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
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saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/singleframe/data/ColorChecker.py | import os
from typing import Tuple
import cv2
import scipy.io
import torch
from src.classes.tasks.ccc.core.DatasetCCC import DatasetCCC
# ------------------------------------------------------------------------------------------
from src.functional.image_processing import hwc_to_chw, linear_to_nonlinear, bgr_to_rgb, ... | 2,711 | 33.329114 | 98 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/core/TrainerCCC.py | import os
from typing import Dict
import pandas as pd
from torch.utils.data import DataLoader
from src.auxiliary.settings import DEFAULT_METRICS_FILE
from src.classes.core.Trainer import Trainer
from src.classes.tasks.ccc.core.MetricsTrackerCCC import MetricsTrackerCCC
from src.classes.tasks.ccc.core.ModelCCC import ... | 2,507 | 46.320755 | 115 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/core/NetworkCCCFactory.py | from torch import nn
from src.classes.tasks.ccc.multiframe.modules.saliency_tccnet.modules.AttTCCNet import AttTCCNet
from src.classes.tasks.ccc.multiframe.modules.saliency_tccnet.modules.ConfAttTCCNet import ConfAttTCCNet
from src.classes.tasks.ccc.multiframe.modules.saliency_tccnet.modules.ConfTCCNet import ConfTCCN... | 1,028 | 40.16 | 118 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/core/TesterCCC.py | import os
from typing import Dict
import numpy as np
import pandas as pd
from torch import Tensor
from torch.utils.data import DataLoader
from src.auxiliary.settings import DEFAULT_METRICS_FILE
from src.classes.core.Model import Model
from src.classes.core.Tester import Tester
from src.classes.tasks.ccc.core.MetricsT... | 2,022 | 37.169811 | 109 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/core/DatasetCCC.py | from abc import ABC
import numpy as np
import torch.utils.data as data
from src.auxiliary.settings import PATH_TO_DATASET
from src.classes.tasks.ccc.core.DataAugmenter import DataAugmenter
class DatasetCCC(data.Dataset, ABC):
def __init__(self, train: bool = True, fold_num: int = 0, augment: bool = True):
... | 630 | 27.681818 | 84 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/saliency_tccnet/modules/AttTCCNet.py | from typing import Tuple
import torch
from torch import Tensor
from src.auxiliary.utils import overloads
from src.classes.tasks.ccc.multiframe.modules.saliency_tccnet.core.SaliencyTCCNet import SaliencyTCCNet
from src.classes.tasks.ccc.submodules.attention.SpatialAttention import SpatialAttention
from src.classes.tas... | 2,364 | 44.480769 | 105 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/saliency_tccnet/modules/ConfTCCNet.py | from abc import ABC
from typing import Tuple
import torch
import torch.nn.functional as F
from torch import Tensor
from torch.nn.functional import normalize
from src.auxiliary.utils import overloads
from src.classes.tasks.ccc.multiframe.modules.saliency_tccnet.core.SaliencyTCCNet import SaliencyTCCNet
from src.classe... | 3,045 | 39.613333 | 104 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/saliency_tccnet/modules/ConfAttTCCNet.py | from typing import Tuple
import torch
from torch import Tensor
from src.auxiliary.utils import overloads
from src.classes.tasks.ccc.multiframe.modules.saliency_tccnet.core.SaliencyTCCNet import SaliencyTCCNet
from src.classes.tasks.ccc.singleframe.fc4.FC4 import FC4
from src.classes.tasks.ccc.submodules.attention.Tem... | 2,449 | 44.37037 | 105 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/saliency_tccnet/core/SaliencyTCCNet.py | from abc import ABC, abstractmethod
from typing import Tuple, Union
import torch
from torch import Tensor
from torch.nn.functional import normalize
from src.auxiliary.utils import overload
from src.classes.tasks.ccc.multiframe.modules.tccnet.TCCNet import TCCNet
from src.functional.error_handling import check_sal_dim... | 3,843 | 35.264151 | 117 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/saliency_tccnet/core/ModelSaliencyTCCNet.py | from typing import Union, Tuple
from torch import Tensor
from src.classes.tasks.ccc.core.ModelCCC import ModelCCC
from src.classes.tasks.ccc.core.NetworkCCCFactory import NetworkCCCFactory
from src.functional.error_handling import check_sal_type_support, check_sal_dim_support
class ModelSaliencyTCCNet(ModelCCC):
... | 931 | 37.833333 | 103 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/saliency_tccnet/core/TesterSaliencyTCCNet.py | import csv
import os
from typing import Tuple
import numpy as np
from torch import Tensor
from torch.utils.data import DataLoader
from src.classes.core.Model import Model
from src.classes.tasks.ccc.multiframe.core.TesterTCCNet import TesterTCCNet
from src.functional.error_handling import check_sal_dim_support
class... | 3,120 | 44.231884 | 118 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/tccnet/TCCNet.py | from abc import ABC
from typing import Tuple
import torch
from torch import nn, Tensor
from torch.nn.functional import normalize
from src.auxiliary.settings import DEVICE
from src.auxiliary.utils import overload
from src.classes.eval.ers.core.EMultiSWModule import EMultiSWModule
from src.classes.tasks.ccc.submodules.... | 2,829 | 40.617647 | 100 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/modules/tccnet/ModelTCCNet.py | from torch import Tensor
from src.classes.tasks.ccc.core.ModelCCC import ModelCCC
from src.classes.tasks.ccc.core.NetworkCCCFactory import NetworkCCCFactory
class ModelTCCNet(ModelCCC):
def __init__(self, hidden_size: int, kernel_size: int):
super().__init__()
network = NetworkCCCFactory().get("... | 517 | 31.375 | 82 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/core/TesterTCCNet.py | import os
from torch.utils.data import DataLoader
from src.classes.core.Model import Model
from src.classes.tasks.ccc.core.TesterCCC import TesterCCC
class TesterTCCNet(TesterCCC):
def __init__(self, path_to_log: str, log_frequency: int, save_pred: bool):
super().__init__(path_to_log, log_frequency, sa... | 984 | 32.965517 | 91 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/core/TrainerTCCNet.py | import os
from torch.utils.data import DataLoader
from src.classes.tasks.ccc.core.ModelCCC import ModelCCC
from src.classes.tasks.ccc.core.TrainerCCC import TrainerCCC
class TrainerTCCNet(TrainerCCC):
def __init__(self, path_to_log: str, val_frequency: int = 5):
super().__init__(path_to_log, val_frequen... | 1,315 | 42.866667 | 112 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/data/DataHandlerTCC.py | from multiprocessing import cpu_count
from typing import Tuple
from torch.utils.data import DataLoader
from src.classes.tasks.ccc.multiframe.data.TCC import TCC
from src.classes.tasks.ccc.multiframe.data.TemporalDataset import TemporalDataset
class DataHandlerTCC:
def __init__(self):
self._dataset = TCC... | 1,214 | 39.5 | 104 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/multiframe/data/TemporalDataset.py | from typing import Tuple
import numpy as np
import torch
from src.classes.tasks.ccc.core.DatasetCCC import DatasetCCC
from src.classes.tasks.ccc.multiframe.data.TemporalDataAugmenter import TemporalDataAugmenter
from src.functional.image_processing import hwc_to_chw, linear_to_nonlinear, bgr_to_rgb, normalize
class... | 2,100 | 38.641509 | 115 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/submodules/squeezenet/Fire.py | import torch
import torch.nn as nn
from torch import Tensor
class Fire(nn.Module):
def __init__(self, inplanes: int, squeeze_planes: int, expand1x1_planes: int, expand3x3_planes: int):
super(Fire, self).__init__()
self.inplanes = inplanes
self.squeeze = nn.Conv2d(inplanes, squeeze_planes,... | 933 | 41.454545 | 105 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/submodules/squeezenet/SqueezeNetLoader.py | import os
from torch.utils import model_zoo
from src.classes.tasks.ccc.submodules.squeezenet.SqueezeNet import SqueezeNet
model_urls = {
1.0: 'https://download.pytorch.org/models/squeezenet1_0-a815701f.pth',
1.1: 'https://download.pytorch.org/models/squeezenet1_1-f364aa15.pth',
}
class SqueezeNetLoader:
... | 994 | 33.310345 | 88 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/submodules/squeezenet/SqueezeNet.py | import torch
import torch.nn as nn
import torch.nn.init as init
from src.classes.tasks.ccc.submodules.squeezenet.Fire import Fire
"""
This is the standard SqueezeNet implementation included in PyTorch at:
https://github.com/pytorch/vision/blob/072d8b2280569a2d13b91d3ed51546d201a57366/torchvision/models/squeezenet.py... | 3,246 | 38.120482 | 140 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/submodules/conv_lstm/ConvLSTMCell.py | from typing import Tuple
import torch
import torch.nn as nn
from torch import Tensor
from torch.autograd import Variable
from src.auxiliary.settings import DEVICE
class ConvLSTMCell(nn.Module):
def __init__(self, input_channels, hidden_channels, kernel_size):
super().__init__()
self.device = D... | 2,488 | 45.092593 | 119 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/submodules/conv_lstm/ConvLSTM.py | from typing import Tuple
import torch.nn as nn
from torch import Tensor
from ConvLSTMCell import ConvLSTMCell
"""
A multi-layer convolutional LSTM module based on: https://arxiv.org/abs/1506.04214,
"Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting"
"""
class ConvLSTM(nn.Module)... | 2,194 | 32.769231 | 102 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/submodules/attention/SpatialAttention.py | from torch import nn, Tensor
class SpatialAttention(nn.Module):
def __init__(self, input_size: int):
super().__init__()
self.conv1 = nn.Sequential(
nn.Conv2d(input_size, input_size // 2, kernel_size=(3, 3), stride=(1, 1), padding=1),
nn.BatchNorm2d(input_size // 2),
... | 963 | 29.125 | 102 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/tasks/ccc/submodules/attention/TemporalAttention.py | import torch
from torch import nn, Tensor
class TemporalAttention(nn.Module):
def __init__(self, features_size: int = 512, hidden_size: int = 128):
super().__init__()
self.phi_x = nn.Linear(features_size, 1, bias=False)
self.phi_h = nn.Linear(hidden_size, 1, bias=False)
self.softm... | 1,487 | 40.333333 | 97 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/MSELoss.py | import torch
from torch import Tensor
from src.classes.core.Loss import Loss
from src.functional.image_processing import scale
class MSELoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
self.__mse_loss = torch.nn.MSELoss(size_average=None, reduce=None, reduction='sum'... | 468 | 30.266667 | 108 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/KLDivLoss.py | import torch
from torch import Tensor
from src.classes.core.Loss import Loss
class KLDivLoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
self.__kl_loss = torch.nn.KLDivLoss(size_average=None, reduce=None, reduction='sum').to(self._device)
def _compute(self, a1: ... | 412 | 28.5 | 109 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/BCELoss.py | import torch
from torch import Tensor
from src.classes.core.Loss import Loss
class BCELoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
self.__bce_loss = torch.nn.BCELoss().to(self._device)
def _compute(self, a1: Tensor, a2: Tensor) -> Tensor:
return self... | 370 | 25.5 | 68 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/BlockSparsityLoss.py | import torch
from torch import Tensor
from torch.linalg import norm
from torch.nn.functional import unfold
from src.classes.core.Loss import Loss
""" https://www.sciencedirect.com/science/article/abs/pii/S1077314218301954 """
class BlockSparsityLoss(Loss):
def __init__(self, device: torch.device):
super... | 1,029 | 40.2 | 120 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/AngularLoss.py | import math
import torch
from torch import Tensor
from torch.nn.functional import normalize
from src.classes.core.Loss import Loss
class AngularLoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
def _compute(self, pred: Tensor, label: Tensor, safe_v: float = 0.999999) ->... | 543 | 27.631579 | 110 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/StructComplLoss.py | from typing import Dict
import torch
from torch import Tensor
from src.classes.core.Loss import Loss
from src.classes.losses.BCELoss import BCELoss
from src.classes.losses.ComplLoss import ComplLoss
from src.classes.losses.IoULoss import IoULoss
from src.classes.losses.SSIMLoss import SSIMLoss
"""
Inspired by the l... | 1,433 | 32.348837 | 113 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/IoULoss.py | import torch
from torch import Tensor
from src.classes.core.Loss import Loss
class IoULoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
def _compute(self, a1: Tensor, a2: Tensor) -> Tensor:
a1, a2 = a1.int(), a2.int()
intersection = (a1 & a2).float().sum(... | 499 | 30.25 | 90 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/TotalVariationLoss.py | import torch
from torch import Tensor
from src.classes.core.Loss import Loss
class TotalVariationLoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
def _compute(self, x: Tensor) -> Tensor:
"""
Computes the total variation regularization (anisotropic versio... | 787 | 36.52381 | 119 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/ComplLoss.py | import torch
from torch import Tensor
from torch import linalg as LA
from src.classes.core.Loss import Loss
class ComplLoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
def _compute(self, img1: Tensor, img2: Tensor) -> Tensor:
one = torch.ones_like(img1).to(self.... | 447 | 27 | 62 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/classes/losses/SSIMLoss.py | import torch
from pytorch_msssim import SSIM
from torch import Tensor
from src.classes.core.Loss import Loss
from src.functional.image_processing import scale
""" https://github.com/VainF/pytorch-msssim """
class SSIMLoss(Loss):
def __init__(self, device: torch.device):
super().__init__(device)
... | 519 | 27.888889 | 86 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/auxiliary/utils.py | import argparse
import functools
import gc
import json
import os
import random
import re
import numpy as np
import torch
SEPARATOR = {"stars": "".join(["*"] * 100), "dashes": "".join(["-"] * 100), "dots": "".join(["."] * 100)}
def get_device(device_type: str) -> torch.device:
if device_type == "cpu":
pr... | 2,244 | 27.782051 | 116 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/functional/vis.py | import os
from math import floor
import matplotlib.pyplot as plt
import seaborn
import torch
import torch.nn.functional as F
from torch import Tensor
from torchvision.transforms import transforms
from src.functional.image_processing import chw_to_hwc, correct, resample, scale
from src.functional.metrics import angula... | 5,004 | 37.5 | 114 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/functional/utils.py | import os
import numpy as np
import torch
from torch import Tensor, softmax
from src.auxiliary.settings import DEVICE
def rand_uniform(x: Tensor, apply_softmax=True) -> Tensor:
x = torch.rand(size=x.shape, device=DEVICE, requires_grad=True)
return softmax(x, dim=0) if apply_softmax else x
def load_from_fi... | 475 | 25.444444 | 67 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/functional/image_processing.py | from typing import Union, Tuple
import numpy as np
import torch
import torchvision.transforms.functional as F
from PIL.Image import Image
from torch import Tensor
from torch.nn.functional import interpolate
from src.auxiliary.settings import DEVICE
def correct(img: Image, illuminant: Tensor) -> Image:
"""
C... | 3,866 | 36.182692 | 115 | py |
saliency-faithfulness-eval | saliency-faithfulness-eval-main/src/functional/metrics.py | import math
from typing import List, Dict
import numpy as np
import torch
from pytorch_msssim import SSIM
from scipy.spatial.distance import jensenshannon
from scipy.stats import entropy
from torch import Tensor
from torch import linalg as LA
from torch.nn.functional import interpolate, binary_cross_entropy
from src.... | 3,324 | 36.359551 | 113 | py |
prose | prose-main/prose/blocks/centroids.py | import warnings
from os import path
import numpy as np
from astropy.utils.exceptions import AstropyUserWarning
from photutils.centroids import (
centroid_2dg,
centroid_com,
centroid_quadratic,
centroid_sources,
)
from prose import CONFIG, Block
from .geometry import Cutouts
__all__ = [
"Centroid... | 8,794 | 31.216117 | 86 | py |
prose | prose-main/prose/blocks/psf.py | import numpy as np
from prose import Block, Image
try:
from jax.config import config
config.update("jax_enable_x64", True)
import jax
import jax.numpy as jnp
from jaxopt import ScipyMinimize
except ModuleNotFoundError:
pass
from astropy.stats import gaussian_sigma_to_fwhm
from scipy.optimize... | 14,031 | 30.674944 | 89 | py |
prose | prose-main/tests/test_blocks.py | import inspect
import sys
import numpy as np
import pytest
from prose import Block, Sequence, blocks, example_image
from prose.blocks.centroids import _PhotutilsCentroid
from prose.blocks.detection import _SourceDetection
from prose.blocks.psf import _PSFModelBase
image = blocks.PointSourceDetection()(example_image(... | 6,153 | 24.325103 | 88 | py |
prose | prose-main/docs/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 4,847 | 26.083799 | 99 | py |
experiment-impact-tracker | experiment-impact-tracker-master/examples/my_experiment.py | import sys
import tempfile
import torch
from experiment_impact_tracker.compute_tracker import ImpactTracker
class Experiment:
def __init__(self):
device = torch.device("cpu")
# device = torch.device('cuda') # Uncomment this to run on GPU
# N is batch size; D_in is input dimension;
... | 2,236 | 30.507042 | 122 | py |
experiment-impact-tracker | experiment-impact-tracker-master/tests/test_relative_validity.py | # Code in file tensor/two_layer_net_tensor.py
import tempfile
import torch
from experiment_impact_tracker.compute_tracker import ImpactTracker
from experiment_impact_tracker.cpu.intel import is_intel_compatible
from experiment_impact_tracker.data_interface import DataInterface
def _helper_function(epochs=50):
... | 2,349 | 30.333333 | 97 | py |
experiment-impact-tracker | experiment-impact-tracker-master/tests/test_context.py | # Code in file tensor/two_layer_net_tensor.py
import tempfile
import torch
from experiment_impact_tracker.compute_tracker import ImpactTracker
from experiment_impact_tracker.cpu.intel import is_intel_compatible
from experiment_impact_tracker.data_interface import DataInterface
def _helper_function(epochs=50):
... | 3,180 | 29.883495 | 97 | py |
experiment-impact-tracker | experiment-impact-tracker-master/tests/test_powercap.py | # Code in file tensor/two_layer_net_tensor.py
import time
import torch
from experiment_impact_tracker.cpu.powercap import (PowerGadget,
is_powercap_compatible)
def _helper_function():
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
#... | 1,793 | 30.473684 | 85 | py |
experiment-impact-tracker | experiment-impact-tracker-master/tests/scripts/myapp.py | # code from pytorch tutorials
# https://github.com/pytorch/tutorials/blob/master/beginner_source/examples_tensor/two_layer_net_tensor.py
import os
import sys
import tempfile
import torch
from experiment_impact_tracker.compute_tracker import ImpactTracker
def train(
d: str = "cpu",
log_dir: str = tempfile.mk... | 2,019 | 26.297297 | 106 | py |
MLGeometry | MLGeometry-master/training/bihomoNN_train.py | import os
#os.environ['CUDA_VISIBLE_DEVICES'] = '0'
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import sys
sys.path.append("..")
import tensorflow as tf
import tensorflow_probability as tfp
import tensorflow.python.keras.backend as K
import numpy as np
import sympy as sp
import time
import math
import argparse
import ML... | 14,566 | 41.223188 | 213 | py |
MLGeometry | MLGeometry-master/training/models.py | import tensorflow as tf
from MLGeometry import bihomoNN as bnn
__all__ = ['zerolayer', 'onelayer', 'twolayers', 'threelayers', 'fourlayers',
'fivelayers','OuterProductNN_k2','OuterProductNN_k3','OuterProductNN_k4',
'k2_twolayers', 'k2_threelayers','k4_onelayer','k4_twolayers']
class zerolayer(... | 7,376 | 30.935065 | 84 | py |
MLGeometry | MLGeometry-master/MLGeometry/lbfgs.py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Distributed under terms of the MIT license.
"""An example of using tfp.optimizer.lbfgs_minimize to optimize a TensorFlow model.
This code shows a naive way to wrap a tf.keras.Model and optimize it with the L-BFGS
optimizer from TensorFlow Probability... | 4,925 | 33.93617 | 128 | py |
MLGeometry | MLGeometry-master/MLGeometry/loss.py | import tensorflow as tf
import tensorflow.python.keras.backend as K
__all__ = ['weighted_MAPE','weighted_MSE','max_error','MAPE_plus_max_error']
def weighted_MAPE(y_true, y_pred, mass):
weights = mass / K.sum(mass)
return K.sum(K.abs(y_true - y_pred) / y_true * weights)
def weighted_MSE(y_true, y_pred, mass)... | 647 | 31.4 | 82 | py |
MLGeometry | MLGeometry-master/MLGeometry/bihomoNN.py | from tensorflow import keras
from tensorflow.python.keras import activations
import numpy as np
import tensorflow as tf
__all__ = ['Bihomogeneous','Bihomogeneous_k2','Bihomogeneous_k3',
'Bihomogeneous_k4','Dense','WidthOneDense']
class Bihomogeneous(keras.layers.Layer):
'''A layer transform zi to zi*z... | 5,441 | 40.227273 | 106 | py |
UniControl | UniControl-main/tool_add_control_sd21.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 1,744 | 27.606557 | 98 | py |
UniControl | UniControl-main/dataset_eval.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
'''
import json
import cv2
import numpy as np
from torch.utils.data import Dataset
from an... | 4,014 | 39.555556 | 591 | py |
UniControl | UniControl-main/inference_demo.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
'''
import torch
import pytorch_lightning as pl
from pytorch_lightning import seed_everythin... | 5,862 | 41.485507 | 239 | py |
UniControl | UniControl-main/train_unicontrol.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
'''
from share import *
from torch.utils.data.dataset import ConcatDataset
import pytorch_l... | 3,019 | 40.369863 | 234 | py |
UniControl | UniControl-main/tool_add_control.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 1,744 | 27.606557 | 98 | py |
UniControl | UniControl-main/cldm/hack.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 3,929 | 31.213115 | 100 | py |
UniControl | UniControl-main/cldm/cldm_unicontrol_v11.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 27,744 | 44.859504 | 584 | py |
UniControl | UniControl-main/cldm/ddim_hacked.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 16,796 | 50.210366 | 136 | py |
UniControl | UniControl-main/cldm/model.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 1,198 | 29.74359 | 98 | py |
UniControl | UniControl-main/cldm/logger.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 5,004 | 40.02459 | 105 | py |
UniControl | UniControl-main/cldm/cldm.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 19,342 | 42.369955 | 135 | py |
UniControl | UniControl-main/cldm/cldm_unicontrol.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 27,425 | 44.332231 | 584 | py |
UniControl | UniControl-main/cldm/ddim_unicontrol_hacked.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 17,819 | 49.769231 | 136 | py |
UniControl | UniControl-main/annotator/midas/utils.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 4,944 | 23.725 | 98 | py |
UniControl | UniControl-main/annotator/midas/api.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 5,905 | 31.097826 | 126 | py |
UniControl | UniControl-main/annotator/midas/__init__.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 1,842 | 33.773585 | 98 | py |
UniControl | UniControl-main/annotator/midas/midas/base_model.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 729 | 26.037037 | 98 | py |
UniControl | UniControl-main/annotator/midas/midas/midas_net.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 3,071 | 34.310345 | 130 | py |
UniControl | UniControl-main/annotator/midas/midas/vit.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 14,987 | 28.856574 | 98 | py |
UniControl | UniControl-main/annotator/midas/midas/dpt_depth.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 3,516 | 28.308333 | 98 | py |
UniControl | UniControl-main/annotator/midas/midas/midas_net_custom.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 5,569 | 39.362319 | 168 | py |
UniControl | UniControl-main/annotator/midas/midas/blocks.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 9,604 | 26.209632 | 150 | py |
UniControl | UniControl-main/annotator/mlsd/utils.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 24,411 | 40.306261 | 150 | py |
UniControl | UniControl-main/annotator/mlsd/__init__.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 1,907 | 34.333333 | 119 | py |
UniControl | UniControl-main/annotator/mlsd/models/mbv2_mlsd_tiny.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 9,542 | 32.484211 | 107 | py |
UniControl | UniControl-main/annotator/mlsd/models/mbv2_mlsd_large.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 10,040 | 32.248344 | 107 | py |
UniControl | UniControl-main/annotator/hed/__init__.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 4,841 | 44.252336 | 149 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmcv_custom/checkpoint.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 19,570 | 37.224609 | 110 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/apis/inference.py | import matplotlib.pyplot as plt
import annotator.uniformer.mmcv as mmcv
import torch
from annotator.uniformer.mmcv.parallel import collate, scatter
from annotator.uniformer.mmcv.runner import load_checkpoint
from annotator.uniformer.mmseg.datasets.pipelines import Compose
from annotator.uniformer.mmseg.models import b... | 4,729 | 33.525547 | 79 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/apis/test.py | import os.path as osp
import pickle
import shutil
import tempfile
import annotator.uniformer.mmcv as mmcv
import numpy as np
import torch
import torch.distributed as dist
from annotator.uniformer.mmcv.image import tensor2imgs
from annotator.uniformer.mmcv.runner import get_dist_info
def np2tmp(array, temp_file_name=... | 8,288 | 33.682008 | 79 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/apis/train.py | import random
import warnings
import numpy as np
import torch
from annotator.uniformer.mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from annotator.uniformer.mmcv.runner import build_optimizer, build_runner
from annotator.uniformer.mmseg.core import DistEvalHook, EvalHook
from annotator.uniformer.mms... | 4,035 | 33.495726 | 87 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/core/evaluation/metrics.py | from collections import OrderedDict
import annotator.uniformer.mmcv as mmcv
import numpy as np
import torch
def f_score(precision, recall, beta=1):
"""calcuate the f-score value.
Args:
precision (float | torch.Tensor): The precision value.
recall (float | torch.Tensor): The recall value.
... | 13,079 | 39 | 79 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/core/seg/sampler/ohem_pixel_sampler.py | import torch
import torch.nn.functional as F
from ..builder import PIXEL_SAMPLERS
from .base_pixel_sampler import BasePixelSampler
@PIXEL_SAMPLERS.register_module()
class OHEMPixelSampler(BasePixelSampler):
"""Online Hard Example Mining Sampler for segmentation.
Args:
context (nn.Module): The contex... | 3,155 | 39.987013 | 103 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/necks/multilevel_neck.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 2,933 | 34.349398 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/necks/fpn.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 9,638 | 41.84 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/fcn_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 3,296 | 34.074468 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/sep_aspp_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 4,006 | 34.149123 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/ann_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 9,673 | 36.496124 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/apc_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 6,051 | 34.391813 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/ocr_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 4,798 | 33.278571 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/dm_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 5,483 | 34.843137 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/ema_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 6,275 | 33.674033 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/da_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 6,064 | 30.753927 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/psp_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 3,831 | 32.614035 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/cc_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 1,782 | 31.418182 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/enc_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 7,263 | 35.32 | 98 | py |
UniControl | UniControl-main/annotator/uniformer_base/mmseg/models/decode_heads/fpn_head.py | '''
* Copyright (c) 2023 Salesforce, Inc.
* All rights reserved.
* SPDX-License-Identifier: Apache License 2.0
* For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
* By Can Qin
* Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
* Copyright (c) 2... | 2,901 | 34.82716 | 98 | py |
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