repo stringlengths 3 91 | file stringlengths 16 152 | code stringlengths 0 3.77M | file_length int64 0 3.77M | avg_line_length float64 0 16k | max_line_length int64 0 273k | extension_type stringclasses 1
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DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/dense_block.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
class _DenseLayer(nn.Module):
def __init__(self, num_input_features, growth_rate, bn_size, drop_rate, dilation):
super(_DenseLayer, self).__init__()
self.add_module('norm1', nn.BatchNorm2d(num_input_feature... | 4,940 | 40.175 | 95 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/SELD_metrics.py | # Implements the localization and detection metrics proposed in [1] with extensions to support multi-instance of the same class from [2].
#
# [1] Joint Measurement of Localization and Detection of Sound Events
# Annamaria Mesaros, Sharath Adavanne, Archontis Politis, Toni Heittola, Tuomas Virtanen
# WASPAA 2019
#
# [2]... | 13,628 | 48.923077 | 215 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/__init__.py | 0 | 0 | 0 | py | |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/data_utilities.py | import numpy as np
import pandas as pd
import torch
def _segment_index(x, chunklen, hoplen, last_frame_always_paddding=False):
"""Segment input x with chunklen, hoplen parameters. Return
Args:
x: input, time domain or feature domain (channels, time)
chunklen:
hoplen:
last_fram... | 15,990 | 46.734328 | 157 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/embedding.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 1,861 | 41.318182 | 98 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/activation.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 1,588 | 35.113636 | 119 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/modules.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 2,540 | 32.434211 | 97 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/model.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 9,594 | 41.268722 | 119 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/encoder.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 10,007 | 40.7 | 118 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/convolution.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 7,029 | 36.195767 | 115 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/feed_forward.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 2,117 | 34.3 | 119 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/decoder.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 5,064 | 37.664122 | 119 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/__init__.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 667 | 40.75 | 74 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/utils/conformer/attention.py | # Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 6,428 | 40.746753 | 117 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/inference.py | from pathlib import Path
import h5py
import numpy as np
import torch
from tqdm import tqdm
from methods.inference import BaseInferer
from methods.utils.data_utilities import *
class Inferer(BaseInferer):
def __init__(self, cfg, dataset, af_extractor, model, cuda, test_set=None):
super().__init__()
... | 5,046 | 40.710744 | 137 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/losses.py | import numpy as np
import torch
import sys
from methods.utils.loss_utilities import BCEWithLogitsLoss, MSELoss
from torch import linalg as LA
from itertools import permutations
class Losses:
def __init__(self, cfg):
self.cfg = cfg
self.beta = cfg['training']['loss_beta']
self.losses = [BCEW... | 3,138 | 41.418919 | 114 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/training.py | from pathlib import Path
import random
import sys
from timeit import default_timer as timer
import h5py
import numpy as np
import torch
from methods.training import BaseTrainer
from utils.ddp_init import reduce_value, gather_value, get_rank, get_world_size
from methods.utils.data_utilities import track_to_dcase_format... | 8,056 | 41.856383 | 141 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/data.py | from pathlib import Path
import pandas as pd
from timeit import default_timer as timer
import h5py
import numpy as np
import torch
from methods.utils.data_utilities import load_output_format_file, to_metrics_format
from torch.utils.data import Dataset, Sampler
from utils.common import int16_samples_to_float32
from ut... | 12,771 | 44.29078 | 130 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/__init__.py | from .. import metrics
from . import data, losses, models, training, inference | 78 | 38.5 | 55 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/models/__init__.py | from .ConvConformer import *
from .DenseConformer import *
from .ConvTransformer import *
| 91 | 17.4 | 30 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/models/ConvConformer.py | import torch
import torch.nn as nn
from methods.utils.model_utilities import (DoubleConv, init_layer)
from methods.utils.conformer.encoder import ConformerBlocks
class ConvConformer(nn.Module):
def __init__(self, cfg, dataset):
super().__init__()
self.cfg = cfg
self.num_classes = dataset.n... | 7,746 | 44.840237 | 85 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/models/ConvTransformer.py | import torch
import torch.nn as nn
from methods.utils.model_utilities import (DoubleConv, PositionalEncoding,
init_layer)
class ConvTransformer(nn.Module):
def __init__(self, cfg, dataset):
super().__init__()
self.pe_enable = False # Ture | False
... | 8,566 | 46.594444 | 110 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/methods/ein_seld/models/DenseConformer.py | import torch
import torch.nn as nn
from methods.utils.model_utilities import init_layer
from methods.utils.conformer.encoder import ConformerBlocks
from methods.utils.dense_block import _DenseBlock, _Transition
class DenseConformer(nn.Module):
def __init__(self, cfg, dataset):
super().__init__()
se... | 9,821 | 50.968254 | 128 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/learning/checkpoint.py | import logging
import random
import numpy as np
import pandas as pd
import torch
from utils.ddp_init import get_rank, get_world_size
class CheckpointIO:
"""CheckpointIO class.
It handles saving and loading checkpoints.
"""
def __init__(self, checkpoints_dir, model, optimizer, batch_sampler, metric... | 7,008 | 40.97006 | 124 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/learning/initialize.py | import logging
import random
import shutil
import socket
from datetime import datetime
from pathlib import Path
import numpy as np
import torch
import torch.distributed as dist
import torch.optim as optim
from torch.backends import cudnn
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.utils.ten... | 7,430 | 37.304124 | 140 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/learning/__init__.py | 0 | 0 | 0 | py | |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/learning/infer.py | import torch
from utils.config import get_afextractor, get_inferer, get_models
def infer(cfg, dataset, **infer_initializer):
""" Infer, only save the testset predictions
"""
submissions_dir = infer_initializer['submissions_dir']
predictions_dir = infer_initializer['predictions_dir']
ckpts_paths_... | 1,270 | 38.71875 | 80 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/learning/train.py | import logging
from timeit import default_timer as timer
from tqdm import tqdm
from utils.common import print_metrics
from utils.ddp_init import reduce_value, get_rank, get_world_size, rank_barrier
def train(cfg, **initializer):
"""Train
"""
writer = initializer['writer']
train_generator = initializer... | 4,676 | 45.306931 | 145 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/learning/preprocess.py | import shutil
import sys
from functools import reduce
from pathlib import Path
from timeit import default_timer as timer
import h5py
import librosa
import numpy as np
import pandas as pd
import torch
from sklearn import preprocessing
from torch.utils.data import DataLoader
from tqdm import tqdm
from methods.data impo... | 28,736 | 55.90495 | 158 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/utils/ddp_init.py | import torch
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
import torch.multiprocessing as mp
import os
def get_world_size():
if dist.is_initialized():
return dist.get_world_size()
else:
return 1
def get_rank():
if dist.is_initialized():
... | 1,671 | 27.827586 | 73 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/utils/config.py | from utils.datasets import dacase2022_dask3
from methods import ein_seld
from torch.utils.data import DataLoader
import torch.distributed as dist
from ruamel.yaml import YAML
import logging
from utils.common import convert_ordinal, count_parameters, move_model_to_gpu
import methods.feature as feature
import torch.optim... | 6,513 | 33.104712 | 106 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/utils/datasets.py | from pathlib import Path
class dacase2022_dask3:
''' DCASE 2022 Task 3 dataset
'''
def __init__(self, root_dir, cfg, args):
self.label_dic = {'Female speech, woman speaking': 0,
'Male speech, man speaking': 1,
'Clapping': 2,
... | 3,132 | 49.532258 | 128 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/utils/common.py | import numpy as np
import torch
import logging
from datetime import datetime
from tqdm import tqdm
import math
import torch.distributed as dist
import shutil
from pathlib import Path
from .ddp_init import get_rank, get_world_size
def float_samples_to_int16(y):
"""Convert floating-point numpy array of audio samples ... | 4,202 | 29.904412 | 90 | py |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/utils/__init__.py | 0 | 0 | 0 | py | |
DCASE2022-TASK3 | DCASE2022-TASK3-main/code/utils/cli_parser.py | import argparse
import sys
from pathlib import Path
from ruamel.yaml import YAML
from termcolor import cprint
def parse_cli_overides():
"""Parse the command-line arguments.
Parse args from CLI and override config dictionary entries
This function implements the command-line interface of the program.
... | 3,260 | 42.48 | 130 | py |
OpenPSG | OpenPSG-main/setup.py | #!/usr/bin/env python
# Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
import platform
import shutil
import sys
import warnings
from setuptools import find_packages, setup
import torch
from torch.utils.cpp_extension import (BuildExtension, CppExtension,
... | 7,887 | 35.518519 | 125 | py |
OpenPSG | OpenPSG-main/predict.py | import os
import tempfile
import shutil
from typing import List
from cog import BasePredictor, Path, Input, BaseModel
from openpsg.utils.utils import show_result
from mmdet.apis import init_detector, inference_detector
from mmcv import Config
import mmcv
class ModelOutput(BaseModel):
image: Path
class Predicto... | 1,670 | 28.315789 | 89 | py |
OpenPSG | OpenPSG-main/ce7454/main.py | import argparse
import os
import time
import torch
from dataset import PSGClsDataset
from evaluator import Evaluator
from torch.utils.data import DataLoader
from torchvision.models import resnet50
from trainer import BaseTrainer
parser = argparse.ArgumentParser()
parser.add_argument('--model_name', type=str, default=... | 3,628 | 33.561905 | 116 | py |
OpenPSG | OpenPSG-main/ce7454/grade.py | import argparse
import os
import numpy as np
def compute_recall(gt_list, pred_list):
score_list = np.zeros([56, 2], dtype=int)
for gt, pred in zip(gt_list, pred_list):
for gt_id in gt:
# pos 0 for counting all existing relations
score_list[gt_id][0] += 1
if gt_id i... | 1,891 | 30.016393 | 78 | py |
OpenPSG | OpenPSG-main/ce7454/dataset.py | import io
import json
import logging
import os
import torch
import torchvision.transforms as trn
from PIL import Image, ImageFile
from torch.utils.data import Dataset
# to fix "OSError: image file is truncated"
ImageFile.LOAD_TRUNCATED_IMAGES = True
class Convert:
def __init__(self, mode='RGB'):
self.mo... | 2,352 | 26.682353 | 65 | py |
OpenPSG | OpenPSG-main/ce7454/evaluator.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
class Evaluator:
def __init__(
self,
net: nn.Module,
k: int,
):
self.net = net
self.k = k
def eval_recall(
self,
data_loade... | 2,442 | 30.727273 | 76 | py |
OpenPSG | OpenPSG-main/ce7454/trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
def cosine_annealing(step, total_steps, lr_max, lr_min):
return lr_min + (lr_max -
lr_min) * 0.5 * (1 + np.cos(step / total_steps * np.pi))
cla... | 2,273 | 30.150685 | 77 | py |
OpenPSG | OpenPSG-main/tools/vis_results.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import mmcv
from mmcv import Config, DictAction
from mmdet.datasets import build_dataset, replace_ImageToTensor
from openpsg.utils.utils import show_result
def parse_args():
parser = argparse.ArgumentParser(
descripti... | 3,698 | 35.99 | 78 | py |
OpenPSG | OpenPSG-main/tools/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import time
import warnings
import mmcv
import torch
from grade import save_results
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
f... | 9,830 | 39.126531 | 112 | py |
OpenPSG | OpenPSG-main/tools/grade.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os
import random
import numpy as np
import PIL
from mmcv import Config
from mmdet.datasets.coco_panoptic import INSTANCE_OFFSET
from panopticapi.utils import rgb2id
from PIL import Image
from tqdm import tqdm
from openpsg.datasets impo... | 4,814 | 31.979452 | 77 | py |
OpenPSG | OpenPSG-main/tools/train.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import copy
import os
import os.path as osp
import time
import warnings
import mmcv
import torch
from mmcv import Config, DictAction
from mmcv.runner import get_dist_info, init_dist
from mmcv.utils import get_git_hash
from mmdet import __version__
from mm... | 8,188 | 35.234513 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/version.py | # Copyright (c) OpenMMLab. All rights reserved.
__version__ = '0.5.0'
short_version = __version__
def parse_version_info(version_str):
version_info = []
for x in version_str.split('.'):
if x.isdigit():
version_info.append(int(x))
elif x.find('rc') != -1:
patch_version ... | 527 | 26.789474 | 56 | py |
OpenPSG | OpenPSG-main/openpsg/__init__.py | 0 | 0 | 0 | py | |
OpenPSG | OpenPSG-main/openpsg/evaluation/sgg_eval.py | # ---------------------------------------------------------------
# vg_eval.py
# Set-up time: 2020/5/18 上午9:48
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ------... | 11,583 | 33.47619 | 83 | py |
OpenPSG | OpenPSG-main/openpsg/evaluation/sgg_metrics.py | # ---------------------------------------------------------------
# sgg_eval.py
# Set-up time: 2020/5/18 上午9:49
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# -----... | 43,520 | 39.826454 | 128 | py |
OpenPSG | OpenPSG-main/openpsg/evaluation/__init__.py | from .sgg_eval import sgg_evaluation
| 37 | 18 | 36 | py |
OpenPSG | OpenPSG-main/openpsg/evaluation/sgg_eval_util.py | # ---------------------------------------------------------------
# sgg_eval_util.py
# Set-up time: 2020/5/18 下午9:37
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ... | 1,383 | 35.421053 | 92 | py |
OpenPSG | OpenPSG-main/openpsg/models/registry.py | from mmdet.utils import Registry
FRAMEWORK = Registry('framework')
| 68 | 16.25 | 33 | py |
OpenPSG | OpenPSG-main/openpsg/models/__init__.py | from .frameworks import * # noqa: F401,F403
from .losses import * # noqa: F401,F403
from .relation_heads import * # noqa: F401,F403
from .roi_extractors import * # noqa: F401,F403
from .roi_heads import * # noqa: F401,F403
| 228 | 37.166667 | 48 | py |
OpenPSG | OpenPSG-main/openpsg/models/roi_extractors/visual_spatial.py | # ---------------------------------------------------------------
# visual_spatial.py
# Set-up time: 2020/4/28 下午8:46
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
#... | 23,631 | 41.275492 | 84 | py |
OpenPSG | OpenPSG-main/openpsg/models/roi_extractors/__init__.py | from .visual_spatial import VisualSpatialExtractor
| 51 | 25 | 50 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/motif_head.py | # ---------------------------------------------------------------
# motif_head.py
# Set-up time: 2020/4/27 下午8:08
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ---... | 6,943 | 38.908046 | 87 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/gps_head.py | # ---------------------------------------------------------------
# gps_head.py
# Set-up time: 2021/3/31 17:13
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ------... | 6,890 | 41.801242 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/imp_head.py | # ---------------------------------------------------------------
# imp_head.py
# Set-up time: 2020/5/21 下午11:22
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ----... | 3,996 | 40.635417 | 87 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/__init__.py | from .gps_head import GPSHead
from .imp_head import IMPHead
from .motif_head import MotifHead
from .vctree_head import VCTreeHead
| 130 | 25.2 | 35 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/psgformer_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import defaultdict
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from mmcv.cnn import Conv2d, Linear, build_activation_layer
from mmcv.cnn.bricks.transformer import build_positional_encoding
from mmcv.runner import... | 59,405 | 44.979876 | 119 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/relation_head.py | import copy
import itertools
import mmcv
import numpy as np
import torch
import torch.nn.functional as F
from mmcv.runner import BaseModule
from mmdet.core import bbox2roi
from mmdet.models import HEADS, builder
from mmdet.models.losses import accuracy
from .approaches import (FrequencyBias, PostProcessor, RelationSa... | 18,539 | 41.136364 | 131 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/vctree_head.py | # ---------------------------------------------------------------
# vctree_head.py
# Set-up time: 2020/6/4 上午9:35
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ---... | 7,052 | 40.005814 | 87 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/psgtr_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import time
from collections import defaultdict
from inspect import signature
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from mmcv.cnn import Conv2d, Linear, build_activation_layer
from mmcv.cnn.bricks.transformer import FFN, bu... | 64,402 | 46.600148 | 189 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/detr4seg_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import time
from collections import defaultdict
from inspect import signature
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from mmcv.cnn import Conv2d, Linear, build_activation_layer
from mmcv.cnn.bricks.transformer import FFN, bu... | 41,053 | 43.049356 | 108 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/vctree_util.py | # ---------------------------------------------------------------
# vctree_util.py
# Set-up time: 2020/6/4 下午3:43
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ---... | 15,131 | 32.330396 | 105 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/imp.py | # ---------------------------------------------------------------
# imp.py
# Set-up time: 2020/5/21 下午11:26
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ---------... | 5,667 | 38.915493 | 78 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/pointnet.py | # ---------------------------------------------------------------
# pointnet.py
# Set-up time: 2020/10/6 23:24
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ------... | 7,176 | 33.671498 | 75 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/dmp.py | # ---------------------------------------------------------------
# dmp.py
# Set-up time: 2020/10/7 22:23
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# -----------... | 6,337 | 39.113924 | 76 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/motif_util.py | # ---------------------------------------------------------------
# motif_util.py
# Set-up time: 2020/5/4 下午4:36
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ----... | 11,894 | 36.40566 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/matcher.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import AssignResult, BaseAssigner, bbox_cxcywh_to_xyxy
from mmdet.core.bbox.builder import BBOX_ASSIGNERS
from mmdet.core.bbox.match_costs import build_match_cost
try:
from scipy.optimize import linear_sum_assignment
except ImportError:
... | 9,976 | 45.404651 | 78 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/relation_ranker.py | # ---------------------------------------------------------------
# relation_ranker.py
# Set-up time: 2021/5/11 16:21
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
#... | 8,696 | 41.014493 | 126 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/relation_util.py | # ---------------------------------------------------------------
# relation_util.py
# Set-up time: 2020/5/7 下午11:13
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ... | 28,570 | 41.707025 | 123 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/sampling.py | # ---------------------------------------------------------------
# sampling.py
# Set-up time: 2020/5/7 下午4:31
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ------... | 18,035 | 46.968085 | 120 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/motif.py | # ---------------------------------------------------------------
# motif.py
# Set-up time: 2020/5/4 下午4:31
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# ---------... | 19,918 | 41.112051 | 102 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/__init__.py | from .dmp import DirectionAwareMessagePassing
from .imp import IMPContext
from .motif import FrequencyBias, LSTMContext
from .pointnet import PointNetFeat
from .relation_ranker import get_weak_key_rel_labels
from .relation_util import PostProcessor, Result
from .sampling import RelationSampler
from .vctree import VCTre... | 333 | 36.111111 | 52 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/treelstm_util.py | # ---------------------------------------------------------------
# treelstm_util.py
# Set-up time: 2020/6/4 下午4:42
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# -... | 15,090 | 41.271709 | 99 | py |
OpenPSG | OpenPSG-main/openpsg/models/relation_heads/approaches/vctree.py | # ---------------------------------------------------------------
# vctree.py
# Set-up time: 2020/6/4 上午10:22
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR] nkwangwenbin@gmail.com
# -------... | 16,755 | 41.206549 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/models/frameworks/dual_transformer.py | import torch
from mmcv.cnn import xavier_init
from mmcv.cnn.bricks.transformer import build_transformer_layer_sequence
from mmcv.runner.base_module import BaseModule
from mmdet.models.utils.builder import TRANSFORMER
@TRANSFORMER.register_module()
class DualTransformer(BaseModule):
"""Modify the DETR transformer ... | 4,484 | 45.237113 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/models/frameworks/psgtr.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
import numpy as np
import torch
import torch.nn.functional as F
from detectron2.utils.visualizer import VisImage, Visualizer
from mmdet.datasets.coco_panoptic import INSTANCE_OFFSET
from mmdet.models import DETECTORS, SingleStageDetector
from... | 6,062 | 39.152318 | 104 | py |
OpenPSG | OpenPSG-main/openpsg/models/frameworks/detr4seg.py | # Copyright (c) OpenMMLab. All rights reserved.
import imghdr
import random
import time
import warnings
from turtle import shape
import cv2
import matplotlib.pyplot as plt
import mmcv
import numpy as np
import torch
import torch.nn.functional as F
from detectron2.utils.visualizer import VisImage, Visualizer
from mmdet... | 11,322 | 35.525806 | 85 | py |
OpenPSG | OpenPSG-main/openpsg/models/frameworks/sg_panoptic_fpn.py | import mmcv
import numpy as np
import torch
import torch.nn.functional as F
from detectron2.utils.visualizer import VisImage, Visualizer
from mmdet.core import BitmapMasks, bbox2roi, build_assigner, multiclass_nms
from mmdet.datasets.coco_panoptic import INSTANCE_OFFSET
from mmdet.models import DETECTORS, PanopticFPN
f... | 35,038 | 34.003996 | 88 | py |
OpenPSG | OpenPSG-main/openpsg/models/frameworks/sg_rcnn.py | import mmcv
import numpy as np
import torch
import torch.nn.functional as F
from detectron2.utils.visualizer import VisImage, Visualizer
from mmdet.core import bbox2roi, build_assigner
from mmdet.models import DETECTORS, TwoStageDetector
from mmdet.models.builder import build_head
from openpsg.models.relation_heads.ap... | 23,736 | 35.462366 | 112 | py |
OpenPSG | OpenPSG-main/openpsg/models/frameworks/__init__.py | from .sg_panoptic_fpn import SceneGraphPanopticFPN
from .sg_rcnn import SceneGraphRCNN
| 87 | 28.333333 | 50 | py |
OpenPSG | OpenPSG-main/openpsg/models/roi_heads/scene_graph_roi_head.py | """
See: https://mmdetection.readthedocs.io/en/v2.19.0/tutorials/customize_models.html
"""
from mmdet.models import HEADS, StandardRoIHead
@HEADS.register_module()
class SceneGraphRoIHead(StandardRoIHead):
def __init__(self, param, **kwargs):
super().__init__(**kwargs)
self.param = self.param
| 316 | 25.416667 | 82 | py |
OpenPSG | OpenPSG-main/openpsg/models/roi_heads/__init__.py | from .bbox_heads import SceneGraphBBoxHead
| 43 | 21 | 42 | py |
OpenPSG | OpenPSG-main/openpsg/models/roi_heads/bbox_heads/__init__.py | from .sg_bbox_head import SceneGraphBBoxHead
| 45 | 22 | 44 | py |
OpenPSG | OpenPSG-main/openpsg/models/roi_heads/bbox_heads/sg_bbox_head.py | import torch.nn.functional as F
from mmcv.runner import force_fp32
from mmdet.models import Shared2FCBBoxHead
from mmdet.models.builder import HEADS
from openpsg.utils.utils import multiclass_nms_alt
@HEADS.register_module()
class SceneGraphBBoxHead(Shared2FCBBoxHead):
@force_fp32(apply_to=('cls_score', 'bbox_pr... | 3,107 | 36.445783 | 78 | py |
OpenPSG | OpenPSG-main/openpsg/models/losses/seg_losses.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.models.builder import LOSSES
from mmdet.models.losses.utils import weighted_loss
#@mmcv.jit(derivate=True, coderize=True)
@weighted_loss
def dice_loss(input, target, mask=None, eps=0.001):
N, H, W = input.shape
input = input.contig... | 5,046 | 34.542254 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/models/losses/__init__.py | from .seg_losses import BCEFocalLoss, dice_loss, psgtrDiceLoss
__all__ = ['BCEFocalLoss', 'dice_loss', 'psgtrDiceLoss']
| 121 | 29.5 | 62 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/psg.py | import os.path as osp
import random
from collections import defaultdict
import mmcv
import numpy as np
import torch
from detectron2.data.detection_utils import read_image
from mmdet.datasets import DATASETS, CocoPanopticDataset
from mmdet.datasets.coco_panoptic import COCOPanoptic
from mmdet.datasets.pipelines import ... | 15,541 | 34.083521 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/sg.py | import os.path as osp
import random
from collections import defaultdict
import mmcv
import numpy as np
from mmdet.datasets import DATASETS, CocoDataset
from mmdet.datasets.api_wrappers import COCO
from mmdet.datasets.pipelines import Compose
from openpsg.evaluation import sgg_evaluation
from openpsg.models.relation_h... | 11,107 | 33.390093 | 105 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/__init__.py | from .builder import DATASETS, PIPELINES, build_dataset
from .pipelines import (LoadPanopticSceneGraphAnnotations,
LoadSceneGraphAnnotations,
PanopticSceneGraphFormatBundle, SceneGraphFormatBundle)
from .psg import PanopticSceneGraphDataset
from .sg import SceneGraphDatas... | 571 | 39.857143 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import platform
from mmcv.utils import Registry, build_from_cfg
from mmdet.datasets import DATASETS as MMDET_DATASETS
from mmdet.datasets.builder import _concat_dataset
if platform.system() != 'Windows':
# https://github.com/pytorch/pytorch/issues/973
import res... | 1,841 | 40.863636 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/pipelines/formatting.py | from mmcv.parallel import DataContainer as DC
from mmdet.datasets import PIPELINES
from mmdet.datasets.pipelines import DefaultFormatBundle, to_tensor
@PIPELINES.register_module()
class SceneGraphFormatBundle(DefaultFormatBundle):
def __call__(self, results):
results = super().__call__(results)
i... | 982 | 30.709677 | 70 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/pipelines/loading.py | import os.path as osp
import mmcv
import numpy as np
from mmcv.parallel import DataContainer as DC
from mmdet.core import BitmapMasks
from mmdet.datasets import PIPELINES
from mmdet.datasets.pipelines import (DefaultFormatBundle, LoadAnnotations,
to_tensor)
from mmdet.datasets.pip... | 5,278 | 29.33908 | 79 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/pipelines/rel_randomcrop.py | import random
import numpy as np
from mmdet.datasets import PIPELINES
from mmdet.datasets.pipelines import RandomCrop
@PIPELINES.register_module()
class RelRandomCrop(RandomCrop):
"""Random crop the image & bboxes & masks & scene relations."""
def _crop_data(self, results, crop_size, allow_negative_crop):
... | 3,923 | 44.627907 | 92 | py |
OpenPSG | OpenPSG-main/openpsg/datasets/pipelines/__init__.py | from .formatting import PanopticSceneGraphFormatBundle, SceneGraphFormatBundle
from .loading import (LoadPanopticSceneGraphAnnotations,
LoadSceneGraphAnnotations)
__all__ = [
'PanopticSceneGraphFormatBundle', 'SceneGraphFormatBundle',
'LoadPanopticSceneGraphAnnotations', 'LoadSceneGraphAn... | 333 | 36.111111 | 78 | py |
OpenPSG | OpenPSG-main/openpsg/utils/utils.py | from typing import Tuple
import os.path as osp
import PIL
import mmcv
import mmcv.ops as ops
import numpy as np
import torch
from detectron2.utils.colormap import colormap
from detectron2.utils.visualizer import VisImage, Visualizer
from mmdet.datasets.coco_panoptic import INSTANCE_OFFSET
import matplotlib.pyplot as pl... | 16,860 | 31.676357 | 90 | py |
OpenPSG | OpenPSG-main/openpsg/utils/__init__.py | from .utils import * # noqa: F401,F403
from .vis_tools import * # noqa: F401,F403
| 85 | 20.5 | 43 | py |
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