From 22dec59b57edd3b306f8475b023ccd942b60d6cc Mon Sep 17 00:00:00 2001 From: Burhan <62214284+Burhan-Q@users.noreply.github.com> Date: Thu, 6 Jun 2024 04:17:41 -0400 Subject: [PATCH] Clean up Docs pages (#13370) Co-authored-by: Glenn Jocher --- docs/en/datasets/segment/index.md | 2 -- docs/en/guides/conda-quickstart.md | 6 ------ 2 files changed, 8 deletions(-) diff --git a/docs/en/datasets/segment/index.md b/docs/en/datasets/segment/index.md index 9da781a9..e3856688 100644 --- a/docs/en/datasets/segment/index.md +++ b/docs/en/datasets/segment/index.md @@ -138,8 +138,6 @@ To auto-annotate your dataset using the Ultralytics framework, you can use the ` auto_annotate(data="path/to/images", det_model="yolov8x.pt", sam_model="sam_b.pt") ``` -Certainly, here is the table updated with code snippets: - | Argument | Type | Description | Default | |--------------|-------------------------|-------------------------------------------------------------------------------------------------------------|----------------| | `data` | `str` | Path to a folder containing images to be annotated. | `None` | diff --git a/docs/en/guides/conda-quickstart.md b/docs/en/guides/conda-quickstart.md index 6a7f7b4c..ff23dde8 100644 --- a/docs/en/guides/conda-quickstart.md +++ b/docs/en/guides/conda-quickstart.md @@ -102,12 +102,6 @@ sudo docker run -it --ipc=host --gpus all $t # all GPUs sudo docker run -it --ipc=host --gpus '"device=2,3"' $t # specify GPUs ``` ---- - -Certainly, you can include the following section in your Conda guide to inform users about speeding up installation using `libmamba`: - ---- - ## Speeding Up Installation with Libmamba If you're looking to [speed up the package installation](https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community) process in Conda, you can opt to use `libmamba`, a fast, cross-platform, and dependency-aware package manager that serves as an alternative solver to Conda's default.