repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/InvertedPendulumSwingupPyBulletEnv_v0_2017may.py | #add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import inspect
import os
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import numpy as np
... | 23,288 | 183.833333 | 606 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/InvertedPendulumPyBulletEnv_v0_2017may.py | #add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import inspect
import os
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import numpy as np
... | 23,693 | 185.566929 | 606 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/AtlasPyBulletEnv_v0_2017jul.py | #add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import inspect
import os
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import numpy as np
... | 174,944 | 608.56446 | 1,182 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/HumanoidFlagrunHarderPyBulletEnv_v0_2017may.py | #add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import inspect
import os
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import numpy as np
... | 421,277 | 928.97351 | 2,334 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/policies.py | import numpy as np
def relu(x):
return np.maximum(x, 0)
class SmallReactivePolicy:
"""Simple multi-layer perceptron policy, no internal state"""
def __init__(self, observation_space, action_space, weights, biases):
self.weights = weights
self.biases = biases
def act(self, ob):
... | 527 | 25.4 | 73 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/Walker2DPyBulletEnv_v0_2017may.py | #add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import inspect
import os
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import numpy as np
... | 105,464 | 440.276151 | 1,182 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/HumanoidFlagrunPyBulletEnv_v0_2017may.py | #add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import inspect
import os
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import numpy as np
... | 421,278 | 926.927313 | 2,334 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/__init__.py | 0 | 0 | 0 | py | |
pybullet-gym | pybullet-gym-master/pybulletgym/tests/roboschool/agents/InvertedDoublePendulumPyBulletEnv_v0_2017may.py | #add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import inspect
import os
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import numpy as np
... | 25,604 | 195.961538 | 606 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/utils/kerasrl_utils.py |
import re
from gym import error
import glob
# checkpoints/KerasDDPG-InvertedPendulum-v0-20170701190920_actor.h5
weight_save_re = re.compile(r'^(?:\w+\/)+?(\w+-v\d+)-(\w+-v\d+)-(\d+)(?:_\w+)?\.(\w+)$')
def get_fields(weight_save_name):
match = weight_save_re.search(weight_save_name)
if not match:
raise err... | 1,135 | 38.172414 | 158 | py |
pybullet-gym | pybullet-gym-master/pybulletgym/utils/__init__.py | 0 | 0 | 0 | py | |
pybullet-gym | pybullet-gym-master/pybulletgym/utils/robot_dev_util.py | from pybulletgym.envs.roboschool.robots.locomotors import Ant
import gym.utils.seeding
import numpy as np
import pybullet as p
import time
from importlib import import_module
import sys
if __name__ == "__main__":
physicsClient = p.connect(p.GUI)
path, class_str = sys.argv[1].rsplit('.', 1)
module = impo... | 790 | 25.366667 | 124 | py |
dilran | dilran-main/inference.py | # inference fused image
import os
import argparse
import torch
import torch.nn as nn
import sys
from torchmetrics import PeakSignalNoiseRatio
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
from models.model_v5 import *
from our_utils import *
from eval import psnr, ssim, mutual_information
fr... | 4,455 | 29.944444 | 119 | py |
dilran | dilran-main/val.py | # Validation script for the project
# Validate a trained medical image fusion model
# Author: Reacher, last modify Nov. 28, 2022
'''
Change log:
Reacher: file created
'''
from evaluation_metrics import *
# run validation for every epoch
import os
import argparse
import torch
import torch.nn as nn
from torchmetrics... | 3,651 | 30.756522 | 92 | py |
dilran | dilran-main/evaluation_metrics.py | # Evaluation Metrics and get results
# Author: Reacher Z., last modify Nov. 26, 2022
"""
Change log:
- Reacher: file created, implement PSNR, SSIM, NMI, MI
"""
import numpy as np
import torch
from skimage.metrics import peak_signal_noise_ratio, normalized_mutual_information
from scipy.stats import entropy
from torch... | 7,123 | 37.717391 | 117 | py |
dilran | dilran-main/train_with_val.py | # Training script for the project
# Author: Simon Zhou, last modify Nov. 18, 2022
'''
Change log:
-Simon: file created, write some training code
-Simon: refine training script
-Reacher: train v3
'''
import argparse
import os
import sys
sys.path.append("../")
from tqdm import trange
import numpy as np
import torch
i... | 8,409 | 35.885965 | 109 | py |
dilran | dilran-main/train_with_pair.py | # Training script for the project
# Author: Simon Zhou, last modify Nov. 18, 2022
'''
Change log:
-Simon: file created, write some training code
-Simon: refine training script
-Reacher: train v3
-Reacher: add model choice
-Simon: train with paired images, use FL1N fusion strategy
'''
import argparse
import sys
sys.p... | 9,453 | 34.810606 | 112 | py |
dilran | dilran-main/loss.py | # Loss functions for the project
# Author: Reacher Z., last modify Nov. 18, 2022
"""
Change log:
- Reacher: file created, implement L1 loss and L2 loss function
- Reacher: update image gradient calculation
- Simon: update image gradient loss
- Simon: add loss_func2, and L1_Charbonnier_loss
"""
import numpy as np
imp... | 5,123 | 32.272727 | 105 | py |
dilran | dilran-main/model.py |
# Model Architecture
# Author: Landy Xu, created on Nov. 12, 2022
# Last modified by Simon on Nov. 13
'''
Change log:
- Landy: create feature extractor and DILRAN
- Simon: revise some writing style of module configs (e.g., replace = True),
refine the FE module, add recon module
- Simon: create full model pipeline
-... | 7,479 | 35.847291 | 124 | py |
dilran | dilran-main/model_v5.py |
# Model Architecture
# Author: Landy Xu, created on Nov. 12, 2022
# Last modified by Simon on Nov. 13
# Version 2: add attention to shallow feature, change first conv to 1x1 kernal
'''
Change log:
- Landy: create feature extractor and DILRAN
- Simon: revise some writing style of module configs (e.g., replace = True)... | 8,819 | 37.017241 | 126 | py |
dilran | dilran-main/dataset_loader.py | # Get dataloader for MRI-CT data
# Author: Simon Zhou, last modify Nov. 11, 2022
'''
Change log:
- Simon: file created, implement dataset loader
'''
import os
import sys
import numpy as np
import torch
from torch.utils.data import DataLoader, random_split, Dataset
import skimage.io as io
class getIndex(Dataset):
... | 4,508 | 31.207143 | 101 | py |
dilran | dilran-main/eval.py | # Evaluation Metrics and get results
# Author: Reacher Z., last modify Nov. 26, 2022
"""
Change log:
- Reacher: file created, implement PSNR, SSIM, NMI, MI
"""
import numpy as np
import sklearn.metrics as skm
import torch
from skimage.metrics import peak_signal_noise_ratio, normalized_mutual_information
from torchme... | 3,094 | 35.411765 | 110 | py |
dilran | dilran-main/our_utils.py | # helper functions for the project
# Author: Simon Zhou, last modify Nov. 15, 2022
'''
Change log:
- Simon: file created, implement edge detector
- Simon: create helper function for perceptual loss
- Reacher: create fusion strategy function
- Simon: add random seed func for seeding
'''
import torch
import torch.nn ... | 6,597 | 28.855204 | 125 | py |
dilran | dilran-main/train.py | # Training script for the project
# Author: Simon Zhou, last modify Nov. 18, 2022
'''
Change log:
-Simon: file created, write some training code
-Simon: refine training script
'''
import argparse
import os
import sys
sys.path.append("../")
from tqdm import trange
import numpy as np
import torch
import torch.nn as nn... | 7,150 | 36.439791 | 144 | py |
dilran | dilran-main/meta_config.py | # configuration file for training
# Author: Simon Zhou, last modify Nov.18 2022
'''
Do not need a change log, you can always change to your own directory
'''
import os
data_dir = os.getcwd()
res_dir = os.getcwd() + "/res"
test_data_dir = os.getcwd() + "/testset"
test_num = 20
train_val_ratio = 0.8
# lambdas in loss... | 406 | 18.380952 | 69 | py |
audio-text_retrieval | audio-text_retrieval-main/data_prep.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
from tools.dataset import pack_dataset_to_hdf5
from loguru import logger
if __name__ == '__main__':
logger.info('Packing dataset to hdf5 files.')
logger.info('Packing AudioCaps...')
... | 494 | 26.5 | 52 | py |
audio-text_retrieval | audio-text_retrieval-main/train.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import os
import argparse
import torch
from trainer.trainer import train
from tools.config_loader import get_config
if __name__ == '__main__':
os.environ['CUDA_LAUNCH_BLOCKING'] = '1'
... | 1,980 | 35.685185 | 73 | py |
audio-text_retrieval | audio-text_retrieval-main/trainer/trainer.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import platform
import sys
import time
import numpy as np
import torch
from tqdm import tqdm
from pathlib import Path
from loguru import logger
from pprint import PrettyPrinter
from torch.utils.t... | 7,788 | 36.628019 | 120 | py |
audio-text_retrieval | audio-text_retrieval-main/tools/loss.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import torch
import torch.nn as nn
from sentence_transformers import util
import torch.nn.functional as F
class TripletLoss(nn.Module):
def __init__(self, margin=0.2):
super(Triple... | 5,474 | 29.248619 | 95 | py |
audio-text_retrieval | audio-text_retrieval-main/tools/utils.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
"""
Evaluation tools adapted from https://github.com/fartashf/vsepp/blob/master/evaluation.py
"""
import numpy as np
import torch
import random
from sentence_transformers import util
fro... | 4,670 | 28.751592 | 89 | py |
audio-text_retrieval | audio-text_retrieval-main/tools/dataset.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import time
from itertools import chain
import h5py
import numpy as np
import librosa
from re import sub
from loguru import logger
from pathlib import Path
from tqdm import tqdm
from tools.file_... | 5,198 | 31.291925 | 111 | py |
audio-text_retrieval | audio-text_retrieval-main/tools/file_io.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
from pathlib import Path
import os
import csv
import pickle
def write_csv_file(csv_obj, file_name):
with open(file_name, 'w') as f:
writer = csv.DictWriter(f, csv_obj[0].ke... | 980 | 22.357143 | 71 | py |
audio-text_retrieval | audio-text_retrieval-main/tools/config_loader.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import yaml
from dotmap import DotMap
def get_config(config_name='settings'):
with open('settings/{}.yaml'.format(config_name), 'r') as f:
config = yaml.load(f, Loader=ya... | 381 | 20.222222 | 64 | py |
audio-text_retrieval | audio-text_retrieval-main/data_handling/DataLoader.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import torch
import random
import numpy as np
import h5py
from torch.utils.data import Dataset
from torch.utils.data.dataloader import DataLoader
class AudioCaptionDataset(Dataset):
def _... | 3,778 | 31.86087 | 93 | py |
audio-text_retrieval | audio-text_retrieval-main/models/BERT_Config.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
from transformers import BertModel, BertTokenizer, GPT2Model, GPT2Tokenizer,\
RobertaModel, RobertaTokenizer, DistilBertModel, DistilBertTokenizer,\
CLIPTokenizer, CLIPTextModel
MODELS =... | 1,116 | 43.68 | 77 | py |
audio-text_retrieval | audio-text_retrieval-main/models/TextEncoder.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import math
import torch
import torch.nn as nn
import numpy as np
from models.BERT_Config import MODELS
class BertEncoder(nn.Module):
def __init__(self, config):
super(BertEncoder... | 1,812 | 36 | 106 | py |
audio-text_retrieval | audio-text_retrieval-main/models/ASE_model.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
import math
import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
from tools.utils import l2norm
from models.AudioEncoder import Cnn10, ResNet38, Cnn14
from model... | 3,846 | 33.348214 | 97 | py |
audio-text_retrieval | audio-text_retrieval-main/models/AudioEncoder.py | #!/usr/bin/env python3
# coding: utf-8
# @Author : Xinhao Mei @CVSSP, University of Surrey
# @E-mail : [email protected]
"""
Adapted from PANNs (Pre-trained Audio Neural Networks).
https://github.com/qiuqiangkong/audioset_tagging_cnn/blob/master/pytorch/models.py
"""
import torch
import torch.nn as nn
import torch... | 17,859 | 37.081023 | 100 | py |
PseCo | PseCo-master/setup.py | import re
from setuptools import find_packages, setup
def get_version():
version_file = "ssod/version.py"
with open(version_file, "r") as f:
exec(compile(f.read(), version_file, "exec"))
return locals()["__version__"]
def parse_requirements(fname="requirements.txt", with_version=True):
"""P... | 3,554 | 34.55 | 125 | py |
PseCo | PseCo-master/tools/test.py | import argparse
import os
import os.path as osp
import time
import warnings
import mmcv
import torch
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import get_dist_info, init_dist, load_checkpoint, wrap_fp16_mod... | 9,642 | 35.665399 | 85 | py |
PseCo | PseCo-master/tools/train.py | import argparse
import copy
import os
import os.path as osp
import time
import warnings
from logging import log
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 mmdet.models import build_... | 7,046 | 34.41206 | 87 | py |
PseCo | PseCo-master/tools/dataset/semi_coco.py | # Copyright 2020 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 4,726 | 35.083969 | 156 | py |
PseCo | PseCo-master/tools/misc/browse_dataset.py | import argparse
import os
from pathlib import Path
import mmcv
import torch
from mmcv import Config, DictAction
from mmdet.core.utils import mask2ndarray
from mmdet.core.visualization import imshow_det_bboxes
from ssod.datasets import build_dataset
from ssod.models.utils import Transform2D
def parse_args():
par... | 5,583 | 31.091954 | 83 | py |
PseCo | PseCo-master/ssod/version.py | __version__ = "0.0.1"
__all__ = ["__version__"]
| 49 | 11.5 | 25 | py |
PseCo | PseCo-master/ssod/__init__.py | from .models import *
| 22 | 10.5 | 21 | py |
PseCo | PseCo-master/ssod/apis/inference.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
from mmcv.runner import load_checkpoint
from mmdet.core import get_classes
from mmdet.models import build_detector
def init_detector(config, checkpoint=None, device="cuda:0", cfg_options=None):
"""Initialize a detector from config file.... | 2,762 | 32.695122 | 84 | py |
PseCo | PseCo-master/ssod/apis/__init__.py | from .train import get_root_logger, set_random_seed, train_detector
__all__ = ["get_root_logger", "set_random_seed", "train_detector"]
| 136 | 33.25 | 67 | py |
PseCo | PseCo-master/ssod/apis/train.py | import random
import warnings
import numpy as np
import torch
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import (
HOOKS,
DistSamplerSeedHook,
EpochBasedRunner,
Fp16OptimizerHook,
OptimizerHook,
build_optimizer,
build_runner,
)
from mmcv.runner.hooks... | 7,063 | 32.961538 | 92 | py |
PseCo | PseCo-master/ssod/core/__init__.py | from .masks import TrimapMasks
| 31 | 15 | 30 | py |
PseCo | PseCo-master/ssod/core/masks/structures.py | """
Designed for pseudo masks.
In a `TrimapMasks`, it allow some part of the mask is ignored when computing loss.
"""
import numpy as np
import torch
from mmcv.ops.roi_align import roi_align
from mmdet.core import BitmapMasks
class TrimapMasks(BitmapMasks):
def __init__(self, masks, height, width, ignore_value=25... | 2,157 | 34.377049 | 82 | py |
PseCo | PseCo-master/ssod/core/masks/__init__.py | from .structures import TrimapMasks
| 36 | 17.5 | 35 | py |
PseCo | PseCo-master/ssod/models/PseCo_frcnn.py | import copy
import os.path as osp
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import mmcv
from mmcv.runner.fp16_utils import force_fp32
from mmcv.cnn import normal_init
from mmcv.ops import batched_nms
from mmdet.core import bbox2roi, multi_appl... | 27,527 | 40.645991 | 129 | py |
PseCo | PseCo-master/ssod/models/__init__.py | from .PseCo_frcnn import PseCo_FRCNN | 36 | 36 | 36 | py |
PseCo | PseCo-master/ssod/models/multi_stream_detector.py | from typing import Dict
from mmdet.models import BaseDetector, TwoStageDetector
class MultiSteamDetector(BaseDetector):
def __init__(
self, model: Dict[str, TwoStageDetector], train_cfg=None, test_cfg=None
):
super(MultiSteamDetector, self).__init__()
self.submodules = list(model.keys(... | 2,233 | 36.233333 | 83 | py |
PseCo | PseCo-master/ssod/models/utils/gather.py | import torch
import torch.distributed as dist
@torch.no_grad()
def concat_all_gather(tensor):
# gather all tensor shape
shape_tensor = torch.tensor(tensor.shape, device='cuda')
shape_list = [shape_tensor.clone() for _ in range(dist.get_world_size())]
dist.all_gather(shape_list, shape_tensor)
... | 1,111 | 36.066667 | 97 | py |
PseCo | PseCo-master/ssod/models/utils/__init__.py | from .bbox_utils import (Transform2D, filter_invalid, filter_invalid_classwise,
filter_invalid_scalewise, resize_image, evaluate_pseudo_label,
get_pseudo_label_quality)
from .gather import concat_all_gather | 259 | 51 | 88 | py |
PseCo | PseCo-master/ssod/models/utils/bbox_utils.py | import warnings
from collections.abc import Sequence
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from mmdet.core.mask.structures import BitmapMasks
from torch.nn import functional as F
from mmcv.runner.fp16_utils import force_fp32
import ipdb
def resize_image(inputs, resize_ratio=0... | 12,472 | 32.084881 | 115 | py |
PseCo | PseCo-master/ssod/datasets/dataset_wrappers.py | from mmdet.datasets import DATASETS, ConcatDataset, build_dataset
import ipdb
@DATASETS.register_module()
class SemiDataset(ConcatDataset):
"""Wrapper for semisupervised od."""
def __init__(self, sup: dict, unsup: dict, **kwargs):
super().__init__([build_dataset(sup), build_dataset(unsup)], **kwargs... | 456 | 23.052632 | 78 | py |
PseCo | PseCo-master/ssod/datasets/__init__.py | from mmdet.datasets import build_dataset
from .builder import build_dataloader
from .dataset_wrappers import SemiDataset
from .pipelines import *
from .pseudo_coco import PseudoCocoDataset
from .samplers import DistributedGroupSemiBalanceSampler
__all__ = [
"PseudoCocoDataset",
"build_dataloader",
"build_... | 393 | 23.625 | 56 | py |
PseCo | PseCo-master/ssod/datasets/builder.py | from collections.abc import Mapping, Sequence
from functools import partial
import torch
from mmcv.parallel import DataContainer
from mmcv.runner import get_dist_info
from mmcv.utils import Registry, build_from_cfg
from mmdet.datasets.builder import worker_init_fn
from mmdet.datasets.samplers import (
DistributedG... | 6,383 | 34.664804 | 88 | py |
PseCo | PseCo-master/ssod/datasets/pseudo_coco.py | import copy
import json
from mmdet.datasets import DATASETS, CocoDataset
from mmdet.datasets.api_wrappers import COCO
@DATASETS.register_module()
class PseudoCocoDataset(CocoDataset):
def __init__(
self,
ann_file,
pseudo_ann_file,
pipeline,
confidence_threshold=0.9,
... | 2,516 | 27.931034 | 89 | py |
PseCo | PseCo-master/ssod/datasets/samplers/semi_sampler.py | from __future__ import division
import numpy as np
import torch
from mmcv.runner import get_dist_info
from torch.utils.data import Sampler, WeightedRandomSampler
from ..builder import SAMPLERS
import ipdb
@SAMPLERS.register_module()
class GroupSemiBalanceSampler(Sampler):
def __init__(
self,
data... | 13,142 | 38.587349 | 88 | py |
PseCo | PseCo-master/ssod/datasets/samplers/__init__.py | from .semi_sampler import DistributedGroupSemiBalanceSampler, GroupSemiBalanceSampler
__all__ = [
"DistributedGroupSemiBalanceSampler", "GroupSemiBalanceSampler"
]
| 168 | 32.8 | 85 | py |
PseCo | PseCo-master/ssod/datasets/pipelines/formatting.py | import numpy as np
from mmdet.datasets import PIPELINES
from mmdet.datasets.pipelines.formating import Collect
from ssod.core import TrimapMasks
@PIPELINES.register_module()
class ExtraAttrs(object):
def __init__(self, **attrs):
self.attrs = attrs
def __call__(self, results):
for k, v in sel... | 2,644 | 32.481013 | 109 | py |
PseCo | PseCo-master/ssod/datasets/pipelines/rand_aug.py | """
Modified from https://github.com/google-research/ssl_detection/blob/master/detection/utils/augmentation.py.
"""
import copy
import os
import os.path as osp
import cv2
import mmcv
import numpy as np
from PIL import Image, ImageEnhance, ImageOps
from mmcv.image.colorspace import bgr2rgb, rgb2bgr
from mmdet.core.mask ... | 35,191 | 34.475806 | 166 | py |
PseCo | PseCo-master/ssod/datasets/pipelines/__init__.py | from .formatting import *
from .rand_aug import *
| 50 | 16 | 25 | py |
PseCo | PseCo-master/ssod/datasets/pipelines/geo_utils.py | """
Record the geometric transformation information used in the augmentation in a transformation matrix.
"""
import numpy as np
class GeometricTransformationBase(object):
@classmethod
def inverse(cls, results):
# compute the inverse
return results["transform_matrix"].I # 3x3
@classmethod... | 3,319 | 33.947368 | 100 | py |
PseCo | PseCo-master/ssod/utils/vars.py | import re
from typing import Union
pattern = re.compile("\$\{[a-zA-Z\d_.]*\}")
def get_value(cfg: dict, chained_key: str):
keys = chained_key.split(".")
if len(keys) == 1:
return cfg[keys[0]]
else:
return get_value(cfg[keys[0]], ".".join(keys[1:]))
def resolve(cfg: Union[dict, list], ba... | 1,076 | 28.916667 | 70 | py |
PseCo | PseCo-master/ssod/utils/signature.py | import inspect
def parse_method_info(method):
sig = inspect.signature(method)
params = sig.parameters
return params
| 130 | 15.375 | 35 | py |
PseCo | PseCo-master/ssod/utils/patch.py | import glob
import os
import os.path as osp
import shutil
import types
import ipdb
from mmcv.runner import BaseRunner, EpochBasedRunner, IterBasedRunner
from mmcv.utils import Config
from .signature import parse_method_info
from .vars import resolve
def find_latest_checkpoint(path, ext="pth"):
if not osp.exists... | 2,508 | 29.228916 | 74 | py |
PseCo | PseCo-master/ssod/utils/logger.py | import logging
import os
import sys
from collections import Counter
from typing import Tuple
import mmcv
import numpy as np
import torch
from mmcv.runner.dist_utils import get_dist_info
from mmcv.utils import get_logger
from mmdet.core.visualization import imshow_det_bboxes
try:
import wandb
except:
wandb = N... | 5,179 | 28.942197 | 86 | py |
PseCo | PseCo-master/ssod/utils/__init__.py | from .exts import NamedOptimizerConstructor
from .hooks import Weighter, MeanTeacher, WeightSummary, SubModulesDistEvalHook
from .logger import get_root_logger, log_every_n, log_image_with_boxes
from .patch import patch_config, patch_runner, find_latest_checkpoint
__all__ = [
"get_root_logger",
"log_every_n",... | 540 | 26.05 | 79 | py |
PseCo | PseCo-master/ssod/utils/structure_utils.py | import warnings
from collections import Counter, Mapping, Sequence
from numbers import Number
from typing import Dict, List
import numpy as np
import torch
from mmdet.core.mask.structures import BitmapMasks
from torch.nn import functional as F
import ipdb
_step_counter = Counter()
def list_concat(data_list: List[lis... | 4,372 | 27.212903 | 88 | py |
PseCo | PseCo-master/ssod/utils/exts/optimizer_constructor.py | import warnings
import torch
from torch.nn import GroupNorm, LayerNorm
from mmcv.utils import _BatchNorm, _InstanceNorm, build_from_cfg
from mmcv.utils.ext_loader import check_ops_exist
from mmcv.runner.optimizer.builder import OPTIMIZER_BUILDERS, OPTIMIZERS
from mmcv.runner.optimizer import DefaultOptimizerConstruct... | 5,163 | 44.298246 | 87 | py |
PseCo | PseCo-master/ssod/utils/exts/__init__.py | from .optimizer_constructor import NamedOptimizerConstructor
| 61 | 30 | 60 | py |
PseCo | PseCo-master/ssod/utils/hooks/weights_summary.py | import os.path as osp
import torch.distributed as dist
from mmcv.parallel import is_module_wrapper
from mmcv.runner.hooks import HOOKS, Hook
from ..logger import get_root_logger
from prettytable import PrettyTable
def bool2str(input):
if input:
return "Y"
else:
return "N"
def unknown():
... | 2,954 | 27.970588 | 86 | py |
PseCo | PseCo-master/ssod/utils/hooks/mean_teacher.py | from mmcv.parallel import is_module_wrapper
from mmcv.runner.hooks import HOOKS, Hook
from bisect import bisect_right
from ..logger import log_every_n
import logging
import ipdb
@HOOKS.register_module()
class MeanTeacher(Hook):
def __init__(
self,
momentum=0.999,
interval=1,
warm_up... | 2,461 | 33.676056 | 84 | py |
PseCo | PseCo-master/ssod/utils/hooks/submodules_evaluation.py | import os.path as osp
import torch.distributed as dist
from mmcv.parallel import is_module_wrapper
from mmcv.runner.hooks import HOOKS, LoggerHook, WandbLoggerHook
from mmdet.core import DistEvalHook
from torch.nn.modules.batchnorm import _BatchNorm
@HOOKS.register_module()
class SubModulesDistEvalHook(DistEvalHook)... | 4,468 | 35.631148 | 81 | py |
PseCo | PseCo-master/ssod/utils/hooks/__init__.py | from .weight_adjust import Weighter, GetCurrentIter
from .mean_teacher import MeanTeacher
from .weights_summary import WeightSummary
from .evaluation import DistEvalHook
from .submodules_evaluation import SubModulesDistEvalHook
__all__ = [
"Weighter",
"MeanTeacher",
"DistEvalHook",
"SubModulesDistEva... | 372 | 23.866667 | 59 | py |
PseCo | PseCo-master/ssod/utils/hooks/evaluation.py | import os.path as osp
import torch.distributed as dist
from mmcv.runner.hooks import LoggerHook, WandbLoggerHook
from mmdet.core import DistEvalHook as BaseDistEvalHook
from torch.nn.modules.batchnorm import _BatchNorm
class DistEvalHook(BaseDistEvalHook):
def after_train_iter(self, runner):
"""Called af... | 2,247 | 37.758621 | 86 | py |
PseCo | PseCo-master/ssod/utils/hooks/weight_adjust.py | from mmcv.parallel import is_module_wrapper
from mmcv.runner.hooks import HOOKS, Hook
from bisect import bisect_right
@HOOKS.register_module()
class Weighter(Hook):
def __init__(
self,
steps=None,
vals=None,
name=None,
):
self.steps = steps
self.vals = vals
... | 1,406 | 28.93617 | 79 | py |
PseCo | PseCo-master/thirdparty/mmdetection/setup.py | #!/usr/bin/env python
# Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
import shutil
import sys
import warnings
from setuptools import find_packages, setup
import torch
from torch.utils.cpp_extension import (BuildExtension, CppExtension,
CUDAExtensi... | 7,838 | 34.958716 | 125 | py |
PseCo | PseCo-master/thirdparty/mmdetection/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 mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import (get_dis... | 9,363 | 38.179916 | 79 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/eval.py | import argparse
import pickle
import mmcv
from mmcv import Config, DictAction, PickleHandler
from mmdet.datasets import build_dataloader, build_dataset
from mmdet.datasets.coco import CocoDataset
import ipdb
def parse_args():
parser = argparse.ArgumentParser(
description='Eval Script'
)
parser... | 1,501 | 32.377778 | 87 | py |
PseCo | PseCo-master/thirdparty/mmdetection/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 m... | 6,962 | 35.647368 | 79 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/deployment/test_torchserver.py | from argparse import ArgumentParser
import numpy as np
import requests
from mmdet.apis import inference_detector, init_detector, show_result_pyplot
from mmdet.core import bbox2result
def parse_args():
parser = ArgumentParser()
parser.add_argument('img', help='Image file')
parser.add_argument('config', h... | 2,357 | 30.44 | 77 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/deployment/mmdet2torchserve.py | # Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser, Namespace
from pathlib import Path
from tempfile import TemporaryDirectory
import mmcv
try:
from model_archiver.model_packaging import package_model
from model_archiver.model_packaging_utils import ModelExportUtils
except Imp... | 3,693 | 32.279279 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/deployment/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import mmcv
from mmcv import Config, DictAction
from mmcv.parallel import MMDataParallel
from mmdet.apis import single_gpu_test
from mmdet.datasets import (build_dataloader, build_dataset,
replace_ImageToTensor)
def parse_ar... | 5,481 | 37.069444 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/deployment/onnx2tensorrt.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import warnings
import numpy as np
import onnx
import torch
from mmcv import Config
from mmcv.tensorrt import is_tensorrt_plugin_loaded, onnx2trt, save_trt_engine
from mmdet.core.export import preprocess_example_input
from... | 8,515 | 32.396078 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/deployment/mmdet_handler.py | # Copyright (c) OpenMMLab. All rights reserved.
import base64
import os
import mmcv
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):
properties ... | 2,560 | 34.569444 | 79 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/deployment/pytorch2onnx.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import warnings
from functools import partial
import numpy as np
import onnx
import torch
from mmcv import Config, DictAction
from mmdet.core.export import build_model_from_cfg, preprocess_example_input
from mmdet.core.export.model_... | 11,474 | 32.949704 | 79 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/misc/print_config.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import warnings
from mmcv import Config, DictAction
def parse_args():
parser = argparse.ArgumentParser(description='Print the whole config')
parser.add_argument('config', help='config file path')
parser.add_argument(
'--options',
... | 1,896 | 32.875 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/misc/browse_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
from collections import Sequence
from pathlib import Path
import mmcv
from mmcv import Config, DictAction
from mmdet.core.utils import mask2ndarray
from mmdet.core.visualization import imshow_det_bboxes
from mmdet.datasets.builder import build_... | 3,460 | 30.463636 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/model_converters/selfsup2mmdet.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... | 1,243 | 27.930233 | 74 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/model_converters/publish_model.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
import torch
def parse_args():
parser = argparse.ArgumentParser(
description='Process a checkpoint to be published')
parser.add_argument('in_file', help='input checkpoint filename')
parser.add_argument('out_file', h... | 1,301 | 28.590909 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/model_converters/regnet2mmdet.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... | 3,063 | 32.67033 | 77 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/model_converters/upgrade_model_version.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import re
import tempfile
from collections import OrderedDict
import torch
from mmcv import Config
def is_head(key):
valid_head_list = [
'bbox_head', 'mask_head', 'semantic_head', 'grid_head', 'mask_iou_head'
]
return any(key.starts... | 6,848 | 31.459716 | 79 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/model_converters/upgrade_ssd_version.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import tempfile
from collections import OrderedDict
import torch
from mmcv import Config
def parse_config(config_strings):
temp_file = tempfile.NamedTemporaryFile()
config_path = f'{temp_file.name}.py'
with open(config_path, 'w') as f:
... | 1,789 | 29.338983 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/model_converters/detectron2pytorch.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import mmcv
import torch
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 channel layer
sta... | 3,578 | 41.607143 | 78 | py |
PseCo | PseCo-master/thirdparty/mmdetection/tools/dataset_converters/images2coco.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import mmcv
from PIL import Image
def parse_args():
parser = argparse.ArgumentParser(
description='Convert images to coco format without annotations')
parser.add_argument('img_path', help='The root path of images')
parser.a... | 3,109 | 29.490196 | 77 | py |
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