fix softdvpp python api doc

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/soft_dvpp_decode_random_crop_resize_jpeg_op.cc

@@ -76,7 +76,8 @@ Status SoftDvppDecodeRandomCropResizeJpegOp::Compute(const std::shared_ptr<Tenso
     RETURN_IF_NOT_OK(CVTensor::CreateFromMat(out_rgb_img, &cv_tensor));
     *output = std::static_pointer_cast<Tensor>(cv_tensor);
   } catch (const cv::Exception &e) {
-    RETURN_STATUS_UNEXPECTED("Error in soft dvpp image decode and resize.");
+    std::string error = "Error in SoftDvppDecodeRandomCropResizeJpegOp:" + std::string(e.what());
+    RETURN_STATUS_UNEXPECTED(error);
   }
   return Status::OK();
 }

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/soft_dvpp_decode_resize_jpeg_op.cc

@@ -41,8 +41,6 @@ Status SoftDvppDecodeResizeJpegOp::Compute(const std::shared_ptr<Tensor> &input,
     int input_h = 0;
     RETURN_IF_NOT_OK(GetJpegImageInfo(input, &input_w, &input_h));
 
-    SoftDpCropInfo crop_info{0, 0, 0, 0};
-
     if (target_width_ == 0) {
       if (input_h < input_w) {
         CHECK_FAIL_RETURN_UNEXPECTED(input_h != 0, "The input height is 0");
@@ -71,7 +69,8 @@ Status SoftDvppDecodeResizeJpegOp::Compute(const std::shared_ptr<Tensor> &input,
     RETURN_IF_NOT_OK(CVTensor::CreateFromMat(out_rgb_img, &cv_tensor));
     *output = std::static_pointer_cast<Tensor>(cv_tensor);
   } catch (const cv::Exception &e) {
-    RETURN_STATUS_UNEXPECTED("Error in soft dvpp image decode and resize.");
+    std::string error = "Error in SoftDvppDecodeResizeJpegOp:" + std::string(e.what());
+    RETURN_STATUS_UNEXPECTED(error);
   }
   return Status::OK();
 }

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/utils/soft_jpegd.cc

@@ -154,13 +154,13 @@ uint32_t SoftJpegd::ConfigVpcInputData(struct VpcInfo *vpc_input_info, int32_t *
   if ((vpc_input_info->format == INPUT_YUV420_PLANNER || vpc_input_info->format == INPUT_YUV422_PLANNER) &&
       (*width % num2 == 1)) {
     *width = reinterpret_cast<int32_t>(AlignUp(*width, num2));
-    JPEGD_LOGW("vpc width needs align up %d, height is %d.", width, height);
+    JPEGD_LOGW("vpc width needs align up %d, height is %d.", *width, *height);
   }
 
   if ((vpc_input_info->format == INPUT_YUV420_PLANNER || vpc_input_info->format == INPUT_YUV422_PLANNER) &&
       (*height % num2 == 1)) {
     *height = reinterpret_cast<int32_t>(AlignUp(*height, num2));
-    JPEGD_LOGW("vpc height needs align up %d, height is %d.", width, height);
+    JPEGD_LOGW("vpc height needs align up %d, height is %d.", *width, *height);
   }
 
   vpc_input_info->addr = soft_decode_out_buf_;

mindspore/dataset/transforms/vision/c_transforms.py

@@ -571,9 +571,9 @@ class RandomResizedCropWithBBox(cde.RandomCropAndResizeWithBBoxOp):
         size (Union[int, sequence]): The size of the output image.
             If size is an int, a square crop of size (size, size) is returned.
             If size is a sequence of length 2, it should be (height, width).
-        scale (tuple, optional): Range (min, max) of respective size of the original
+        scale (tuple, optional): Range [min, max) of respective size of the original
             size to be cropped (default=(0.08, 1.0)).
-        ratio (tuple, optional): Range (min, max) of aspect ratio to be cropped
+        ratio (tuple, optional): Range [min, max) of aspect ratio to be cropped
             (default=(3. / 4., 4. / 3.)).
         interpolation (Inter mode, optional): Image interpolation mode (default=Inter.BILINEAR).
             It can be any of [Inter.BILINEAR, Inter.NEAREST, Inter.BICUBIC].
@@ -610,9 +610,9 @@ class RandomResizedCrop(cde.RandomCropAndResizeOp):
         size (Union[int, sequence]): The size of the output image.
             If size is an int, a square crop of size (size, size) is returned.
             If size is a sequence of length 2, it should be (height, width).
-        scale (tuple, optional): Range (min, max) of respective size of the original
+        scale (tuple, optional): Range [min, max) of respective size of the original
             size to be cropped (default=(0.08, 1.0)).
-        ratio (tuple, optional): Range (min, max) of aspect ratio to be cropped
+        ratio (tuple, optional): Range [min, max) of aspect ratio to be cropped
             (default=(3. / 4., 4. / 3.)).
         interpolation (Inter mode, optional): Image interpolation mode (default=Inter.BILINEAR).
             It can be any of [Inter.BILINEAR, Inter.NEAREST, Inter.BICUBIC].
@@ -831,12 +831,12 @@ class RandomCropDecodeResize(cde.RandomCropDecodeResizeOp):
     Equivalent to RandomResizedCrop, but crops before decodes.
 
     Args:
-        size (Union[int, sequence], optional): The size of the output image.
+        size (Union[int, sequence]): The size of the output image.
             If size is an int, a square crop of size (size, size) is returned.
             If size is a sequence of length 2, it should be (height, width).
-        scale (tuple, optional): Range (min, max) of respective size of the
+        scale (tuple, optional): Range [min, max) of respective size of the
             original size to be cropped (default=(0.08, 1.0)).
-        ratio (tuple, optional): Range (min, max) of aspect ratio to be
+        ratio (tuple, optional): Range [min, max) of aspect ratio to be
             cropped (default=(3. / 4., 4. / 3.)).
         interpolation (Inter mode, optional): Image interpolation mode (default=Inter.BILINEAR).
             It can be any of [Inter.BILINEAR, Inter.NEAREST, Inter.BICUBIC].
@@ -986,12 +986,12 @@ class SoftDvppDecodeRandomCropResizeJpeg(cde.SoftDvppDecodeRandomCropResizeJpegO
     The usage scenario is consistent with SoftDvppDecodeReiszeJpeg.
 
     Args:
-        size (Union[int, sequence], optional): The size of the output image.
+        size (Union[int, sequence]): The size of the output image.
             If size is an int, a square crop of size (size, size) is returned.
             If size is a sequence of length 2, it should be (height, width).
-        scale (tuple, optional): Range (min, max) of respective size of the
+        scale (tuple, optional): Range [min, max) of respective size of the
             original size to be cropped (default=(0.08, 1.0)).
-        ratio (tuple, optional): Range (min, max) of aspect ratio to be
+        ratio (tuple, optional): Range [min, max) of aspect ratio to be
             cropped (default=(3. / 4., 4. / 3.)).
         max_attempts (int, optional): The maximum number of attempts to propose a valid crop_area (default=10).
             If exceeded, fall back to use center_crop instead.