Python load Examples

Example #1

File: demo_grid.py Project: theY4Kman/blockplayer

def start(dset=None, frame_num=0):
    main.initialize()

    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()

        name = dset
        name = os.path.split(name)[1]
        custom = os.path.join('data/sets/', name, 'gt.txt')
        if os.path.exists(custom):
            # Try dataset directory first
            fname = custom
        else:
            import re
            # Fall back on generic ground truth file
            match = re.match('.*_z(\d)m_(.*)', name)            
            number = int(match.groups()[0])
            fname = 'data/experiments/gt/gt%d.txt' % number

        with open(fname) as f:
            GT = grid.gt2grid(f.read())
        grid.initialize_with_groundtruth(GT)

    else:
        config.load('data/newest_calibration')
        opennpy.align_depth_to_rgb()
        dataset.setup_opencl()

Example #2

File: demo_calib.py Project: theY4Kman/blockplayer

def go():
    config.load('data/newest_calibration')
    try:
        while 1:
            once()
    except KeyboardInterrupt:
        pass

Example #3

File: demo_calib.py Project: theY4Kman/blockplayer

def go():
    config.load('data/newest_calibration')
    try:
        while 1:
            once()
    except KeyboardInterrupt:
        pass

Example #4

File: demo_grid.py Project: caomw/blockplayer

def start(dset=None, frame_num=0):
    main.initialize()

    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()

        name = dset
        name = os.path.split(name)[1]
        custom = os.path.join('data/sets/', name, 'gt.txt')
        if os.path.exists(custom):
            # Try dataset directory first
            fname = custom
        else:
            import re
            # Fall back on generic ground truth file
            match = re.match('.*_z(\d)m_(.*)', name)
            number = int(match.groups()[0])
            fname = 'data/experiments/gt/gt%d.txt' % number

        with open(fname) as f:
            GT = grid.gt2grid(f.read())
        grid.initialize_with_groundtruth(GT)

    else:
        config.load('data/newest_calibration')
        opennpy.align_depth_to_rgb()
        dataset.setup_opencl()

Example #5

def start(dset=None, frame_num=0):
    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()
    else:
        config.load('data/newest_calibration')
        dataset.setup_opencl()

Example #6

File: demo_normals.py Project: amiller/blockplayer

def start(dset=None, frame_num=0):
    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()
    else:
        config.load('data/newest_calibration')
        dataset.setup_opencl()

Example #7

File: demo_blockcraft.py Project: theY4Kman/blockplayer

def start(dset=None, frame_num=0):
    main.initialize()
    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()
    else:
        config.load('data/newest_calibration')
        opennpy.align_depth_to_rgb()
        dataset.setup_opencl()

Example #8

def start(dset=None, frame_num=0):
    main.initialize()
    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()
    else:
        config.load('data/newest_calibration')
        opennpy.align_depth_to_rgb()
        dataset.setup_opencl()

Example #9

File: demo_hitb.py Project: theY4Kman/blockplayer

 def block_setup(self):
     """Initialize blockplayer stuff"""
     glxcontext.makecurrent()
     main.initialize()
     
     config.load('data/newest_calibration')
     opennpy.align_depth_to_rgb()
     dataset.setup_opencl()
     
     self.blocks = None
     self.block_loop_quit = False
     self.block_initialized = True
     self.block_loop()

Example #10

File: demo_flatrot.py Project: amiller/blockplayer

def start(dset=None, frame_num=0):
    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()
    else:
        config.load("data/newest_calibration")
        dataset.setup_opencl()
        global R_correct
        if "R_correct" in globals():
            del R_correct

Example #11

File: demo_kinect_calib_extrinsic.py Project: amiller/projective_stereo

def run_calib():
    config.load('data/newest_calibration')
    opennpy.align_depth_to_rgb()

    samples = []

    for i in arange(0,2*np.pi,np.pi/8): 
        line = line_through_point(center, i)
        draw_line_XZ(line)
        pylab.waitforbuttonpress(0.1)
        for _ in range(60):
            opennpy.sync_update()
            rgb, _ = opennpy.sync_get_video()
            depth, _ = opennpy.sync_get_depth()
        samples.append((line, rgb, depth))

    return samples

Example #12

def start(dset=None, frame_num=0):
    main.initialize()

    #with open('data/experiments/collab/2011.txt') as f:
    global target_model
    with open('data/experiments/collab/block.txt') as f:
        target_model = grid.gt2grid(f.read())
    #grid.initialize_with_groundtruth(GT)

    if not FOR_REAL:
        if dset is None:
            dataset.load_random_dataset()
        else:
            dataset.load_dataset(dset)
        while dataset.frame_num < frame_num:
            dataset.advance()
    else:
        config.load('data/newest_calibration')
        opennpy.align_depth_to_rgb()
        dataset.setup_opencl()

Example #13

File: demo_blockprojector.py Project: amiller/projective_stereo

def start():
    main.initialize()
    config.load('data/newest_calibration')
    opennpy.align_depth_to_rgb()
    dataset.setup_opencl()