repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/iSAID/isaid_json.py | projects/iSAID/isaid_json.py | import argparse
import json
import os.path as osp
def json_convert(path):
with open(path, 'r+') as f:
coco_data = json.load(f)
coco_data['categories'].append({'id': 0, 'name': 'background'})
coco_data['categories'] = sorted(
coco_data['categories'], key=lambda x: x['id'])
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/iSAID/configs/mask_rcnn_r50_fpn_1x_isaid.py | projects/iSAID/configs/mask_rcnn_r50_fpn_1x_isaid.py | _base_ = [
'../../../configs/_base_/models/mask-rcnn_r50_fpn.py',
'../../../configs/_base_/datasets/isaid_instance.py',
'../../../configs/_base_/schedules/schedule_1x.py',
'../../../configs/_base_/default_runtime.py'
]
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/codetr/co_roi_head.py | projects/CO-DETR/codetr/co_roi_head.py | from typing import List, Tuple
import torch
from torch import Tensor
from mmdet.models.roi_heads import StandardRoIHead
from mmdet.models.task_modules.samplers import SamplingResult
from mmdet.models.utils import unpack_gt_instances
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmd... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/codetr/co_dino_head.py | projects/CO-DETR/codetr/co_dino_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Linear
from mmcv.ops import batched_nms
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models import DINOHead
fr... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/codetr/codetr.py | projects/CO-DETR/codetr/codetr.py | import copy
from typing import Tuple, Union
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.models.detectors.base import BaseDetector
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList, SampleList
from mmdet.utils import InstanceList, OptConfigType, OptMultiConfig
@M... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/codetr/co_atss_head.py | projects/CO-DETR/codetr/co_atss_head.py | from typing import List
import torch
from torch import Tensor
from mmdet.models.dense_heads import ATSSHead
from mmdet.models.utils import images_to_levels, multi_apply
from mmdet.registry import MODELS
from mmdet.utils import InstanceList, OptInstanceList, reduce_mean
@MODELS.register_module()
class CoATSSHead(ATS... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/codetr/__init__.py | projects/CO-DETR/codetr/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .co_atss_head import CoATSSHead
from .co_dino_head import CoDINOHead
from .co_roi_head import CoStandardRoIHead
from .codetr import CoDETR
from .transformer import (CoDinoTransformer, DetrTransformerDecoderLayer,
DetrTransformerEncoder, Dino... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/codetr/transformer.py | projects/CO-DETR/codetr/transformer.py | import math
import warnings
import torch
import torch.nn as nn
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import (BaseTransformerLayer,
TransformerLayerSequence,
build_transformer_layer_sequence)
from mmcv.ops... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_r50_lsj_8xb2_3x_coco.py | projects/CO-DETR/configs/codino/co_dino_5scale_r50_lsj_8xb2_3x_coco.py | _base_ = ['co_dino_5scale_r50_lsj_8xb2_1x_coco.py']
param_scheduler = [dict(milestones=[30])]
train_cfg = dict(max_epochs=36)
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_r50_8xb2_1x_coco.py | projects/CO-DETR/configs/codino/co_dino_5scale_r50_8xb2_1x_coco.py | _base_ = './co_dino_5scale_r50_lsj_8xb2_1x_coco.py'
model = dict(
use_lsj=False, data_preprocessor=dict(pad_mask=False, batch_augments=None))
# train_pipeline, NOTE the img_scale and the Pad's size_divisor is different
# from the default setting in mmdet.
train_pipeline = [
dict(type='LoadImageFromFile', back... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_r50_lsj_8xb2_1x_coco.py | projects/CO-DETR/configs/codino/co_dino_5scale_r50_lsj_8xb2_1x_coco.py | _base_ = 'mmdet::common/ssj_scp_270k_coco-instance.py'
custom_imports = dict(
imports=['projects.CO-DETR.codetr'], allow_failed_imports=False)
# model settings
num_dec_layer = 6
loss_lambda = 2.0
num_classes = 80
image_size = (1024, 1024)
batch_augments = [
dict(type='BatchFixedSizePad', size=image_size, pad... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_lsj_16xb1_3x_coco.py | projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_lsj_16xb1_3x_coco.py | _base_ = ['co_dino_5scale_swin_l_lsj_16xb1_1x_coco.py']
model = dict(backbone=dict(drop_path_rate=0.5))
param_scheduler = [dict(type='MultiStepLR', milestones=[30])]
train_cfg = dict(max_epochs=36)
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_lsj_16xb1_1x_coco.py | projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_lsj_16xb1_1x_coco.py | _base_ = ['co_dino_5scale_r50_lsj_8xb2_1x_coco.py']
image_size = (1280, 1280)
batch_augments = [
dict(type='BatchFixedSizePad', size=image_size, pad_mask=True)
]
pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window12_384_22k.pth' # noqa
# model settings
model... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_16xb1_16e_o365tococo.py | projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_16xb1_16e_o365tococo.py | _base_ = ['co_dino_5scale_r50_8xb2_1x_coco.py']
pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window12_384_22k.pth' # noqa
load_from = 'https://download.openmmlab.com/mmdetection/v3.0/codetr/co_dino_5scale_swin_large_16e_o365tococo-614254c9.pth' # noqa
# model s... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_16xb1_1x_coco.py | projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_16xb1_1x_coco.py | _base_ = ['co_dino_5scale_r50_8xb2_1x_coco.py']
pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window12_384_22k.pth' # noqa
# model settings
model = dict(
backbone=dict(
_delete_=True,
type='SwinTransformer',
pretrain_img_size=384,
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_16xb1_3x_coco.py | projects/CO-DETR/configs/codino/co_dino_5scale_swin_l_16xb1_3x_coco.py | _base_ = ['co_dino_5scale_swin_l_16xb1_1x_coco.py']
# model settings
model = dict(backbone=dict(drop_path_rate=0.6))
param_scheduler = [dict(milestones=[30])]
train_cfg = dict(max_epochs=36)
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/DiffusionDet/model_converters/diffusiondet_resnet_to_mmdet.py | projects/DiffusionDet/model_converters/diffusiondet_resnet_to_mmdet.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import numpy as np
import torch
from mmengine.fileio import load
def convert(src, dst):
if src.endswith('pth'):
src_model = torch.load(src)
else:
src_model = load(src)
dst_state_dict = Ord... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/DiffusionDet/diffusiondet/diffusiondet.py | projects/DiffusionDet/diffusiondet/diffusiondet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models import SingleStageDetector
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
@MODELS.register_module()
class DiffusionDet(SingleStageDetector):
"""Implementation of `DiffusionDet <>`_"""
def __... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/DiffusionDet/diffusiondet/loss.py | projects/DiffusionDet/diffusiondet/loss.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Modified from https://github.com/ShoufaChen/DiffusionDet/blob/main/diffusiondet/loss.py # noqa
# This work is licensed under the CC-BY-NC 4.0 License.
# Users should be careful about adopting the... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/DiffusionDet/diffusiondet/__init__.py | projects/DiffusionDet/diffusiondet/__init__.py | from .diffusiondet import DiffusionDet
from .head import (DynamicConv, DynamicDiffusionDetHead,
SingleDiffusionDetHead, SinusoidalPositionEmbeddings)
from .loss import DiffusionDetCriterion, DiffusionDetMatcher
__all__ = [
'DiffusionDet', 'DynamicDiffusionDetHead', 'SingleDiffusionDetHead',
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/DiffusionDet/diffusiondet/head.py | projects/DiffusionDet/diffusiondet/head.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Modified from https://github.com/ShoufaChen/DiffusionDet/blob/main/diffusiondet/detector.py # noqa
# Modified from https://github.com/ShoufaChen/DiffusionDet/blob/main/diffusiondet/head.py # noq... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/DiffusionDet/configs/diffusiondet_r50_fpn_500-proposals_1-step_crop-ms-480-800-450k_coco.py | projects/DiffusionDet/configs/diffusiondet_r50_fpn_500-proposals_1-step_crop-ms-480-800-450k_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.DiffusionDet.diffusiondet'], allow_failed_imports=False)
# model settings
model = dict(
type='DiffusionDet',
data_prep... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/LabelStudio/backend_template/mmdetection.py | projects/LabelStudio/backend_template/mmdetection.py | # Copyright (c) OpenMMLab. All rights reserved.
import io
import json
import logging
import os
from urllib.parse import urlparse
import boto3
from botocore.exceptions import ClientError
from label_studio_ml.model import LabelStudioMLBase
from label_studio_ml.utils import (DATA_UNDEFINED_NAME, get_image_size,
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/LabelStudio/backend_template/_wsgi.py | projects/LabelStudio/backend_template/_wsgi.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import logging
import logging.config
import os
logging.config.dictConfig({
'version': 1,
'formatters': {
'standard': {
'format':
'[%(asctime)s] [%(levelname)s] [%(name)s::%(funcName)s::%(lineno)d] %(mess... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/ViTDet/vitdet/vit.py | projects/ViTDet/vitdet/vit.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import build_activation_layer, build_norm_layer
from mmcv.cnn.bricks import DropPath
from mmengine.logging import MMLogger
from mmengine.model import BaseM... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/ViTDet/vitdet/layer_decay_optimizer_constructor.py | projects/ViTDet/vitdet/layer_decay_optimizer_constructor.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
from typing import List
import torch.nn as nn
from mmengine.dist import get_dist_info
from mmengine.logging import MMLogger
from mmengine.optim import DefaultOptimWrapperConstructor
from mmdet.registry import OPTIM_WRAPPER_CONSTRUCTORS
def get_layer_id_for... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/ViTDet/vitdet/simple_fpn.py | projects/ViTDet/vitdet/simple_fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, build_norm_layer
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig, OptConfi... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/ViTDet/vitdet/fp16_compression_hook.py | projects/ViTDet/vitdet/fp16_compression_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.hooks import Hook
from mmdet.registry import HOOKS
@HOOKS.register_module()
class Fp16CompresssionHook(Hook):
"""Support fp16 compression in DDP mode.
In detectron2, vitdet use Fp16CompresssionHook in training process
Fp16CompresssionHook can... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/ViTDet/vitdet/__init__.py | projects/ViTDet/vitdet/__init__.py | from .fp16_compression_hook import Fp16CompresssionHook
from .layer_decay_optimizer_constructor import LayerDecayOptimizerConstructor
from .simple_fpn import SimpleFPN
from .vit import LN2d, ViT
__all__ = [
'LayerDecayOptimizerConstructor', 'ViT', 'SimpleFPN', 'LN2d',
'Fp16CompresssionHook'
]
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/ViTDet/configs/lsj-100e_coco-instance.py | projects/ViTDet/configs/lsj-100e_coco-instance.py | _base_ = [
'../../../configs/_base_/default_runtime.py',
]
# dataset settings
dataset_type = 'CocoDataset'
data_root = 'data/coco/'
image_size = (1024, 1024)
backend_args = None
train_pipeline = [
dict(type='LoadImageFromFile', backend_args=backend_args),
dict(type='LoadAnnotations', with_bbox=True, with... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/ViTDet/configs/vitdet_mask-rcnn_vit-b-mae_lsj-100e.py | projects/ViTDet/configs/vitdet_mask-rcnn_vit-b-mae_lsj-100e.py | _base_ = [
'../../../configs/_base_/models/mask-rcnn_r50_fpn.py',
'./lsj-100e_coco-instance.py',
]
custom_imports = dict(imports=['projects.ViTDet.vitdet'])
backbone_norm_cfg = dict(type='LN', requires_grad=True)
norm_cfg = dict(type='LN2d', requires_grad=True)
image_size = (1024, 1024)
batch_augments = [
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/SparseInst/configs/sparseinst_r50_iam_8xb8-ms-270k_coco.py | projects/SparseInst/configs/sparseinst_r50_iam_8xb8-ms-270k_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_instance.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.SparseInst.sparseinst'], allow_failed_imports=False)
model = dict(
type='SparseInst',
data_preprocessor=dict(
t... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/SparseInst/sparseinst/encoder.py | projects/SparseInst/sparseinst/encoder.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.model.weight_init import caffe2_xavier_init, kaiming_init
from mmdet.registry import MODELS
class PyramidPoolingModule(nn.Module):
def __init__(self,
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/SparseInst/sparseinst/decoder.py | projects/SparseInst/sparseinst/decoder.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.model.weight_init import caffe2_xavier_init, kaiming_init
from torch.nn import init
from mmdet.registry import MODELS
def _make_stack_3x3_convs(num_con... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/SparseInst/sparseinst/sparseinst.py | projects/SparseInst/sparseinst/sparseinst.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
from typing import List, Tuple, Union
import torch
import torch.nn.functional as F
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models import BaseDetector
from mmdet.models.utils import unpack_gt_instances
from ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/SparseInst/sparseinst/loss.py | projects/SparseInst/sparseinst/loss.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
from torch.cuda.amp import autocast
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.utils import reduce_mean
def compute... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/SparseInst/sparseinst/__init__.py | projects/SparseInst/sparseinst/__init__.py | from .decoder import BaseIAMDecoder, GroupIAMDecoder, GroupIAMSoftDecoder
from .encoder import PyramidPoolingModule
from .loss import SparseInstCriterion, SparseInstMatcher
from .sparseinst import SparseInst
__all__ = [
'BaseIAMDecoder', 'GroupIAMDecoder', 'GroupIAMSoftDecoder',
'PyramidPoolingModule', 'Sparse... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/demo.py | projects/XDecoder/demo.py | # Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser
from mmengine.config import Config
from mmengine.logging import print_log
from mmdet.apis import DetInferencer
from projects.XDecoder.xdecoder.inference import (
ImageCaptionInferencer, RefImageCaptionInferencer,
TextToImageRe... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/transformer_decoder.py | projects/XDecoder/xdecoder/transformer_decoder.py | import torch
from torch import nn
from torch.nn import functional as F
from mmdet.registry import MODELS
from .language_model import LanguageEncoder
from .transformer_blocks import (MLP, Conv2d, CrossAttentionLayer, FFNLayer,
PositionEmbeddingSine, SelfAttentionLayer)
from .utils impor... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/transformer_blocks.py | projects/XDecoder/xdecoder/transformer_blocks.py | import copy
import math
from typing import Optional
import torch
import torch.nn.functional as F
from torch import Tensor, nn
# modified from https://github.com/microsoft/X-Decoder/blob/main/xdecoder/body/transformer_blocks.py # noqa
"""Transformer class.
Copy-paste from torch.nn.Transformer with modifications:
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/utils.py | projects/XDecoder/xdecoder/utils.py | import logging
from contextlib import contextmanager
from functools import wraps
import torch
from mmcv.cnn.bricks.wrappers import obsolete_torch_version
from torch.nn import functional as F
TORCH_VERSION = tuple(int(x) for x in torch.__version__.split('.')[:2])
def is_lower_torch_version(version=(1, 10)):
"""C... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/language_model.py | projects/XDecoder/xdecoder/language_model.py | import os
from collections import OrderedDict
import torch
from mmcv.cnn.bricks import DropPath
from torch import nn
from transformers import CLIPTokenizer
from .utils import get_prompt_templates
# modified from https://github.com/microsoft/X-Decoder/blob/main/xdecoder/language/vlpencoder.py # noqa
class LanguageE... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/unified_head.py | projects/XDecoder/xdecoder/unified_head.py | import copy
from typing import Sequence
import torch
from mmengine.structures import InstanceData, PixelData
from torch import nn
from torch.nn import functional as F
from mmdet.evaluation.functional import INSTANCE_OFFSET
from mmdet.registry import MODELS
from .utils import (is_lower_torch_version, retry_if_cuda_oom... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/__init__.py | projects/XDecoder/xdecoder/__init__.py | from .focalnet import FocalNet
from .pixel_decoder import XTransformerEncoderPixelDecoder
from .transformer_decoder import XDecoderTransformerDecoder
from .unified_head import XDecoderUnifiedhead
from .xdecoder import XDecoder
__all__ = [
'XDecoder', 'FocalNet', 'XDecoderUnifiedhead',
'XTransformerEncoderPixel... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/focalnet.py | projects/XDecoder/xdecoder/focalnet.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as checkpoint
from mmcv.cnn.bricks import DropPath
from mmdet.registry import MODELS
# modified from https://github.com/microsoft/X-Decoder/blob/main/xdecoder/backbone/focal_dw.py # noqa
@MODELS.register_module()
class ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/xdecoder.py | projects/XDecoder/xdecoder/xdecoder.py | from torch import Tensor
from mmdet.models.detectors.single_stage import SingleStageDetector
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
@MODELS.register_module()
class XDecoder(SingleStageDetector):
def __init__(sel... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/pixel_decoder.py | projects/XDecoder/xdecoder/pixel_decoder.py | from typing import Callable, Optional, Union
from torch import nn
from torch.nn import functional as F
from mmdet.registry import MODELS
from .transformer_blocks import (Conv2d, PositionEmbeddingSine,
TransformerEncoder, TransformerEncoderLayer,
get_no... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/inference/__init__.py | projects/XDecoder/xdecoder/inference/__init__.py | from .image_caption import ImageCaptionInferencer, RefImageCaptionInferencer
from .texttoimage_regionretrieval_inferencer import \
TextToImageRegionRetrievalInferencer
__all__ = [
'ImageCaptionInferencer', 'RefImageCaptionInferencer',
'TextToImageRegionRetrievalInferencer'
]
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/inference/image_caption.py | projects/XDecoder/xdecoder/inference/image_caption.py | import copy
import os.path as osp
from typing import Iterable, List, Optional, Tuple, Union
import mmcv
import mmengine
import numpy as np
import torch
from mmengine.dataset import Compose
from rich.progress import track
from mmdet.apis.det_inferencer import DetInferencer, InputsType, PredType
from mmdet.utils import... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/xdecoder/inference/texttoimage_regionretrieval_inferencer.py | projects/XDecoder/xdecoder/inference/texttoimage_regionretrieval_inferencer.py | import copy
from typing import Iterable, Optional, Union
import torch
from mmengine.dataset import Compose
from rich.progress import track
from mmdet.apis.det_inferencer import DetInferencer, InputsType
from mmdet.utils import ConfigType
class TextToImageRegionRetrievalInferencer(DetInferencer):
def _init_pipe... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-instance_ade20k.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-instance_ade20k.py | _base_ = [
'_base_/xdecoder-tiny_open-vocab-instance.py',
'mmdet::_base_/datasets/ade20k_instance.py'
]
test_pipeline = [
dict(type='LoadImageFromFile', backend_args=_base_.backend_args),
dict(type='Resize', scale=(2560, 640), keep_ratio=True),
dict(type='LoadAnnotations', with_bbox=True, with_mask... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-ref-seg_refcocog.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-ref-seg_refcocog.py | _base_ = [
'_base_/xdecoder-tiny_ref-seg.py', 'mmdet::_base_/datasets/refcocog.py'
]
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-semseg_ade20k.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-semseg_ade20k.py | _base_ = [
'_base_/xdecoder-tiny_open-vocab-semseg.py',
'mmdet::_base_/datasets/ade20k_semantic.py'
]
test_pipeline = [
dict(type='LoadImageFromFile', backend_args=_base_.backend_args),
dict(type='Resize', scale=(2560, 640), keep_ratio=True),
dict(
type='LoadAnnotations',
with_bbox=... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_ref-caption.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_ref-caption.py | _base_ = 'xdecoder-tiny_zeroshot_caption_coco2014.py'
model = dict(head=dict(task='ref-caption'))
grounding_scale = 512
test_pipeline = [
dict(type='LoadImageFromFile', imdecode_backend='pillow'),
dict(type='ResizeShortestEdge', scale=224, backend='pillow'),
dict(
type='PackDetInputs',
me... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-instance_coco.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-instance_coco.py | _base_ = [
'_base_/xdecoder-tiny_open-vocab-instance.py',
'mmdet::_base_/datasets/coco_instance.py'
]
test_pipeline = [
dict(
type='LoadImageFromFile',
imdecode_backend='pillow',
backend_args=_base_.backend_args),
dict(
type='ResizeShortestEdge', scale=800, max_size=1333... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-panoptic_coco.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-panoptic_coco.py | _base_ = [
'_base_/xdecoder-tiny_open-vocab-panoptic.py',
'mmdet::_base_/datasets/coco_panoptic.py'
]
model = dict(test_cfg=dict(mask_thr=0.4))
test_pipeline = [
dict(
type='LoadImageFromFile',
imdecode_backend='pillow',
backend_args=_base_.backend_args),
dict(
type='Re... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-ref-seg_refcoco.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-ref-seg_refcoco.py | _base_ = [
'_base_/xdecoder-tiny_ref-seg.py', 'mmdet::_base_/datasets/refcoco.py'
]
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-ref-seg_refcoco+.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-ref-seg_refcoco+.py | _base_ = [
'_base_/xdecoder-tiny_ref-seg.py', 'mmdet::_base_/datasets/refcoco+.py'
]
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-semseg_coco.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-semseg_coco.py | _base_ = '_base_/xdecoder-tiny_open-vocab-semseg.py'
dataset_type = 'CocoSegDataset'
data_root = 'data/coco/'
test_pipeline = [
dict(
type='LoadImageFromFile', imdecode_backend='pillow',
backend_args=None),
dict(
type='ResizeShortestEdge', scale=800, max_size=1333, backend='pillow'),
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_caption_coco2014.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_caption_coco2014.py | _base_ = [
'_base_/xdecoder-tiny_caption.py', 'mmdet::_base_/datasets/coco_caption.py'
]
test_pipeline = [
dict(
type='LoadImageFromFile',
imdecode_backend='pillow',
backend_args=_base_.backend_args),
dict(type='ResizeShortestEdge', scale=224, backend='pillow'),
dict(
ty... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_text-image-retrieval.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_text-image-retrieval.py | _base_ = 'xdecoder-tiny_zeroshot_caption_coco2014.py'
model = dict(head=dict(task='retrieval'))
grounding_scale = 512
test_pipeline = [
dict(
type='LoadImageFromFile',
imdecode_backend='pillow',
backend_args=_base_.backend_args),
dict(
type='ResizeShortestEdge',
scale=... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-panoptic_ade20k.py | projects/XDecoder/configs/xdecoder-tiny_zeroshot_open-vocab-panoptic_ade20k.py | _base_ = [
'_base_/xdecoder-tiny_open-vocab-panoptic.py',
'mmdet::_base_/datasets/ade20k_panoptic.py'
]
model = dict(test_cfg=dict(mask_thr=0.4))
test_pipeline = [
dict(type='LoadImageFromFile', backend_args=_base_.backend_args),
dict(type='Resize', scale=(2560, 640), keep_ratio=True),
dict(type='... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/_base_/xdecoder-tiny_caption.py | projects/XDecoder/configs/_base_/xdecoder-tiny_caption.py | _base_ = 'xdecoder-tiny_open-vocab-semseg.py'
model = dict(head=dict(task='caption'))
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/_base_/xdecoder-tiny_open-vocab-semseg.py | projects/XDecoder/configs/_base_/xdecoder-tiny_open-vocab-semseg.py | _base_ = 'mmdet::_base_/default_runtime.py'
custom_imports = dict(
imports=['projects.XDecoder.xdecoder'], allow_failed_imports=False)
model = dict(
type='XDecoder',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/_base_/xdecoder-tiny_open-vocab-panoptic.py | projects/XDecoder/configs/_base_/xdecoder-tiny_open-vocab-panoptic.py | _base_ = 'xdecoder-tiny_open-vocab-semseg.py'
model = dict(
head=dict(task='panoptic'), test_cfg=dict(mask_thr=0.8, overlap_thr=0.8))
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/_base_/xdecoder-tiny_open-vocab-instance.py | projects/XDecoder/configs/_base_/xdecoder-tiny_open-vocab-instance.py | _base_ = 'xdecoder-tiny_open-vocab-semseg.py'
model = dict(head=dict(task='instance'), test_cfg=dict(max_per_img=100))
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/XDecoder/configs/_base_/xdecoder-tiny_ref-seg.py | projects/XDecoder/configs/_base_/xdecoder-tiny_ref-seg.py | _base_ = 'xdecoder-tiny_open-vocab-semseg.py'
model = dict(head=dict(task='ref-seg'))
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/HDINO/h_dino_head.py | projects/HDINO/h_dino_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List
from torch import Tensor
from mmdet.models.dense_heads.dino_head import DINOHead
from mmdet.models.utils import multi_apply
from mmdet.registry import MODELS
from mmdet.utils import InstanceList, OptInstanceList
@MODELS.register_module()
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/HDINO/h-dino-4scale_r50_8xb2-12e_coco.py | projects/HDINO/h-dino-4scale_r50_8xb2-12e_coco.py | _base_ = [
'../../configs/_base_/datasets/coco_detection.py',
'../../configs/_base_/default_runtime.py'
]
custom_imports = dict(imports=['projects.HDINO'], allow_failed_imports=False)
model = dict(
type='HDINO',
num_queries=1800, # num_total_queries: 900+900
with_box_refine=True,
as_two_stage... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/HDINO/__init__.py | projects/HDINO/__init__.py | from .h_dino import HDINO
from .h_dino_head import HybridDINOHead
__all__ = ['HDINO', 'HybridDINOHead']
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/HDINO/h_dino.py | projects/HDINO/h_dino.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch
from torch import Tensor, nn
from torch.nn.init import normal_
from mmdet.models.detectors import DINO, DeformableDETR
from mmdet.models.detectors.deformable_detr import \
MultiScaleDeformableAttention
from mmdet.registry import... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/convert_tf_to_pt.py | projects/EfficientDet/convert_tf_to_pt.py | import argparse
import numpy as np
import torch
from tensorflow.python.training import py_checkpoint_reader
torch.set_printoptions(precision=20)
def tf2pth(v):
if v.ndim == 4:
return np.ascontiguousarray(v.transpose(3, 2, 0, 1))
elif v.ndim == 2:
return np.ascontiguousarray(v.transpose())
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/efficientdet_head.py | projects/EfficientDet/efficientdet/efficientdet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch
import torch.nn as nn
from mmcv.cnn.bricks import Swish, build_norm_layer
from mmengine.model import bias_init_with_prob
from torch import Tensor
from mmdet.models.dense_heads.anchor_head import AnchorHead
from mmdet.models.ut... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/utils.py | projects/EfficientDet/efficientdet/utils.py | import math
from typing import Tuple, Union
import torch
import torch.nn as nn
from mmcv.cnn.bricks import Swish, build_norm_layer
from torch.nn import functional as F
from torch.nn.init import _calculate_fan_in_and_fan_out, trunc_normal_
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType
def v... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/bifpn.py | projects/EfficientDet/efficientdet/bifpn.py | from typing import List
import torch
import torch.nn as nn
from mmcv.cnn.bricks import Swish
from mmengine.model import BaseModule
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig, OptConfigType
from .utils import DepthWiseConvBlock, DownChannelBlock, MaxPool2dSamePadding
class BiFPNStage(nn.Mo... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/efficientdet.py | projects/EfficientDet/efficientdet/efficientdet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.detectors.single_stage import SingleStageDetector
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
@MODELS.register_module()
class EfficientDet(SingleStageDetector):
def __init__(self,
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/__init__.py | projects/EfficientDet/efficientdet/__init__.py | from .bifpn import BiFPN
from .efficientdet import EfficientDet
from .efficientdet_head import EfficientDetSepBNHead
from .huber_loss import HuberLoss
from .tensorflow.anchor_generator import YXYXAnchorGenerator
from .tensorflow.coco_90class import Coco90Dataset
from .tensorflow.coco_90metric import Coco90Metric
from .... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/huber_loss.py | projects/EfficientDet/efficientdet/huber_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.models.losses.utils import weighted_loss
from mmdet.registry import MODELS
@weighted_loss
def huber_loss(pred: Tensor, target: Tensor, beta: float = 1.0) -> Tensor:
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/tensorflow/coco_90class.py | projects/EfficientDet/efficientdet/tensorflow/coco_90class.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import List, Union
from mmengine.fileio import get_local_path
from mmdet.datasets.base_det_dataset import BaseDetDataset
from mmdet.registry import DATASETS
from .api_wrappers import COCO
@DATASETS.register_module()
class ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/tensorflow/yxyx_bbox_coder.py | projects/EfficientDet/efficientdet/tensorflow/yxyx_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch
from mmdet.models.task_modules.coders.delta_xywh_bbox_coder import \
DeltaXYWHBBoxCoder
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import HorizontalBoxes, get_box_tensor
@TASK_UTILS.register_mod... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/tensorflow/trans_max_iou_assigner.py | projects/EfficientDet/efficientdet/tensorflow/trans_max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.structures import InstanceData
from mmdet.models.task_modules.assigners.assign_result import AssignResult
from mmdet.models.task_modules.assigners.max_iou_assigner import MaxIoUAssigner
from mmdet.registry import TA... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/tensorflow/anchor_generator.py | projects/EfficientDet/efficientdet/tensorflow/anchor_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import torch
from torch import Tensor
from mmdet.models.task_modules.prior_generators.anchor_generator import \
AnchorGenerator
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import HorizontalBoxes
DeviceT... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/tensorflow/coco_90metric.py | projects/EfficientDet/efficientdet/tensorflow/coco_90metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import itertools
import os.path as osp
import tempfile
from collections import OrderedDict
from typing import Dict, List, Optional, Sequence, Union
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.fileio import dump, get_local_pa... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/tensorflow/api_wrappers/coco_api.py | projects/EfficientDet/efficientdet/tensorflow/api_wrappers/coco_api.py | # Copyright (c) OpenMMLab. All rights reserved.
# This file add snake case alias for coco api
import warnings
from collections import defaultdict
from typing import List, Optional, Union
import pycocotools
from pycocotools.coco import COCO as _COCO
from pycocotools.cocoeval import COCOeval as _COCOeval
class COCO(_... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/efficientdet/tensorflow/api_wrappers/__init__.py | projects/EfficientDet/efficientdet/tensorflow/api_wrappers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .coco_api import COCO, COCOeval, COCOPanoptic
__all__ = ['COCO', 'COCOeval', 'COCOPanoptic']
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/configs/efficientdet_effb3_bifpn_8xb16-crop896-300e_coco.py | projects/EfficientDet/configs/efficientdet_effb3_bifpn_8xb16-crop896-300e_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 896
batch_augments = [
dict(type='BatchFixedSizePad',... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/configs/efficientdet_effb3_bifpn_8xb16-crop896-300e_coco-90cls.py | projects/EfficientDet/configs/efficientdet_effb3_bifpn_8xb16-crop896-300e_coco-90cls.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 896
batch_augments = [
dict(type='BatchFixedSizePad',... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/configs/efficientdet_effb0_bifpn_8xb16-crop512-300e_coco.py | projects/EfficientDet/configs/efficientdet_effb0_bifpn_8xb16-crop512-300e_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 512
batch_augments = [
dict(type='BatchFixedSizePad',... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/EfficientDet/configs/tensorflow/efficientdet_effb0_bifpn_8xb16-crop512-300e_coco_tf.py | projects/EfficientDet/configs/tensorflow/efficientdet_effb0_bifpn_8xb16-crop512-300e_coco_tf.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 512
batch_augments = [
dict(type='BatchFixedSizePad',... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/coco.py | projects/RF100-Benchmark/coco.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import List, Union
from mmengine.fileio import get_local_path
from mmdet.datasets.api_wrappers import COCO
from mmdet.datasets.coco import CocoDataset
from mmdet.registry import DATASETS
@DATASETS.register_module()
class R... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/coco_metric.py | projects/RF100-Benchmark/coco_metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import os.path as osp
import tempfile
from collections import OrderedDict
from typing import Dict
import numpy as np
from mmengine.fileio import load
from mmengine.logging import MMLogger
from terminaltables import AsciiTable
from mmdet.datasets.api_wra... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/__init__.py | projects/RF100-Benchmark/__init__.py | from .coco import RF100CocoDataset
from .coco_metric import RF100CocoMetric
__all__ = ['RF100CocoDataset', 'RF100CocoMetric']
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/scripts/log_extract.py | projects/RF100-Benchmark/scripts/log_extract.py | import argparse
import csv
import json
import os
import re
import numpy as np
import pandas as pd
from openpyxl import load_workbook
from openpyxl.styles import Alignment
def parse_args():
parser = argparse.ArgumentParser(description='log_name')
parser.add_argument(
'method', type=str, help='method n... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/scripts/download_dataset.py | projects/RF100-Benchmark/scripts/download_dataset.py | from argparse import ArgumentParser
from os import environ
from pathlib import Path
from roboflow import Roboflow
def main():
# construct the argument parser and parse the arguments
parser = ArgumentParser()
parser.add_argument(
'-p',
'--project',
required=True,
type=str,... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/scripts/create_new_config.py | projects/RF100-Benchmark/scripts/create_new_config.py | from argparse import ArgumentParser
from mmengine.fileio import load
from mmengine.utils import mkdir_or_exist
def parse_args():
parser = ArgumentParser(description='create new config')
parser.add_argument('config')
parser.add_argument('dataset')
parser.add_argument('--save-dir', default='temp_config... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/scripts/parse_dataset_link.py | projects/RF100-Benchmark/scripts/parse_dataset_link.py | import re
from argparse import ArgumentParser
def main():
parser = ArgumentParser(
description='A handy script that will decompose and print from '
"a roboflow dataset link it's workspace, project and version")
parser.add_argument(
'-l', '--link', required=True, help='A link to a robof... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/configs/tood_r50_fpn_ms_8xb8_tweeter-profile.py | projects/RF100-Benchmark/configs/tood_r50_fpn_ms_8xb8_tweeter-profile.py | _base_ = '../../../configs/tood/tood_r50_fpn_1x_coco.py'
custom_imports = dict(
imports=['projects.RF100-Benchmark'], allow_failed_imports=False)
data_root = 'rf100/tweeter-profile/'
class_name = ('profile_info', )
num_classes = len(class_name)
metainfo = dict(classes=class_name)
image_scale = (640, 640)
model =... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/configs/dino_r50_fpn_ms_8xb8_tweeter-profile.py | projects/RF100-Benchmark/configs/dino_r50_fpn_ms_8xb8_tweeter-profile.py | _base_ = '../../../configs/dino/dino-4scale_r50_8xb2-12e_coco.py'
custom_imports = dict(
imports=['projects.RF100-Benchmark'], allow_failed_imports=False)
data_root = 'rf100/tweeter-profile/'
class_name = ('profile_info', )
num_classes = len(class_name)
metainfo = dict(classes=class_name)
image_scale = (640, 640)... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/RF100-Benchmark/configs/faster-rcnn_r50_fpn_ms_8xb8_tweeter-profile.py | projects/RF100-Benchmark/configs/faster-rcnn_r50_fpn_ms_8xb8_tweeter-profile.py | _base_ = '../../../configs/faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py'
custom_imports = dict(
imports=['projects.RF100-Benchmark'], allow_failed_imports=False)
data_root = 'rf100/tweeter-profile/'
class_name = ('profile_info', )
num_classes = len(class_name)
metainfo = dict(classes=class_name)
image_scale = (640,... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/example_project/dummy/__init__.py | projects/example_project/dummy/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .dummy_resnet import DummyResNet
__all__ = ['DummyResNet']
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
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