Use 3x3 convolutions, with stride 2 and padding 1.

Create an array of visually distinctive RGB values. Args: - rgb: boolean, whether to return in RGB or BGR order. BGR corresponds to

Args: - save_vis: whether to save visualize examplars

Call this method to enable sparsity. If init(...) was called with allow_recompute_mask=False AND sparsity is disabled, pruned field can be Non

1x1 convolution

Execute the demo, i.e. feed all of the desired input through the network and obtain predictions. Gracefully handles .txt, or video file (.mp4,

Concatenate images along a vertical axis and save them. Accept RGB images, and convert to BGR for OpenCV to save them. Args: - img_list: list

Get the string associated with an id.

ADE20K non-Scene-Parsing-Challenge data provides instance masks, and stores the instance IDs in the "B" channel of an RGB image. However, the no

Args: - segment_mask - label_map Returns: - class_mode_idx: integer representing most populous class index

Note output and target sizes are N or N * L or N * H * W Args: - output: Pytorch tensor represeting predicted label map,

Any unmapped pixels (given no corresponding RGB values) will default to zero'th-class. Args: - label_img_rgb: Numpy array of shape (M,N,3) - d

Write a classname over each connected component of a label map as long as the connected component has a sufficiently large number of pixels (sp

Args: - pred_folder - image_path - pred - target_img - id_to_class_name_map Return

labelsndarray of dtype int Labeled array, where all connected regions are assigned the same integer value. numint, optional Number of labe

Function to be called outside. Explicitly for inference on our test datasets. Suppose universal taxonomy has N_u classes, and test taxonomy

Populate the train->universal, and universal->test mappings. Args: - None Returns: - None

Computes the precision@k for the specified values of k

Computes the precision@k for the specified values of k

Computes reparameterized weight value to assign value to module attribute with name `name`. See WeightNorm class for example.

3x3 convolution with padding

Args: - label map in `semseg`-format taxonomy, e.g. `coco-panoptic-133` or `coco-panoptic-133-relabeled` Retur

Converts a network's parameters and buffers to dtype.

Args: - save_fpath Returns: - None

Args: binary_mask (ndarray): numpy array of shape (H, W), where H is the image height and W is the image width. E

Args: segment: numpy array of shape Nx2, containing all the points in the polygon. color: color of the polygon. Refer

Args: text (str): class label position (tuple): a tuple of the x and y coordinates to place text on image.

Save per-class IoUs and mIoU to a .txt file. When evaluating a model trained within the universal taxonomy, on the val split