Add torch.Tensor checks and pip badges (ultralytics#3368)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

README.md

@@ -59,11 +59,13 @@ See below for a quickstart installation and usage example, and see the [YOLOv8 D
 
 Pip install the ultralytics package including all [requirements](https://github.com/ultralytics/ultralytics/blob/main/requirements.txt) in a [**Python>=3.8**](https://www.python.org/) environment with [**PyTorch>=1.7**](https://pytorch.org/get-started/locally/).
 
+[![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
 pip install ultralytics
 ```
 
-For alternative installation methods including Conda, Docker, and Git, please refer to the [Ultralytics Quickstart Guide](https://docs.ultralytics.com/quickstart).
+For alternative installation methods including Conda, Docker, and Git, please refer to the [Quickstart Guide](https://docs.ultralytics.com/quickstart).
 
 </details>
 

README.zh-CN.md

@@ -59,11 +59,13 @@
 
 使用Pip在一个[**Python>=3.8**](https://www.python.org/)环境中安装`ultralytics`包，此环境还需包含[**PyTorch>=1.7**](https://pytorch.org/get-started/locally/)。这也会安装所有必要的[依赖项](https://github.com/ultralytics/ultralytics/blob/main/requirements.txt)。
 
+[![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
 pip install ultralytics
 ```
 
-如需使用包括Conda、Docker和Git在内的其他安装方法，请参考[Ultralytics快速入门指南](https://docs.ultralytics.com/quickstart)。
+如需使用包括Conda、Docker和Git在内的其他安装方法，请参考[快速入门指南](https://docs.ultralytics.com/quickstart)。
 
 </details>
 

docs/quickstart.md

@@ -12,13 +12,20 @@ Ultralytics provides various installation methods including pip, conda, and Dock
 
     === "Pip install (recommended)"
         Install the `ultralytics` package using pip, or update an existing installation by running `pip install -U ultralytics`. Visit the Python Package Index (PyPI) for more details on the `ultralytics` package: [https://pypi.org/project/ultralytics/](https://pypi.org/project/ultralytics/).
+
+        [![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
         pip install ultralytics
         ```
 
     === "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/).
+
+
+        [![Conda Recipe](https://img.shields.io/badge/recipe-ultralytics-green.svg)](https://anaconda.org/conda-forge/ultralytics) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/ultralytics.svg)](https://anaconda.org/conda-forge/ultralytics) [![Conda Version](https://img.shields.io/conda/vn/conda-forge/ultralytics.svg)](https://anaconda.org/conda-forge/ultralytics) [![Conda Platforms](https://img.shields.io/conda/pn/conda-forge/ultralytics.svg)](https://anaconda.org/conda-forge/ultralytics)
+
         ```bash
         # Install the ultralytics package using conda
         conda install ultralytics
@@ -39,6 +46,8 @@ 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:
+
+        <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>
 
         ```bash
         # Set image name as a variable

ultralytics/yolo/data/dataloaders/stream_loaders.py

@@ -301,11 +301,23 @@ def __init__(self, im0) -> None:
         self.paths = [getattr(im, 'filename', f'image{i}.jpg') for i, im in enumerate(im0)]
 
     @staticmethod
-    def _single_check(im):
-        """Validate and format an image to numpy array."""
-        if len(im.shape) < 4:
-            LOGGER.warning('WARNING ⚠️ torch.Tensor inputs should be BCHW format, i.e. shape(1,3,640,640).')
-            im = im.unsqueeze(0)
+    def _single_check(im, stride=32):
+        """Validate and format an image to torch.Tensor."""
+        s = f'WARNING ⚠️ torch.Tensor inputs should be BCHW i.e. shape(1, 3, 640, 640) ' \
+            f'divisible by stride {stride}. Input shape{tuple(im.shape)} is incompatible.'
+        if len(im.shape) != 4:
+            if len(im.shape) == 3:
+                LOGGER.warning(s)
+                im = im.unsqueeze(0)
+            else:
+                raise ValueError(s)
+        if im.shape[2] % stride or im.shape[3] % stride:
+            raise ValueError(s)
+        if im.max() > 1.0:
+            LOGGER.warning(f'WARNING ⚠️ torch.Tensor inputs should be normalized 0.0-1.0 but max value is {im.max()}. '
+                           f'Dividing input by 255.')
+            im = im.float() / 255.0
+
         return im
 
     def __iter__(self):