Get ann ids that satisfy given filter conditions. default skips that filter :param imgIds (int array) : get anns for given imgs

Load anns with the specified ids. :param ids (int array) : integer ids specifying anns :return: anns (object array) : l

Params: dets - a numpy array of detections in the format [[x1,y1,x2,y2,score],[x1,y1,x2,y2,score],...] Requires: this metho

Convert annotation which can be polygons, uncompressed RLE to RLE. :return: binary mask (numpy 2D array)

Get img ids that satisfy given filter conditions. :param imgIds (int array) : get imgs for given ids :param catIds (int array

Load anns with the specified ids. :param ids (int array) : integer ids specifying img :return: imgs (object array) : lo

Draw a circle on an image using only numpy methods.

Takes a bounding box in the form [x1,y1,x2,y2] and returns z in the form [x,y,s,r] where x,y is the centre of the box and s is the scale/ar

Takes a bounding box in the centre form [x,y,s,r] and returns it in the form [x1,y1,x2,y2] where x1,y1 is the top left and x2,y2 is the bot

Display the specified annotations. :param anns (array of object): annotations to display :return: None

Merge config dictionary a into config dictionary b, clobbering the options in b whenever they are also specified in a.

Prepare ._gts and ._dts for evaluation based on params :return: None

Assigns detections to tracked object (both represented as bounding boxes) Returns 3 lists of matches, unmatched_detections and unmatched_trac

Load a config from file filename and merge it into the default options.

filtering parameters. default skips that filter. :param catNms (str array) : get cats for given cat names :param supNms (str

Returns the current bounding box estimate.

Print information about the annotation file. :return:

Combine matrices by concatenating their cols: x.col(1),y.col(1),z.col(1) ... x.col(n),y.col(n),z.col(n)

Computes IUO between two bboxes in the form [x1,y1,x2,y2]

Load cats with the specified ids. :param ids (int array) : integer ids specifying cats :return: cats (object array) : l

Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class} :param data (numpy.ndarray)

Load result file and return a result api object. :param resFile (str) : file name of result file :return: res (obj)

Getting argmax over the first 2 axes

Parse input arguments.

Advances the state vector and returns the predicted bounding box estimate.