Update to PiP (bug fixes)

pip_tool.zip

I've been trying to stay up to date on emails I've received for bugs that have popped up with PiP, I wanted to cover one of the bugs.  The interactive tutorial included with PiP is displayed on the bottom of the PiP instance widget in a green bar with a QLabel widget.  I noticed even after the completion of the tutorial that interacting with the resize button would sometimes cause the green bar to turn back on...

PiP tutorial QLabel widget with css style

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# update tutorial label to resize to window self.main_class.label.setFixedSize( QtCore.QSize( new_width, self.main_class.label.height() ) ) self.main_class.label.move( 0, self.parent().height() - self.main_class.label.height() )

Here is the fix...

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# update tutorial label to resize to window if self.main_class.label.width() > 1: self.main_class.label.setFixedSize( QtCore.QSize( new_width, self.main_class.label.height() ) ) self.main_class.label.move( 0, self.parent().height() - self.main_class.label.height() )

So it was just a simple if statement with comparing the use of the tutorial widget.  My green tutorial bar is just a simple QLabel with a green style sheet background applied to it, when the tutorial is active it should automatically resize with the window.  In an instance when it is NOT active - such as after the tutorial is completed - it should go away (width value of 0).  So a simple check of a valid width will suffice in determining if we want to update the width along with the window resize changes.

Scripting A Simple Pose Reader

I recently learned this setup and just wanted to share a scripted version I had been working on.  For anyone who has never used a pose reader setup, it's a fantastic way to make your actions that are driven by specific poses to be more stable.  When I first learned rigging in school, I was taught to use set driven keyframes to drive an object based on a certain pose, so I included that setup in this blog as a comparison to the simple pose reader setup.  As a side note, the Pirate rig that is in my latest demo reel actually utilized this "simple pose reader" quite a bit - as I was learning the technique I started scripting it.  I used it to drive things like special deformation joints, corrective blendshapes, auto hips and shoulders, as well as accessories on the pirate's belt would move as the user interacts with the leg controls.  It was quite fun to work with such a simple and effective setup.

Anyway, here is a quick gif video of an example comparing two setups, the green is an action driven by a pose through an SDK - and the red is an action driven by a pose through the PSR. 

The SDK setup is a simple, the joint's rotateZ attribute from 0-90 will drive the translateY attribute of the sphere from 0-1.  Very limited without adding more animations.

Here is the simple graph setup for the PSR to drive the movement of the sphere.  To summarize, you are utilizing the PSR's controlled rotation values and remapping those values to different values that are sent over to the sphere (in this instance a single rotation of the joint drives the translate y of the sphere).

And here is the script I was working with...

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# Maya imports import pymel.core as pm import maya.OpenMaya as om def simple_pose_reader( root_joint ): """ Function to create a simple pose reader with "bend", "twist", "side" attributes on the selected joint to use to drive other systems Args: root_joint (pynode) : a pynode object representing the main joint used for the pose reading Returns: None """ def first_or_default( sequence, default=None ): """ Function to return the first item in a list or a default value Args: sequence (list) : a list of items to parse default (object) : a default value to return back if nothing was parsed from sequence Returns: The first object within the sequence or a default value """ for item in sequence: return item return default def get_bone_draw_axis( joint, default=om.MVector(0,1,0) ): """ Function to return the first item in a list or a default value Args: joint (pynode) : the pynode that represents the joint to determine the draw_axis of default (object) : a default value to return back if the draw_axis was not determined Returns: A MVector type that represents the normalized direction of the joint draw axis """ try: child = first_or_default( joint.getChildren( type='joint' ) ) except: raise ValueError( joint + " does not have any children" ) # Get the local position of the child joint ( localspace is offset from the parent space ) pos = [ value for value in child.getTranslation( localSpace=True ) ] # Check which axis is greater than the others, this will determine the draw_axis vector # X Axis if abs( pos[0] ) > abs( pos[1] ) and abs( pos[0] ) > abs( pos[2] ): if pos[0] > 0.0: return om.MVector( 1, 0, 0 ) return om.MVector( -1, 0, 0 ) # Y Axis elif abs( pos[1] ) > abs( pos[0] ) and abs( pos[1] ) > abs( pos[2] ): if pos[1] > 0.0: return om.MVector( 0, 1, 0 ) return om.MVector( 0, -1, 0 ) # Z Axis elif abs( pos[2] ) > abs( pos[0] ) and abs( pos[2] ) > abs( pos[1] ): if pos[2] > 0.0: return om.MVector( 0, 0, 1 ) return om.MVector( 0, 0, -1 ) return default def snap_to_transform( snap_transform, snap_to_transform ): """ Function to snap a transform to another transform based on position and orientation Args: snap_transform (pynode) : the object to snap snap_to_transform (pynode) : the object to snap to Returns: None """ snap_transform.setTranslation( snap_to_transform.getTranslation( worldSpace=True ), worldSpace=True ) snap_transform.setRotation( snap_to_transform.getRotation( worldSpace=True ), worldSpace=True ) # ensure pynode root_joint = pm.PyNode( root_joint ) setup_dict = { 'root_joint' : root_joint, 'child_joint' : first_or_default( root_joint.getChildren( type='joint' ) ), 'parent' : root_joint.getParent() } # create pose reader attributes on root_joint for attr in [ 'Bend', 'Twist', 'Side' ]: setup_dict['root_joint'].addAttr( 'psr_' + attr.lower(), attributeType='float', niceName='PSR ' + attr, keyable=True ) attr_name_list = [ setup_dict['root_joint'].name(), '.psr_', attr.lower() ] setup_dict[ 'attr_psr_' + attr.lower() ] = pm.PyNode( ''.join( attr_name_list ) ) # create organizing groups setup_dict[ 'psr_main_grp' ] = pm.group( name=setup_dict['root_joint'].name() + '_psrMain_GRP', empty=True ) setup_dict[ 'psr_target_grp' ] = pm.group( name=setup_dict['root_joint'].name() + '_psrTarget_GRP', empty=True ) setup_dict[ 'psr_twist_grp' ] = pm.group( name=setup_dict['root_joint'].name() + '_psrTwist_GRP', empty=True ) # create locators for loc in [ 'psrMain', 'psrMainTarget', 'psrMainUp', 'psrTwist', 'psrTwistTarget', 'psrTwistUp' ]: loc_name_list = [ setup_dict['root_joint'].name(), '_', loc, '_LOC' ] setup_dict[ loc ] = pm.spaceLocator( name= ''.join( loc_name_list ) ) setup_dict[ loc ].setParent( setup_dict['psr_main_grp'] ) # target locators parent under the target group, which is driven by the root_joint # the main grp is parented under the root_joint parent to maintain aiming without # taking in extra transforms from the root_joint or it's children [ setup_dict[ item ].setParent( setup_dict[ 'psr_target_grp' ] ) for item in [ 'psrMainTarget', 'psrTwistTarget' ] ] [ setup_dict[ item ].setParent( setup_dict[ 'psr_main_grp' ] ) for item in [ 'psr_target_grp', 'psr_twist_grp' ] ] [ setup_dict[ item ].setParent( setup_dict[ 'psr_twist_grp' ] ) for item in [ 'psrTwist', 'psrTwistUp' ] ] if setup_dict[ 'parent' ]: setup_dict[ 'psr_main_grp' ].setParent( setup_dict[ 'parent' ] ) # align main group to the selected root joint snap_to_transform( setup_dict[ 'psr_main_grp' ], setup_dict[ 'root_joint' ] ) draw_axis = get_bone_draw_axis( setup_dict['root_joint'] ) child_trans = setup_dict[ 'child_joint' ].getAttr( 't' ) child_offset = om.MVector( child_trans[0], child_trans[1], child_trans[2] ) # X draw axis if draw_axis == om.MVector( 1, 0, 0 ) or draw_axis == om.MVector( -1, 0, 0 ): main_up_offset = om.MVector( child_offset.x, child_offset.x, 0 ) main_up_vector = om.MVector( 0, -1, 0 ) twist_target_offset = om.MVector( 0, child_offset.x, 0 ) setup_dict[ 'twist_driver_rot' ] = [ '.rotateY', '.rotateX', '.rotateZ' ] # Y draw axis elif draw_axis == om.MVector( 0, 1, 0 ) or draw_axis == om.MVector( 0, -1, 0 ): main_up_offset = om.MVector( 0, child_offset.y, child_offset.y ) main_up_vector = om.MVector( 0, 0, -1 ) twist_target_offset = om.MVector( 0, child_offset.y, 0 ) setup_dict[ 'twist_driver_rot' ] = [ '.rotateZ', '.rotateY', '.rotateX' ] # Z draw axis else: main_up_offset = om.MVector( child_offset.z, 0, child_offset.z ) main_up_vector = om.MVector( -1, 0, 0 ) twist_target_offset = om.MVector( 0, 0, child_offset.z ) setup_dict[ 'twist_driver_rot' ] = [ '.rotateX', '.rotateY', '.rotateY' ] setup_dict[ 'psrMainTarget' ].setTranslation( child_offset * 0.5, localSpace=True, relative=True ) for loc in ['psrMain', 'psrTwistUp']: setup_dict[ loc ].setTranslation( child_offset * -1.0, localSpace=True, relative=True ) setup_dict[ 'psrTwistTarget' ].setTranslation( twist_target_offset * -1.0, localSpace=True, relative=True ) setup_dict[ 'psrMainUp' ].setTranslation( main_up_offset * -1.0, localSpace=True, relative=True ) setup_dict[ 'psrMainAC' ] = pm.aimConstraint( setup_dict[ 'psrMainTarget' ], setup_dict[ 'psrMain' ], maintainOffset=True, aimVector=[ draw_axis.x, draw_axis.y, draw_axis.z ], upVector=[ main_up_vector.x, main_up_vector.y, main_up_vector.z ], worldUpType='objectrotation', worldUpObject=setup_dict[ 'psrMainUp' ].name(), weight=1.0 ) setup_dict[ 'psrTwistAC' ] = pm.aimConstraint( setup_dict[ 'psrTwistTarget' ], setup_dict[ 'psrTwist' ], maintainOffset=True, aimVector=[ main_up_vector.x, main_up_vector.y, main_up_vector.z ], upVector=[ draw_axis.x * -1, draw_axis.y * -1, draw_axis.z * -1 ], worldUpType='objectrotation', worldUpObject=setup_dict[ 'psrTwistUp' ].name(), weight=1.0 ) setup_dict[ 'psr_target_grp' ].setParent( setup_dict[ 'root_joint' ] ) # the bend and side rotations of main psr locator drives the twist psr grp # this allows the child twist locator (under the twist psr grp) to maintain # an accurate twist rotation only pm.connectAttr( setup_dict['psrMain'] + setup_dict['twist_driver_rot'][0], setup_dict[ 'psr_twist_grp'] + setup_dict['twist_driver_rot'][0], force=True ) pm.connectAttr( setup_dict['psrMain'] + setup_dict['twist_driver_rot'][2], setup_dict[ 'psr_twist_grp'] + setup_dict['twist_driver_rot'][2], force=True ) # connect final calculations to the custom attributes on the root_joint # these can be used for various setups that are driven from the pose reader pm.connectAttr( setup_dict['psrMain'] + setup_dict['twist_driver_rot'][0], setup_dict[ 'attr_psr_bend' ], force=True ) pm.connectAttr( setup_dict['psrMain'] + setup_dict['twist_driver_rot'][2], setup_dict[ 'attr_psr_side' ], force=True ) pm.connectAttr( setup_dict['psrTwist'] + setup_dict['twist_driver_rot'][1], setup_dict[ 'attr_psr_twist' ], force=True ) selection = pm.ls( selection=True ) if selection: simple_pose_reader( selection[0] )

Maya Picture in Picture Tool (PiP) Development Part 2

I haven't had too much time to devote to getting PiP fully complete in a while - I am to a point now where I would like to put up a beta download and see what kind of feedback I get for improvements.

pip_tool.zip


Just unzip the pip_tool folder to your Maya python path (example, your documents/maya/scripts/ folder).  The code to launch the tool, from a Python tab in the Maya script Editor...

1 2	import pip_tool.pip as PiP PiP.jbPiP_UI()

This can be dragged to a shelf for later use.


I recently posted about my exploration with unit tests, I wanted to also post some of my early work with unit testing for PiP.  I feel like most folks who are early on in their learning path with unit tests would benefit from seeing examples of what kinds of things to test for.  This isn't my most current test library for PiP but it should get the point across...

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""" Jason Breneman unittest_pip.py This file contains the unit test library for the Picture in Picture tool. Some unit tests do not pass specifically due to launching Maya through a standalone session. """ # maya libraries import maya.standalone import maya.cmds as cmds try: maya.standalone.initialize() except: pass # python libraries import unittest import os import uuid import shutil import logging logging.basicConfig( level=logging.INFO ) logger = logging.getLogger( __name__ ) logger.info( "PiP Unit Test starting...\n" ) MAYA_VERSION = cmds.about( version=True ) MAYA_APP_DIR = os.environ["MAYA_APP_DIR"] ROOT_DEV_DIR = sys.path[0].replace( "\\", "/" ).replace( "/pip_tool/tests", "" ) ROOT_TOOL_PATH = MAYA_APP_DIR + "/scripts" logger.info( "'Maya Version' : " + MAYA_VERSION + "\n" ) logger.info( "'MAYA_APP_DIR' : " + MAYA_APP_DIR + "\n" ) class TestLibrary( unittest.TestCase ): """ Test Library unit test class for Picture in Picture tool """ def setUp( self ): """ Method to provide any standard setup instructions for a test case function Args: self (object) : reference to the TestLibrary class instance Returns: None """ pass def tearDown( self ): """ Method to provide any standard tear down instructions for a test case function Args: self (object) : reference to the TestLibrary class instance Returns: None """ pass def test_files_installed_check( self ): """ Test method for copying files from the development environment to the MAYA_APP_DIR path Args: self (object) : reference to the TestLibrary class instance Returns: None """ logger.info( "*** TestCase *** Remove existing install, and apply a fresh install\n" ) if os.path.exists( ROOT_TOOL_PATH + "/pip_tool" ): shutil.rmtree( ROOT_TOOL_PATH + "/pip_tool" ) shutil.copytree( ROOT_DEV_DIR + "/pip_tool", ROOT_TOOL_PATH + "/pip_tool" ) def test_import_check( self ): """ Test method to check for a successful module import Args: self (object) : reference to the TestLibrary class instance Returns: None """ logger.info( "*** TestCase *** Import pip_tool module\n" ) import_success = False error_message = "TestCase Failure, PiP module did not import correctly.\n" try: import pip_tool.pip as PiP import_success = True except: pass self.assertTrue( import_success, error_message ) def test_pip_instance( self ): """ Test method to check a successful instantiation of PiP Args: self (object) : reference to the TestLibrary class instance Returns: None """ logger.info( "*** TestCase *** Load a PiP instance\n" ) import pip_tool.pip as PiP reload( PiP ) loadout = PiP.jbPiP_UI() loadout_exists = cmds.modelEditor( loadout.name_instance + "__ME", query=True, exists=True ) error_message = "TestCase Failure, PiP loadout does not exist. Maya UI required for successful TestCase\n" self.assertTrue( loadout_exists, error_message ) def test_pip_callback_newscene( self ): """ Test method to check if the new scene callback gets properly deleted when a new scene event occurs Args: self (object) : reference to the TestLibrary class instance Returns: None """ logger.info( "*** TestCase *** Delete PiP on New Scene Callback\n" ) import pip_tool.pip as PiP reload( PiP ) loadout = PiP.jbPiP_UI() cmds.file( new=True, force=True ) self.assertEquals( loadout.newscene_callbackid, None ) # if starting from a command prompt, load unit test class instance if __name__ == "__main__": unittest.main()

From these examples, you can see I started with testing the results of early development stages such as moving files from my development path to the Maya script path, or just a simple import check, UI loading checks, etc.  Kind of a neat thing to note here is my unit tests are being ran from the windows command line to launch a standalone Maya session (no UI).  The problem with this is PiP is a UI based tool, so as I kept developing more tests I realized I could run some tests in command line but to run some specific tests I would need a normal Maya session.

The current beta release seems to have a few graphical glitches on certain computer setups - that and a few other "nice to haves" are the known issues that I am wanting to polish before I consider it complete. Anyway, that's all for now!

Discovering the Benefits of Unit Testing and TDD

In the past few years I kept hearing the term unit testing pop up here and there.  I seemed to always brush it aside, I figured I would eventually find time to learn about it what it is and why I kept hearing so much buzz about it.  Well I finally found the time when I was developing my picture in picture tool.  And I must say, I am now convinced of how awesome it is.

I won't go super in depth, there are plenty of blogs, documentation and the like that go over the details of unit testing (python docs link).  I will say that when utilizing unit testing, I feel much more confident in the stability of my code and my ability to track down future bugs.

Unit testing in general can be described as implementing small testing methods that validate small bits of actual code.  It may seem silly to write "test code" for your code.  Typically what I refer to as "linear coding", you end up testing your code yourself while you write it.  So why spend all that extra time on code that isn't used within the tool?  Sanity, is my answer.  I've built small tools and large tools, there are always easy bugs and hard bugs to find within the code.  Sometimes finding a bug is simple, but it's always at least a matter of minutes to fix something, and it would be nice if I could apply the fix, have all my tests pass with said fix and be confident that the code is now fixed as well as stable.  After spending the time reading up on unit testing, I found that I regretted not researching it sooner.

Along my path of learning about unit testing, I have also created an initiative at work to try and train the rest of the TAs to understand and implement unit testing within their normal tool development process. While researching unit testing, it eventually lead me to learning about Test Driven Development (TDD).

The concept of TDD, being that you start with writing your unit tests that are setup to actually fail, that failure then prompts you to create the code to make the test succeed, and as you add new code you refactor the existing code.  I actually really enjoy this methodology, as it is a very helpful guide to creating very stable code.  I have noted a few helpful things I have been practicing this on my own..

• Write a lot of useful and relevant unit tests, I found that breaking my code down into testable chunks helped me to consider all the areas that could have led to possible future bugs.  This actually helped me in understanding why some pieces of code could be more bug prone.  The more tests, the more detailed report of the stability of your code.  Along with this, I would be sure those test functions are very narrow and focused on a specific testable variable.

• Find a new bug? Write a new test if you can, and add it to your test suite.  This will help continue the population of updated unit tests and will help keep your code stable as bugs are fixed.

• Readability and good commenting count, especially in your test suite methods!  The point of these unit test suites is to improve the quality of your code and to assist in future bug fixes.  It's always good to consider the future bug fixer may not be you.  So commenting and properly naming the unit test function is essential.  The entire purpose of running the test suite is to quickly find bugs, if it's difficult to read or understand what the test suite is doing it may slow down the process of fixing said bug(s).  I tend to like the function naming that most people suggest: test_import_module_validation() instead of something like test_import().  In this instance, try to avoid short handing the name of a function.

• Take advantage of the error message argument within the assert functions.  The purpose of these unit tests is to provide success/failure checks along with information, the error message is a great opportunity to provide more information to the test runner on how the test failed. It's great to use unit tests within TDD to make guide you in creating solid code, but always remember that the person doing the tests in the future may not be the original author, so the more information the better.

• Not necessarily related to learning/writing unit tests, but if you are learning with the goal of implementing this among a team it's a good idea to document everything.  What it is, how to use it, best practices, pros, cons - the works.  Provide a path for the team to learn the information (direction), encourage them to refer back to the information (documentation) when needed, and also give them a time to learn it (training).  

Maya Picture in Picture Tool (PiP) Development Part 1

It's been a while since I last posted but I wanted to write about a tool I had been planning for a while and finally found some time to start developing.  For now, I would consider this tool in an alpha state and I do plan on having it available for download in the near future once it's fully vetted.

Alpha recording of PiP (Maya 2016)

This is PiP, it is a tool within Maya to create view port within a view port (picture in picture) setup. The original idea came from watching a lot of animators at work creating tear off model panels with a camera setup in the game camera's angle to see how their animation was reading visually.  Most of our animators have at least 2 monitors, their main monitor is typically where they animate on their primary view port, but they also tear off a copy of the model panel with the game camera ( along with the graph editor and other tools) thrown onto the secondary monitor.  This may not get to some people - but I have taken it as a personal goal to try to keep folks centered and focused in the same monitor space as much as possible - which led to the idea "can you nest a model panel into the existing model panel?"  Which leads to other crazy ideas such as "can graph splines be represented in the view port?" and "can we view silhouette and textures and animate at the same time?"

PiP allows the artist to view multiple cameras at once within the context of their main work and thought process - rather than diverting their gaze to a second monitor to see how things look, and later returning back to work.  You can make as many PiP window instances as you desire, resize them to your liking, and even play back animations in all view ports at once to really get a good idea of how things are working together.

Throughout the initial brain storming of this I started focusing on the other practices for multiple model panels and cameras such as a face camera or a face rig osipa-style slider control camera - seeing the multiple disciplinary uses for PiP really made me think twice about how useful it could be if I ever found time to develop it!

Well I found some time, it really isn't a large tool - I have parented ui objects to the view port in the past, it was more of figuring out the intricacies of doing it with model editor widgets.  I wanted the interface to be super simple for anyone to use, I also wanted to make sure older versions of Maya could use the tool.  I am using maya.cmds instead of pymel.core for a lot of the work just to help with speed although it's not really a very "procedurally heavy" tool, the speed differences are something I am lot more aware of in the past few years of working with pymel.  Any version of Maya that is older than 2014 will utilize PyQt for it's UI setup, and newer versions will utilize PySide.  This is just some of the code I used to configure which UI library to use based on the maya version.

# Maya libraries
import maya.OpenMaya as om
import maya.OpenMayaUI as omUI
import maya.cmds as cmds

# Find module file path used for icon relative path finding
module_file_path = __file__.replace( "\\", "/" ).rpartition( "/" )[0]
mayaMainWindowPtr = omUI.MQtUtil.mainWindow()
MAYA_VERSION = cmds.about( version=True ).replace( " x64", "" )
MAYA_UI_LIBRARY = "PyQt"

# PyQt
if int( MAYA_VERSION ) < 2014:
    from PyQt4 import QtGui
    from PyQt4 import QtCore
    import sip
    wrapInstance = sip.wrapinstance
    
# PySide
else:
    from PySide import QtCore
    from PySide import QtGui
    from shiboken import wrapInstance
    MAYA_UI_LIBRARY = "PySide"
    QString = str
    
mayaMainWindow = wrapInstance( long( mayaMainWindowPtr ), QtGui.QWidget )

And here is snippet of code used to make a new model editor nested to the main model editor.  Nothing super crazy, the main idea here is using maya's ui api to get the main view port - wrap it to a QWidget.  Then using Maya's cmds engine, create a new modelEditor, wrap it also to a QWidget - then parent them together.

This process was a little different for the older versions of Maya that used PyQt - the Maya view port ui is constructed a little differently which forced me to make a window with a layout containing the new modelEditor then parent the window into the main view port QWidget. 

        # cache the main viewport widget
        self.main_m3dView = omUI.M3dView()
        omUI.M3dView.getM3dViewFromModelPanel( self.defaultModelPanel, self.main_m3dView )
        viewWidget = wrapInstance( long( self.main_m3dView.widget() ), QtGui.QWidget )
        
        # Create modelEditor
        editor = cmds.modelEditor( self.nameInstance + "__ME" )
        cmds.modelEditor( editor, 
                          edit=True, 
                          camera=self.defaultCameraStart,
                          interactive=False,
                          displayAppearance='smoothShaded',
                          displayTextures=True,
                          headsUpDisplay=False,
                          shadows=True )

        # parent the modelEditor to the viewport
        ptr_me = omUI.MQtUtil.findControl( editor )
        wrap_me = wrapInstance( long( ptr_me ), QtGui.QWidget )
        wrap_me.setParent( viewWidget )
        self.window = wrap_me
        self.window.move( self.startingPos[0], self.startingPos[1] )
        self.window.setFixedSize( QtCore.QSize( self.windowSize[0], self.windowSize[1] ) )

Well, that's mostly all I wanted to cover for now.  It's been fun trying to think of cool ways to keep the users focused in the view port rather than spreading their gaze over more desktop space.  If someone else was looking for something similar hopefully this post has helped.  My part 2 will hopefully include a download link!