Fix broken colab link

demo/MMDet_Tutorial.ipynb

@@ -363,7 +363,7 @@
     "\n",
     "Usually we recommend to use the first two methods which are usually easier than the third.\n",
     "\n",
-    "In this tutorial, we gives an example that converting the data into the format of existing datasets like COCO, VOC, etc. Other methods and more advanced usages can be found in the [doc](https://mmdetection.readthedocs.io/en/latest/tutorials/new_dataset.html#).\n",
+    "In this tutorial, we gives an example that converting the data into the format of existing datasets like COCO, VOC, etc. Other methods and more advanced usages can be found in the [doc](https://mmdetection.readthedocs.io/en/latest/tutorials/customize_dataset.html).\n",
     "\n",
     "Firstly, let's download a tiny dataset obtained from [KITTI](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d). We select the first 75 images and their annotations from the 3D object detection dataset (it is the same dataset as the 2D object detection dataset but has 3D annotations). We convert the original images from PNG to JPEG format with 80% quality to reduce the size of dataset."
    ]

docs/en/get_started.md

@@ -134,7 +134,7 @@ Or you can still install MMDetection manually:
     # for LVIS dataset
     pip install git+https://github.com/lvis-dataset/lvis-api.git
     # for albumentations
-    pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
+    pip install -r requirements/albu.txt
     ```
 
 **Note:**
@@ -148,9 +148,12 @@ you can install it before installing MMCV.
 c. Some dependencies are optional. Simply running `pip install -v -e .` will
  only install the minimum runtime requirements. To use optional dependencies like `albumentations` and `imagecorruptions` either install them manually with `pip install -r requirements/optional.txt` or specify desired extras when calling `pip` (e.g. `pip install -v -e .[optional]`). Valid keys for the extras field are: `all`, `tests`, `build`, and `optional`.
 
-d. If you would like to use `albumentations`, we suggest using
-`pip install albumentations>=0.3.2 --no-binary imgaug,albumentations`. If you simply use
-`pip install albumentations>=0.3.2`, it will install `opencv-python-headless` simultaneously (even though you have already installed `opencv-python`). We should not allow `opencv-python` and `opencv-python-headless` installed at the same time, because it might cause unexpected issues. Please refer to [official documentation](https://albumentations.ai/docs/getting_started/installation/#note-on-opencv-dependencies) for more details.
+d. If you would like to use `albumentations`, we suggest using `pip install -r requirements/albu.txt` or
+`pip install -U albumentations --no-binary qudida,albumentations`. If you simply use `pip install albumentations>=0.3.2`,
+it will install `opencv-python-headless` simultaneously (even though you have already
+installed `opencv-python`). We recommended checking the environment after installing `albumentation` to
+ensure that `opencv-python` and `opencv-python-headless` are not installed at the same time, because it might cause unexpected issues if they both installed. Please refer
+to [official documentation](https://albumentations.ai/docs/getting_started/installation/#note-on-opencv-dependencies) for more details.
 
 ### Install without GPU support
 

docs/zh_cn/get_started.md

@@ -142,7 +142,7 @@ MIM 能够自动地安装 OpenMMLab 的项目以及对应的依赖包。
     # 安装 LVIS 数据集依赖
     pip install git+https://github.com/lvis-dataset/lvis-api.git
     # 安装 albumentations 依赖
-    pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
+    pip install -r requirements/albu.txt
     ```
 
 **注意：**
@@ -153,7 +153,7 @@ MIM 能够自动地安装 OpenMMLab 的项目以及对应的依赖包。
 
 (3) 一些安装依赖是可以选择的。例如只需要安装最低运行要求的版本，则可以使用 `pip install -v -e .` 命令。如果希望使用可选择的像 `albumentations` 和 `imagecorruptions` 这种依赖项，可以使用 `pip install -r requirements/optional.txt` 进行手动安装，或者在使用 `pip` 时指定所需的附加功能（例如 `pip install -v -e .[optional]`），支持附加功能的有效键值包括  `all`、`tests`、`build` 以及 `optional` 。
 
-(4) 如果希望使用 `albumentations`，我们建议使用 `pip install albumentations>=0.3.2 --no-binary imgaug,albumentations` 进行安装。 如果简单地使用 `pip install albumentations>=0.3.2` 进行安装，则会同时安装 `opencv-python-headless`（即便已经安装了 `opencv-python` 也会再次安装）。我们不允许同时安装 `opencv-python` 和 `opencv-python-headless`，因为这样可能会导致一些问题。更多细节请参考[官方文档](https://albumentations.ai/docs/getting_started/installation/#note-on-opencv-dependencies)。
+(4) 如果希望使用 `albumentations`，我们建议使用 `pip install -r requirements/albu.txt` 或者 `pip install -U albumentations --no-binary qudida,albumentations` 进行安装。 如果简单地使用 `pip install albumentations>=0.3.2` 进行安装，则会同时安装 `opencv-python-headless`（即便已经安装了 `opencv-python` 也会再次安装）。我们建议在安装 `albumentations` 后检查环境，以确保没有同时安装 `opencv-python` 和 `opencv-python-headless`，因为同时安装可能会导致一些问题。更多细节请参考[官方文档](https://albumentations.ai/docs/getting_started/installation/#note-on-opencv-dependencies)。
 
 ### 只在 CPU 安装
 

requirements/albu.txt

@@ -0,0 +1 @@
+albumentations>=0.3.2 --no-binary qudida,albumentations

tools/deployment/onnx2tensorrt.py

@@ -201,7 +201,7 @@ def parse_args():
         parsed directly from config file and are deprecated and will be \
         removed in future releases.')
     if not args.input_img:
-        args.input_img = osp.join(osp.dirname(__file__), '../demo/demo.jpg')
+        args.input_img = osp.join(osp.dirname(__file__), '../../demo/demo.jpg')
 
     cfg = Config.fromfile(args.config)