Update all broken links

.github/CONTRIBUTING.md

@@ -17,7 +17,7 @@ We appreciate all contributions. If you are interested in contributing to `yolor
 
 - If you would like to fix a bug
 
-  - please pick one from the [list of open issues labelled as "help wanted"](https://github.com/zhiqwang/yolov5-rt-stack/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22)
+  - please pick one from the [list of open issues labelled as "help wanted"](https://github.com/zhiqwang/yolort/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22)
   - comment on the issue that you want to work on this issue
   - send a PR with your fix, see below.
 
@@ -42,7 +42,7 @@ conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
 
 ```bash
 git clone https://github.com/zhiqwang/yolort.git
-cd yolov5-rt-stack
+cd yolort
 pip install -e .
 ```
 
@@ -102,7 +102,7 @@ If all previous checks (flake8, mypy, unit tests) are passing, please send a PR.
 - :white_check_mark: Verify your PR is **up-to-date with upstream/main**. You could update your PR to upstream/main by running the following code, don't forget replacing 'feature' with the name of your local branch:
 
   ```bash
-  git remote add upstream https://github.com/zhiqwang/yolov5-rt-stack.git
+  git remote add upstream https://github.com/zhiqwang/yolort.git
   git fetch upstream
   git rebase upstream/main
   git checkout -b feature  # <--- REPLACE 'feature' WITH YOUR LOCAL BRANCH NAME

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -5,7 +5,7 @@ body:
 - type: markdown
   attributes:
     value: >
-      #### Before submitting a bug, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/zhiqwang/yolov5-rt-stack/issues?q=is%3Aissue+sort%3Acreated-desc+).
+      #### Before submitting a bug, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/zhiqwang/yolort/issues?q=is%3Aissue+sort%3Acreated-desc+).
 - type: textarea
   attributes:
     label: 🐛 Describe the bug

.github/ISSUE_TEMPLATE/config.yml

@@ -1,5 +1,5 @@
 blank_issues_enabled: true
 contact_links:
   - name: Usage questions
-    url: https://github.com/zhiqwang/yolov5-rt-stack/discussions
+    url: https://github.com/zhiqwang/yolort/discussions
     about: Ask questions and discuss with other yolort community members

.github/ISSUE_TEMPLATE/documentation.yml

@@ -1,12 +1,12 @@
 name: 📚 Documentation
-description: Report an issue related to https://github.com/zhiqwang/yolov5-rt-stack/tree/master/docs
+description: Report an issue related to https://github.com/zhiqwang/yolort/tree/master/docs
 
 body:
 - type: textarea
   attributes:
     label: 📚 The doc issue
     description: >
-      A clear and concise description of what content in https://github.com/zhiqwang/yolov5-rt-stack/tree/master/docs is an issue.
+      A clear and concise description of what content in https://github.com/zhiqwang/yolort/tree/master/docs is an issue.
   validations:
     required: true
 - type: textarea

README.md

@@ -10,21 +10,21 @@ ______________________________________________________________________
 [Installation Instructions](https://zhiqwang.com/yolort/installation.html) •
 [Deployment](#-deployment) •
 [Contributing](.github/CONTRIBUTING.md) •
-[Reporting Issues](https://github.com/zhiqwang/yolov5-rt-stack/issues/new?assignees=&labels=&template=bug-report.yml)
+[Reporting Issues](https://github.com/zhiqwang/yolort/issues/new?assignees=&labels=&template=bug-report.yml)
 
 ______________________________________________________________________
 
 [![Python Version](https://img.shields.io/badge/Python-3.6--3.10-FFD43B?logo=python)](https://pypi.org/project/yolort/)
 [![PyPI version](https://img.shields.io/pypi/v/yolort?color=4D97FF&logo=PyPI)](https://badge.fury.io/py/yolort)
 [![PyPI downloads](https://static.pepy.tech/personalized-badge/yolort?period=total&units=international_system&left_color=grey&right_color=brightgreen&left_text=pypi%20downloads)](https://pepy.tech/project/yolort)
-[![Github downloads](https://img.shields.io/github/downloads/zhiqwang/yolov5-rt-stack/total?label=Model%20downloads&logo=PyTorch&color=FF6F00&logoColor=EE4C2C)](https://github.com/zhiqwang/yolov5-rt-stack/releases)
+[![Github downloads](https://img.shields.io/github/downloads/zhiqwang/yolort/total?label=Model%20downloads&logo=PyTorch&color=FF6F00&logoColor=EE4C2C)](https://github.com/zhiqwang/yolort/releases)
 [![Slack](https://img.shields.io/badge/Slack%20chat-4A154B?logo=slack&logoColor=white)](https://join.slack.com/t/yolort/shared_invite/zt-mqwc7235-940aAh8IaKYeWclrJx10SA)
 [![PRs Welcome](https://img.shields.io/badge/PRs%20welcome-792EE5?logo=GitHub-Sponsors&logoColor=#white)](.github/CONTRIBUTING.md)
 
-[![CI testing](https://github.com/zhiqwang/yolov5-rt-stack/actions/workflows/ci-test.yml/badge.svg)](https://github.com/zhiqwang/yolov5-rt-stack/actions/workflows/ci-test.yml)
-[![Build & deploy docs](https://github.com/zhiqwang/yolov5-rt-stack/actions/workflows/gh-pages.yml/badge.svg)](https://github.com/zhiqwang/yolov5-rt-stack/tree/gh-pages)
-[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/zhiqwang/yolov5-rt-stack/main.svg)](https://results.pre-commit.ci/latest/github/zhiqwang/yolov5-rt-stack/main)
-[![codecov](https://codecov.io/gh/zhiqwang/yolov5-rt-stack/branch/main/graph/badge.svg?token=1GX96EA72Y)](https://codecov.io/gh/zhiqwang/yolov5-rt-stack)
+[![CI testing](https://github.com/zhiqwang/yolort/actions/workflows/ci-test.yml/badge.svg)](https://github.com/zhiqwang/yolort/actions/workflows/ci-test.yml)
+[![Build & deploy docs](https://github.com/zhiqwang/yolort/actions/workflows/gh-pages.yml/badge.svg)](https://github.com/zhiqwang/yolort/tree/gh-pages)
+[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/zhiqwang/yolort/main.svg)](https://results.pre-commit.ci/latest/github/zhiqwang/yolort/main)
+[![codecov](https://codecov.io/gh/zhiqwang/yolort/branch/main/graph/badge.svg?token=1GX96EA72Y)](https://codecov.io/gh/zhiqwang/yolort)
 
 ______________________________________________________________________
 
@@ -74,8 +74,8 @@ There are no extra compiled components in `yolort` and package dependencies are
 
   ```shell
   # clone yolort repository locally
-  git clone https://github.com/zhiqwang/yolov5-rt-stack.git
-  cd yolov5-rt-stack
+  git clone https://github.com/zhiqwang/yolort.git
+  cd yolort
   # install in editable mode
   pip install -e .
   ```
@@ -106,7 +106,7 @@ There are no extra compiled components in `yolort` and package dependencies are
 The models are also available via torch hub, to load `yolov5s` with pretrained weights simply do:
 
 ```python
-model = torch.hub.load("zhiqwang/yolov5-rt-stack:main", "yolov5s", pretrained=True)
+model = torch.hub.load("zhiqwang/yolort:main", "yolov5s", pretrained=True)
 ```
 
 ### Loading checkpoint from official yolov5
@@ -177,7 +177,7 @@ Now, `yolort` can draw the model graph directly, checkout our [tutorial](https:/
 
 We love your input! Please see our [Contributing Guide](.github/CONTRIBUTING.md) to get started and for how to help out. Thank you to all our contributors! If you like this project please consider ⭐ this repo, as it is the simplest way to support us.
 
-[![Contributors](https://contrib.rocks/image?repo=zhiqwang/yolov5-rt-stack)](https://github.com/zhiqwang/yolov5-rt-stack/graphs/contributors)
+[![Contributors](https://contrib.rocks/image?repo=zhiqwang/yolort)](https://github.com/zhiqwang/yolort/graphs/contributors)
 
 ## 📖 Citing yolort
 
@@ -187,7 +187,7 @@ If you use yolort in your publication, please cite it by using the following Bib
 @Misc{yolort2021,
   author =       {Zhiqiang Wang and Song Lin and Shiquan Yu and Wei Zeng and Fidan Kharrasov},
   title =        {YOLORT: A runtime stack for object detection on specialized accelerators},
-  howpublished = {\url{https://github.com/zhiqwang/yolov5-rt-stack}},
+  howpublished = {\url{https://github.com/zhiqwang/yolort}},
   year =         {2021}
 }
 ```

deployment/tensorrt-yolov6/README.md

@@ -16,8 +16,8 @@
 1. 下载 yolort 源码:
 
    ```sh
-   git clone https://github.com/zhiqwang/yolov5-rt-stack.git
-   cd yolov5-rt-stack/deployment/tensorrt-yolov6
+   git clone https://github.com/zhiqwang/yolort.git
+   cd yolort/deployment/tensorrt-yolov6
    ```
 
 1. 导出 ONNX 的时候请务必包含 EfficientNMS 算子, 稍后我们会加入一个更清晰的流程. ~从 YOLOv6 官方地址下载 ONNX 模型，如 [yolov6n.onnx](https://github.com/meituan/YOLOv6/releases/download/0.1.0/yolov6n.onnx)~.

deployment/tensorrt/README.md

@@ -11,7 +11,7 @@ The TensorRT inference example of `yolort`.
 
 ## Usage
 
-Here we will mainly discuss how to use the C++ interface, we recommend that you check out our [tutorial](https://zhiqwang.com/yolov5-rt-stack/notebooks/onnx-graphsurgeon-inference-tensorrt.html) first.
+Here we will mainly discuss how to use the C++ interface, we recommend that you check out our [tutorial](https://zhiqwang.com/yolort/notebooks/onnx-graphsurgeon-inference-tensorrt.html) first.
 
 1. Export your custom model to TensorRT format
 

docs/source/conf.py

@@ -80,7 +80,7 @@ def setup(app):
 
 nbsphinx_epilog = """
 View this document as a notebook:
-https://github.com/zhiqwang/yolov5-rt-stack/blob/main/{{ env.doc2path(env.docname, base=None) }}
+https://github.com/zhiqwang/yolort/blob/main/{{ env.doc2path(env.docname, base=None) }}
 
 ----
 """
@@ -106,12 +106,12 @@ def setup(app):
     # "google_analytics_account": "UA-XXXXX",
     # Specify a base_url used to generate sitemap.xml. If not
     # specified, then no sitemap will be built.
-    "base_url": "https://zhiqwang.com/yolov5-rt-stack",
+    "base_url": "https://zhiqwang.com/yolort",
     # Set the color and the accent color
     "color_primary": "blue",
     "color_accent": "light-blue",
     # Set the repo location to get a badge with stats
-    "repo_url": "https://github.com/zhiqwang/yolov5-rt-stack/",
+    "repo_url": "https://github.com/zhiqwang/yolort/",
     "repo_name": "yolort",
     # Visible levels of the global TOC; -1 means unlimited
     "globaltoc_depth": 3,

docs/source/index.rst

@@ -50,8 +50,8 @@ Read a source of image(s) and detect its objects:
 And we support loading the trained weights from YOLOv5. Please see our documents on what
 we `share`_ and how we `differ`_ from yolov5 for more details.
 
-.. _share: https://zhiqwang.com/yolov5-rt-stack/notebooks/how-to-align-with-ultralytics-yolov5.html
-.. _differ: https://zhiqwang.com/yolov5-rt-stack/notebooks/comparison-between-yolort-vs-yolov5.html
+.. _share: https://zhiqwang.com/yolort/notebooks/how-to-align-with-ultralytics-yolov5.html
+.. _differ: https://zhiqwang.com/yolort/notebooks/comparison-between-yolort-vs-yolov5.html
 
 .. code:: python
 

docs/source/installation.rst

@@ -10,7 +10,7 @@ install PyTorch 1.8.0+ and torchvision 0.9.0+.
 
 To install yolort, you may either use the repository
 
-   https://github.com/zhiqwang/yolov5-rt-stack/
+   https://github.com/zhiqwang/yolort/
 
 and ``setup.py`` from there or use
 
@@ -22,7 +22,7 @@ to get the latest release and
 
 ::
 
-   pip install 'git+https://github.com/zhiqwang/yolov5-rt-stack.git'
+   pip install 'git+https://github.com/zhiqwang/yolort.git'
 
 to install the development version.
 

notebooks/comparison-between-yolort-vs-yolov5.ipynb

@@ -11,7 +11,7 @@
     "\n",
     "For pre-processing, YOLOv5 uses the [letterboxing (padding)](https://en.wikipedia.org/wiki/Letterboxing_(filming)) resizing that maintains the aspect ratio. The error arises from the `interpolate` operator used in resizing. YOLOv5 uses the [cv2.resize](https://docs.opencv.org/4.x/da/d54/group__imgproc__transform.html#ga47a974309e9102f5f08231edc7e7529d) operator on the input `uint8 [0-255]` images, the operators in OpenCV are not traceable or scriptable, so we use [torch.nn.functional.interpolate](https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch-nn-functional-interpolate) in yolort. Fortunately, the `interpolation` operator of PyTorch is [aligned](https://github.com/pytorch/vision/issues/2950#issuecomment-723038041) with that of OpenCV, however PyTorch's `interpolate` [only supports](https://github.com/pytorch/pytorch/issues/5580) the float data type now, we can only operate with images cast to float types, and therefore there will introduce some errors.\n",
     "\n",
-    "YOLOv5 provides a very powerful function to do the post-processing, of which we implement only a non-agnostic version, but the accuracy here should be able to be consistent with the original version. See our [doc](https://zhiqwang.com/yolov5-rt-stack/notebooks/how-to-align-with-ultralytics-yolov5.html) for more details.\n",
+    "YOLOv5 provides a very powerful function to do the post-processing, of which we implement only a non-agnostic version, but the accuracy here should be able to be consistent with the original version. See our [doc](https://zhiqwang.com/yolort/notebooks/how-to-align-with-ultralytics-yolov5.html) for more details.\n",
     "\n",
     "## Prepare environment, image and model weights to test"
    ]

notebooks/export-onnx-inference-onnxruntime.ipynb

@@ -342,15 +342,15 @@
      "text": [
       "/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py:3701: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
       "  (torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))\n",
-      "/coding/yolov5-rt-stack/yolort/models/transform.py:282: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).\n",
+      "/coding/yolort/yolort/models/transform.py:282: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).\n",
       "  img_h, img_w = _get_shape_onnx(img)\n",
-      "/coding/yolov5-rt-stack/yolort/models/anchor_utils.py:45: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
+      "/coding/yolort/yolort/models/anchor_utils.py:45: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
       "  anchors = torch.as_tensor(self.anchor_grids, dtype=torch.float32, device=device).to(dtype=dtype)\n",
-      "/coding/yolov5-rt-stack/yolort/models/anchor_utils.py:46: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
+      "/coding/yolort/yolort/models/anchor_utils.py:46: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
       "  strides = torch.as_tensor(self.strides, dtype=torch.float32, device=device).to(dtype=dtype)\n",
-      "/coding/yolov5-rt-stack/yolort/models/box_head.py:402: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
+      "/coding/yolort/yolort/models/box_head.py:402: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
       "  strides = torch.as_tensor(self.strides, dtype=torch.float32, device=device).to(dtype=dtype)\n",
-      "/coding/yolov5-rt-stack/yolort/models/box_head.py:333: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).\n",
+      "/coding/yolort/yolort/models/box_head.py:333: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).\n",
       "  for head_output, grid, shift, stride in zip(head_outputs, grids, shifts, strides):\n",
       "/opt/conda/lib/python3.8/site-packages/torch/onnx/symbolic_opset9.py:2815: UserWarning: Exporting aten::index operator of advanced indexing in opset 11 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.\n",
       "  warnings.warn(\"Exporting aten::index operator of advanced indexing in opset \" +\n"