repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
MatNet | MatNet-main/ATSP/ATSP_MatNet/ATSPTester.py |
"""
The MIT License
Copyright (c) 2021 MatNet
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, d... | 6,815 | 37.292135 | 115 | py |
MatNet | MatNet-main/ATSP/ATSP_MatNet/ATSPTrainer.py |
"""
The MIT License
Copyright (c) 2021 MatNet
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, d... | 9,434 | 41.309417 | 120 | py |
MatNet | MatNet-main/ATSP/ATSP_MatNet/ATSPEnv.py |
"""
The MIT License
Copyright (c) 2021 MatNet
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, d... | 5,553 | 33.07362 | 108 | py |
mezze | mezze-master/mezze/tfq/inference.py | # Copyright: 2015-2020 The Johns Hopkins University Applied Physics Laboratory LLC (JHU/APL).
# All Rights Reserved.
#
# This material may be only be used, modified, or reproduced by or for the U.S.
# Government pursuant to the license rights granted under the clauses at DFARS
# 252.227-7013/7014 or FAR 52.227-14. For ... | 10,349 | 39.272374 | 197 | py |
mezze | mezze-master/mezze/tfq/filter_fcn.py | # Copyright: 2015-2020 The Johns Hopkins University Applied Physics Laboratory LLC (JHU/APL).
# All Rights Reserved.
#
# This material may be only be used, modified, or reproduced by or for the U.S.
# Government pursuant to the license rights granted under the clauses at DFARS
# 252.227-7013/7014 or FAR 52.227-14. For ... | 16,269 | 35.809955 | 146 | py |
HateALERT-HASOC | HateALERT-HASOC-master/Data/bert_trial/simple_lm_finetuning.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | 27,716 | 42.24025 | 134 | py |
HateALERT-HASOC | HateALERT-HASOC-master/Data/bert_trial/finetune_on_pregenerated.py | from argparse import ArgumentParser
from pathlib import Path
import os
import torch
import logging
import json
import random
import numpy as np
from collections import namedtuple
from tempfile import TemporaryDirectory
from torch.utils.data import DataLoader, Dataset, RandomSampler
from torch.utils.data.distributed im... | 15,759 | 46.613293 | 136 | py |
HateALERT-HASOC | HateALERT-HASOC-master/Data/bert_trial/pregenerate_training_data.py | from argparse import ArgumentParser
from pathlib import Path
from tqdm import tqdm, trange
from tempfile import TemporaryDirectory
import shelve
from multiprocessing import Pool
from random import random, randrange, randint, shuffle, choice
from pytorch_transformers.tokenization_bert import BertTokenizer
import numpy ... | 16,272 | 44.839437 | 120 | py |
mapfe4mp | mapfe4mp-master/evaluate/test_model_utils.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Test model utils
"""
Created on Wed May 18 17:59:06 2022
@author: Carlos Gómez-Huélamo and Miguel Eduardo Ortiz Huamaní
"""
# General purpose imports
import sys
import time
import git
# DL & Math
import torch
import torchstat
from thop import profile, clever_for... | 969 | 20.555556 | 119 | py |
mapfe4mp | mapfe4mp-master/evaluate/test_flops_parameters.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Test performance of the models in terms of FLOPs (MACs) and parameters
"""
Created on Wed May 18 17:59:06 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import sys
import time
import pdb
import yaml
import os
import git
from prodict import Prodic... | 7,668 | 33.545045 | 115 | py |
mapfe4mp | mapfe4mp-master/evaluate/argoverse/generate_goal_points_error.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Compute the error between the goals and ground-truth end-points
"""
Created on Sun Mar 06 23:47:19 2022
@author: Carlos Gómez-Huélamo
"""
import cv2
import numpy as np
import os
import copy
import pdb
import sys
import math
import git
import csv
import torch
import... | 10,292 | 32.096463 | 128 | py |
mapfe4mp | mapfe4mp-master/evaluate/argoverse/generate_results_rel-rel.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Generate results:
## If 'train' or 'val': Check the results with the best ckpt (in order to obtain qualitative results, check metrics, etc.)
## If 'test': Generate the .h5 file to submit to the Argoverse 1.1 Motion Forecasting Leaderboard (qualitative results are ori... | 32,744 | 46.456522 | 181 | py |
mapfe4mp | mapfe4mp-master/model/modules/losses.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## losses
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import pdb
import os
# DL & Math imports
import math
import torch
import torch.nn as nn
import torch.cuda
import random
import numpy as np
import cv2
impor... | 33,749 | 36.964004 | 156 | py |
mapfe4mp | mapfe4mp-master/model/modules/evaluation_metrics.py | import torch
import random
import pdb
def displacement_error(pred_traj, pred_traj_gt, consider_ped=None, mode='sum'):
"""
If mode == "sum", we return the sum of all differences between GT and pred
along the prediction
"""
loss = pred_traj_gt.permute(1, 0, 2) - pred_traj.permute(1, 0, 2)
loss =... | 974 | 26.857143 | 83 | py |
mapfe4mp | mapfe4mp-master/model/modules/layers.py | import sys
import torch
import math
from torch import nn
if str(sys.version_info[0])+"."+str(sys.version_info[1]) >= "3.9": # Python >= 3.9
from math import gcd
else:
from fractions import gcd
import pdb
class MLP(nn.Module):
"""
"""
def __init__(self, dim_list, activation='relu', batch_norm=T... | 3,709 | 30.176471 | 82 | py |
mapfe4mp | mapfe4mp-master/model/modules/classifiers.py | import torch
from torch import nn
import pdb
from model.modules.layers import MLP
class Classifier(nn.Module):
def __init__(self, mlp_config):
super(Classifier, self).__init__()
self.spatial_embedding = MLP(**mlp_config)
# self.softmax = nn.Softmax(dim=1) # Perform softmax operation acc... | 1,273 | 32.526316 | 122 | py |
mapfe4mp | mapfe4mp-master/model/modules/backbones.py | import torch
from torch import nn
from model.utils.load_models import load_VGG_model
from model.modules.encoders import EncoderLSTM as Encoder
class VisualExtractor(nn.Module):
"""
In this class add all the visual extractors that will be used in the architecture.
Currently supporting:
- VGG{11, 13... | 8,260 | 35.553097 | 106 | py |
mapfe4mp | mapfe4mp-master/model/modules/attention.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Attention functions
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo, Miguel Eduardo Ortiz Huamaní and Marcos V. Conde
"""
# General purpose imports
import pdb
from typing import Optional, Tuple
# DL & Math imports
import numpy as np
import ... | 21,284 | 38.271218 | 136 | py |
mapfe4mp | mapfe4mp-master/model/modules/set_transformer.py | import math
import pdb
import torch
import torch.nn as nn
import torch.nn.functional as F
# Multi-Head Attention Block
# ln = layer normalization
class MAB(nn.Module):
def __init__(self, dim_Q, dim_K, dim_V, num_heads, do=0.1, ln=False):
super(MAB, self).__init__()
self.dim_V = dim_V
self.... | 2,519 | 33.054054 | 77 | py |
mapfe4mp | mapfe4mp-master/model/modules/decoders.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Decoder functions
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo, Miguel Eduardo Ortiz Huamaní and Marcos V. Conde
"""
# General purpose imports
import pdb
# DL & Math imports
import torch
from torch import nn
import torch.nn.functional as... | 11,456 | 39.059441 | 126 | py |
mapfe4mp | mapfe4mp-master/model/modules/encoders.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Encoder functions
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo, Miguel Eduardo Ortiz Huamaní and Marcos V. Conde
"""
# General purpose imports
import pdb
# DL & Math imports
import torch
from torch import nn
import torch.nn.functional as... | 6,147 | 40.261745 | 135 | py |
mapfe4mp | mapfe4mp-master/model/models/cghformer.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## CGHFormer
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import math
import numpy as np
import pdb
import time
import sys
# DL & Math imports
import torch
import torch.nn as nn
import torch.nn.functional as F... | 28,710 | 35.808974 | 148 | py |
mapfe4mp | mapfe4mp-master/model/models/mapfe4mp.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## MAPFE4MP: Map Features For Efficient Motion Prediction
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import math
import numpy as np
import pdb
import time
# DL & Math imports
import torch
import torch.nn as... | 36,019 | 39.111359 | 152 | py |
mapfe4mp | mapfe4mp-master/model/models/other/pv_lstm.py | ## STABLE
# import torch
# import torch.nn as nn
# import torch.nn.functional as F
# import torch.optim as optim
# import torchvision
# import torchvision.transforms as transforms
# import pdb
# # Variation of the PV_LSTM network with position decoder
# class TrajectoryGenerator(nn.Module):
# def __init__(self,... | 7,060 | 37.167568 | 123 | py |
mapfe4mp | mapfe4mp-master/model/models/other/sophie_mm.py | import os
import math
import random
import copy
import time
import numpy as np
import pdb
from model.datasets.argoverse.dataset import PHYSICAL_CONTEXT
from model.modules.attention import MultiHeadAttention
from model.modules.layers import Linear
import torch
import torch.nn as nn
import torch.nn.functional as F
fro... | 28,892 | 39.523142 | 128 | py |
mapfe4mp | mapfe4mp-master/model/models/other/social_lstm_mhsa.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## LSTM based Encoder-Decoder with Multi-Head Self Attention
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo, Miguel Eduardo Ortiz Huamaní and Marcos V. Conde
"""
# General purpose imports
from os import path
import pdb
import math
# DL & Math... | 10,282 | 40.800813 | 132 | py |
mapfe4mp | mapfe4mp-master/model/models/other/social_set_transformer_mm.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Argoverse dataset
"""
Created on Mon May 23 17:54:37 2022
@author: Miguel Eduardo Ortiz Huamaní, Marcos V. Conde and Carlos Gómez-Huélamo
"""
# General purpose imports
import random
import os
import time
from operator import itemgetter
import pdb
# DL & Math impo... | 4,013 | 36.166667 | 120 | py |
mapfe4mp | mapfe4mp-master/model/datasets/argoverse/data_augmentation_functions.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Data augmentation functions
"""
Created on Sun Mar 06 23:47:19 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import random
import math
import pdb
import copy
# DL & Math imports
import numpy as np
import torch
import cv2
from sklearn import li... | 4,810 | 29.257862 | 104 | py |
mapfe4mp | mapfe4mp-master/model/datasets/argoverse/dataset_utils.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Dataloader utils
"""
Created on Sun Mar 06 23:47:19 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import copy
import os
import csv
import glob, glob2
import pdb
import time
# DL & Math imports
import numpy as np
import torch
import cv2
import ... | 15,230 | 35.437799 | 133 | py |
mapfe4mp | mapfe4mp-master/model/datasets/argoverse/geometric_functions.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Geometric functions
"""
Created on Sun Mar 06 23:47:19 2022
@author: Carlos Gómez-Huélamo and Miguel Eduardo Ortiz Huamaní
"""
# General purpose imports
import random
import math
import pdb
import copy
# DL & Math imports
import numpy as np
import torch
import c... | 6,612 | 25.991837 | 141 | py |
mapfe4mp | mapfe4mp-master/model/datasets/argoverse/map_functions.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 7 12:33:19 2022
@author: Carlos Gómez-Huélamo and Miguel Eduardo Ortiz Huamaní
"""
# General purpose imports
import time
import pdb
import os
import git
import copy
from typing import Any, Dict, List, Tuple, Union
from shapely.geometry import L... | 52,957 | 36.399718 | 153 | py |
mapfe4mp | mapfe4mp-master/model/datasets/argoverse/dataset.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Argoverse dataset
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo and Miguel Eduardo Ortiz Huamaní
"""
# General purpose imports
import random
import math
import os
import time
import operator
import copy
import pdb
import sys
# DL & Math im... | 54,280 | 52.743564 | 173 | py |
mapfe4mp | mapfe4mp-master/model/datasets/argoverse/plot_functions.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Visualization functions
"""
Created on Sun Mar 06 23:47:19 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import pdb
import os
import time
from collections import defaultdict, OrderedDict
from typing import Dict
# DL & Math imports
import numpy... | 13,503 | 32.508685 | 120 | py |
mapfe4mp | mapfe4mp-master/model/datasets/argoverse/goal_points_functions.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Goal points functions
"""
Created on Sun Mar 06 23:47:19 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import random
import math
import pdb
import copy
import os
import time
# DL & Math imports
import numpy as np
import torch
import torchvisio... | 19,476 | 35.135436 | 136 | py |
mapfe4mp | mapfe4mp-master/model/utils/utils.py | import torch
import copy
import pdb
import numpy as np
import torch.nn as nn
# Model parameters functions
def create_weights(batch, vmin, vmax, w_len=30, w_type="linear"):
"""
"""
w = torch.ones(w_len)
if w_type == "linear":
w = torch.linspace(vmin, vmax, w_len)
elif w_type == "exponential... | 1,742 | 25.409091 | 65 | py |
mapfe4mp | mapfe4mp-master/model/utils/load_models.py | import torch
from torch import nn
import torchvision
import torchvision.models as models
def load_VGG_model(vgg_type=19, batch_norm=False, pretrained=True, features= True):
"""
vgg_type : {A, B, D, E}
Paper: Very Deep Convolutional Networks For Large-Scale Image Recognition
Trained on Imagenet
"""
... | 1,274 | 31.692308 | 86 | py |
mapfe4mp | mapfe4mp-master/model/utils/checkpoint_data.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Load checkpoint and generator
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import pdb
import os
import importlib
from collections import defaultdict
# DL & Math imports
import torch
#######################... | 4,298 | 31.568182 | 93 | py |
mapfe4mp | mapfe4mp-master/model/trainers/trainer_cghformer.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Trainer
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import gc
import os
import numpy as np
import pdb
import time
import copy
import importlib
# DL & Math imports
import torch
import torch.nn as nn
import t... | 65,880 | 42.979306 | 172 | py |
mapfe4mp | mapfe4mp-master/model/trainers/trainer_mapfe4mp.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Trainer
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import gc
import os
import numpy as np
import pdb
import time
import copy
# DL & Math imports
import torch
import torch.nn as nn
import torch.optim as opt... | 60,644 | 43.105455 | 172 | py |
mapfe4mp | mapfe4mp-master/model/trainers/other/trainer_pv_lstm.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Trainer LSTM based Encoder-Decoder Position-Velocity
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo and Miguel Eduardo Ortiz Huamaní
"""
# General purpose imports
import gc
import os
import numpy as np
import pdb
import time
import copy
# D... | 35,721 | 42.19468 | 151 | py |
mapfe4mp | mapfe4mp-master/model/trainers/other/trainer_social_set_transformer_mm.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Trainer Set Transformer Multimodal
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo and Miguel Eduardo Ortiz Huamaní
"""
# General purpose imports
import gc
import os
import numpy as np
import pdb
import time
import copy
# DL & Math imports
... | 25,929 | 39.326594 | 151 | py |
mapfe4mp | mapfe4mp-master/model/trainers/other/trainer_sophie_mm.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Trainer LSTM based Encoder-Decoder with Multi-Head Self Attention
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo
"""
# General purpose imports
import gc
import os
import numpy as np
import pdb
import time
import sys
import copy
# DL & Math ... | 51,779 | 43.637931 | 170 | py |
mapfe4mp | mapfe4mp-master/model/trainers/other/trainer_social_lstm_mhsa.py | #!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
## Trainer LSTM based Encoder-Decoder with Multi-Head Self Attention
"""
Created on Fri Feb 25 12:19:38 2022
@author: Carlos Gómez-Huélamo and Miguel Eduardo Ortiz Huamaní
"""
# General purpose imports
import gc
import os
import numpy as np
import pdb
import time
imp... | 36,686 | 42.468009 | 151 | py |
mapfe4mp | mapfe4mp-master/model/trainers/other/trainer_gan_social_lstm_mhsa.py | # Doc GANs: https://developers.google.com/machine-learning/gan
import argparse
import gc
import logging
import os
import sys
import time
import pdb
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
import torch.optim.lr_scheduler as lrs
from torc... | 30,927 | 40.347594 | 151 | py |
sam-hq | sam-hq-main/segment_anything/automatic_mask_generator.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torchvision.ops.boxes import batched_nms, box_area # type: ignore
from typing impor... | 15,354 | 39.946667 | 108 | py |
sam-hq | sam-hq-main/segment_anything/build_sam_baseline.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from functools import partial
from .modeling import ImageEncoderViT, MaskDecoder, PromptEncoder, Sam, TwoWa... | 4,702 | 29.147436 | 98 | py |
sam-hq | sam-hq-main/segment_anything/predictor.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from .modeling import Sam
from typing import Optional, Tuple
from .utils.transforms imp... | 11,935 | 42.090253 | 100 | py |
sam-hq | sam-hq-main/segment_anything/build_sam.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from functools import partial
from .modeling import ImageEncoderViT, MaskDecoderHQ, PromptEncoder, Sam, Two... | 5,324 | 30.696429 | 156 | py |
sam-hq | sam-hq-main/segment_anything/utils/onnx.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from torch.nn import functional as F
from typing import Tuple
from ..modeling import ... | 6,233 | 38.961538 | 139 | py |
sam-hq | sam-hq-main/segment_anything/utils/amg.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
import math
from copy import deepcopy
from itertools import product
from typing import An... | 12,712 | 35.636888 | 88 | py |
sam-hq | sam-hq-main/segment_anything/utils/transforms.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torch.nn import functional as F
from torchvision.transforms.functional import resize,... | 3,972 | 37.572816 | 99 | py |
sam-hq | sam-hq-main/segment_anything/modeling/mask_decoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import List, Tuple, Type
from .common... | 6,685 | 36.351955 | 123 | py |
sam-hq | sam-hq-main/segment_anything/modeling/mask_decoder_hq.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# Modified by HQ-SAM team
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import List,... | 9,784 | 40.995708 | 135 | py |
sam-hq | sam-hq-main/segment_anything/modeling/image_encoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Optional, Tuple, Type
from .common... | 14,549 | 35.466165 | 202 | py |
sam-hq | sam-hq-main/segment_anything/modeling/prompt_encoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torch import nn
from typing import Any, Optional, Tuple, Type
from .common import L... | 8,594 | 38.976744 | 97 | py |
sam-hq | sam-hq-main/segment_anything/modeling/tiny_vit_sam.py | # --------------------------------------------------------
# TinyViT Model Architecture
# Copyright (c) 2022 Microsoft
# Adapted from LeViT and Swin Transformer
# LeViT: (https://github.com/facebookresearch/levit)
# Swin: (https://github.com/microsoft/swin-transformer)
# Build the TinyViT Model
# ------------------... | 25,091 | 33.609655 | 122 | py |
sam-hq | sam-hq-main/segment_anything/modeling/transformer.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import Tensor, nn
import math
from typing import Tuple, Type
from .common import MLPBlock
clas... | 8,397 | 33.846473 | 89 | py |
sam-hq | sam-hq-main/segment_anything/modeling/common.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from typing import Type
class MLPBlock(nn.Module):
def __init__(
self,
... | 1,479 | 32.636364 | 136 | py |
sam-hq | sam-hq-main/segment_anything/modeling/sam.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import Any, Dict, List, Tuple
from .i... | 7,473 | 40.988764 | 113 | py |
sam-hq | sam-hq-main/scripts/export_onnx_model.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from segment_anything import sam_model_registry
from segment_anything.utils.onnx import SamOnnxModel
import... | 7,022 | 31.068493 | 121 | py |
sam-hq | sam-hq-main/train/train.py | # Copyright by HQ-SAM team
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import argparse
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from tor... | 30,634 | 43.079137 | 169 | py |
sam-hq | sam-hq-main/train/segment_anything_training/build_sam.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from functools import partial
from .modeling import ImageEncoderViT, MaskDecoder, PromptEncoder, Sam, TwoWa... | 2,929 | 26.12963 | 89 | py |
sam-hq | sam-hq-main/train/segment_anything_training/utils/transforms.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torch.nn import functional as F
from torchvision.transforms.functional import resize,... | 3,968 | 37.533981 | 99 | py |
sam-hq | sam-hq-main/train/segment_anything_training/modeling/mask_decoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import List, Tuple, Type
from .common... | 6,615 | 36.378531 | 123 | py |
sam-hq | sam-hq-main/train/segment_anything_training/modeling/image_encoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Optional, Tuple, Type
from .common... | 14,576 | 35.533835 | 202 | py |
sam-hq | sam-hq-main/train/segment_anything_training/modeling/prompt_encoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torch import nn
from typing import Any, Optional, Tuple, Type
from .common import L... | 8,594 | 38.976744 | 97 | py |
sam-hq | sam-hq-main/train/segment_anything_training/modeling/transformer.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import Tensor, nn
import math
from typing import Tuple, Type
from .common import MLPBlock
clas... | 8,396 | 33.842324 | 89 | py |
sam-hq | sam-hq-main/train/segment_anything_training/modeling/common.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from typing import Type
class MLPBlock(nn.Module):
def __init__(
self,
... | 1,479 | 32.636364 | 136 | py |
sam-hq | sam-hq-main/train/segment_anything_training/modeling/sam.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import Any, Dict, List, Tuple
from .i... | 7,540 | 40.20765 | 95 | py |
sam-hq | sam-hq-main/train/utils/dataloader.py | # Copyright by HQ-SAM team
# All rights reserved.
## data loader
from __future__ import print_function, division
import numpy as np
import random
from copy import deepcopy
from skimage import io
import os
from glob import glob
import torch
from torch.utils.data import Dataset, DataLoader, ConcatDataset
from torchvis... | 10,833 | 38.830882 | 151 | py |
sam-hq | sam-hq-main/train/utils/misc.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Misc functions, including distributed helpers.
Mostly copy-paste from torchvision references.
"""
import os
import random
import subprocess
import time
from collections import OrderedDict, defaultdict, deque
import datetime
import pickle
from ... | 17,694 | 31.951583 | 160 | py |
sam-hq | sam-hq-main/train/utils/loss_mask.py | import torch
from torch.nn import functional as F
from typing import List, Optional
import utils.misc as misc
def point_sample(input, point_coords, **kwargs):
"""
A wrapper around :function:`torch.nn.functional.grid_sample` to support 3D point_coords tensors.
Unlike :function:`torch.nn.functional.grid_samp... | 7,836 | 38.781726 | 100 | py |
sam-hq | sam-hq-main/demo/demo_sam.py | import numpy as np
import torch
import matplotlib.pyplot as plt
import cv2
from segment_anything import sam_model_registry_baseline, SamPredictor
import os
def show_mask(mask, ax, random_color=False):
if random_color:
color = np.concatenate([np.random.random(3), np.array([0.6])], axis=0)
else:
... | 5,002 | 38.085938 | 128 | py |
sam-hq | sam-hq-main/demo/demo_hqsam_light.py | import numpy as np
import torch
import matplotlib.pyplot as plt
import cv2
from segment_anything import sam_model_registry, SamPredictor
import os
def show_mask(mask, ax, random_color=False):
if random_color:
color = np.concatenate([np.random.random(3), np.array([0.6])], axis=0)
else:
color = n... | 5,089 | 35.099291 | 145 | py |
sam-hq | sam-hq-main/demo/demo_hqsam.py | import numpy as np
import torch
import matplotlib.pyplot as plt
import cv2
from segment_anything import sam_model_registry, SamPredictor
import os
def show_mask(mask, ax, random_color=False):
if random_color:
color = np.concatenate([np.random.random(3), np.array([0.6])], axis=0)
else:
color = n... | 5,729 | 37.716216 | 149 | py |
sam-hq | sam-hq-main/seginw/test_ap_on_seginw.py | # modified from https://github.com/IDEA-Research/GroundingDINO/blob/main/demo/test_ap_on_coco.py
import argparse
import os
import sys
import time
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader, DistributedSampler
from groundingdino.models import build_model
import grou... | 11,126 | 35.722772 | 128 | py |
sam-hq | sam-hq-main/seginw/segment_anything/automatic_mask_generator.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torchvision.ops.boxes import batched_nms, box_area # type: ignore
from typing impor... | 15,132 | 39.571046 | 92 | py |
sam-hq | sam-hq-main/seginw/segment_anything/predictor.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from .modeling import Sam
from typing import Optional, Tuple
from .utils.transforms imp... | 11,934 | 42.242754 | 100 | py |
sam-hq | sam-hq-main/seginw/segment_anything/build_sam.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from functools import partial
from .modeling import ImageEncoderViT, MaskDecoder, PromptEncoder, Sam, TwoWa... | 2,929 | 26.12963 | 89 | py |
sam-hq | sam-hq-main/seginw/segment_anything/build_sam_hq.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from functools import partial
from .modeling import ImageEncoderViT, MaskDecoderHQ, PromptEncoder, Sam, Two... | 3,290 | 28.123894 | 156 | py |
sam-hq | sam-hq-main/seginw/segment_anything/utils/onnx.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from torch.nn import functional as F
from typing import Tuple
from ..modeling import ... | 5,790 | 38.937931 | 100 | py |
sam-hq | sam-hq-main/seginw/segment_anything/utils/amg.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
import math
from copy import deepcopy
from itertools import product
from typing import An... | 12,711 | 35.634006 | 88 | py |
sam-hq | sam-hq-main/seginw/segment_anything/utils/transforms.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torch.nn import functional as F
from torchvision.transforms.functional import resize,... | 3,968 | 37.533981 | 99 | py |
sam-hq | sam-hq-main/seginw/segment_anything/modeling/mask_decoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import List, Tuple, Type
from .common... | 6,684 | 36.55618 | 123 | py |
sam-hq | sam-hq-main/seginw/segment_anything/modeling/mask_decoder_hq.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# Modified by HQ-SAM team
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import List,... | 9,783 | 41.172414 | 135 | py |
sam-hq | sam-hq-main/seginw/segment_anything/modeling/image_encoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Optional, Tuple, Type
from .common... | 14,548 | 35.555276 | 202 | py |
sam-hq | sam-hq-main/seginw/segment_anything/modeling/prompt_encoder.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from torch import nn
from typing import Any, Optional, Tuple, Type
from .common import L... | 8,594 | 38.976744 | 97 | py |
sam-hq | sam-hq-main/seginw/segment_anything/modeling/transformer.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import Tensor, nn
import math
from typing import Tuple, Type
from .common import MLPBlock
clas... | 8,396 | 33.842324 | 89 | py |
sam-hq | sam-hq-main/seginw/segment_anything/modeling/common.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from typing import Type
class MLPBlock(nn.Module):
def __init__(
self,
... | 1,479 | 32.636364 | 136 | py |
sam-hq | sam-hq-main/seginw/segment_anything/modeling/sam.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.nn import functional as F
from typing import Any, Dict, List, Tuple
from .i... | 7,225 | 40.291429 | 95 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/setup.py | # coding=utf-8
# Copyright 2022 The IDEA Authors. 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 b... | 7,646 | 34.239631 | 125 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/fuse_modules.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 11,825 | 38.684564 | 131 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/transformer_vanilla.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 4,020 | 31.427419 | 110 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/utils.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 10,087 | 36.501859 | 117 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 16,691 | 41.151515 | 117 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/transformer.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 36,805 | 37.339583 | 109 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/bertwarper.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 12,242 | 43.682482 | 213 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/ms_deform_attn.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 15,482 | 36.398551 | 108 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/backbone/swin_transformer.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 29,339 | 35.537983 | 139 | py |
sam-hq | sam-hq-main/seginw/GroundingDINO/groundingdino/models/GroundingDINO/backbone/position_encoding.py | # ------------------------------------------------------------------------
# Grounding DINO
# url: https://github.com/IDEA-Research/GroundingDINO
# Copyright (c) 2023 IDEA. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------... | 6,866 | 35.721925 | 110 | py |
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