Upgrade the versions of pre-commit hooks

.pre-commit-config-zh-cn.yaml

@@ -1,19 +1,19 @@
 exclude: ^tests/data/
 repos:
   - repo: https://gitee.com/openmmlab/mirrors-flake8
-    rev: 3.8.3
+    rev: 5.0.4
     hooks:
       - id: flake8
   - repo: https://gitee.com/openmmlab/mirrors-isort
     rev: 5.10.1
     hooks:
       - id: isort
   - repo: https://gitee.com/openmmlab/mirrors-yapf
-    rev: v0.30.0
+    rev: v0.32.0
     hooks:
       - id: yapf
   - repo: https://gitee.com/openmmlab/mirrors-pre-commit-hooks
-    rev: v3.1.0
+    rev: v4.3.0
     hooks:
       - id: trailing-whitespace
       - id: check-yaml
@@ -26,7 +26,7 @@ repos:
       - id: mixed-line-ending
         args: ["--fix=lf"]
   - repo: https://gitee.com/openmmlab/mirrors-codespell
-    rev: v2.1.0
+    rev: v2.2.1
     hooks:
       - id: codespell
   - repo: https://gitee.com/openmmlab/mirrors-mdformat
@@ -44,7 +44,7 @@ repos:
       - id: docformatter
         args: ["--in-place", "--wrap-descriptions", "79"]
   - repo: https://github.com/asottile/pyupgrade
-    rev: v2.32.1
+    rev: v3.0.0
     hooks:
       - id: pyupgrade
         args: ["--py36-plus"]

.pre-commit-config.yaml

@@ -1,19 +1,19 @@
 exclude: ^tests/data/
 repos:
   - repo: https://github.com/PyCQA/flake8
-    rev: 3.8.3
+    rev: 5.0.4
     hooks:
       - id: flake8
   - repo: https://github.com/PyCQA/isort
     rev: 5.10.1
     hooks:
       - id: isort
   - repo: https://github.com/pre-commit/mirrors-yapf
-    rev: v0.30.0
+    rev: v0.32.0
     hooks:
       - id: yapf
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.1.0
+    rev: v4.3.0
     hooks:
       - id: trailing-whitespace
       - id: check-yaml
@@ -26,7 +26,7 @@ repos:
       - id: mixed-line-ending
         args: ["--fix=lf"]
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.1.0
+    rev: v2.2.1
     hooks:
       - id: codespell
   - repo: https://github.com/executablebooks/mdformat
@@ -44,7 +44,7 @@ repos:
       - id: docformatter
         args: ["--in-place", "--wrap-descriptions", "79"]
   - repo: https://github.com/asottile/pyupgrade
-    rev: v2.32.1
+    rev: v3.0.0
     hooks:
       - id: pyupgrade
         args: ["--py36-plus"]

docs/en/understand_mmcv/data_process.md

@@ -265,12 +265,12 @@ mmcv.flowshow(flow)
 
 ![progress](../_static/flow_visualization.png)
 
-3. Flow warpping
+3. Flow warping
 
 ```python
 img1 = mmcv.imread('img1.jpg')
 flow = mmcv.flowread('flow.flo')
-warpped_img2 = mmcv.flow_warp(img1, flow)
+warped_img2 = mmcv.flow_warp(img1, flow)
 ```
 
 img1 (left) and img2 (right)
@@ -281,6 +281,6 @@ optical flow (img2 -> img1)
 
 ![optical flow](../_static/flow_img2toimg1.png)
 
-warpped image and difference with ground truth
+warped image and difference with ground truth
 
-![warpped image](../_static/flow_warp_diff.png)
+![warped image](../_static/flow_warp_diff.png)

docs/zh_cn/understand_mmcv/data_process.md

@@ -259,7 +259,7 @@ mmcv.flowshow(flow)
 ```python
 img1 = mmcv.imread('img1.jpg')
 flow = mmcv.flowread('flow.flo')
-warpped_img2 = mmcv.flow_warp(img1, flow)
+warped_img2 = mmcv.flow_warp(img1, flow)
 ```
 
 img1 (左) and img2 (右)
@@ -272,4 +272,4 @@ img1 (左) and img2 (右)
 
 变换后的图像和真实图像的差异
 
-![warpped image](../../en/_static/flow_warp_diff.png)
+![warped image](../../en/_static/flow_warp_diff.png)

mmcv/ops/active_rotated_filter.py

@@ -47,12 +47,12 @@ def forward(ctx, input: torch.Tensor,
     def backward(ctx, grad_out: torch.Tensor) -> Tuple[torch.Tensor, None]:
         """
         Args:
-            grad_output (torch.Tensor): The gradiant of output features
+            grad_output (torch.Tensor): The gradient of output features
                 with shape [num_output_planes * num_rotations,
                 num_input_planes * num_orientations, H, W].
 
         Returns:
-            torch.Tensor: The gradiant of input features with shape
+            torch.Tensor: The gradient of input features with shape
             [num_output_planes, num_input_planes, num_orientations, H, W].
         """
         input, indices = ctx.saved_tensors

mmcv/ops/csrc/pytorch/mlu/psamask_mlu.cpp

@@ -161,7 +161,7 @@ void PSAMaskForwardMLUKernelLauncher(const int psa_type, const Tensor x,
   TORCH_CHECK(h_feature * w_feature == y_c,
               "channel of y should be the same as h_feature * w_feature");
   TORCH_CHECK(psa_type == 0 || psa_type == 1,
-              "psa_type only suppurts 'COLLECT' and 'DISTRIBUTE' currently");
+              "psa_type only supports 'COLLECT' and 'DISTRIBUTE' currently");
 
   if (x.numel() == 0) {
     CNLOG(INFO) << "skip zero-element tensor";
@@ -227,7 +227,7 @@ void PSAMaskBackwardMLUKernelLauncher(const int psa_type, const Tensor dy,
   TORCH_CHECK(h_mask * w_mask == dx_c,
               "channel of dx should be the same as h_mask * w_mask");
   TORCH_CHECK(psa_type == 0 || psa_type == 1,
-              "psa_type only suppurts 'COLLECT' and 'DISTRIBUTE' currently");
+              "psa_type only supports 'COLLECT' and 'DISTRIBUTE' currently");
 
   if (dx.numel() == 0) {
     CNLOG(INFO) << "skip zero-element tensor";

mmcv/ops/csrc/pytorch/mlu/roi_align_mlu.cpp

@@ -45,7 +45,7 @@ void ROIAlignForwardMLUKernelLauncher(Tensor input, Tensor rois, Tensor output,
               input.dim(), "D");
   TORCH_CHECK(rois.dim() == 2, "rois should be a 2d tensor, got ", rois.dim(),
               "D");
-  TORCH_CHECK(pool_mode == 1, "pool_mode only suppurts 'avg' currently");
+  TORCH_CHECK(pool_mode == 1, "pool_mode only supports 'avg' currently");
 
   auto memory_format =
       torch_mlu::cnnl::ops::get_channels_last_memory_format(input.dim());
@@ -121,7 +121,7 @@ void ROIAlignBackwardMLUKernelLauncher(Tensor grad, Tensor rois,
               "D");
   TORCH_CHECK(rois.dim() == 2, "rois should be a 2d tensor, got ", rois.dim(),
               "D");
-  TORCH_CHECK(pool_mode == 1, "pool_mode only suppurts 'avg' currently");
+  TORCH_CHECK(pool_mode == 1, "pool_mode only supports 'avg' currently");
 
   int batch_size = grad_input.size(0);
   int channels = grad_input.size(1);

mmcv/ops/rotated_feature_align.py

@@ -66,11 +66,11 @@ def forward(ctx: Any, features: torch.Tensor, best_rbboxes: torch.Tensor,
     def backward(ctx: Any, grad_output: torch.Tensor) -> tuple:
         """
         Args:
-            grad_output (torch.Tensor): The gradiant of output features
+            grad_output (torch.Tensor): The gradient of output features
                 with shape [N,C,H,W].
 
         Returns:
-            torch.Tensor: The gradiant of input features with shape [N,C,H,W].
+            torch.Tensor: The gradient of input features with shape [N,C,H,W].
         """
         best_rbboxes = ctx.saved_tensors[0]
         points = ctx.points

mmcv/video/io.py

@@ -41,7 +41,7 @@ def get(self, key, default=None):
 class VideoReader:
     """Video class with similar usage to a list object.
 
-    This video warpper class provides convenient apis to access frames.
+    This video wrapper class provides convenient apis to access frames.
     There exists an issue of OpenCV's VideoCapture class that jumping to a
     certain frame may be inaccurate. It is fixed in this class by checking
     the position after jumping each time.

setup.cfg

@@ -23,4 +23,4 @@ default_section = THIRDPARTY
 # than "BA"
 [codespell]
 quiet-level = 3
-ignore-words-list = inout,hist,ba
+ignore-words-list = inout,hist,ba,ro,inh