Home
last modified time | relevance | path

Searched refs:pretrained_base (Results 1 – 25 of 78) sorted by relevance

1234

/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/ssd/
H A Dpresets.py57 pretrained_base=pretrained_base, **kwargs)
83 pretrained_base=pretrained_base, **kwargs)
120 pretrained_base=pretrained_base, **kwargs)
150 pretrained_base=pretrained_base, **kwargs)
176 pretrained_base=pretrained_base, **kwargs)
250 pretrained_base=pretrained_base, **kwargs)
283 pretrained_base=pretrained_base, **kwargs)
365 pretrained_base=pretrained_base, **kwargs)
398 pretrained_base=pretrained_base, **kwargs)
480 pretrained_base=pretrained_base, **kwargs)
[all …]
H A Dssd.py355 dataset, pretrained=False, pretrained_base=True, ctx=mx.cpu(), argument
413 pretrained_base = False if pretrained else pretrained_base
416 pretrained=pretrained_base, classes=classes, ctx=ctx, root=root,
425 classes, dataset, pretrained_base, **kwargs): argument
458 pretrained_base=pretrained_base,
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/center_net/
H A Dcenter_net.py348 pretrained_base = False if pretrained else pretrained_base
378 pretrained_base = False if pretrained else pretrained_base
408 pretrained_base = False if pretrained else pretrained_base
438 pretrained_base = False if pretrained else pretrained_base
468 pretrained_base = False if pretrained else pretrained_base
498 pretrained_base = False if pretrained else pretrained_base
528 pretrained_base = False if pretrained else pretrained_base
558 pretrained_base = False if pretrained else pretrained_base
588 pretrained_base = False if pretrained else pretrained_base
618 pretrained_base = False if pretrained else pretrained_base
[all …]
H A Dduc_mobilenet.py37 pretrained_base=True, norm_layer=nn.BatchNorm, norm_kwargs=None, **kwargs): argument
42 net = get_model(base_network, pretrained=pretrained_base)
75 net = DUCMobilenet(base_network=base_network, pretrained_base=pretrained, **kwargs)
H A Ddeconv_resnet.py74 pretrained_base=True, norm_layer=nn.BatchNorm, norm_kwargs=None, argument
78 net = get_model(base_network, pretrained=pretrained_base)
188 net = DeconvResnet(base_network=base_network, pretrained_base=pretrained,
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/rcnn/faster_rcnn/
H A Dpredefined_models.py54 pretrained_base = False if pretrained else pretrained_base
104 pretrained_base = False if pretrained else pretrained_base
156 pretrained_base = False if pretrained else pretrained_base
216 pretrained_base = False if pretrained else pretrained_base
277 pretrained_base = False if pretrained else pretrained_base
393 pretrained_base = False if pretrained else pretrained_base
442 pretrained_base = False if pretrained else pretrained_base
494 pretrained_base = False if pretrained else pretrained_base
554 pretrained_base = False if pretrained else pretrained_base
616 pretrained_base = False if pretrained else pretrained_base
[all …]
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/rcnn/mask_rcnn/
H A Dpredefined_models.py21 def mask_rcnn_resnet50_v1b_coco(pretrained=False, pretrained_base=True, **kwargs): argument
46 pretrained_base = False if pretrained else pretrained_base
71 def mask_rcnn_fpn_resnet50_v1b_coco(pretrained=False, pretrained_base=True, **kwargs): argument
96 pretrained_base = False if pretrained else pretrained_base
126 def mask_rcnn_resnet101_v1d_coco(pretrained=False, pretrained_base=True, **kwargs): argument
151 pretrained_base = False if pretrained else pretrained_base
201 pretrained_base = False if pretrained else pretrained_base
263 pretrained_base = False if pretrained else pretrained_base
321 pretrained_base = False if pretrained else pretrained_base
386 pretrained_base = False if pretrained else pretrained_base
[all …]
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/action_recognition/
H A Dactionrec_vgg16.py39 def __init__(self, nclass, pretrained_base=True, argument
49 pretrained_model = vgg16(pretrained=pretrained_base, **kwargs)
69 def vgg16_ucf101(nclass=101, pretrained=False, pretrained_base=True, argument
94 pretrained_base=pretrained_base,
110 def vgg16_hmdb51(nclass=51, pretrained=False, pretrained_base=True, argument
135 pretrained_base=pretrained_base,
151 def vgg16_kinetics400(nclass=400, pretrained=False, pretrained_base=True, argument
176 pretrained_base=pretrained_base,
192 def vgg16_sthsthv2(nclass=174, pretrained=False, pretrained_base=True, argument
217 pretrained_base=pretrained_base,
H A Dactionrec_inceptionv3.py42 def __init__(self, nclass, pretrained_base=True, argument
52 pretrained_model = inception_v3(pretrained=pretrained_base, partial_bn=partial_bn, **kwargs)
72 def inceptionv3_ucf101(nclass=101, pretrained=False, pretrained_base=True, argument
100 pretrained_base=pretrained_base,
116 def inceptionv3_hmdb51(nclass=51, pretrained=False, pretrained_base=True, argument
144 pretrained_base=pretrained_base,
160 def inceptionv3_kinetics400(nclass=400, pretrained=False, pretrained_base=True, argument
188 pretrained_base=pretrained_base,
204 def inceptionv3_sthsthv2(nclass=174, pretrained=False, pretrained_base=True, argument
232 pretrained_base=pretrained_base,
H A Dactionrec_inceptionv1.py42 def __init__(self, nclass, pretrained_base=True, argument
52 pretrained_model = googlenet(pretrained=pretrained_base, partial_bn=partial_bn, **kwargs)
113 def inceptionv1_ucf101(nclass=101, pretrained=False, pretrained_base=True, argument
141 pretrained_base=pretrained_base,
157 def inceptionv1_hmdb51(nclass=51, pretrained=False, pretrained_base=True, argument
185 pretrained_base=pretrained_base,
201 def inceptionv1_kinetics400(nclass=400, pretrained=False, pretrained_base=True, argument
229 pretrained_base=pretrained_base,
245 def inceptionv1_sthsthv2(nclass=174, pretrained=False, pretrained_base=True, argument
273 pretrained_base=pretrained_base,
H A Dactionrec_resnetv1b.py43 def __init__(self, depth, nclass, pretrained_base=True, argument
50 pretrained_model = resnet18_v1b(pretrained=pretrained_base, **kwargs)
53 pretrained_model = resnet34_v1b(pretrained=pretrained_base, **kwargs)
56 pretrained_model = resnet50_v1b(pretrained=pretrained_base, **kwargs)
111 def resnet18_v1b_sthsthv2(nclass=174, pretrained=False, pretrained_base=True, argument
156 def resnet34_v1b_sthsthv2(nclass=174, pretrained=False, pretrained_base=True, argument
201 def resnet50_v1b_sthsthv2(nclass=174, pretrained=False, pretrained_base=True, argument
561 def resnet50_v1b_ucf101(nclass=101, pretrained=False, pretrained_base=True, argument
606 def resnet50_v1b_hmdb51(nclass=51, pretrained=False, pretrained_base=True, argument
651 def resnet50_v1b_custom(nclass=400, pretrained=False, pretrained_base=True, argument
[all …]
H A Di3d_resnet.py450 self.pretrained_base = pretrained_base
663 pretrained_base=pretrained_base,
721 pretrained_base=pretrained_base,
779 pretrained_base=pretrained_base,
840 pretrained_base=pretrained_base,
901 pretrained_base=pretrained_base,
962 pretrained_base=pretrained_base,
1022 pretrained_base=pretrained_base,
1079 pretrained_base=pretrained_base,
1155 pretrained_base=pretrained_base,
[all …]
H A Dslowfast.py172 pretrained_base=False, argument
535 def slowfast_4x16_resnet50_kinetics400(nclass=400, pretrained=False, pretrained_base=True, argument
569 pretrained_base=pretrained_base,
598 def slowfast_8x8_resnet50_kinetics400(nclass=400, pretrained=False, pretrained_base=True, argument
632 pretrained_base=pretrained_base,
695 pretrained_base=pretrained_base,
758 pretrained_base=pretrained_base,
821 pretrained_base=pretrained_base,
887 pretrained_base=pretrained_base,
916 def slowfast_4x16_resnet50_custom(nclass=400, pretrained=False, pretrained_base=True, argument
[all …]
/dports/misc/py-gluoncv/gluon-cv-0.9.0/tests/model_zoo/
H A Dtest_model_zoo.py428 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
472 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
483 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
494 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
507 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
518 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
529 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
541 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
555 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
565 _test_model_list(models, ctx, x, pretrained=True, pretrained_base=True)
[all …]
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/yolo/
H A Dyolo3.py581 pretrained_base = False if pretrained else pretrained_base
650 pretrained_base = False if pretrained else pretrained_base
683 pretrained_base = False if pretrained else pretrained_base
762 pretrained_base = False if pretrained else pretrained_base
765 pretrained=pretrained_base,
857 pretrained_base = False if pretrained else pretrained_base
860 pretrained=pretrained_base,
900 pretrained_base = False if pretrained else pretrained_base
903 pretrained=pretrained_base,
995 pretrained_base = False if pretrained else pretrained_base
[all …]
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/torch/model_zoo/action_recognition/
H A Dactionrec_resnetv1b.py45 def __init__(self, depth, num_classes, pretrained_base=True, argument
53 self.pretrained_base = pretrained_base
57 C2D = torchvision.models.resnet18(pretrained=self.pretrained_base, progress=True)
60 C2D = torchvision.models.resnet34(pretrained=self.pretrained_base, progress=True)
128 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
146 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
164 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
182 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
200 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
218 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
[all …]
H A Di3d_slow.py275 pretrained_base=True, argument
308 self.pretrained_base = pretrained_base
410 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
427 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
444 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
461 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
478 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
495 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
512 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
529 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
H A Di3d_resnet.py292 pretrained_base=True, argument
329 self.pretrained_base = pretrained_base
420 if not self.pretrained_base:
423 if self.pretrained_base and not self.pretrained:
519 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
540 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
564 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
588 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
612 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
642 pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
[all …]
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/monodepthv2/
H A Dmonodepth2.py44 def __init__(self, backbone, pretrained_base, num_input_images=1, scales=range(4), argument
49 self.encoder = ResnetEncoder(backbone, pretrained_base,
51 if not pretrained_base:
74 def get_monodepth2(backbone='resnet18', pretrained_base=True, argument
107 model = MonoDepth2(backbone=backbone, pretrained_base=pretrained_base,
H A Dmonodepth2_posenet.py45 def __init__(self, backbone, pretrained_base, num_input_images=2, num_input_features=1, argument
50 self.encoder = ResnetEncoder(backbone, pretrained_base,
52 if not pretrained_base:
77 def get_monodepth2posenet(backbone='resnet18', pretrained_base=True, num_input_images=2, argument
115 backbone=backbone, pretrained_base=pretrained_base,
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/
H A Dfcn.py43 def __init__(self, nclass, backbone='resnet50', aux=True, ctx=cpu(), pretrained_base=True, argument
46 crop_size=crop_size, pretrained_base=pretrained_base, **kwargs)
94 root='~/.mxnet/models', ctx=cpu(0), pretrained_base=True, **kwargs): argument
125 model = FCN(datasets[dataset].NUM_CLASS, backbone=backbone, pretrained_base=pretrained_base,
H A Dpspnet.py36 def __init__(self, nclass, backbone='resnet50', aux=True, ctx=cpu(), pretrained_base=True, argument
39 crop_size=crop_size, pretrained_base=pretrained_base, **kwargs)
149 root='~/.mxnet/models', ctx=cpu(0), pretrained_base=True, **kwargs): argument
180 pretrained_base=pretrained_base, ctx=ctx, **kwargs)
H A Dicnet.py47 def __init__(self, nclass, backbone='resnet50', aux=False, ctx=cpu(), pretrained_base=True, argument
51 pretrained_base=pretrained_base, **kwargs)
321 root='~/.mxnet/models', pretrained_base=True, ctx=cpu(0), **kwargs): argument
353 pretrained_base=pretrained_base, ctx=ctx, **kwargs)
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/rcnn/
H A Drcnn.py250 def custom_rcnn_fpn(pretrained_base=True, base_network_name='resnet18_v1b', norm_layer=nn.BatchNorm, argument
295 base_network = resnet18_v1b(pretrained=pretrained_base, dilated=False,
302 base_network = resnet50_v1b(pretrained=pretrained_base, dilated=False,
309 base_network = resnet101_v1d(pretrained=pretrained_base, dilated=False,
316 base_network = resnest50(pretrained=pretrained_base, dilated=False,
323 base_network = resnest101(pretrained=pretrained_base, dilated=False,
334 pretrained=pretrained_base, norm_layer=sym_norm_layer, norm_kwargs=sym_norm_kwargs)
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/simple_pose/
H A Dmobile_pose.py34 pretrained_base=False, pretrained_ctx=cpu(), **kwargs): argument
39 base_model = get_model(base_name, pretrained=pretrained_base,

1234