IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

bulk change to unify **Required.** and **Optional.** (#6503)

Browse Source
This commit is contained in:
Patryk Elszkowski
2021-07-15 09:17:23 +02:00
committed by GitHub
parent ebb3c8518c
commit 20f10a43a4
109 changed files with 401 additions and 403 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
docs/ops/detection/ExperimentalDetectronPriorGridGenerator_6.md
View File

@@ -6,14 +6,14 @@
**Short description**: The *ExperimentalDetectronPriorGridGenerator* operation generates prior grids of specified sizes.
**Detailed description**: The operation takes coordinates of centres of boxes and adds strides with offset `0.5` to them to
**Detailed description**: The operation takes coordinates of centres of boxes and adds strides with offset `0.5` to them to
calculate coordinates of prior grids.
Numbers of generated cells is `featmap_height` and `featmap_width` if *h* and *w* are zeroes; otherwise, *h* and *w*,
respectively. Steps of generated grid are `image_height` / `layer_height` and `image_width` / `layer_width` if
Numbers of generated cells is `featmap_height` and `featmap_width` if *h* and *w* are zeroes; otherwise, *h* and *w*,
respectively. Steps of generated grid are `image_height` / `layer_height` and `image_width` / `layer_width` if
*stride_h* and *stride_w* are zeroes; otherwise, *stride_h* and *stride_w*, respectively.
`featmap_height`, `featmap_width`, `image_height` and `image_width` are spatial dimensions values from second and third
`featmap_height`, `featmap_width`, `image_height` and `image_width` are spatial dimensions values from second and third
inputs, respectively.
**Attributes**:
@@ -35,7 +35,7 @@ inputs, respectively.
* **Type**: int
* **Default value**: 0
* **Required**: *no*
* *w*
* **Description**: The *w* attribute specifies number of cells of the generated grid with respect to width.
@@ -51,7 +51,7 @@ inputs, respectively.
* **Type**: float
* **Default value**: 0.0
* **Required**: *no*
* *stride_y*
* **Description**: The *stride_y* attribute specifies the step of generated grid with respect to y coordinate.
@@ -64,19 +64,19 @@ inputs, respectively.
* **1**: A 2D tensor of type *T* with shape `[number_of_priors, 4]` contains priors. **Required.**
* **2**: A 4D tensor of type *T* with input feature map `[1, number_of_channels, featmap_height, featmap_width]`. This
* **2**: A 4D tensor of type *T* with input feature map `[1, number_of_channels, featmap_height, featmap_width]`. This
operation uses only sizes of this input tensor, not its data.**Required.**
* **3**: A 4D tensor of type *T* with input image `[1, number_of_channels, image_height, image_width]`. The number of
channels of both feature map and input image tensors must match. This operation uses only sizes of this input tensor,
* **3**: A 4D tensor of type *T* with input image `[1, number_of_channels, image_height, image_width]`. The number of
channels of both feature map and input image tensors must match. This operation uses only sizes of this input tensor,
not its data. **Required.**
**Outputs**
* **1**: A tensor of type *T* with priors grid with shape `[featmap_height * featmap_width * number_of_priors, 4]`
* **1**: A tensor of type *T* with priors grid with shape `[featmap_height * featmap_width * number_of_priors, 4]`
if flatten is `true` or `[featmap_height, featmap_width, number_of_priors, 4]`, otherwise.
If 0 < *h* < `featmap_height` and/or 0 < *w* < `featmap_width` the output data size is less than
`featmap_height` * `featmap_width` * `number_of_priors` * 4 and the output tensor is filled with undefined values for
If 0 < *h* < `featmap_height` and/or 0 < *w* < `featmap_width` the output data size is less than
`featmap_height` * `featmap_width` * `number_of_priors` * 4 and the output tensor is filled with undefined values for
rest output tensor elements.
**Types**