* @brief MinorAxis * @return the ellipse minor axis */

* @brief MinorAxis * @return the ellipse minor axis */

* add a block to the pattern, return a pointer to the added block */

Builds the computation graph of the mask head of Feature Pyramid Network. rois: [batch, num_rois, (y1, x1, y2, x2)] Proposal boxes in normalized

how many cols does the block at block-col c has?

Gets the model ready for training. Adds losses, regularization, and metrics. Then calls the Keras compile() function.

Takes attributes of an image and puts them in one 1D array. Use parse_image_meta() to parse the values back. image_id: An int ID of the i

Calculates IoU of the given box with the array of the given boxes. box: 1D vector [y1, x1, y2, x2] boxes: [boxes_count, (y1, x1, y2, x2)]

Computes IoU overlaps between two sets of boxes. boxes1, boxes2: [N, (y1, x1, y2, x2)]. For better performance, pass the largest set first an

A generator that returns images and corresponding target class ids, bounding box deltas, and masks. dataset: The Dataset object to pick data

Builds the computation graph of the feature pyramid network classifier and regressor heads. rois: [batch, num_rois, (y1, x1, y2, x2)] Proposa

the internal ID of the edge

Load the specified image and return a [H,W,3] Numpy array.

Takes RGB images with 0-255 values and subtraces the mean pixel and converts it to float. Expects image colors in RGB order.

Takes a list of images and modifies them to the format expected as an input to the neural network. images: List of image matricies [he

Sets the model log directory and epoch counter. model_path: If None, or a format different from what this code uses then set a ne

* does this solver support the Schur complement for solving a system consisting of poses and * landmarks. Re-implemement in a derived solver, i

It's common to have tensors larger than the available data and pad with zeros. This function removes rows that are all zeros. x: [rows, colum

Often boxes are represented with matricies of shape [N, 4] and are padded with zeros. This removes zero boxes. boxes: [N, 4] matrix of boxes.

* @brief ConvexArea * @return the convex area */