get images's path and name

get image's corresponding matrix and ground truth

self.img('input_img',t.Tensor(64,64)) self.img('input_imgs',t.Tensor(3,64,64)) self.img('input_imgs',t.Tensor(100,1,64,64))

Single-character type code.

Single-character type code.

load annotation from the text file :param p: :return:

This metaclass is assigned by default to all pybind11 types and is required in order for static properties to function correctly. Users may overri

This metaclass is assigned by default to all pybind11 types and is required in order for static properties to function correctly. Users may overri

Create a brand new Python type according to the `type_record` specification. Return value: New reference. */

Create a brand new Python type according to the `type_record` specification. Return value: New reference. */

Create the type which can be used as a common base for all classes. This is needed in order to satisfy Python's requirements for multiple inherit

Create the type which can be used as a common base for all classes. This is needed in order to satisfy Python's requirements for multiple inherit

A `static_property` is the same as a `property` but the `__get__()` and `__set__()` methods are modified to always use the object type instead of

A `static_property` is the same as a `property` but the `__get__()` and `__set__()` methods are modified to always use the object type instead of

self.plot('loss',1.00)

compute area of a polygon :param poly: :return:

compute area of a polygon :param poly: :return:

fit a rectangle from a parallelogram :param poly: :return:

resize image to a size multiple of 32 which is required by the network :param im: the resized image :param max_side_len: limi

fit a poly inside the origin poly, maybe bugs here... used for generate the score map :param poly: the text poly :param r: r in the p

Return a new view with all of the dimensions of length 1 removed

Return a new view with all of the dimensions of length 1 removed

* The standard NMS algorithm. */

* The standard NMS algorithm. */