Determines if the given filename has a suffix that identifies it as a test. Args: filename: The input filename. Returns: True if 'filena

Gets the module's output format.

Sets the module's counting options.

Sets the module's error-message filters. These filters are applied when deciding whether to emit a given error message. Args: filters: A s

Sets the module's output format.

If confidence >= verbose, category passes filter and is not suppressed.

Returns the TestResult for the ad hoc test.

Converts a 4-dimensional array to blob proto. If diff is given, also convert the diff. You need to make sure that arr and diff have the same shape

Convert a blob proto to an array. In default, we will just return the data, unless return_diff is True, in which case we will return the diff.

In addition, MKL comes with an additional function axpby that is not present in standard blas. We will simply use a two-step (inefficient, of course)

Simple classifier that is 50% certain that the annotation is correct

Produce a color image from a bunch of labels

Configure amount of context for cropping. If context is included, make the special input mean for context padding. Take

Returns the TestCase object for the test that's currently running, or NULL if no test is running. L < mutex_

Do windowed detection over Selective Search proposals by extracting the crop and warping to the input dimensions of the net.

Draws a caffe net and returns the image string encoded using the given extension. Input: caffe_net: a caffe.proto.caffe_pb2.NetParameter prot

Creates an image embedded in HTML base64 format.

Controls whether events will be forwarded to listeners_. Set to false in death test child processes.

Returns true iff this is NAN (not a number).

Gets the message associated with the test part.

Takes an image name, resize it and crop the center square

* @brief Sets the loss associated with a top blob at a given index. */

STL-style container methods.

Parse command line options and start the server.

Gets the number of successful tests.

Returns the number of the test properties.

Time: benchmark the execution time of a model.

Gets the number of all test parts. This is the sum of the number of successful test parts and the number of failed test parts.

The constructor of SingleFailureChecker remembers where to look up test part results, what type of failure we expect, and what substring the failure m

* @param param provides AccuracyParameter accuracy_param, * with AccuracyLayer options: * - top_k (\b optional, default 1). * Sets