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
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matscipy | matscipy-master/tests/test_eam_calculator_forces_and_hessian.py | #
# Copyright 2020-2021 Lars Pastewka (U. Freiburg)
# 2020 Jan Griesser (U. Freiburg)
# 2019-2020 Wolfram G. Nöhring (U. Freiburg)
#
# matscipy - Materials science with Python at the atomic-scale
# https://github.com/libAtoms/matscipy
#
# This program is free software: you can redistribute it and/or... | 9,568 | 39.205882 | 104 | py |
matscipy | matscipy-master/tests/test_committee.py | import os
import re
import copy
import pathlib
import pytest
import numpy as np
import ase.io
import ase.calculators.emt
import ase.calculators.lj
import matscipy.calculators.committee
@pytest.fixture
def committeemember():
member = matscipy.calculators.committee.CommitteeMember(calculator=ase.calculators.emt.E... | 9,666 | 42.940909 | 123 | py |
matscipy | matscipy-master/tests/test_crack.py | #
# Copyright 2020 James Kermode (Warwick U.)
# 2017, 2020 Lars Pastewka (U. Freiburg)
# 2016 Punit Patel (Warwick U.)
#
# matscipy - Materials science with Python at the atomic-scale
# https://github.com/libAtoms/matscipy
#
# This program is free software: you can redistribute it and/or modify
# it... | 9,096 | 39.07489 | 127 | py |
matscipy | matscipy-master/tests/manybody/manybody_fixtures.py | """Fixtures for Manybody potentials."""
import inspect
import pytest
import matscipy.calculators.manybody.potentials as potentials
import numpy as np
_classes = inspect.getmembers(potentials, inspect.isclass)
_impl_potentials = {
mother: [cls for _, cls in _classes if issubclass(cls, mother)]
for mother in (p... | 7,324 | 26.641509 | 84 | py |
matscipy | matscipy-master/tests/manybody/reference_params.py | Stillinger_Weber_PRB_31_5262_Si = {
'__ref__': 'F. Stillinger and T. Weber, Phys. Rev. B 31, 5262 (1985)',
'el': 'Si',
'epsilon': 2.1683,
'sigma': 2.0951,
'costheta0': 0.333333333333,
'A': 7.049556277,
'B': 0.6022245584,
'p': 4,
'q': 0,
'a': 1.80,
'lambda1': 21.0,
'gamma'... | 1,287 | 22 | 74 | py |
matscipy | matscipy-master/tests/manybody/test_manybody_potentials.py | """Tests for implementation of potentials and derivatives."""
import pytest
import numpy as np
import numpy.testing as nt
from types import SimpleNamespace
from manybody_fixtures import (
pair_potential,
three_body_potential,
has_sympy,
analytical_pair,
analytical_triplet,
FiniteDiff,
)
def ... | 3,254 | 26.584746 | 74 | py |
matscipy | matscipy-master/tests/manybody/test_newmb.py | #
# Copyright 2022 Lucas Frérot (U. Freiburg)
# 2022 Jan Griesser (U. Freiburg)
#
# matscipy - Materials science with Python at the atomic-scale
# https://github.com/libAtoms/matscipy
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licens... | 14,624 | 27.017241 | 80 | py |
matscipy | matscipy-master/tests/manybody/test_manybody_molecules.py | #
# Copyright 2022 Lucas Frérot (U. Freiburg)
#
# matscipy - Materials science with Python at the atomic-scale
# https://github.com/libAtoms/matscipy
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Founda... | 4,900 | 29.63125 | 78 | py |
matscipy | matscipy-master/tests/manybody/heterogeneous/polyphosphate.py | import pytest
import numpy as np
from ase.io import read
from ase.optimize import FIRE
from ase.calculators.mixing import SumCalculator
from ase.calculators.calculator import PropertyNotImplementedError
from matscipy.numerical import (numerical_forces, numerical_stress,
numerical_nonaff... | 6,260 | 27.589041 | 78 | py |
matscipy | matscipy-master/docs/conf.py | # -*- coding: utf-8 -*-
#
# matscipy documentation build configuration file, created by
# sphinx-quickstart on Sun May 17 16:40:20 2015.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# ... | 8,929 | 29.793103 | 83 | py |
DLBFoam-1.1_OF9 | DLBFoam-1.1_OF9/tutorials/reactingFoam/shearlayer_DLB/solve_buffer.py | import matplotlib.pyplot as plt
import numpy as np
import glob
import matplotlib
fig,ax = plt.subplots()
mean = 0
for rankid,rank in enumerate(sorted(glob.glob('processor*'))):
get_problem = []
update_state = []
balance = []
solve_buffer = []
unbalance = []
time = []
cpu_solve = open(ra... | 1,734 | 33.7 | 114 | py |
DLBFoam-1.1_OF9 | DLBFoam-1.1_OF9/tutorials/reactingFoam/shearlayer_DLB_pyJac/solve_buffer.py | import matplotlib.pyplot as plt
import numpy as np
import glob
import matplotlib
fig,ax = plt.subplots()
mean = 0
for rankid,rank in enumerate(sorted(glob.glob('processor*'))):
get_problem = []
update_state = []
balance = []
solve_buffer = []
unbalance = []
time = []
cpu_solve = open(ra... | 1,734 | 33.7 | 114 | py |
DLBFoam-1.1_OF9 | DLBFoam-1.1_OF9/tests/validation/pyjacTests/PSRTest/computeReferenceValues.py | # Note:
# - This python script computes reference results used in the OpenFOAM validation tests.
# - Cantera environment must be created to run this python script.
# - See https://cantera.org/index.html for further information
# - The utilised mechanism is a modified GRI30 to achieve thermodynamic consistency with op... | 1,669 | 32.4 | 106 | py |
EfficientDet | EfficientDet-master/inference.py | import cv2
import json
import numpy as np
import os
import time
import glob
from model import efficientdet
from utils import preprocess_image, postprocess_boxes
from utils.draw_boxes import draw_boxes
def main():
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
phi = 1
weighted_bifpn = True
model_path = 'ef... | 2,032 | 31.269841 | 105 | py |
EfficientDet | EfficientDet-master/inference_frozen_graph.py | import tensorflow as tf
import numpy as np
import cv2
import os
import time
from utils import preprocess_image
from tensorflow.python.platform import gfile
from utils.anchors import anchors_for_shape
from utils.draw_boxes import draw_boxes
from utils.post_process_boxes import post_process_boxes
def get_frozen_graph(... | 3,187 | 33.652174 | 109 | py |
EfficientDet | EfficientDet-master/initializers.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 1,177 | 27.731707 | 104 | py |
EfficientDet | EfficientDet-master/losses.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 7,520 | 39.005319 | 150 | py |
EfficientDet | EfficientDet-master/callbacks.py | from tensorflow.keras.callbacks import Callback
import tensorflow.keras.backend as K
import numpy as np
class CosineAnnealingScheduler(Callback):
def __init__(self, cycle_iterations, min_lr, t_mu=2, start_iteration=0):
self.iteration_id = 0
self.start_iteration = start_iteration
self.cycle... | 2,830 | 36.746667 | 104 | py |
EfficientDet | EfficientDet-master/efficientnet.py | # Copyright 2019 The TensorFlow Authors, Pavel Yakubovskiy, Björn Barz. 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... | 24,768 | 42.001736 | 109 | py |
EfficientDet | EfficientDet-master/setup.py | from distutils.core import setup
from Cython.Build import cythonize
import numpy
setup(
ext_modules=cythonize("utils/compute_overlap.pyx"),
include_dirs=[numpy.get_include()]
)
| 186 | 19.777778 | 55 | py |
EfficientDet | EfficientDet-master/model.py | from functools import reduce
# from keras import layers
# from keras import initializers
# from keras import models
# from keras_ import EfficientNetB0, EfficientNetB1, EfficientNetB2
# from keras_ import EfficientNetB3, EfficientNetB4, EfficientNetB5, EfficientNetB6
import tensorflow as tf
from tensorflow.keras impo... | 29,621 | 61.362105 | 125 | py |
EfficientDet | EfficientDet-master/layers.py | # import keras
from tensorflow import keras
import tensorflow as tf
class BatchNormalization(keras.layers.BatchNormalization):
"""
Identical to keras.layers.BatchNormalization, but adds the option to freeze parameters.
"""
def __init__(self, freeze, *args, **kwargs):
self.freeze = freeze
... | 14,393 | 36.978892 | 135 | py |
EfficientDet | EfficientDet-master/inference_quad.py | from model import efficientdet
import cv2
import os
import numpy as np
import time
from utils import preprocess_image
from utils.anchors import anchors_for_shape, AnchorParameters
import os.path as osp
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
phi = 3
weighted_bifpn = False
model_path = 'checkpoints/2020-02-20/csv_02_... | 5,103 | 44.981982 | 120 | py |
EfficientDet | EfficientDet-master/tfkeras.py | from utils import inject_tfkeras_modules, init_tfkeras_custom_objects
import efficientnet as model
EfficientNetB0 = inject_tfkeras_modules(model.EfficientNetB0)
EfficientNetB1 = inject_tfkeras_modules(model.EfficientNetB1)
EfficientNetB2 = inject_tfkeras_modules(model.EfficientNetB2)
EfficientNetB3 = inject_tfkeras_mo... | 694 | 42.4375 | 69 | py |
EfficientDet | EfficientDet-master/freeze_model.py | from model import efficientdet
import cv2
import os
import numpy as np
import time
from utils import preprocess_image
import tensorflow as tf
from tensorflow.keras import backend as K
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
def freeze_session(session, keep_var_names=None, output_names=None, clear_devices=True):
... | 2,011 | 38.45098 | 122 | py |
EfficientDet | EfficientDet-master/train.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 14,180 | 36.123037 | 120 | py |
EfficientDet | EfficientDet-master/inference_video.py | import cv2
import json
import numpy as np
import os
import time
import glob
from model import efficientdet
from utils import preprocess_image, postprocess_boxes
from utils.draw_boxes import draw_boxes
def main():
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
phi = 1
weighted_bifpn = True
model_path = 'd1... | 2,074 | 29.514706 | 105 | py |
EfficientDet | EfficientDet-master/keras_.py | from utils import inject_keras_modules, init_keras_custom_objects
import efficientnet as model
EfficientNetB0 = inject_keras_modules(model.EfficientNetB0)
EfficientNetB1 = inject_keras_modules(model.EfficientNetB1)
EfficientNetB2 = inject_keras_modules(model.EfficientNetB2)
EfficientNetB3 = inject_keras_modules(model.... | 670 | 40.9375 | 65 | py |
EfficientDet | EfficientDet-master/generators/common.py | import numpy as np
import random
import warnings
import cv2
from tensorflow import keras
from utils.anchors import anchors_for_shape, anchor_targets_bbox, AnchorParameters
class Generator(keras.utils.Sequence):
"""
Abstract generator class.
"""
def __init__(
self,
phi=0,
... | 18,975 | 38.045267 | 145 | py |
EfficientDet | EfficientDet-master/generators/pascal.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 9,220 | 31.814947 | 120 | py |
EfficientDet | EfficientDet-master/generators/csv_.py | """
Copyright 2017-2018 yhenon (https://github.com/yhenon/)
Copyright 2017-2018 Fizyr (https://fizyr.com)
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-... | 13,347 | 36.389356 | 131 | py |
EfficientDet | EfficientDet-master/generators/__init__.py | 0 | 0 | 0 | py | |
EfficientDet | EfficientDet-master/generators/coco.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 5,710 | 34.253086 | 211 | py |
EfficientDet | EfficientDet-master/eval/common.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 11,199 | 35.842105 | 118 | py |
EfficientDet | EfficientDet-master/eval/pascal.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 3,989 | 36.641509 | 118 | py |
EfficientDet | EfficientDet-master/eval/__init__.py | 0 | 0 | 0 | py | |
EfficientDet | EfficientDet-master/eval/coco.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 7,327 | 37.772487 | 117 | py |
EfficientDet | EfficientDet-master/augmentor/color.py | import numpy as np
from PIL import Image, ImageEnhance, ImageOps
def autocontrast(image, prob=0.5):
random_prob = np.random.uniform()
if random_prob > prob:
return image
image = Image.fromarray(image[..., ::-1])
image = ImageOps.autocontrast(image)
image = np.array(image)[..., ::-1]
re... | 5,921 | 32.083799 | 95 | py |
EfficientDet | EfficientDet-master/augmentor/transform.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 16,261 | 30.034351 | 137 | py |
EfficientDet | EfficientDet-master/augmentor/misc.py | import cv2
import numpy as np
from augmentor.transform import translation_xy, change_transform_origin, scaling_xy
from utils import reorder_vertexes
def rotate(image, annotations, prob=0.5, border_value=(128, 128, 128)):
assert 'bboxes' in annotations, 'annotations should contain bboxes even if it is empty'
... | 11,766 | 43.57197 | 116 | py |
EfficientDet | EfficientDet-master/augmentor/__init__.py | 0 | 0 | 0 | py | |
EfficientDet | EfficientDet-master/utils/anchors.py | # import keras
import numpy as np
from tensorflow import keras
from utils.compute_overlap import compute_overlap
class AnchorParameters:
"""
The parameters that define how anchors are generated.
Args
sizes : List of sizes to use. Each size corresponds to one feature level.
strides : List... | 13,034 | 35.615169 | 119 | py |
EfficientDet | EfficientDet-master/utils/visualization.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 4,112 | 37.439252 | 136 | py |
EfficientDet | EfficientDet-master/utils/image.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 11,667 | 30.281501 | 137 | py |
EfficientDet | EfficientDet-master/utils/draw_boxes.py | import cv2
def draw_boxes(image, boxes, scores, labels, colors, classes):
for b, l, s in zip(boxes, labels, scores):
class_id = int(l)
class_name = classes[class_id]
xmin, ymin, xmax, ymax = list(map(int, b))
score = '{:.4f}'.format(s)
color = colors[class_id]
... | 712 | 38.611111 | 103 | py |
EfficientDet | EfficientDet-master/utils/transform.py | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in w... | 10,565 | 32.01875 | 117 | py |
EfficientDet | EfficientDet-master/utils/__init__.py | # Copyright 2019 The TensorFlow Authors, Pavel Yakubovskiy. 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 ... | 5,843 | 30.934426 | 83 | py |
EfficientDet | EfficientDet-master/utils/colors.py | import warnings
def label_color(label):
""" Return a color from a set of predefined colors. Contains 80 colors in total.
Args
label: The label to get the color for.
Returns
A list of three values representing a RGB color.
If no color is defined for a certain label, the color gre... | 2,656 | 22.513274 | 115 | py |
MNC | MNC-master/tools/test_net.py | #!/usr/bin/env python
# --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# ---------------------------------------... | 2,755 | 31.423529 | 81 | py |
MNC | MNC-master/tools/_init_paths.py |
import os.path
import sys
"""
Add lib paths and caffe path to system search path
"""
def add_path(path):
if path not in sys.path:
sys.path.insert(0, path)
cur_dir = os.path.dirname(__file__)
# Add caffe python to PYTHONPATH
caffe_path = os.path.join(cur_dir, '..', 'caffe-mnc', 'python')
add_path(caffe... | 417 | 17.173913 | 63 | py |
MNC | MNC-master/tools/demo.py | #!/usr/bin/python
# --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# -------------------------------------------... | 7,538 | 38.265625 | 93 | py |
MNC | MNC-master/tools/prepare_mcg_maskdb.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
# System modules
import argparse
import os
import cPickle
i... | 11,222 | 42 | 118 | py |
MNC | MNC-master/tools/train_net.py | #!/usr/bin/env python
# --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# ---------------------------------------... | 3,331 | 32.656566 | 78 | py |
MNC | MNC-master/lib/mnc_config.py |
"""MNC config system
"""
import numpy as np
import os.path
from easydict import EasyDict as edict
__C = edict()
cfg = __C
# MNC/CFM mode
__C.MNC_MODE = True
__C.CFM_MODE = False
__C.EXP_DIR = 'default'
__C.USE_GPU_NMS = True
__C.GPU_ID = 0
__C.RNG_SEED = 3
__C.EPS = 1e-14
__C.PIXEL_MEANS = np.array([[[102.9801, 115... | 6,958 | 32.618357 | 91 | py |
MNC | MNC-master/lib/setup.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 6,247 | 36.413174 | 90 | py |
MNC | MNC-master/lib/db/roidb.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 6,862 | 37.55618 | 112 | py |
MNC | MNC-master/lib/db/imdb.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
from... | 970 | 32.482759 | 88 | py |
MNC | MNC-master/lib/db/__init__.py | 0 | 0 | 0 | py | |
MNC | MNC-master/lib/db/maskdb.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
from mnc_config import cfg
from db.imdb import get_imdb
d... | 1,162 | 29.605263 | 71 | py |
MNC | MNC-master/lib/datasets/pascal_voc.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 3,522 | 27.642276 | 77 | py |
MNC | MNC-master/lib/datasets/pascal_voc_det.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 13,855 | 42.435737 | 134 | py |
MNC | MNC-master/lib/datasets/__init__.py | 0 | 0 | 0 | py | |
MNC | MNC-master/lib/datasets/pascal_voc_seg.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import cPickle
import os
import scipy.io as sio
import nump... | 10,828 | 46.28821 | 116 | py |
MNC | MNC-master/lib/caffeWrapper/TesterWrapper.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 21,633 | 51.13012 | 123 | py |
MNC | MNC-master/lib/caffeWrapper/__init__.py | 0 | 0 | 0 | py | |
MNC | MNC-master/lib/caffeWrapper/SolverWrapper.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
imp... | 6,147 | 43.230216 | 103 | py |
MNC | MNC-master/lib/pylayer/proposal_layer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 10,386 | 43.965368 | 121 | py |
MNC | MNC-master/lib/pylayer/mnc_data_layer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 5,826 | 37.589404 | 103 | py |
MNC | MNC-master/lib/pylayer/proposal_target_layer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 9,255 | 41.654378 | 97 | py |
MNC | MNC-master/lib/pylayer/mask_layer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import caffe
import cv2
import numpy as np
from transform.m... | 3,988 | 37.728155 | 124 | py |
MNC | MNC-master/lib/pylayer/stage_bridge_layer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import caffe
import numpy as np
import yaml
from transform.... | 11,685 | 44.648438 | 112 | py |
MNC | MNC-master/lib/pylayer/anchor_target_layer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 9,757 | 40.879828 | 94 | py |
MNC | MNC-master/lib/pylayer/cfm_data_layer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import cv2
import yaml
import scipy
import numpy as np
impo... | 11,892 | 44.39313 | 122 | py |
MNC | MNC-master/lib/pylayer/__init__.py | 0 | 0 | 0 | py | |
MNC | MNC-master/lib/utils/timer.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 1,016 | 28.911765 | 77 | py |
MNC | MNC-master/lib/utils/voc_eval.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 13,824 | 34.088832 | 124 | py |
MNC | MNC-master/lib/utils/blob.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
"""B... | 3,732 | 33.564815 | 77 | py |
MNC | MNC-master/lib/utils/unmap.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 745 | 31.434783 | 77 | py |
MNC | MNC-master/lib/utils/__init__.py | 0 | 0 | 0 | py | |
MNC | MNC-master/lib/utils/vis_seg.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import numpy as np
import cPickle
import os
import cv2
from... | 5,842 | 38.47973 | 104 | py |
MNC | MNC-master/lib/transform/anchors.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 3,927 | 28.533835 | 78 | py |
MNC | MNC-master/lib/transform/bbox_transform.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 6,973 | 33.186275 | 97 | py |
MNC | MNC-master/lib/transform/__init__.py | 0 | 0 | 0 | py | |
MNC | MNC-master/lib/transform/mask_transform.py | # --------------------------------------------------------
# Multitask Network Cascade
# Written by Haozhi Qi
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import numpy as np
import cv2
from mnc_config import cfg
fr... | 11,105 | 37.696864 | 138 | py |
MNC | MNC-master/lib/nms/py_cpu_nms.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
impo... | 1,118 | 27.692308 | 77 | py |
MNC | MNC-master/lib/nms/nms_wrapper.py | # --------------------------------------------------------
# Multitask Network Cascade
# Modified from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# Copyright (c) 2016, Haozhi Qi
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
from... | 2,332 | 31.402778 | 77 | py |
MNC | MNC-master/lib/nms/__init__.py | 0 | 0 | 0 | py | |
ContextsFair | ContextsFair-main/compute_results.py | import numpy as np
# from collections import defaultdict
if __name__ == '__main__':
datasets = ['Yelp', 'Gowalla']
samplings = [100]
models = ['GeoSoCa', 'LORE', 'CF', 'PFM']
top_n = [5, 10, 20]
for dataset in datasets:
for sampling in samplings:
for model in models:
... | 2,888 | 59.1875 | 209 | py |
flowseq | flowseq-master/flownmt/utils.py | import logging
import sys
from typing import Tuple, List
import torch
from torch._six import inf
def get_logger(name, level=logging.INFO, handler=sys.stdout,
formatter='%(asctime)s - %(name)s - %(levelname)s - %(message)s'):
logger = logging.getLogger(name)
logger.setLevel(logging.INFO)
for... | 7,058 | 30.513393 | 108 | py |
flowseq | flowseq-master/flownmt/flownmt.py | import os
import json
import math
from typing import Dict, Tuple
import torch
import torch.nn as nn
import torch.distributed as dist
from apex.parallel import DistributedDataParallel
from apex.parallel.distributed import flat_dist_call
from flownmt.modules import Encoder
from flownmt.modules import Posterior
from flow... | 29,121 | 44.432137 | 154 | py |
flowseq | flowseq-master/flownmt/__init__.py | from flownmt.flownmt import FlowNMT
| 37 | 11.666667 | 35 | py |
flowseq | flowseq-master/flownmt/modules/__init__.py | from flownmt.modules.encoders import *
from flownmt.modules.posteriors import *
from flownmt.modules.decoders import *
from flownmt.modules.priors import *
| 156 | 30.4 | 40 | py |
flowseq | flowseq-master/flownmt/modules/decoders/simple.py | from overrides import overrides
from typing import Dict, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from flownmt.modules.decoders.decoder import Decoder
from flownmt.nnet.attention import GlobalAttention
class SimpleDecoder(Decoder):
"""
Simple Decoder to predict translations fr... | 3,347 | 33.875 | 138 | py |
flowseq | flowseq-master/flownmt/modules/decoders/transformer.py | from overrides import overrides
from typing import Dict, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from flownmt.modules.decoders.decoder import Decoder
from flownmt.nnet.attention import MultiHeadAttention
from flownmt.nnet.transformer import TransformerDecoderLayer
from flownmt.nnet.pos... | 3,889 | 35.018519 | 138 | py |
flowseq | flowseq-master/flownmt/modules/decoders/decoder.py | from typing import Dict, Tuple
import torch
import torch.nn as nn
from flownmt.nnet.criterion import LabelSmoothedCrossEntropyLoss
class Decoder(nn.Module):
"""
Decoder to predict translations from latent z
"""
_registry = dict()
def __init__(self, vocab_size, latent_dim, label_smoothing=0., _sh... | 2,946 | 30.351064 | 138 | py |
flowseq | flowseq-master/flownmt/modules/decoders/__init__.py | from flownmt.modules.decoders.decoder import Decoder
from flownmt.modules.decoders.simple import SimpleDecoder
from flownmt.modules.decoders.rnn import RecurrentDecoder
from flownmt.modules.decoders.transformer import TransformerDecoder
| 237 | 46.6 | 67 | py |
flowseq | flowseq-master/flownmt/modules/decoders/rnn.py | from overrides import overrides
from typing import Dict, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
from flownmt.modules.decoders.decoder import Decoder
from flownmt.nnet.attention import GlobalAttention
class Recu... | 4,558 | 36.368852 | 138 | py |
flowseq | flowseq-master/flownmt/modules/priors/prior.py | import math
from typing import Dict, Tuple, Union
import torch
import torch.nn as nn
from flownmt.flows.nmt import NMTFlow
from flownmt.modules.priors.length_predictors import LengthPredictor
class Prior(nn.Module):
"""
class for Prior with a NMTFlow inside
"""
_registry = dict()
def __init__(se... | 9,219 | 41.293578 | 186 | py |
flowseq | flowseq-master/flownmt/modules/priors/__init__.py | from flownmt.modules.priors.prior import Prior
from flownmt.modules.priors.length_predictors import *
| 102 | 33.333333 | 54 | py |
flowseq | flowseq-master/flownmt/modules/priors/length_predictors/diff_softmax.py | from overrides import overrides
from typing import Dict, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from flownmt.modules.priors.length_predictors.predictor import LengthPredictor
from flownmt.nnet.criterion import LabelSmoothedCrossEntropyLoss
class DiffSoftMaxLengthPredictor(LengthPred... | 4,818 | 38.178862 | 120 | py |
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