Fix Windows non-UTF source filenames (#4524)

Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>

docs/quickstart.md

@@ -16,10 +16,18 @@ Ultralytics provides various installation methods including pip, conda, and Dock
         [![PyPI version](https://badge.fury.io/py/ultralytics.svg)](https://badge.fury.io/py/ultralytics) [![Downloads](https://static.pepy.tech/badge/ultralytics)](https://pepy.tech/project/ultralytics)
 
         ```bash
-        # Install the ultralytics package using pip
+        # Install the ultralytics package from PyPI
         pip install ultralytics
         ```
 
+        You can also install the `ultralytics` package directly from the GitHub repository. This might be useful if you want the latest development version. Make sure to have the Git command-line tool installed on your system. The `@main` command installs the `main` branch and may be modified to another branch, i.e. `@my-branch`, or removed alltogether to default to `main` branch.
+    
+        ```bash
+        # Install the ultralytics package from GitHub
+        pip install git+https://github.com/ultralytics/ultralytics.git@main
+        ```
+
+
     === "Conda install"
         Conda is an alternative package manager to pip which may also be used for installation. Visit Anaconda for more details at [https://anaconda.org/conda-forge/ultralytics](https://anaconda.org/conda-forge/ultralytics). Ultralytics feedstock repository for updating the conda package is at [https://github.com/conda-forge/ultralytics-feedstock/](https://github.com/conda-forge/ultralytics-feedstock/).
 
@@ -53,10 +61,19 @@ Ultralytics provides various installation methods including pip, conda, and Dock
         ```
 
     === "Docker"
-        Utilize Docker to execute the `ultralytics` package in an isolated container. By employing the official `ultralytics` image from [Docker Hub](https://hub.docker.com/r/ultralytics/ultralytics), you can avoid local installation. Below are the commands to get the latest image and execute it:
 
+        Utilize Docker to effortlessly execute the `ultralytics` package in an isolated container, ensuring consistent and smooth performance across various environments. By choosing one of the official `ultralytics` images from [Docker Hub](https://hub.docker.com/r/ultralytics/ultralytics), you not only avoid the complexity of local installation but also benefit from access to a verified working environment. Ultralytics offers 5 main supported Docker images, each designed to provide high compatibility and efficiency for different platforms and use cases:
+        
         <a href="https://hub.docker.com/r/ultralytics/ultralytics"><img src="https://img.shields.io/docker/pulls/ultralytics/ultralytics?logo=docker" alt="Docker Pulls"></a>
 
+        - **Dockerfile:** GPU image recommended for training.
+        - **Dockerfile-arm64:** Optimized for ARM64 architecture, allowing deployment on devices like Raspberry Pi and other ARM64-based platforms.
+        - **Dockerfile-cpu:** Ubuntu-based CPU-only version suitable for inference and environments without GPUs.
+        - **Dockerfile-jetson:** Tailored for NVIDIA Jetson devices, integrating GPU support optimized for these platforms.
+        - **Dockerfile-python:** Minimal image with just Python and necessary dependencies, ideal for lightweight applications and development.
+        
+        Below are the commands to get the latest image and execute it:
+
         ```bash
         # Set image name as a variable
         t=ultralytics/ultralytics:latest

docs/reference/data/converter.md

@@ -25,10 +25,6 @@ keywords: Ultralytics, Data Converter, coco91_to_coco80_class, merge_multi_segme
 ## ::: ultralytics.data.converter.convert_dota_to_yolo_obb
 <br><br>
 
----
-## ::: ultralytics.data.converter.rle2polygon
-<br><br>
-
 ---
 ## ::: ultralytics.data.converter.min_index
 <br><br>

docs/reference/data/dataset.md

@@ -20,3 +20,11 @@ keywords: Ultralytics, YOLO, YOLODataset, SemanticDataset, data handling, data m
 ---
 ## ::: ultralytics.data.dataset.SemanticDataset
 <br><br>
+
+---
+## ::: ultralytics.data.dataset.load_dataset_cache_file
+<br><br>
+
+---
+## ::: ultralytics.data.dataset.save_dataset_cache_file
+<br><br>

docs/reference/data/utils.md

@@ -25,6 +25,10 @@ keywords: Ultralytics, data utils, YOLO, img2label_paths, exif_size, polygon2mas
 ## ::: ultralytics.data.utils.exif_size
 <br><br>
 
+---
+## ::: ultralytics.data.utils.verify_image
+<br><br>
+
 ---
 ## ::: ultralytics.data.utils.verify_image_label
 <br><br>