Bottleneck block for ResNeXt. If style is "pytorch", the stride-two layer is the 3x3 conv layer, if it is "caffe", the stride-two lay

str: the string of the module

Set attribute, i.e. self.name = value This reloading prevent the teacher model from being registered as a nn.Module. The teacher modu

Add the fc branch which consists of a sequential of conv layers.

Add default meta keys. We set default meta keys including `pad_shape`, `scale_factor` and `img_norm_cfg` to avoid the case where no `

Add the fc branch which consists of a sequential of fc layers.

Adjust the brightness of image.

Apply Color transformation to image.

Adjust the image contrast.

Run forward function and calculate loss for box head in training.

Run forward function and calculate loss for box head in training.

Run forward function and calculate loss for box head in training.

Run forward function and calculate loss for box head in training.

Run forward function and calculate loss for box head in training.

Return coordinates of fiducial points in rectified_img; C.

Return inv_delta_C which is needed to calculate T.

Function to randomly crop images, bounding boxes, masks, semantic segmentation maps. Args: results (dict): Result dict fr

delete plugins for block if exist. Args: plugin_names (list[str]): List of plugins name to delete.

Create a superset of inputs needed to run test or train batches. Args: input_shape (tuple): Input batch dimensions. num_items (N

Create a superset of inputs needed to run test or train batches. Args: input_shape (tuple): Input batch dimensions. num_items (N

Create a superset of inputs needed to run test or train batches. Args: input_shape (tuple): Input batch dimensions. num_items (N

Create random test data for the ``mmdet.models.bbox_heads.bbox_head.BBoxHead.refine_boxes`` method.

Convert detection results to COCO json style.

Paste instance masks according to boxes. This implementation is modified from https://github.com/facebookresearch/detectron2/ Args:

Evaluation in Cityscapes protocol. Args: results (list): Testing results of the dataset. txtfile_prefix (str | None):

Filter images too small.

Filter bboxes and corresponding masks too small after shear augmentation.

Filter bboxes and corresponding masks too small after rotate augmentation.

Filter bboxes and masks too small or translated out of image.

Forward function for classification and regression parts.

Forward function for shared part.

Generate a dictionary that maps input to ID and ID to output.

Transform outputs for a single batch item into labeled boxes. This method is almost same as `ATSSHead._get_bboxes()`. We use sqrt(iou

Transform outputs for a single batch item into bbox predictions. Args: pred_maps_list (list[Tensor]): Prediction maps for differe