Python get_configs Beispiele

Beispiel #1

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-ditx')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 11]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/mtl-ditx'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #2

Datei: bdd_res101_i_2x.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res101-i')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [160, 220]
cfg.total_epochs = 240
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-i/res101_2x'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #3

Datei: bdd_dla34up_s_2x.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-s')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [160, 220]
cfg.total_epochs = 240
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-s/dla34up_2x'
cfg.load_from = None
cfg.resume_from = None
cfg.checkpoint_config['interval'] = 10
cfg.workflow = [('train', 10)]

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):

Beispiel #4

Datei: bdd_res50_i_2x.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res50-i')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [160, 220]
cfg.total_epochs = 240
cfg.data['imgs_per_gpu'] = 8
cfg.data['workers_per_gpu'] = 8
cfg.work_dir = './work_dirs/debug/BDD-i/res50_2x'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #5

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res50-t')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 10]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 8
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-t/res50_2x'
cfg.load_from = None
cfg.resume_from = './work_dirs/debug/BDD-t/res50/epoch_3.pth'

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #6

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-r')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [16, 22]
cfg.total_epochs = 24
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/bdd-r-2x'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #7

Datei: bdd_res101_t.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res101-t')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [4, 5]
cfg.total_epochs = 6
cfg.data['imgs_per_gpu'] = 8
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-t/res101'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #8

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res50-l')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [16, 22]
cfg.total_epochs = 24
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-l/res50_2x'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #9

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res101-l')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 11]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-l/res101'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #10

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res101-s')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [80, 110]
cfg.total_epochs = 120
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-s/res101'
cfg.load_from = None
cfg.resume_from = None
cfg.checkpoint_config['interval'] = 10
cfg.workflow = [('train', 10)]

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):

Beispiel #11

Datei: bdd_dla34up_l.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-l')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 11]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-l/dla34up'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #12

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla60up-d')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 11]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 2
cfg.data['workers_per_gpu'] = 2
cfg.work_dir = './work_dirs/debug/mtl-d-dla60up'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #13

Datei: bdd_dla34up_t.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-t')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [4, 5]
cfg.total_epochs = 6
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-t/dla34up'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #14

Datei: bdd_dla34_c.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34-c')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.002
cfg.lr_config['step'] = [80, 110]
cfg.total_epochs = 120
cfg.data['imgs_per_gpu'] = 8
cfg.data['workers_per_gpu'] = 8
cfg.work_dir = './work_dirs/debug/BDD-c/dla34'
cfg.load_from = None
cfg.resume_from = None # './work_dirs/debug/BDD-c/dla34/latest.pth'

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #15

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-x')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [16, 22]
cfg.total_epochs = 24
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-x-legacy-24/dla34up'
cfg.load_from = None
cfg.resume_from = './work_dirs/debug/BDD-x-legacy/dla34up/epoch_16.pth'

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #16

Datei: bdd_dla34up_i.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-i')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [80, 110]
cfg.total_epochs = 120
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-i/dla34up'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #17

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res50-r')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 11]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 8
cfg.data['workers_per_gpu'] = 8
cfg.work_dir = './work_dirs/debug/BDD-r/res50'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #18

Datei: bdd_dla34up_lrsditx.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-lrsditx')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 11]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/mtl-lrsditx'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #19

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('dla34up-d')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [16, 22]
cfg.total_epochs = 24
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-d_clear-30k/dla34up'
cfg.load_from = None
cfg.resume_from = None
cfg.data['train'][0][
    'ann_file'] = cfg.data['train'][0]['ann_file'][:-5] + '_clear_30k.json'
cfg.data['test'][0][
    'ann_file'] = cfg.data['val'][0]['ann_file'][:-5] + '_clear.json'

Beispiel #20

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res101-r')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [8, 11]
cfg.total_epochs = 12
cfg.data['imgs_per_gpu'] = 4
cfg.data['workers_per_gpu'] = 4
cfg.work_dir = './work_dirs/debug/BDD-r/res101'
cfg.load_from = None
cfg.resume_from = None

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):
        setattr(sys.modules[__name__], k, v)

Beispiel #21

Datei: bdd_res50_s_2x.py Projekt: XDong18/bdd-mtl

# Format of the command to get configs:
#
#   $MODEL_NAME-$TASKS
#
#   task correspondence:
#     l - Lane marking
#     r - Drivable area
#     s - Semantic segmentation
#     d - Detection
#     i - Instance Segmentation
#     t - Multiple object Tracking
#     x - Multiple object Tracking with Segmentation
#
################################################################################

cfg = get_configs('res50-s')

# Override default configs. Feel free to override more fields
cfg.optimizer['lr'] = 0.02
cfg.lr_config['step'] = [160, 220]
cfg.total_epochs = 240
cfg.data['imgs_per_gpu'] = 8
cfg.data['workers_per_gpu'] = 8
cfg.work_dir = './work_dirs/debug/BDD-s/res50_2x'
cfg.load_from = None
cfg.resume_from = None
cfg.checkpoint_config['interval'] = 10
cfg.workflow = [('train', 10)]

for k, v in cfg.__dict__.items():
    if not k.startswith('__'):