yolov5", "custom", "yolov5s-cls.pt"
) # load from PyTorch Hub
model = torch.hub.load("ultralytics/yolov5", "custom", "yolov5s-cls.pt") # load from PyTorch Hub
```

### Export
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4 changes: 1 addition & 3 deletions README.zh-CN.md
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Expand Up @@ -394,9 +394,7 @@ python classify/predict.py --weights yolov5s-cls.pt --source data/images/bus.jpg
```

```python
model = torch.hub.load(
"ultralytics/yolov5", "custom", "yolov5s-cls.pt"
) # load from PyTorch Hub
model = torch.hub.load("ultralytics/yolov5", "custom", "yolov5s-cls.pt") # load from PyTorch Hub
```

### 模型导出
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12 changes: 6 additions & 6 deletions utils/loggers/clearml/README.md
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Expand Up @@ -34,15 +34,15 @@ Either sign up for free to the [ClearML Hosted Service](https://cutt.ly/yolov5-t

1. Install the `clearml` python package:

```bash
pip install clearml
```
```bash
pip install clearml
```

2. Connect the ClearML SDK to the server by [creating credentials](https://app.clear.ml/settings/workspace-configuration) (go right top to Settings -> Workspace -> Create new credentials), then execute the command below and follow the instructions:

```bash
clearml-init
```
```bash
clearml-init
```

That's it! You're done 😎

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2 changes: 1 addition & 1 deletion utils/segment/dataloaders.py
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Expand Up @@ -7,7 +7,7 @@
import cv2
import numpy as np
import torch
from torch.utils.data import DataLoader, distributed
from torch.utils.data import DataLoader

from ..augmentations import augment_hsv, copy_paste, letterbox
from ..dataloaders import InfiniteDataLoader, LoadImagesAndLabels, SmartDistributedSampler, seed_worker
Expand Down