repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
mmdetection | mmdet/configs/deformable_detr/deformable_detr_r50_16xb2_50e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 187 | 6,733 |
mmdetection | mmdet/configs/detr/detr_r18_8xb2_500e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
with read_base():
from .detr_r50_8xb2_500e_coco import *
model.update(
dict(
backbone=dict(
depth=18,
init_cfg=dict(
type=... | 15 | 414 |
mmdetection | mmdet/configs/detr/detr_r50_8xb2_500e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.optim.scheduler.lr_scheduler import MultiStepLR
from mmengine.runner.loops import EpochBasedTrainLoop
with read_base():
from .detr_r50_8xb2_150e_coco import *
# learning policy
max_epochs = 500
train_cfg.update(
... | 26 | 646 |
mmdetection | mmdet/configs/detr/detr_r101_8xb2_500e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
with read_base():
from .detr_r50_8xb2_500e_coco import *
model.update(
dict(
backbone=dict(
depth=101,
init_cfg=dict(
type... | 14 | 378 |
mmdetection | mmdet/configs/detr/detr_r50_8xb2_150e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import RandomChoice, RandomChoiceResize
from mmcv.transforms.loading import LoadImageFromFile
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
from mmengine.optim.optimizer.optimizer_wrapper import OptimWrapp... | 183 | 6,699 |
mmdetection | mmdet/configs/common/ssj_270_coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 159 | 5,515 |
mmdetection | mmdet/configs/common/lsj_200e_coco_detection.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .lsj_100... | 26 | 671 |
mmdetection | mmdet/configs/common/ms_90k_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 152 | 5,185 |
mmdetection | mmdet/configs/common/ms_poly_3x_coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 139 | 4,927 |
mmdetection | mmdet/configs/common/ms_3x_coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 137 | 4,836 |
mmdetection | mmdet/configs/common/ms_poly_90k_coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 154 | 5,279 |
mmdetection | mmdet/configs/common/ssj_scp_270k_coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .ssj_270... | 71 | 2,303 |
mmdetection | mmdet/configs/common/ms_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 131 | 4,437 |
mmdetection | mmdet/configs/common/lsj_100e_coco_detection.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 135 | 4,392 |
mmdetection | mmdet/configs/common/lsj_100e_coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 135 | 4,408 |
mmdetection | mmdet/configs/common/lsj_200e_coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .lsj_100... | 26 | 670 |
mmdetection | mmdet/configs/rtmdet/rtmdet_l_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 221 | 7,213 |
mmdetection | mmdet/configs/rtmdet/rtmdet_ins_s_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 102 | 3,497 |
mmdetection | mmdet/configs/rtmdet/rtmdet_m_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 18 | 592 |
mmdetection | mmdet/configs/rtmdet/rtmdet_s_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 89 | 3,085 |
mmdetection | mmdet/configs/rtmdet/rtmdet_ins_x_8xb16_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 39 | 1,155 |
mmdetection | mmdet/configs/rtmdet/rtmdet_ins_l_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 135 | 4,695 |
mmdetection | mmdet/configs/rtmdet/rtmdet_tiny_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 65 | 2,262 |
mmdetection | mmdet/configs/rtmdet/rtmdet_ins_m_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 18 | 596 |
mmdetection | mmdet/configs/rtmdet/rtmdet_tta.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms.loading import LoadImageFromFile
from mmcv.transforms.processing import TestTimeAug
from mmdet.datasets.transforms.formatting import PackDetInputs
from mmdet.datasets.transforms.loading import LoadAnnotations
from mmdet.datasets.transforms.transforms... | 44 | 1,580 |
mmdetection | mmdet/configs/rtmdet/rtmdet_ins_tiny_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 68 | 2,415 |
mmdetection | mmdet/configs/rtmdet/rtmdet_x_8xb32_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .rtmdet_... | 18 | 593 |
mmdetection | mmdet/configs/dino/dino_4scale_r50_improved_8xb2_12e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
with read_base():
from .dino_4scale_r50_8xb2_12e_coco import *
# from deformable detr hyper
model.update(
dict(
backbone=dict(frozen_stages=-1),
bbox_head=dict(loss_cls=dict(loss_weight=2.0)),
positio... | 25 | 736 |
mmdetection | mmdet/configs/dino/dino_4scale_r50_8xb2_36e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.runner.loops import EpochBasedTrainLoop
with read_base():
from .dino_4scale_r50_8xb2_12e_coco import *
max_epochs = 36
train_cfg.update(
dict(type=EpochBasedTrainLoop, max_epochs=max_epochs, val_interval=1))
p... | 13 | 368 |
mmdetection | mmdet/configs/dino/dino_4scale_r50_8xb2_12e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import RandomChoice, RandomChoiceResize
from mmcv.transforms.loading import LoadImageFromFile
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
from mmengine.optim.optimizer.optimizer_wrapper import OptimWrapp... | 191 | 7,034 |
mmdetection | mmdet/configs/dino/dino_4scale_r50_8xb2_24e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.runner.loops import EpochBasedTrainLoop
with read_base():
from .dino_4scale_r50_8xb2_12e_coco import *
max_epochs = 24
train_cfg.update(
dict(type=EpochBasedTrainLoop, max_epochs=max_epochs, val_interval=1))
p... | 13 | 368 |
mmdetection | mmdet/configs/dino/dino_5scale_swin_l_8xb2_12e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
from mmdet.models import SwinTransformer
with read_base():
from .dino_4scale_r50_8xb2_12e_coco import *
pretrained = 'https://github.com/SwinTransformer/storage/releases/dow... | 41 | 1,459 |
mmdetection | mmdet/configs/dino/dino_5scale_swin_l_8xb2_36e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.runner.loops import EpochBasedTrainLoop
with read_base():
from .dino_5scale_swin_l_8xb2_12e_coco import *
max_epochs = 36
train_cfg.update(
dict(type=EpochBasedTrainLoop, max_epochs=max_epochs, val_interval=1))... | 13 | 375 |
mmdetection | tools/test_tracking.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
from mmengine.config import Config, DictAction
from mmengine.model import is_model_wrapper
from mmengine.registry import RUNNERS
from mmengine.runner import Runner
from mmengine.runner.checkpoint import load_checkpoint
fro... | 102 | 3,575 |
mmdetection | tools/train.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
from mmengine.config import Config, DictAction
from mmengine.registry import RUNNERS
from mmengine.runner import Runner
from mmdet.utils import setup_cache_size_limit_of_dynamo
def parse_args():
parser = argparse.Arg... | 122 | 4,243 |
mmdetection | tools/test.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import warnings
from copy import deepcopy
from mmengine import ConfigDict
from mmengine.config import Config, DictAction
from mmengine.runner import Runner
from mmdet.engine.hooks.utils import trigger_visualization_hook
fr... | 150 | 5,594 |
mmdetection | tools/dataset_converters/grit2odvg.py | .py | import argparse
import json
import multiprocessing
import os
import os.path as osp
import emoji
import jsonlines
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
is_debug = False
def is_valid_caption(caption, rules={'↙️', '[CLS]', '[SEP]'}):
check_anno = capt... | 190 | 6,158 |
mmdetection | tools/dataset_converters/mot2coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# This script converts MOT labels into COCO style.
# Official website of the MOT dataset: https://motchallenge.net/
#
# Label format of MOT dataset:
# GTs:
# <frame_id> # starts from 1 but COCO style starts from 0,
# <instance_id>, <x1>, <y1>, <w>, <h>,
# ... | 221 | 7,957 |
mmdetection | tools/dataset_converters/prepare_coco_semantic_annos_from_panoptic_annos.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Modified from https://github.com/facebookresearch/Mask2Former/blob/main/datasets/prepare_coco_semantic_annos_from_panoptic_annos.py # noqa
import argparse
import functools
import json
import multiprocessing as mp
import os
import time
import numpy as np
from panoptica... | 900 | 18,519 |
mmdetection | tools/dataset_converters/coco_stuff164k.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
from functools import partial
from glob import glob
import numpy as np
from mmengine.utils import (mkdir_or_exist, track_parallel_progress,
track_progress)
from PIL import Image
COCO_LEN = 123287
clsID_t... | 255 | 4,760 |
mmdetection | tools/dataset_converters/pascal_voc.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import xml.etree.ElementTree as ET
import numpy as np
from mmengine.fileio import dump, list_from_file
from mmengine.utils import mkdir_or_exist, track_progress
from mmdet.evaluation import voc_classes
label_ids = {name: i for i, n... | 239 | 7,917 |
mmdetection | tools/dataset_converters/extract_coco_from_mixed.py | .py | import argparse
import os.path as osp
import mmengine
from pycocotools.coco import COCO
def extract_coco(args):
coco = COCO(args.mixed_ann)
json_data = mmengine.load(args.mixed_ann)
new_json_data = {
'info': json_data['info'],
'licenses': json_data['licenses'],
'categories': json... | 46 | 1,344 |
mmdetection | tools/dataset_converters/lvis2odvg.py | .py | import argparse
import json
import os.path
import jsonlines
from lvis import LVIS
from tqdm import tqdm
key_list_lvis = [i for i in range(1203)]
val_list_lvis = [i for i in range(1, 1204)]
def dump_lvis_label_map(args):
with open(args.input, 'r') as f:
j = json.load(f)
o_dict = {}
for category i... | 99 | 3,148 |
mmdetection | tools/dataset_converters/lvis2ovd.py | .py | import argparse
import json
import os.path
import jsonlines
def lvis2ovd(args):
ann_path = os.path.join(args.data_root, 'annotations/')
lvis = json.load(open(ann_path + 'lvis_v1_val.json'))
base_class_ids = [
cat['id'] - 1 for cat in lvis['categories'] if cat['frequency'] != 'r'
]
with ... | 42 | 1,244 |
mmdetection | tools/dataset_converters/cityscapes.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os.path as osp
import cityscapesscripts.helpers.labels as CSLabels
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
from mmengine.fileio import dump
from mmengine.utils import (Timer, mkdir_or_exist, track_parallel_pr... | 154 | 5,270 |
mmdetection | tools/dataset_converters/ade20k2coco.py | .py | import argparse
import json
import os
from pathlib import Path
import numpy as np
import pycocotools.mask as mask_util
from mmengine.utils import ProgressBar, mkdir_or_exist
from panopticapi.utils import IdGenerator, save_json
from PIL import Image
from mmdet.datasets.ade20k import ADE20KPanopticDataset
ORIGINAL_CAT... | 368 | 14,127 |
mmdetection | tools/dataset_converters/remove_cocotrain2017_from_refcoco.py | .py | import argparse
import json
import os.path as osp
import mmengine
from pycocotools.coco import COCO
def diff_image_id(coco2017_train_ids, ref_ids):
set1 = set(coco2017_train_ids)
set2 = set(ref_ids)
intersection = set1.intersection(set2)
result = set1 - intersection
return result
def gen_new_js... | 111 | 3,775 |
mmdetection | tools/dataset_converters/coco2ovd.py | .py | import argparse
import json
import os.path
base_classes = ('person', 'bicycle', 'car', 'motorcycle', 'train', 'truck',
'boat', 'bench', 'bird', 'horse', 'sheep', 'bear', 'zebra',
'giraffe', 'backpack', 'handbag', 'suitcase', 'frisbee',
'skis', 'kite', 'surfboard', 'bottl... | 71 | 2,915 |
mmdetection | tools/dataset_converters/images2coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
from mmengine.fileio import dump, list_from_file
from mmengine.utils import mkdir_or_exist, scandir, track_iter_progress
from PIL import Image
def parse_args():
parser = argparse.ArgumentParser(
description='Convert images to coco ... | 103 | 3,193 |
mmdetection | tools/dataset_converters/crowdhuman2coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os
import os.path as osp
from collections import defaultdict
import mmengine
from PIL import Image
from tqdm import tqdm
def parse_args():
parser = argparse.ArgumentParser(
description='CrowdHuman to COCO Video format')
... | 101 | 3,134 |
mmdetection | tools/dataset_converters/coco2odvg.py | .py | import argparse
import json
import os.path
import jsonlines
from pycocotools.coco import COCO
from tqdm import tqdm
id_map = {
0: 1,
1: 2,
2: 3,
3: 4,
4: 5,
5: 6,
6: 7,
7: 8,
8: 9,
9: 10,
10: 11,
11: 13,
12: 14,
13: 15,
14: 16,
15: 17,
16: 18,
17... | 346 | 8,661 |
mmdetection | tools/dataset_converters/grit_processing.py | .py | import argparse
import json
import logging
import os
import tarfile
from functools import partial
from multiprocessing import Pool
def create_logger(output_file):
logger = logging.getLogger('grit_logger')
logger.setLevel(logging.INFO) # set logger output level
formatter = logging.Formatter('%(asctime)s -... | 122 | 4,056 |
mmdetection | tools/dataset_converters/openimages2odvg.py | .py | import argparse
import copy
import csv
import json
import os.path as osp
import jsonlines
from mmcv.image import imfrombytes
from mmengine.fileio import get
def _parse_label_file(label_file):
index_list = []
classes_names = []
with open(label_file, 'r') as f:
reader = csv.reader(f)
for li... | 188 | 5,913 |
mmdetection | tools/dataset_converters/goldg2odvg.py | .py | import argparse
import jsonlines
from pycocotools.coco import COCO
from tqdm import tqdm
def _has_only_empty_bbox(anno):
return all(any(o <= 1 for o in obj['bbox'][2:]) for obj in anno)
def has_valid_annotation(anno):
# if it's empty, there is no annotation
if len(anno) == 0:
return False
#... | 137 | 4,262 |
mmdetection | tools/dataset_converters/mot2reid.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# This script converts MOT dataset into ReID dataset.
# Official website of the MOT dataset: https://motchallenge.net/
#
# Label format of MOT dataset:
# GTs:
# <frame_id> # starts from 1,
# <instance_id>, <x1>, <y1>, <w>, <h>,
# <conf> # conf is annot... | 192 | 7,112 |
mmdetection | tools/dataset_converters/fix_o365_names.py | .py | # Reference: https://github.com/shenyunhang/APE/blob/main/datasets/tools/objects3652coco/fix_o365_names.py # noqa
import argparse
import copy
import json
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'--ann',
default='data/objects365v2/annotations/zhiyuan_ob... | 36 | 1,171 |
mmdetection | tools/dataset_converters/youtubevis2coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import copy
import os
import os.path as osp
from collections import defaultdict
import mmengine
from tqdm import tqdm
def parse_args():
parser = argparse.ArgumentParser(
description='YouTube-VIS to COCO Video format')
parser.add_argument... | 158 | 5,592 |
mmdetection | tools/dataset_converters/refcoco2odvg.py | .py | import argparse
import os.path as osp
import jsonlines
from pycocotools.coco import COCO
from tqdm import tqdm
def parse_args():
parser = argparse.ArgumentParser(description='refcoco to odvg')
parser.add_argument('mdetr_anno_dir', type=str)
parser.add_argument('--out-dir', '-o', type=str)
args = pars... | 148 | 4,545 |
mmdetection | tools/analysis_tools/browse_dataset.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
from mmengine.config import Config, DictAction
from mmengine.registry import init_default_scope
from mmengine.utils import ProgressBar
from mmdet.models.utils import mask2ndarray
from mmdet.registry import DATASETS, VISUALIZERS
from... | 90 | 3,061 |
mmdetection | tools/analysis_tools/confusion_matrix.py | .py | import argparse
import os
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import MultipleLocator
from mmcv.ops import nms
from mmengine import Config, DictAction
from mmengine.fileio import load
from mmengine.registry import init_default_scope
from mmengine.utils import ProgressBar
from mmde... | 274 | 9,900 |
mmdetection | tools/analysis_tools/benchmark.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
from mmengine import MMLogger
from mmengine.config import Config, DictAction
from mmengine.dist import init_dist
from mmengine.registry import init_default_scope
from mmengine.utils import mkdir_or_exist
from mmdet.utils.benchmark import (DataL... | 134 | 4,242 |
mmdetection | tools/analysis_tools/get_flops.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import tempfile
from functools import partial
from pathlib import Path
import numpy as np
import torch
from mmengine.config import Config, DictAction
from mmengine.logging import MMLogger
from mmengine.model import revert_sync_batchnorm
from mmengine.regi... | 141 | 5,094 |
mmdetection | tools/analysis_tools/coco_occluded_separated_recall.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser
import mmengine
from mmengine.logging import print_log
from mmdet.datasets import CocoDataset
from mmdet.evaluation import CocoOccludedSeparatedMetric
def main():
parser = ArgumentParser(
description='Compute recall of C... | 49 | 1,748 |
mmdetection | tools/analysis_tools/coco_error_analysis.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os
from argparse import ArgumentParser
from multiprocessing import Pool
import matplotlib.pyplot as plt
import numpy as np
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
def makeplot(rs, ps, outDir, class_name, iou_type):... | 373 | 13,027 |
mmdetection | tools/analysis_tools/browse_grounding_dataset.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import numpy as np
from mmcv.image import imwrite
from mmengine.config import Config, DictAction
from mmengine.registry import init_default_scope
from mmengine.utils import ProgressBar
from mmdet.registry import DATASETS, VISUALIZER... | 201 | 7,158 |
mmdetection | tools/analysis_tools/eval_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import mmengine
from mmengine import Config, DictAction
from mmengine.evaluator import Evaluator
from mmengine.registry import init_default_scope
from mmdet.registry import DATASETS
def parse_args():
parser = argparse.ArgumentParser(description='Ev... | 51 | 1,645 |
mmdetection | tools/analysis_tools/analyze_logs.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
from collections import defaultdict
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
def cal_train_time(log_dicts, args):
for i, log_dict in enumerate(log_dicts):
print(f'{"-" * 5}Analyze train time of {ar... | 212 | 7,576 |
mmdetection | tools/analysis_tools/fuse_results.py | .py | import argparse
from mmengine.fileio import dump, load
from mmengine.logging import print_log
from mmengine.utils import ProgressBar
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from mmdet.models.utils import weighted_boxes_fusion
def parse_args():
parser = argparse.ArgumentParser... | 143 | 4,418 |
mmdetection | tools/analysis_tools/test_robustness.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import copy
import os
import os.path as osp
from mmengine.config import Config, DictAction
from mmengine.dist import get_dist_info
from mmengine.evaluator import DumpResults
from mmengine.fileio import dump
from mmengine.runner import Runner
from mmdet.e... | 240 | 9,120 |
mmdetection | tools/analysis_tools/robustness_eval.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from argparse import ArgumentParser
import numpy as np
from mmengine.fileio import load
def print_coco_results(results):
def _print(result, ap=1, iouThr=None, areaRng='all', maxDets=100):
titleStr = 'Average Precision' if ap == 1 else... | 264 | 8,376 |
mmdetection | tools/analysis_tools/analyze_results.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
from multiprocessing import Pool
import mmcv
import numpy as np
from mmengine.config import Config, DictAction
from mmengine.fileio import load
from mmengine.registry import init_default_scope
from mmengine.runner import Runner
from ... | 408 | 14,916 |
mmdetection | tools/analysis_tools/optimize_anchors.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
"""Optimize anchor settings on a specific dataset.
This script provides two method to optimize YOLO anchors including k-means
anchor cluster and differential evolution. You can use ``--algorithm k-means``
and ``--algorithm differential_evolution`` to switch two method.
... | 383 | 13,631 |
mmdetection | tools/analysis_tools/browse_grounding_raw.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
import cv2
import numpy as np
from mmcv.image import imfrombytes, imwrite
from mmengine.fileio import get
from mmengine.structures import InstanceData
from mmengine.utils import mkdir_or_exist
from mmdet.structures impor... | 285 | 10,233 |
mmdetection | tools/analysis_tools/mot/browse_dataset.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import mmengine
from mmengine import Config, DictAction
from mmengine.registry import init_default_scope
from mmdet.registry import DATASETS, VISUALIZERS
def parse_args():
parser = argparse.ArgumentParser(description='Browse a... | 86 | 3,037 |
mmdetection | tools/analysis_tools/mot/mot_param_search.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
from itertools import product
from mmengine.config import Config, DictAction
from mmengine.dist import get_dist_info
from mmengine.logging import MMLogger, print_log
from mmengine.model import is_model_wrapper
from mmengine... | 156 | 5,884 |
mmdetection | tools/analysis_tools/mot/mot_error_visualize.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import re
import mmcv
import motmetrics as mm
import numpy as np
import pandas as pd
from mmengine import Config
from mmengine.logging import print_log
from mmengine.registry import init_default_scope
from torch.utils.data ... | 212 | 8,193 |
mmdetection | tools/model_converters/upgrade_model_version.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import re
import tempfile
from collections import OrderedDict
import torch
from mmengine import Config
def is_head(key):
valid_head_list = [
'bbox_head', 'mask_head', 'semantic_head', 'grid_head', 'mask_iou_head'
]
return any(key.st... | 211 | 6,852 |
mmdetection | tools/model_converters/detic_to_mmdet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
from collections import OrderedDict
import torch
from mmengine.runner import CheckpointLoader
convert_dict_fpn = {
'backbone.fpn_lateral3': 'neck.lateral_convs.0.conv',
'backbone.fpn_lateral4': 'neck.lateral_convs.1.conv',
'... | 196 | 7,829 |
mmdetection | tools/model_converters/glip_to_mmdet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
from collections import OrderedDict
import torch
from mmengine.runner import CheckpointLoader
convert_dict_fpn = {
'module.backbone.fpn.fpn_inner2': 'neck.lateral_convs.0.conv',
'module.backbone.fpn.fpn_inner3': 'neck.lateral_co... | 126 | 4,373 |
mmdetection | tools/model_converters/regnet2mmdet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import torch
def convert_stem(model_key, model_weight, state_dict, converted_names):
new_key = model_key.replace('stem.conv', 'conv1')
new_key = new_key.replace('stem.bn', 'bn1')
state_dict[new_key] = mode... | 91 | 3,063 |
mmdetection | tools/model_converters/publish_model.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
import torch
from mmengine.logging import print_log
from mmengine.utils import digit_version
def parse_args():
parser = argparse.ArgumentParser(
description='Process a checkpoint to be published')
parser.add_argument('i... | 63 | 2,037 |
mmdetection | tools/model_converters/selfsup2mmdet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import torch
def moco_convert(src, dst):
"""Convert keys in pycls pretrained moco models to mmdet style."""
# load caffe model
moco_model = torch.load(src)
blobs = moco_model['state_dict']
# conver... | 43 | 1,243 |
mmdetection | tools/model_converters/upgrade_ssd_version.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import tempfile
from collections import OrderedDict
import torch
from mmengine import Config
from mmengine.utils import digit_version
def parse_config(config_strings):
temp_file = tempfile.NamedTemporaryFile()
config_path = f'{temp_file.name}.py... | 60 | 1,864 |
mmdetection | tools/model_converters/swinv1_to_mmdet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
from collections import OrderedDict
import torch
from mmengine.runner import CheckpointLoader
def swin_converter(ckpt):
new_ckpt = OrderedDict()
def correct_unfold_reduction_order(x):
out_channel, in_channel = x.shape... | 87 | 2,727 |
mmdetection | tools/model_converters/detectron2_to_mmdet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import torch
from mmengine.fileio import load
from mmengine.runner import save_checkpoint
def convert(src: str, dst: str, prefix: str = 'd2_model') -> None:
"""Convert Detectron2 checkpoint to MMDetection style.
... | 49 | 1,653 |
mmdetection | tools/model_converters/groundingdino_to_mmdet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
from collections import OrderedDict
import torch
from mmengine.runner import CheckpointLoader
def correct_unfold_reduction_order(x):
out_channel, in_channel = x.shape
x = x.reshape(out_channel, 4, in_channel // 4)
x = x[:, ... | 214 | 8,769 |
mmdetection | tools/model_converters/detectron2pytorch.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import torch
from mmengine.fileio import load
arch_settings = {50: (3, 4, 6, 3), 101: (3, 4, 23, 3)}
def convert_bn(blobs, state_dict, caffe_name, torch_name, converted_names):
# detectron replace bn with affine ... | 84 | 3,594 |
mmdetection | tools/misc/split_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import numpy as np
from mmengine.fileio import dump, load
from mmengine.utils import mkdir_or_exist, track_parallel_progress
prog_description = '''K-Fold coco split.
To split coco data for semi-supervised object detection:
pyth... | 111 | 3,560 |
mmdetection | tools/misc/gen_coco_panoptic_test_info.py | .py | import argparse
import os.path as osp
from mmengine.fileio import dump, load
def parse_args():
parser = argparse.ArgumentParser(
description='Generate COCO test image information '
'for COCO panoptic segmentation.')
parser.add_argument('data_root', help='Path to COCO annotation directory.')
... | 34 | 968 |
mmdetection | tools/misc/download_dataset.py | .py | import argparse
import tarfile
from itertools import repeat
from multiprocessing.pool import ThreadPool
from pathlib import Path
from tarfile import TarFile
from zipfile import ZipFile
import torch
from mmengine.utils.path import mkdir_or_exist
def parse_args():
parser = argparse.ArgumentParser(
descript... | 230 | 9,096 |
mmdetection | tools/misc/print_config.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
from mmengine import Config, DictAction
from mmdet.utils import replace_cfg_vals, update_data_root
def parse_args():
parser = argparse.ArgumentParser(description='Print the whole config')
parser.add_argument('config', help='config fil... | 61 | 1,797 |
mmdetection | tools/misc/split_odvg.py | .py | import argparse
import json
import os
import shutil
import jsonlines
import numpy as np
from mmengine.utils import ProgressBar, mkdir_or_exist
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('data_root', type=str, help='The data root.')
parser.add_argument('ann_file', type=str)
... | 81 | 2,422 |
mmdetection | tools/misc/get_crowdhuman_id_hw.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
"""Get image shape on CrowdHuman dataset.
Here is an example to run this script.
Example:
python tools/misc/get_crowdhuman_id_hw.py ${CONFIG} \
--dataset ${DATASET_TYPE}
"""
import argparse
import json
import logging
import os.path as osp
from multiprocessing im... | 88 | 2,492 |
mmdetection | tools/misc/get_image_metas.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
"""Get image metas on a specific dataset.
Here is an example to run this script.
Example:
python tools/misc/get_image_metas.py ${CONFIG} \
--out ${OUTPUT FILE NAME}
"""
import argparse
import csv
import os.path as osp
from multiprocessing import Pool
import mmc... | 126 | 3,935 |
mmdetection | tools/deployment/test_torchserver.py | .py | import os
from argparse import ArgumentParser
import mmcv
import requests
import torch
from mmengine.structures import InstanceData
from mmdet.apis import inference_detector, init_detector
from mmdet.registry import VISUALIZERS
from mmdet.structures import DetDataSample
def parse_args():
parser = ArgumentParser... | 114 | 3,906 |
mmdetection | tools/deployment/mmdet2torchserve.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser, Namespace
from pathlib import Path
from tempfile import TemporaryDirectory
from mmengine.config import Config
from mmengine.utils import mkdir_or_exist
try:
from model_archiver.model_packaging import package_model
from model_... | 113 | 3,802 |
mmdetection | tools/deployment/mmdet_handler.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import base64
import os
import mmcv
import numpy as np
import torch
from ts.torch_handler.base_handler import BaseHandler
from mmdet.apis import inference_detector, init_detector
class MMdetHandler(BaseHandler):
threshold = 0.5
def initialize(self, context):
... | 73 | 2,620 |
mmdetection | docs/en/stat.py | .py | #!/usr/bin/env python
import functools as func
import glob
import os.path as osp
import re
import numpy as np
url_prefix = 'https://github.com/open-mmlab/mmdetection/blob/main/configs'
files = sorted(glob.glob('../../configs/*/README.md'))
stats = []
titles = []
num_ckpts = 0
for f in files:
url = osp.dirname(... | 65 | 1,537 |
mmdetection | docs/en/conf.py | .py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/main/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If exte... | 117 | 3,435 |
mmdetection | docs/zh_cn/stat.py | .py | #!/usr/bin/env python
import functools as func
import glob
import os.path as osp
import re
import numpy as np
url_prefix = 'https://github.com/open-mmlab/mmdetection/blob/main/'
files = sorted(glob.glob('../configs/*/README.md'))
stats = []
titles = []
num_ckpts = 0
for f in files:
url = osp.dirname(f.replace(... | 65 | 1,517 |
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