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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/datasets/custom.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:46.481807 | # dataset settings Only for test
dataset_type = 'CustomDepthDataset'
data_root = 'data/custom/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
crop_size= (416, 544)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='DepthLoadAnnotations'),
dict(... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/default_runtime.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:46.483480 | # yapf:disable
log_config = dict(
interval=50,
hooks=[
dict(type='TextLoggerHook', by_epoch=True),
dict(type='TensorboardImageLoggerHook', by_epoch=True),
])
# yapf:enable
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
cudn... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/models/adabins.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:46.491632 | # model settings
model = dict(
type='DepthEncoderDecoder',
backbone=dict(
type='EfficientNet'),
decode_head=dict(
type='AdabinsHead',
in_channels=[24, 40, 64, 176, 2048],
up_sample_channels=[128, 256, 512, 1024, 2048],
channels=128, # last one
align_corners=Tr... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/models/depthformer_swin.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:46.953457 | # model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
backbone_norm_cfg = dict(type='LN', requires_grad=True)
conv_stem_norm_cfg = dict(type='BN', requires_grad=True)
model = dict(
type='DepthEncoderDecoder',
pretrained=None,
backbone=dict(
type='DepthFormerSwin',
pretrain_img_... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/adabins/adabins_efnetb5ap_kitti_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.032649 | _base_ = [
'../_base_/models/adabins.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
norm_cfg = dict(type='BN', requires_grad=True)
model = dict(
decode_head=dict(
min_depth=1e-3,
max_depth=80,
norm_cfg=norm_cfg),
)
f... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/schedules/schedule_24x.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.034051 | # optimizer
max_lr=1e-4
optimizer = dict(type='AdamW', lr=max_lr, betas=(0.95, 0.99), weight_decay=0.01,)
# learning policy
lr_config = dict(
policy='OneCycle',
max_lr=max_lr,
div_factor=25,
final_div_factor=100,
by_epoch=False,
)
optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))
# r... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/models/newcrfs.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.035747 | # model settings
norm_cfg = dict(type='LN', requires_grad=True)
model = dict(
type='DepthEncoderDecoder',
backbone=dict(
type='SwinTransformer',
pretrain_img_size=224,
embed_dims=96,
patch_size=4,
window_size=7,
mlp_ratio=4,
depths=[2, 2, 6, 2],
nu... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/models/densedepth.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.036841 | # model settings
norm_cfg = dict(type='BN', requires_grad=True)
model = dict(
type='DepthEncoderDecoder',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3, 4),
style='pytorch',
norm_cfg=norm_cfg),
decode_head=dict(
type='De... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/_base_/models/dpt.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.065141 | model = dict(
type='DepthEncoderDecoder',
backbone=dict(
type='VisionTransformer',
img_size=224,
embed_dims=768,
num_layers=12,
num_heads=12,
out_indices=(2, 5, 8, 11),
final_norm=False,
with_cls_token=True,
output_cls_token=True),
deco... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/binsformer/binsformer_swinl_22k_w7_kitti.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.115854 | _base_ = [
'../_base_/models/binsformer.py',
'../_base_/default_runtime.py',
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192,
depths=[2, 2, 18, 2],
num_h... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/adabins/adabins_efnetb5ap_nyu_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.145654 | _base_ = [
'../_base_/models/adabins.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
norm_cfg = dict(type='BN', requires_grad=True)
model = dict(
decode_head=dict(
min_depth=1e-3,
max_depth=10,
norm_cfg=norm_cfg),
)
fin... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/adabins/adabins_r50_nyu_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.147296 | _base_ = [
'../_base_/models/adabins.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
norm_cfg = dict(type='BN', requires_grad=True)
model = dict(
backbone=dict(
_delete_=True,
type='ResNet',
depth=50,
num_stages=4,
... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/binsformer/binsformer_swinl_22k_w7_nyu.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.148660 | _base_ = [
'../_base_/models/binsformer.py',
'../_base_/default_runtime.py',
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192,
depths=[2, 2, 18, 2],
num_h... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/binsformer/binsformer_swinl_22k_w7_nyu2sunrgbd.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.567536 | _base_ = [
'../_base_/models/binsformer.py',
'../_base_/default_runtime.py',
'../_base_/datasets/sun_rgbd.py',
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192,
... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/bts/bts_r50_kitti_benchmark_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.628367 | _base_ = [
'../_base_/models/bts.py', '../_base_/datasets/kitti_benchmark.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='torchvision://resnet50'),
),
decode_head=dict(
... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/bts/bts_r50_kitti_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.679765 | _base_ = [
'../_base_/models/bts.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='torchvision://resnet50'),
),
decode_head=dict(
final_no... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/bts/bts_r50_nyu_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.680969 | _base_ = [
'../_base_/models/bts.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='torchvision://resnet50'),
),
decode_head=dict(
final_norm... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/binsformer/binsformer_swint_w7_nyu.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.710488 | _base_ = [
'../_base_/models/binsformer.py',
'../_base_/default_runtime.py',
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth', # noqa
backbone=dict(
embed_dims=96,
depths=[2, 2, 6, 2],
num_heads=[3... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/depthformer/depthformer_swinl_22k_w7_kitti.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.741801 | _base_ = [
'../_base_/models/depthformer_swin.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py'
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192,
... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/depthformer/depthformer_swinl_22k_w7_nyu.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.789232 | _base_ = [
'../_base_/models/depthformer_swin.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py'
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192,
de... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/depthformer/depthformer_swint_w7_nyu.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.822058 | _base_ = [
'../_base_/models/depthformer_swin.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py'
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth', # noqa
backbone=dict(
embed_dims=96,
depths=... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/depthformer/depthformer_swinl_22k_w7_kitti_benchmark.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.853563 | _base_ = [
'../_base_/models/depthformer_swin.py', '../_base_/datasets/kitti_benchmark.py',
'../_base_/default_runtime.py'
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/depthformer/depthformer_swinl_22k_w7_nyu2sunrgbd.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:47.872650 | _base_ = [
'../_base_/models/depthformer_swin.py', '../_base_/datasets/sun_rgbd.py',
'../_base_/default_runtime.py'
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192,
... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/dpt/dpt_vit-b16_kitti.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.198569 | _base_ = [
'../_base_/models/dpt.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
pretrained='nfs/checkpoints/jx_vit_base_p16_224-80ecf9dd.pth',
decode_head=dict(
min_depth=1e-3,
max_depth=80,
loss_decode=d... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/dpt/dpt_vit-b16_nyu.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.259174 | _base_ = [
'../_base_/models/dpt.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
pretrained='nfs/checkpoints/jx_vit_base_p16_224-80ecf9dd.pth',
decode_head=dict(
min_depth=1e-3,
max_depth=10,
loss_decode=dic... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_kitti_kitti_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.287941 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='nfs/saves/SimIPU/checkpoints/SimIPU_kitti_50e.pth'),
),
... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_kitti_nyu_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.311205 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='nfs/saves/SimIPU/checkpoints/SimIPU_kitti_50e.pth'),
),
de... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_scratch_kitti_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.401658 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
decode_head=dict(
scale_up=True,
min_depth=1e-3,
max_depth=80,
loss_decode=dict(
type='SigLoss', vali... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/newcrfs/newcrfs_swinl_22k_w7_nyu.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.402917 | _base_ = [
'../_base_/models/newcrfs.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py'
]
model = dict(
pretrained='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', # noqa
backbone=dict(
embed_dims=192,
depths=[2, ... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_supervise_imagenet_kitti_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.422894 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='torchvision://resnet50'),
),
decode_head=dict(
s... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_scratch_nyu_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.424364 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
decode_head=dict(
scale_up=True,
min_depth=1e-3,
max_depth=10,
loss_decode=dict(
type='SigLoss', valid_... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_supervise_imagenet_nyu_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.513874 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='torchvision://resnet50'),
),
decode_head=dict(
sca... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_waymo_kitti_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.514419 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/kitti.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='nfs/saves/SimIPU/checkpoints/SimIPU_waymo_50e.pth'),
),
... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | configs/simipu/simipu_r50_waymo_nyu_24e.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.787631 | _base_ = [
'../_base_/models/densedepth.py', '../_base_/datasets/nyu.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_24x.py'
]
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained', checkpoint='nfs/saves/SimIPU/checkpoints/SimIPU_waymo_50e.pth'),
),
de... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.873736 | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
from packaging.version import parse
from .version import __version__, version_info
MMCV_MIN = '1.3.7'
# MMCV_MAX = '1.4.0'
MMCV_MAX = '1.5.0' # have tested on mmcv==1.5.0
def digit_version(version_str: str, length: int = 4):
"""Convert... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/apis/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.874203 | # Copyright (c) OpenMMLab. All rights reserved.
from .inference import inference_depther, init_depther
from .test import multi_gpu_test, single_gpu_test
from .train import get_root_logger, set_random_seed, train_depther
__all__ = [
'get_root_logger', 'set_random_seed', 'train_depther', 'init_depther',
'inferen... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/apis/inference.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.902865 | # Copyright (c) OpenMMLab. All rights reserved.
import matplotlib.pyplot as plt
import mmcv
import torch
from mmcv.parallel import collate, scatter
from mmcv.runner import load_checkpoint
from depth.datasets.pipelines import Compose
from depth.models import build_depther
def init_depther(config, checkpoint=None, dev... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/apis/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.982072 | # Copyright (c) OpenMMLab. All rights reserved.
import random
import warnings
import numpy as np
import torch
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import build_optimizer, build_runner
from depth.core import DistEvalHook, EvalHook
from depth.datasets import build_dataloa... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/apis/test.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.983003 | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import warnings
import mmcv
import numpy as np
import torch
from mmcv.engine import collect_results_cpu, collect_results_gpu
from mmcv.image import tensor2imgs
from mmcv.runner import get_dist_info
def np2tmp(array, temp_file_name=N... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/core/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:48.983628 | # Copyright (c) OpenMMLab. All rights reserved.
from .evaluation import * # noqa: F401, F403
from .utils import * # noqa: F401, F403
|
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/core/evaluation/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:49.039557 | # Copyright (c) OpenMMLab. All rights reserved.
from .metrics import metrics, eval_metrics, pre_eval_to_metrics
from .eval_hooks import EvalHook, DistEvalHook |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/core/evaluation/eval_hooks.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:49.165373 | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import warnings
import torch.distributed as dist
from mmcv.runner import DistEvalHook as _DistEvalHook
from mmcv.runner import EvalHook as _EvalHook
from torch.nn.modules.batchnorm import _BatchNorm
class EvalHook(_EvalHook):
"""Single GPU Eva... |
zhyever/Monocular-Depth-Estimation-Toolbox | https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | depth/core/evaluation/metrics.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:49.220290 | from collections import OrderedDict
import mmcv
import numpy as np
import torch
def calculate(gt, pred):
if gt.shape[0] == 0:
return np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan
thresh = np.maximum((gt / pred), (pred / gt))
a1 = (thresh < 1.25).mean()
a2 = (thresh < ... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/aws.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.524728 | """
Copyright 2018-present Engie SA.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softwa... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/duo_universal.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.526220 | import time
import html5lib
from furl import furl
from . import version
class DuoMfaDenied(BaseException):
""" Duo MFA was denied """
def __init__(self, response):
super(DuoMfaDenied, self).__init__(f'Duo MFA denied: {response}')
class OktaDuoUniversal:
""" Handles interaction with the Duo Un... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/default.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.527105 | """
Copyright 2018-present Engie SA / Synetis.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writi... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.553435 | __all__ = ['config', 'aws', 'main', 'ui', 'common', 'default', 'duo', 'errors', 'okta_classic', 'okta_identity_engine', 'registered_authenticators', 'u2f', 'webauthn']
version = '2.8.2'
|
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/common.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.553982 | """
Copyright 2018-present SYNETIS.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softwar... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/dummy_webauthn.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.556245 | """
Copyright 2024-present Nike, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/main.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.557710 | #!/usr/bin/env python3
"""
Copyright 2016-present Nike, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agre... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/duo.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.564924 | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Li... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/errors.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.565459 | """
Copyright 2018-present Krzysztof Nazarewski.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:51.605579 | """
Copyright 2016-present Nike, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/registered_authenticators.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.160586 | import hashlib
import json
import os
class RegisteredAuthenticators(object):
"""
The RegisteredAuthenticators class manages a json file of gimme-aws-creds registered
FIDO authenticators.
There's a list of RegisteredAuthenticator entries with two fields:
- cred_id_hash - sha512 of the ... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.191069 | import os
def read_fixture(file_name):
"""Read a fixture file"""
fixture_path = os.path.join(os.path.dirname(__file__), 'fixtures', file_name)
with open(fixture_path, 'r', encoding='utf-8') as file:
return file.read()
|
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/ui.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.192350 | """
Copyright 2018-present Krzysztof Nazarewski.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | lambda/lambda_handler.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.194388 | import json
import os
import sys
from okta.framework.ApiClient import ApiClient
from okta.framework.OktaError import OktaError
def aws_account_info(event, context):
# We need access to the entire JSON response from the Okta APIs, so we need to
# use the low-level ApiClient instead of UsersClient and AppInsta... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/okta_identity_engine.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.196343 | """
Copyright 2016-present Nike, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/u2f.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.197536 | """
Copyright 2018-present SYNETIS.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, s... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/webauthn.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.199261 | """
Copyright 2018-present SYNETIS.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, s... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | gimme_aws_creds/okta_classic.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.217379 | """
Copyright 2016-present Nike, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.221563 | from setuptools import setup, find_packages
with open('requirements.txt') as f:
requirements = f.read().splitlines()
setup(
name='gimme_aws_creds',
version='2.8.2',
install_requires=requirements,
author='Eric Pierce',
author_email='eric.pierce@nike.com',
description="A CLI to get temporary... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_aws_resolver.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:52.236989 | """Unit tests for gimme_aws_creds"""
import sys
import unittest
from contextlib import contextmanager
from io import StringIO
import requests
import responses
import gimme_aws_creds.common as common_def
from gimme_aws_creds.aws import AwsResolver
from tests import read_fixture
class TestAwsResolver(unittest.TestCas... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:53.232987 | """Unit tests for gimme_aws_creds.config.Config"""
import argparse
import unittest
from unittest.mock import patch
from gimme_aws_creds import ui, errors
from gimme_aws_creds.config import Config
from tests.user_interface_mock import MockUserInterface
class TestConfig(unittest.TestCase):
"""Class to test Config ... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_main.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:53.233911 | import shutil
import unittest
from unittest.mock import patch
from gimme_aws_creds import errors
from gimme_aws_creds.common import RoleSet
from gimme_aws_creds.main import GimmeAWSCreds
from tests.user_interface_mock import MockUserInterface
class TestMain(unittest.TestCase):
APP_INFO = [
RoleSet(idp='i... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_duo_universal_client.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:53.234932 | import json
import unittest
from unittest.mock import Mock
import requests
import responses
from gimme_aws_creds.duo_universal import OktaDuoUniversal
from tests import read_fixture
from tests.user_interface_mock import MockUserInterface
class TestDuoUniversalClient(unittest.TestCase):
def setUp(self):
... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_okta_classic_client.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:53.236220 | """Unit tests for gimme_aws_creds"""
import hashlib
import json
import sys
import unittest
from contextlib import contextmanager
from io import StringIO
from unittest.mock import patch
from urllib.parse import quote
import requests
import responses
from fido2.attestation import PackedAttestation
from fido2.ctap2 impor... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_registered_authenticators.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:53.837654 | import json
import os
import unittest
from gimme_aws_creds.registered_authenticators import RegisteredAuthenticators, RegisteredAuthenticator
from tests.user_interface_mock import MockUserInterface
class TestConfig(unittest.TestCase):
"""Class to test RegisteredAuthenticators Class."""
def setUp(self):
... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/user_interface_mock.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:53.923352 | import tempfile
from gimme_aws_creds import ui
class MockUserInterface(ui.UserInterface):
def result(self, result):
pass
def prompt(self, message):
pass
def message(self, message):
pass
def read_input(self, hidden=False):
pass
def notify(self, message):
... |
Nike-Inc/gimme-aws-creds | https://github.com/Nike-Inc/gimme-aws-creds | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_okta_identity_engine_client.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:54.176922 | """Unit tests for gimme_aws_creds"""
import hashlib
import json
import sys
import unittest
from contextlib import contextmanager
from io import StringIO
from unittest.mock import patch
from urllib.parse import quote
import requests
import responses
from fido2.attestation import PackedAttestation
from fido2.ctap2 impor... |
kang205/SASRec | https://github.com/kang205/SASRec | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | model.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:56.613620 | from modules import *
class Model():
def __init__(self, usernum, itemnum, args, reuse=None):
self.is_training = tf.placeholder(tf.bool, shape=())
self.u = tf.placeholder(tf.int32, shape=(None))
self.input_seq = tf.placeholder(tf.int32, shape=(None, args.maxlen))
self.pos = tf.place... |
kang205/SASRec | https://github.com/kang205/SASRec | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | main.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:56.616112 | import os
import time
import argparse
import tensorflow as tf
from sampler import WarpSampler
from model import Model
from tqdm import tqdm
from util import *
def str2bool(s):
if s not in {'False', 'True'}:
raise ValueError('Not a valid boolean string')
return s == 'True'
parser = argparse.ArgumentP... |
kang205/SASRec | https://github.com/kang205/SASRec | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | modules.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:56.633222 | # -*- coding: utf-8 -*-
#/usr/bin/python2
'''
June 2017 by kyubyong park.
kbpark.linguist@gmail.com.
https://www.github.com/kyubyong/transformer
'''
from __future__ import print_function
import tensorflow as tf
import numpy as np
def positional_encoding(dim, sentence_length, dtype=tf.float32):
encoded_vec = np... |
kang205/SASRec | https://github.com/kang205/SASRec | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | data/DataProcessing.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:56.633677 | import gzip
from collections import defaultdict
from datetime import datetime
def parse(path):
g = gzip.open(path, 'r')
for l in g:
yield eval(l)
countU = defaultdict(lambda: 0)
countP = defaultdict(lambda: 0)
line = 0
dataset_name = 'Beauty'
f = open('reviews_' + dataset_name + '.txt', 'w')
for l ... |
kang205/SASRec | https://github.com/kang205/SASRec | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | util.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:56.638867 | import sys
import copy
import random
import numpy as np
from collections import defaultdict
def data_partition(fname):
usernum = 0
itemnum = 0
User = defaultdict(list)
user_train = {}
user_valid = {}
user_test = {}
# assume user/item index starting from 1
f = open('data/%s.txt' % fname... |
kang205/SASRec | https://github.com/kang205/SASRec | null | null | null | null | 967 | null | null | apache-2.0 | null | null | null | null | null | null | null | sampler.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:56.668482 | import numpy as np
from multiprocessing import Process, Queue
def random_neq(l, r, s):
t = np.random.randint(l, r)
while t in s:
t = np.random.randint(l, r)
return t
def sample_function(user_train, usernum, itemnum, batch_size, maxlen, result_queue, SEED):
def sample():
user = np.ra... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/scripts/auto_run.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.001293 | import argparse
from vlmeval.smp import *
from vlmeval.config import supported_VLM
def is_api(x):
return getattr(supported_VLM[x].func, 'is_api', False)
models = list(supported_VLM)
models = [x for x in models if 'fs' not in x]
models = [x for x in models if not is_api(x)]
exclude_list = ['cogvlm-grounding-genera... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/scripts/apires_scan.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.005478 | import sys
from vlmeval import *
from vlmeval.dataset import SUPPORTED_DATASETS
FAIL_MSG = 'Failed to obtain answer via API.'
root = sys.argv[1]
if root[-1] in '/\\':
root = root[:-1]
model_name = root.split('/')[-1]
for d in SUPPORTED_DATASETS:
fname = f'{model_name}_{d}.xlsx'
pth = osp.join(root, fname... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.019080 | import re
import sys
from os.path import exists
from setuptools import find_packages, setup
def parse_requirements(fname='requirements.txt', with_version=True):
"""Parse the package dependencies listed in a requirements file but strips
specific versioning information.
Args:
fname (str): path to r... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/docs/en/conf.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.020284 | # flake8: noqa
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/scripts/summarize.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.027707 | from vlmeval.smp import *
from vlmeval.dataset import SUPPORTED_DATASETS
def get_score(model, dataset):
file_name = f'{model}/{model}_{dataset}'
if listinstr([
'CCBench', 'MMBench', 'SEEDBench_IMG', 'MMMU', 'ScienceQA',
'AI2D_TEST', 'MMStar', 'RealWorldQA', 'BLINK', 'VisOnlyQA-VLMEvalKit'
... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.028226 | import ssl
ssl._create_default_https_context = ssl._create_unverified_context
# Temporarily bypass SSL certificate verification to download files from oss.
try:
import torch
except ImportError:
pass
from .smp import *
load_env()
from .api import *
from .dataset import *
from .utils import *
from .vlm import ... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/docs/zh-CN/conf.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.048686 | # flake8: noqa
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/scripts/data_browser.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.049937 | """
pip install gradio # proxy_on first
python vis_geochat_data.py
# browse data in http://127.0.0.1:10064
"""
import os
import io
import json
import copy
import time
import gradio as gr
import base64
from PIL import Image
from io import BytesIO
from argparse import Namespace
# from llava import conversation as con... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/run.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.055291 | import json
import os
import subprocess
from functools import partial
# GET the number of GPUs on the node without importing libs like torch
def get_gpu_list():
CUDA_VISIBLE_DEVICES = os.environ.get('CUDA_VISIBLE_DEVICES', '')
if CUDA_VISIBLE_DEVICES != '':
gpu_list = [int(x) for x in CUDA_VISIBLE_DEV... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/scripts/mmb_eval_gradio.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.107774 | from vlmeval.smp import *
from vlmeval.tools import EVAL
from vlmeval.dataset import build_dataset
import gradio as gr
HEADER = """
# Welcome to MMBench👏👏
We are delighted that you are willing to submit the evaluation results to the MMBench official website! The evaluation service currently can handle submissions of... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/bailingmm.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.562355 | import base64
from vlmeval.smp import *
from vlmeval.api.base import BaseAPI
from vlmeval.dataset import DATASET_TYPE
from vlmeval.smp.vlm import encode_image_file_to_base64
import time
class bailingMMWrapper(BaseAPI):
is_api: bool = True
def __init__(self,
model: str,
retr... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.595066 | from .gpt import OpenAIWrapper, GPT4V
from .hf_chat_model import HFChatModel
from .gemini import GeminiWrapper, Gemini
from .qwen_vl_api import QwenVLWrapper, QwenVLAPI, Qwen2VLAPI
from .qwen_api import QwenAPI
from .claude import Claude_Wrapper, Claude3V
from .reka import Reka
from .glm_vision import GLMVisionAPI
from... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/base.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.596752 | import time
import random as rd
from abc import abstractmethod
import os.path as osp
import copy as cp
from ..smp import get_logger, parse_file, concat_images_vlmeval, LMUDataRoot, md5, decode_base64_to_image_file
class BaseAPI:
allowed_types = ['text', 'image', 'video']
INTERLEAVE = True
INSTALL_REQ = F... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/bluelm_v_api.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.615805 | from vlmeval.smp import *
from vlmeval.api.base import BaseAPI
import os
import json
def multimodal(images, text, url, key, temperature=0, max_tokens=1024, history=[]):
if images:
pics = []
for image in images:
with open(image, 'rb') as f:
pic = base64.b64encode(f.read(... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/claude.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.652925 | from vlmeval.smp import *
from vlmeval.api.base import BaseAPI
from time import sleep
import base64
import mimetypes
from PIL import Image
alles_url = 'https://openxlab.org.cn/gw/alles-apin-hub/v1/claude/v1/text/chat'
alles_headers = {
'alles-apin-token': '',
'Content-Type': 'application/json'
}
official_url =... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/doubao_vl_api.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.655049 | from vlmeval.smp import *
import os
import sys
from vlmeval.api.base import BaseAPI
import math
from vlmeval.dataset import DATASET_TYPE
from vlmeval.dataset import img_root_map
from io import BytesIO
import pandas as pd
import requests
import json
import base64
import time
from openai import OpenAI
class DoubaoVLWra... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/cloudwalk.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.657437 | from ..smp import *
import os
from .base import BaseAPI
class CWWrapper(BaseAPI):
is_api: bool = True
def __init__(self,
model: str = 'cw-congrong-v2.0',
retry: int = 10,
wait: int = 5,
key: str = None,
verbose: bool = True... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/gemini.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.658431 | from vlmeval.smp import *
from vlmeval.api.base import BaseAPI
headers = 'Content-Type: application/json'
class GeminiWrapper(BaseAPI):
is_api: bool = True
def __init__(self,
model: str = 'gemini-1.0-pro',
retry: int = 5,
wait: int = 5,
ke... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/glm_vision.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.666946 | import requests
requests.packages.urllib3.disable_warnings()
from vlmeval.smp import *
from vlmeval.api.base import BaseAPI
from vlmeval.dataset import DATASET_TYPE
from vlmeval.smp.vlm import encode_image_file_to_base64
class GLMVisionWrapper(BaseAPI):
is_api: bool = True
def __init__(self,
... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/gpt.py | null | null | null | null | null | null | Python | 2026-05-04T02:36:59.708014 | from ..smp import *
import os
import sys
from .base import BaseAPI
APIBASES = {
'OFFICIAL': 'https://api.openai.com/v1/chat/completions',
}
def GPT_context_window(model):
length_map = {
'gpt-4': 8192,
'gpt-4-0613': 8192,
'gpt-4-turbo-preview': 128000,
'gpt-4-1106-preview': 128... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/hf_chat_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:37:00.162622 | import os
import sys
import os.path as osp
import torch
from ..smp import *
def get_gpu_num(model_name):
model_name = model_name.lower()
kws = {
8: ['65b', '70b'],
4: ['30b', '33b', '35b', '40b'],
2: ['13b', '14b', '20b', '8b'],
1: ['6b', '7b', 'moss'],
}
for k in [8, 4... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/hunyuan.py | null | null | null | null | null | null | Python | 2026-05-04T02:37:00.167953 | from vlmeval.smp import *
import os
import sys
from vlmeval.api.base import BaseAPI
import math
from vlmeval.dataset import DATASET_TYPE
from vlmeval.dataset import img_root_map
from io import BytesIO
import pandas as pd
import requests
import json
import base64
import time
class HunyuanWrapper(BaseAPI):
is_api:... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/kimivl_api.py | null | null | null | null | null | null | Python | 2026-05-04T02:37:00.192244 | from ..smp import *
import os
import sys
from .base import BaseAPI
APIBASES = {
'OFFICIAL': 'http://localhost:8000/v1/chat/completions',
}
def extract_summary(text: str, bot: str = "◁think▷", eot: str = "◁/think▷") -> str:
# 输出截断, 返回空字符串
if bot in text and eot not in text:
return ""
if eot in... |
Alpha-VLLM/Lumina-DiMOO | https://github.com/Alpha-VLLM/Lumina-DiMOO | null | null | null | null | 968 | null | null | apache-2.0 | null | null | null | null | null | null | null | VLMEvalKit/vlmeval/api/jt_vl_chat.py | null | null | null | null | null | null | Python | 2026-05-04T02:37:00.223136 | import pandas as pd
import requests
import json
import os
import base64
from vlmeval.smp import *
from vlmeval.api.base import BaseAPI
from vlmeval.dataset import DATASET_TYPE
from vlmeval.dataset import img_root_map
API_ENDPOINT = 'https://jiutian.10086.cn/kunlun/ingress/api/h3t-eeceff/92390745235a40a484d850be19e1f8... |
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