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Glenn Jocher 2022-12-21 02:19:45 +01:00
parent c765b8c274
commit 96a71b17a2
1 changed files with 11 additions and 10 deletions

21
tutorial.ipynb vendored
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@ -412,7 +412,7 @@
"import utils\n",
"display = utils.notebook_init() # checks"
],
"execution_count": 1,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
@ -465,7 +465,7 @@
"!python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images\n",
"# display.Image(filename='runs/detect/exp/zidane.jpg', width=600)"
],
"execution_count": 2,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
@ -535,7 +535,7 @@
"torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip') # download (780M - 5000 images)\n",
"!unzip -q tmp.zip -d ../datasets && rm tmp.zip # unzip"
],
"execution_count": 3,
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
@ -566,7 +566,7 @@
"# Validate YOLOv5s on COCO val\n",
"!python val.py --weights yolov5s.pt --data coco.yaml --img 640 --half"
],
"execution_count": 4,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
@ -682,7 +682,7 @@
"# Train YOLOv5s on COCO128 for 3 epochs\n",
"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache"
],
"execution_count": 5,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
@ -860,7 +860,8 @@
"cell_type": "markdown",
"source": [
"## Comet Logging and Visualization 🌟 NEW\n",
"[Comet](https://bit.ly/yolov5-readme-comet2) is now fully integrated with YOLOv5. Track and visualize model metrics in real time, save your hyperparameters, datasets, and model checkpoints, and visualize your model predictions with [Comet Custom Panels](https://bit.ly/yolov5-colab-comet-panels)! Comet makes sure you never lose track of your work and makes it easy to share results and collaborate across teams of all sizes! \n",
"\n",
"[Comet](https://www.comet.com/site/lp/yolov5-with-comet/?utm_source=yolov5&utm_medium=partner&utm_campaign=partner_yolov5_2022&utm_content=yolov5_colab) is now fully integrated with YOLOv5. Track and visualize model metrics in real time, save your hyperparameters, datasets, and model checkpoints, and visualize your model predictions with [Comet Custom Panels](https://www.comet.com/docs/v2/guides/comet-dashboard/code-panels/about-panels/?utm_source=yolov5&utm_medium=partner&utm_campaign=partner_yolov5_2022&utm_content=yolov5_colab)! Comet makes sure you never lose track of your work and makes it easy to share results and collaborate across teams of all sizes!\n",
"\n",
"Getting started is easy:\n",
"```shell\n",
@ -868,11 +869,11 @@
"export COMET_API_KEY=<Your API Key> # 2. paste API key\n",
"python train.py --img 640 --epochs 3 --data coco128.yaml --weights yolov5s.pt # 3. train\n",
"```\n",
"\n",
"To learn more about all of the supported Comet features for this integration, check out the [Comet Tutorial](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/comet). If you'd like to learn more about Comet, head over to our [documentation](https://bit.ly/yolov5-colab-comet-docs). Get started by trying out the Comet Colab Notebook:\n",
"To learn more about all of the supported Comet features for this integration, check out the [Comet Tutorial](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/comet). If you'd like to learn more about Comet, head over to our [documentation](https://www.comet.com/docs/v2/?utm_source=yolov5&utm_medium=partner&utm_campaign=partner_yolov5_2022&utm_content=yolov5_colab). Get started by trying out the Comet Colab Notebook:\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1RG0WOQyxlDlo5Km8GogJpIEJlg_5lyYO?usp=sharing)\n",
"\n",
"<img width=\"1920\" alt=\"yolo-ui\" src=\"https://user-images.githubusercontent.com/26833433/202851203-164e94e1-2238-46dd-91f8-de020e9d6b41.png\">"
"<a href=\"https://bit.ly/yolov5-readme-comet2\">\n",
"<img alt=\"Comet Dashboard\" src=\"https://user-images.githubusercontent.com/26833433/202851203-164e94e1-2238-46dd-91f8-de020e9d6b41.png\" width=\"1280\"/></a>"
],
"metadata": {
"id": "nWOsI5wJR1o3"
@ -972,4 +973,4 @@
"outputs": []
}
]
}
}