repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
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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 |
|---|---|---|---|---|---|---|---|---|
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/cityscapes_evaluation.py | detectron2/evaluation/cityscapes_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import glob
import logging
import numpy as np
import os
import tempfile
from collections import OrderedDict
import torch
from PIL import Image
from detectron2.data import MetadataCatalog
from detectron2.utils import comm
from detectron2.utils.file_io import PathManage... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/__init__.py | detectron2/evaluation/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .cityscapes_evaluation import CityscapesInstanceEvaluator, CityscapesSemSegEvaluator
from .coco_evaluation import COCOEvaluator
from .rotated_coco_evaluation import RotatedCOCOEvaluator
from .evaluator import DatasetEvaluator, DatasetEvaluators, inference_context,... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/pascal_voc_evaluation.py | detectron2/evaluation/pascal_voc_evaluation.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import os
import tempfile
import xml.etree.ElementTree as ET
from collections import OrderedDict, defaultdict
from functools import lru_cache
import torch
from detectron2.data import MetadataCatalog
from detec... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/fast_eval_api.py | detectron2/evaluation/fast_eval_api.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import numpy as np
import time
from pycocotools.cocoeval import COCOeval
from detectron2 import _C
logger = logging.getLogger(__name__)
class COCOeval_opt(COCOeval):
"""
This is a slightly modified version of the original COCO API... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/panoptic_evaluation.py | detectron2/evaluation/panoptic_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import io
import itertools
import json
import logging
import numpy as np
import os
import tempfile
from collections import OrderedDict
from typing import Optional
from PIL import Image
from tabulate import tabulate
from detectron2.data import Metadat... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/docs/conf.py | docs/conf.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
# flake8: noqa
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.py | configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.py | from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_fpn import model
from ..common.train import train
model.backbone.bottom_up.freeze_at = 2
train.init_checkpoint = "detectron2://ImageN... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.py | configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.py | from ..common.train import train
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_c4 import model
model.backbone.freeze_at = 2
train.init_checkpoint = "detectron2://ImageNetPretraine... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py | configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py | from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_fpn import model
from ..common.train import train
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone impor... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py | configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py | from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_fpn import model
from ..common.train import train
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone impor... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/Misc/torchvision_imagenet_R_50.py | configs/Misc/torchvision_imagenet_R_50.py | """
An example config file to train a ImageNet classifier with detectron2.
Model and dataloader both come from torchvision.
This shows how to use detectron2 as a general engine for any new models and tasks.
To run, use the following command:
python tools/lazyconfig_train_net.py --config-file configs/Misc/torchvision_... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/Misc/mmdet_mask_rcnn_R_50_FPN_1x.py | configs/Misc/mmdet_mask_rcnn_R_50_FPN_1x.py | # An example config to train a mmdetection model using detectron2.
from ..common.data.coco import dataloader
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.optim import SGD as optimizer
from ..common.train import train
from ..common.data.constants import constants
from detectron2.m... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_R_50_FPN_200ep_LSJ.py | configs/new_baselines/mask_rcnn_R_50_FPN_200ep_LSJ.py | from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
lr_multiplier.scheduler.milestones = [
milestone * 2 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = train.max_ite... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_R_101_FPN_400ep_LSJ.py | configs/new_baselines/mask_rcnn_R_101_FPN_400ep_LSJ.py | from .mask_rcnn_R_101_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
lr_multiplier.scheduler.milestones = [
milestone * 4 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = train.max_it... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_R_50_FPN_400ep_LSJ.py | configs/new_baselines/mask_rcnn_R_50_FPN_400ep_LSJ.py | from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
lr_multiplier.scheduler.milestones = [
milestone * 4 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = train.max_ite... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py | configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py | from .mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
lr_multiplier.scheduler.milestones = [
milestone * 4 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = tr... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_R_101_FPN_100ep_LSJ.py | configs/new_baselines/mask_rcnn_R_101_FPN_100ep_LSJ.py | from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
model.backbone.bottom_up.stages.depth = 101
| python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_R_101_FPN_200ep_LSJ.py | configs/new_baselines/mask_rcnn_R_101_FPN_200ep_LSJ.py | from .mask_rcnn_R_101_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
lr_multiplier.scheduler.milestones = [
milestone * 2 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = train.max_it... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py | configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py | from .mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
lr_multiplier.scheduler.milestones = [
milestone * 2 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = tr... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_R_50_FPN_100ep_LSJ.py | configs/new_baselines/mask_rcnn_R_50_FPN_100ep_LSJ.py | import detectron2.data.transforms as T
from detectron2.config.lazy import LazyCall as L
from detectron2.layers.batch_norm import NaiveSyncBatchNorm
from detectron2.solver import WarmupParamScheduler
from fvcore.common.param_scheduler import MultiStepParamScheduler
from ..common.data.coco import dataloader
from ..commo... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_R_50_FPN_50ep_LSJ.py | configs/new_baselines/mask_rcnn_R_50_FPN_50ep_LSJ.py | from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter //= 2 # 100ep -> 50ep
lr_multiplier.scheduler.milestones = [
milestone // 2 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = train.max_it... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py | configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py | from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone import RegNet
from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
# Config source:
# https://git... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py | configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py | from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone import RegNet
from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
# Config source:
# https://git... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py | configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py | from .mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
lr_multiplier.scheduler.milestones = [
milestone * 2 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = tr... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py | configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py | from .mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
lr_multiplier.scheduler.milestones = [
milestone * 4 for milestone in lr_multiplier.scheduler.milestones
]
lr_multiplier.scheduler.num_updates = tr... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-Detection/retinanet_R_50_FPN_1x.py | configs/COCO-Detection/retinanet_R_50_FPN_1x.py | from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.retinanet import model
from ..common.train import train
dataloader.train.mapper.use_instance_mask = False
model.backbone.bottom_up.freeze_at = ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-Detection/fcos_R_50_FPN_1x.py | configs/COCO-Detection/fcos_R_50_FPN_1x.py | from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.fcos import model
from ..common.train import train
dataloader.train.mapper.use_instance_mask = False
optimizer.lr = 0.01
model.backbone.bottom... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/train.py | configs/common/train.py | # Common training-related configs that are designed for "tools/lazyconfig_train_net.py"
# You can use your own instead, together with your own train_net.py
train = dict(
output_dir="./output",
init_checkpoint="",
max_iter=90000,
amp=dict(enabled=False), # options for Automatic Mixed Precision
ddp=d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/optim.py | configs/common/optim.py | import torch
from detectron2.config import LazyCall as L
from detectron2.solver.build import get_default_optimizer_params
SGD = L(torch.optim.SGD)(
params=L(get_default_optimizer_params)(
# params.model is meant to be set to the model object, before instantiating
# the optimizer.
weight_de... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/coco_schedule.py | configs/common/coco_schedule.py | from fvcore.common.param_scheduler import MultiStepParamScheduler
from detectron2.config import LazyCall as L
from detectron2.solver import WarmupParamScheduler
def default_X_scheduler(num_X):
"""
Returns the config for a default multi-step LR scheduler such as "1x", "3x",
commonly referred to in papers,... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/mask_rcnn_fpn.py | configs/common/models/mask_rcnn_fpn.py | from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.meta_arch import GeneralizedRCNN
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator
from detectron2.modeling.backbone.fpn import LastLevelMaxPool
from detectron2.modeling.backbone import Bas... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/mask_rcnn_vitdet.py | configs/common/models/mask_rcnn_vitdet.py | from functools import partial
import torch.nn as nn
from detectron2.config import LazyCall as L
from detectron2.modeling import ViT, SimpleFeaturePyramid
from detectron2.modeling.backbone.fpn import LastLevelMaxPool
from .mask_rcnn_fpn import model
from ..data.constants import constants
model.pixel_mean = constants.i... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/retinanet.py | configs/common/models/retinanet.py | # -*- coding: utf-8 -*-
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.meta_arch import RetinaNet
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator
from detectron2.modeling.backbone.fpn import LastLevelP6P7
from detectron2.modeling.bac... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/panoptic_fpn.py | configs/common/models/panoptic_fpn.py | from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling import PanopticFPN
from detectron2.modeling.meta_arch.semantic_seg import SemSegFPNHead
from .mask_rcnn_fpn import model
model._target_ = PanopticFPN
model.sem_seg_head = L(SemSegFPNHead)(
input_shape={
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/cascade_rcnn.py | configs/common/models/cascade_rcnn.py | from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.matcher import Matcher
from detectron2.modeling.roi_heads import FastRCNNOutputLayers, FastRCNNConvFCHead, CascadeROIHeads
from .mask_rcnn_fpn imp... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/mask_rcnn_c4.py | configs/common/models/mask_rcnn_c4.py | from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.meta_arch import GeneralizedRCNN
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator
from detectron2.modeling.backbone import BasicStem, BottleneckBlock, ResNet
from detectron2.modeling.box_r... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/fcos.py | configs/common/models/fcos.py | from detectron2.modeling.meta_arch.fcos import FCOS, FCOSHead
from .retinanet import model
model._target_ = FCOS
del model.anchor_generator
del model.box2box_transform
del model.anchor_matcher
del model.input_format
# Use P5 instead of C5 to compute P6/P7
# (Sec 2.2 of https://arxiv.org/abs/2006.09214)
model.backbo... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/models/keypoint_rcnn_fpn.py | configs/common/models/keypoint_rcnn_fpn.py | from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.poolers import ROIPooler
from detectron2.modeling.roi_heads import KRCNNConvDeconvUpsampleHead
from .mask_rcnn_fpn import model
[model.roi_heads.pop(x) for x in ["mask_in_features", "mask_pooler", "mask_head"]... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/data/coco.py | configs/common/data/coco.py | from omegaconf import OmegaConf
import detectron2.data.transforms as T
from detectron2.config import LazyCall as L
from detectron2.data import (
DatasetMapper,
build_detection_test_loader,
build_detection_train_loader,
get_detection_dataset_dicts,
)
from detectron2.evaluation import COCOEvaluator
data... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/data/constants.py | configs/common/data/constants.py | constants = dict(
imagenet_rgb256_mean=[123.675, 116.28, 103.53],
imagenet_rgb256_std=[58.395, 57.12, 57.375],
imagenet_bgr256_mean=[103.530, 116.280, 123.675],
# When using pre-trained models in Detectron1 or any MSRA models,
# std has been absorbed into its conv1 weights, so the std needs to be se... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/data/coco_panoptic_separated.py | configs/common/data/coco_panoptic_separated.py | from detectron2.config import LazyCall as L
from detectron2.evaluation import (
COCOEvaluator,
COCOPanopticEvaluator,
DatasetEvaluators,
SemSegEvaluator,
)
from .coco import dataloader
dataloader.train.dataset.names = "coco_2017_train_panoptic_separated"
dataloader.train.dataset.filter_empty = False
d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/common/data/coco_keypoint.py | configs/common/data/coco_keypoint.py | from detectron2.data.detection_utils import create_keypoint_hflip_indices
from .coco import dataloader
dataloader.train.dataset.min_keypoints = 1
dataloader.train.dataset.names = "keypoints_coco_2017_train"
dataloader.test.dataset.names = "keypoints_coco_2017_val"
dataloader.train.mapper.update(
use_instance_mas... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.py | configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.py | from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco_panoptic_separated import dataloader
from ..common.models.panoptic_fpn import model
from ..common.train import train
model.backbone.bottom_up.freeze_at = 2
train.init_checkpoint = "d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.py | configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.py | from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco_keypoint import dataloader
from ..common.models.keypoint_rcnn_fpn import model
from ..common.train import train
model.backbone.bottom_up.freeze_at = 2
train.init_checkpoint = "detect... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/train_net.py | projects/PointRend/train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
PointRend Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import detectron2.data.transforms as T
import detectron2.utils.comm as comm
from detectron2.checkpoint import Detecti... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/mask_head.py | projects/PointRend/point_rend/mask_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
import numpy as np
from typing import Dict, List, Tuple
import fvcore.nn.weight_init as weight_init
import torch
from torch import Tensor, nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.lay... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/color_augmentation.py | projects/PointRend/point_rend/color_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import random
import cv2
from fvcore.transforms.transform import Transform
class ColorAugSSDTransform(Transform):
"""
A color related data augmentation used in Single Shot Multibox Detector (SSD).
Wei Liu, Dragomir Anguelov, Dumitru Er... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/semantic_seg.py | projects/PointRend/point_rend/semantic_seg.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Dict
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.layers import ShapeSpec, cat
from detectron2.modeling import SEM_SEG_HEADS_REGISTRY
from .point_features import (
get_uncertain_point... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/point_head.py | projects/PointRend/point_rend/point_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.layers import ShapeSpec, cat
from detectron2.utils.events import get_event_storage
from detectron2.utils.registry impo... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/config.py | projects/PointRend/point_rend/config.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.config import CfgNode as CN
def add_pointrend_config(cfg):
"""
Add config for PointRend.
"""
# We retry random cropping until no single category in semantic segmentation GT occupies more
# than `SINGLE_CATE... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/__init__.py | projects/PointRend/point_rend/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .config import add_pointrend_config
from .mask_head import PointRendMaskHead, ImplicitPointRendMaskHead
from .semantic_seg import PointRendSemSegHead
from .color_augmentation import ColorAugSSDTransform
from . import roi_heads as _ # only registration
| python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/roi_heads.py | projects/PointRend/point_rend/roi_heads.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from detectron2.modeling import ROI_HEADS_REGISTRY, StandardROIHeads
@ROI_HEADS_REGISTRY.register()
class PointRendROIHeads(StandardROIHeads):
"""
Identical to StandardROIHeads, except for some weights conversion code to
handle old models.... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/PointRend/point_rend/point_features.py | projects/PointRend/point_rend/point_features.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch.nn import functional as F
from detectron2.layers import cat, shapes_to_tensor
from detectron2.structures import BitMasks, Boxes
"""
Shape shorthand in this module:
N: minibatch dimension size, i.e. the number of RoIs for instance segmena... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/apply_net.py | projects/DensePose/apply_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import glob
import logging
import os
import sys
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.config import CfgNode, get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.engi... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/query_db.py | projects/DensePose/query_db.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import logging
import os
import sys
from timeit import default_timer as timer
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.data.catalog import DatasetCatalog
from detectron2.utils.file_io import Path... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/setup.py | projects/DensePose/setup.py | import re
from pathlib import Path
from setuptools import find_packages, setup
try:
import torch # noqa: F401
except ImportError as e:
raise Exception(
"""
You must install PyTorch prior to installing DensePose:
pip install torch
For more information:
https://pytorch.org/get-started/locally/
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/train_net.py | projects/DensePose/train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
DensePose Training Script.
This script is similar to the training script in detectron2/tools.
It is an example of how a user might use detectron2 for a new project.
"""
from datetime import timedelta
import detectron2.utils.comm as comm
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/config.py | projects/DensePose/densepose/config.py | # -*- coding = utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
# pyre-ignore-all-errors
from detectron2.config import CfgNode as CN
def add_dataset_category_config(cfg: CN) -> None:
"""
Add config for additional category-related dataset options
- category whitelisting
- category mappin... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/__init__.py | projects/DensePose/densepose/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from .data.datasets import builtin # just to register data
from .converters import builtin as builtin_converters # register converters
from .config import (
add_densepose_config,
add_densepose_head_config,
add_hrnet_config,
add_dataset_... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/to_chart_result.py | projects/DensePose/densepose/converters/to_chart_result.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any
from detectron2.structures import Boxes
from ..structures import DensePoseChartResult, DensePoseChartResultWithConfidences
from .base import BaseConverter
class ToChartResultConverter(BaseConverter):
"""
Converts vario... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/builtin.py | projects/DensePose/densepose/converters/builtin.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from ..structures import DensePoseChartPredictorOutput, DensePoseEmbeddingPredictorOutput
from . import (
HFlipConverter,
ToChartResultConverter,
ToChartResultConverterWithConfidences,
ToMaskConverter,
densepose_chart_predictor_outpu... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/to_mask.py | projects/DensePose/densepose/converters/to_mask.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any, Tuple
from detectron2.structures import BitMasks, Boxes
from .base import BaseConverter
ImageSizeType = Tuple[int, int]
class ToMaskConverter(BaseConverter):
"""
Converts various DensePose predictor outputs to masks
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/chart_output_hflip.py | projects/DensePose/densepose/converters/chart_output_hflip.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from dataclasses import fields
import torch
from densepose.structures import DensePoseChartPredictorOutput, DensePoseTransformData
def densepose_chart_predictor_output_hflip(
densepose_predictor_output: DensePoseChartPredictorOutput,
transform... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/chart_output_to_chart_result.py | projects/DensePose/densepose/converters/chart_output_to_chart_result.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Dict
import torch
from torch.nn import functional as F
from detectron2.structures.boxes import Boxes, BoxMode
from ..structures import (
DensePoseChartPredictorOutput,
DensePoseChartResult,
DensePoseChartResultWithConfid... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/hflip.py | projects/DensePose/densepose/converters/hflip.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any
from .base import BaseConverter
class HFlipConverter(BaseConverter):
"""
Converts various DensePose predictor outputs to DensePose results.
Each DensePose predictor output type has to register its convertion strateg... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/__init__.py | projects/DensePose/densepose/converters/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from .hflip import HFlipConverter
from .to_mask import ToMaskConverter
from .to_chart_result import ToChartResultConverter, ToChartResultConverterWithConfidences
from .segm_to_mask import (
predictor_output_with_fine_and_coarse_segm_to_mask,
pre... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/segm_to_mask.py | projects/DensePose/densepose/converters/segm_to_mask.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.structures import BitMasks, Boxes, BoxMode
from .base import IntTupleBox, make_int_box
from .to_mask import ImageSizeType
def resample_coarse_segm_tensor_to_bbo... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/converters/base.py | projects/DensePose/densepose/converters/base.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any, Tuple, Type
import torch
class BaseConverter:
"""
Converter base class to be reused by various converters.
Converter allows one to convert data from various source types to a particular
destination type. Each so... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/cse_confidence.py | projects/DensePose/densepose/structures/cse_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from dataclasses import make_dataclass
from functools import lru_cache
from typing import Any, Optional
import torch
@lru_cache(maxsize=None)
def decorate_cse_predictor_output_class_with_confidences(BasePredictorOutput: type) -> type:
"""
Crea... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/chart.py | projects/DensePose/densepose/structures/chart.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from dataclasses import dataclass
from typing import Union
import torch
@dataclass
class DensePoseChartPredictorOutput:
"""
Predictor output that contains segmentation and inner coordinates predictions for predefined
body parts:
* coa... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/chart_result.py | projects/DensePose/densepose/structures/chart_result.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from dataclasses import dataclass
from typing import Any, Optional, Tuple
import torch
@dataclass
class DensePoseChartResult:
"""
DensePose results for chart-based methods represented by labels and inner
coordinates (U, V) of individual ch... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/list.py | projects/DensePose/densepose/structures/list.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
import torch
from densepose.structures.data_relative import DensePoseDataRelative
class DensePoseList:
_TORCH_DEVICE_CPU = torch.device("cpu")
def __init__(self, densepose_datas, boxes_xyxy_abs, image_size_hw, device=_TORCH_DEVICE_CPU):
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/__init__.py | projects/DensePose/densepose/structures/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from .chart import DensePoseChartPredictorOutput
from .chart_confidence import decorate_predictor_output_class_with_confidences
from .cse_confidence import decorate_cse_predictor_output_class_with_confidences
from .chart_result import (
DensePoseCha... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/cse.py | projects/DensePose/densepose/structures/cse.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# pyre-unsafe
from dataclasses import dataclass
from typing import Union
import torch
@dataclass
class DensePoseEmbeddingPredictorOutput:
"""
Predictor output that contains embedding and coarse segmentation data:
* embedding: float ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/chart_confidence.py | projects/DensePose/densepose/structures/chart_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from dataclasses import make_dataclass
from functools import lru_cache
from typing import Any, Optional
import torch
@lru_cache(maxsize=None)
def decorate_predictor_output_class_with_confidences(BasePredictorOutput: type) -> type:
"""
Create a... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/mesh.py | projects/DensePose/densepose/structures/mesh.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# pyre-unsafe
import pickle
from functools import lru_cache
from typing import Dict, Optional, Tuple
import torch
from detectron2.utils.file_io import PathManager
from densepose.data.meshes.catalog import MeshCatalog, MeshInfo
def _maybe_copy_... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/transform_data.py | projects/DensePose/densepose/structures/transform_data.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import BinaryIO, Dict, Union
import torch
def normalized_coords_transform(x0, y0, w, h):
"""
Coordinates transform that maps top left corner to (-1, -1) and bottom
right corner to (1, 1). Used for torch.grid_sample to initialize... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/structures/data_relative.py | projects/DensePose/densepose/structures/data_relative.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
import numpy as np
import torch
from torch.nn import functional as F
from densepose.data.meshes.catalog import MeshCatalog
from densepose.structures.mesh import load_mesh_symmetry
from densepose.structures.transform_data import DensePoseTransformData
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/utils/dbhelper.py | projects/DensePose/densepose/utils/dbhelper.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any, Dict, Optional, Tuple
class EntrySelector:
"""
Base class for entry selectors
"""
@staticmethod
def from_string(spec: str) -> "EntrySelector":
if spec == "*":
return AllEntrySelector()
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/utils/transform.py | projects/DensePose/densepose/utils/transform.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from detectron2.data import MetadataCatalog
from detectron2.utils.file_io import PathManager
from densepose import DensePoseTransformData
def load_for_dataset(dataset_name):
path = MetadataCatalog.get(dataset_name).densepose_transform_src
dens... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/utils/logger.py | projects/DensePose/densepose/utils/logger.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
import logging
def verbosity_to_level(verbosity) -> int:
if verbosity is not None:
if verbosity == 0:
return logging.WARNING
elif verbosity == 1:
return logging.INFO
elif verbosity >= 2:
r... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/utils/__init__.py | projects/DensePose/densepose/utils/__init__.py | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false | |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/hrnet.py | projects/DensePose/densepose/modeling/hrnet.py | # Copyright (c) Facebook, Inc. and its affiliates.
# ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (leoxiaobin@gmail.com)
# Modified by Bowen Cheng (bcheng9@illinois.edu)
# Adapted from https://github.com/... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/inference.py | projects/DensePose/densepose/modeling/inference.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from dataclasses import fields
from typing import Any, List
import torch
from detectron2.structures import Instances
def densepose_inference(densepose_predictor_output: Any, detections: List[Instances]) -> None:
"""
Splits DensePose predictor ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/build.py | projects/DensePose/densepose/modeling/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Optional
from torch import nn
from detectron2.config import CfgNode
from .cse.embedder import Embedder
from .filter import DensePoseDataFilter
def build_densepose_predictor(cfg: CfgNode, input_channels: int):
"""
Create an... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/filter.py | projects/DensePose/densepose/modeling/filter.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import List
import torch
from detectron2.config import CfgNode
from detectron2.structures import Instances
from detectron2.structures.boxes import matched_pairwise_iou
class DensePoseDataFilter:
def __init__(self, cfg: CfgNode):
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/densepose_checkpoint.py | projects/DensePose/densepose/modeling/densepose_checkpoint.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from collections import OrderedDict
from detectron2.checkpoint import DetectionCheckpointer
def _rename_HRNet_weights(weights):
# We detect and rename HRNet weights for DensePose. 1956 and 1716 are values that are
# common to all HRNet pretra... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/confidence.py | projects/DensePose/densepose/modeling/confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from dataclasses import dataclass
from enum import Enum
from detectron2.config import CfgNode
class DensePoseUVConfidenceType(Enum):
"""
Statistical model type for confidence learning, possible values:
- "iid_iso": statistically independ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/utils.py | projects/DensePose/densepose/modeling/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from torch import nn
def initialize_module_params(module: nn.Module) -> None:
for name, param in module.named_parameters():
if "bias" in name:
nn.init.constant_(param, 0)
elif "weight" in name:
nn.init.kaimi... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/hrfpn.py | projects/DensePose/densepose/modeling/hrfpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
"""
MIT License
Copyright (c) 2019 Microsoft
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/__init__.py | projects/DensePose/densepose/modeling/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from .confidence import DensePoseConfidenceModelConfig, DensePoseUVConfidenceType
from .filter import DensePoseDataFilter
from .inference import densepose_inference
from .utils import initialize_module_params
from .build import (
build_densepose_dat... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/test_time_augmentation.py | projects/DensePose/densepose/modeling/test_time_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
import copy
import numpy as np
import torch
from fvcore.transforms import HFlipTransform, TransformList
from torch.nn import functional as F
from detectron2.data.transforms import RandomRotation, RotationTransform, apply_transform_gens
from detectron2.m... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/cse_confidence.py | projects/DensePose/densepose/modeling/predictors/cse_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d
from densepose.modeling.confidence import DensePoseConfidenceModelConfig
from densepose.modeli... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/registry.py | projects/DensePose/densepose/modeling/predictors/registry.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from detectron2.utils.registry import Registry
DENSEPOSE_PREDICTOR_REGISTRY = Registry("DENSEPOSE_PREDICTOR")
| python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/cse_with_confidence.py | projects/DensePose/densepose/modeling/predictors/cse_with_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from . import DensePoseEmbeddingConfidencePredictorMixin, DensePoseEmbeddingPredictor
from .registry import DENSEPOSE_PREDICTOR_REGISTRY
@DENSEPOSE_PREDICTOR_REGISTRY.register()
class DensePoseEmbeddingWithConfidencePredictor(
DensePoseEmbeddingCo... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/chart.py | projects/DensePose/densepose/modeling/predictors/chart.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d, interpolate
from ...structures import DensePoseChartPredictorOutput
from ..utils import initialize_module_params
from .registry impo... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/chart_with_confidence.py | projects/DensePose/densepose/modeling/predictors/chart_with_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from . import DensePoseChartConfidencePredictorMixin, DensePoseChartPredictor
from .registry import DENSEPOSE_PREDICTOR_REGISTRY
@DENSEPOSE_PREDICTOR_REGISTRY.register()
class DensePoseChartWithConfidencePredictor(
DensePoseChartConfidencePredicto... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/__init__.py | projects/DensePose/densepose/modeling/predictors/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from .chart import DensePoseChartPredictor
from .chart_confidence import DensePoseChartConfidencePredictorMixin
from .chart_with_confidence import DensePoseChartWithConfidencePredictor
from .cse import DensePoseEmbeddingPredictor
from .cse_confidence im... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/cse.py | projects/DensePose/densepose/modeling/predictors/cse.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# pyre-unsafe
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d, interpolate
from ...structures import DensePoseEmbeddingPredictorOutput
from ..utils import initialize_module_pa... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/projects/DensePose/densepose/modeling/predictors/chart_confidence.py | projects/DensePose/densepose/modeling/predictors/chart_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
# pyre-unsafe
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d
from ...structures import decorate_predictor_output_class_with_confidences
from ..confidence i... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
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