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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MENET | MENET-master/light/configuration.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/configuration.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import argparse
parser = argparse.ArgumentParser()
# Model specification
parser.add_argument("--in_channel", type... | 5,050 | 44.918182 | 157 | py |
MENET | MENET-master/light/vgg19.py | import inspect
import os
import time
import numpy as np
import tensorflow as tf
# VGG_MEAN = [103.939, 116.779, 123.68]
class Vgg19:
def __init__(self, vgg19_npy_path=None):
if vgg19_npy_path is None:
path = inspect.getfile(Vgg19)
path = os.path.abspath(os.path.join(path, os.par... | 4,400 | 35.675 | 120 | py |
MENET | MENET-master/light/net.py | # -*- coding: utf-8 -*-
# @File : MENET/net.py
# @Info : @ TSMC-SIGGRAPH, 2019/8/10
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
from configuration import cfg
from template import menet_shallow_new, menet_shallow_new_ca
from template import menet_shallow_new_edge... | 2,110 | 54.552632 | 130 | py |
MENET | MENET-master/light/data_helper.py | # -*- coding: utf-8 -*-
# @File : derain_gradnorm_tf/data_helper.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
from random import shuffle
import h5py
import numpy as np
from configuration import cfg
# from matplotlib imp... | 1,905 | 30.766667 | 118 | py |
MENET | MENET-master/light/train.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/train.py
# @Info : @ TSMC-SIGGRAPH, 2019/8/10
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import os
import numpy as np
import tensorflow as tf
from configuration import cfg
from data_helper import get_batch
from... | 2,689 | 40.384615 | 121 | py |
MENET | MENET-master/light/template/menet_shallow_new_edge_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
cla... | 2,524 | 39.725806 | 104 | py |
MENET | MENET-master/light/template/menet_shallow_new_ca.py | # -*- coding: utf-8 -*-
# @File : light/net_shallow_new_ca.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc : deep model (16 residual blocks), spatial pyramid attention
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from template import net_base
cl... | 2,722 | 42.222222 | 146 | py |
MENET | MENET-master/light/template/menet_shallow_new_edge_gram_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
# from v... | 4,430 | 47.163043 | 105 | py |
MENET | MENET-master/light/template/menet_deep_new_ca_edge_gram_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_deep_new_ca
cl... | 4,887 | 53.311111 | 145 | py |
MENET | MENET-master/light/template/menet_deep_new_ca_edge_gram_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_deep_new_ca
... | 5,208 | 48.141509 | 145 | py |
MENET | MENET-master/light/template/menet_shallow_new_edge_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_edge_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
cla... | 2,278 | 41.203704 | 104 | py |
MENET | MENET-master/light/template/menet_shallow_new_vgg_fixed.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_vgg_fixed.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
from vgg19 i... | 1,288 | 35.828571 | 93 | py |
MENET | MENET-master/light/template/menet_shallow_new_ca_edge_gram_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new_ca... | 5,223 | 48.283019 | 145 | py |
MENET | MENET-master/light/template/net_base.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_base.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
class ModelBase(object):
def __init__(self, mode):
... | 6,054 | 38.575163 | 122 | py |
MENET | MENET-master/light/template/menet_shallow_new.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc : deep model (16 residual blocks), spatial pyramid attention
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from template import net_base
cla... | 3,896 | 49.61039 | 161 | py |
MENET | MENET-master/light/template/menet_deep_new_ca.py | # -*- coding: utf-8 -*-
# @File : light/net_shallow_new_ca.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc : deep model (16 residual blocks), spatial pyramid attention
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from template import net_base
cl... | 2,718 | 42.15873 | 146 | py |
MENET | MENET-master/light/template/menet_shallow_new_ca_edge_gram_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new_ca
... | 4,902 | 53.477778 | 145 | py |
MENET | MENET-master/light/template/menet_shallow_new_edge_fixed.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_edge_fixed.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
class Mod... | 1,244 | 36.727273 | 96 | py |
MENET | MENET-master/light/template/menet_shallow_new_edge_gram_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_color_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/26
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
# from ... | 4,115 | 49.814815 | 105 | py |
MENET | MENET-master/light/utils/inference_wrapper.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/inference_wrapper.py
# @Info : @ TSMC-SIGGRAPH, 2018/7/12
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
from net import Model
from utils import inference_wrapper_base
class InferenceWrapper(inference_wrapper_base... | 1,225 | 29.65 | 81 | py |
MENET | MENET-master/light/utils/inference_wrapper_base.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/inference_wrapper_base.py
# @Info : @ TSMC-SIGGRAPH, 2018/7/12
# @Desc : refer to google's im2txt
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import os.path
import tensorflow as tf
# pylint: disable=unused-argument
cl... | 3,683 | 37.375 | 88 | py |
MENET | MENET-master/light/utils/__init__.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/__init__.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
| 202 | 24.375 | 81 | py |
MENET | MENET-master/light/utils/transforms.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/transforms.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc : @ sumihui : refer to pytorch
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import numpy as np
from PIL import Image
class Compose(object):
"""Composes several... | 5,204 | 33.932886 | 106 | py |
MENET | MENET-master/heavy/inference.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/inference.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/30
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import os
from datetime import datetime
import cv2
import numpy as np
import tensorflow as tf
from configuration impo... | 2,444 | 37.809524 | 119 | py |
MENET | MENET-master/heavy/build_h5_dataset.py | # -*- coding: utf-8 -*-
# @File : derain_gradnorm_tf/build_h5_dataset.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import os
from random import shuffle
import h5py
import numpy as np
from PIL import Image
from configura... | 4,172 | 42.926316 | 127 | py |
MENET | MENET-master/heavy/validation.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/validation.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/30
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import os
import platform
from datetime import datetime
from time import time
import numpy as np
import tensorflow ... | 2,654 | 31.777778 | 114 | py |
MENET | MENET-master/heavy/configuration.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/configuration.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import argparse
parser = argparse.ArgumentParser()
# Model specification
parser.add_argument("--in_channel", type... | 5,050 | 44.918182 | 157 | py |
MENET | MENET-master/heavy/vgg19.py | import inspect
import os
import time
import numpy as np
import tensorflow as tf
# VGG_MEAN = [103.939, 116.779, 123.68]
class Vgg19:
def __init__(self, vgg19_npy_path=None):
if vgg19_npy_path is None:
path = inspect.getfile(Vgg19)
path = os.path.abspath(os.path.join(path, os.par... | 4,400 | 35.675 | 120 | py |
MENET | MENET-master/heavy/net.py | # -*- coding: utf-8 -*-
# @File : MENET/net.py
# @Info : @ TSMC-SIGGRAPH, 2019/8/10
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
from configuration import cfg
from template import menet_shallow_new, menet_shallow_new_ca
from template import menet_shallow_new_edge... | 2,110 | 54.552632 | 130 | py |
MENET | MENET-master/heavy/data_helper.py | # -*- coding: utf-8 -*-
# @File : derain_gradnorm_tf/data_helper.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
from random import shuffle
import h5py
import numpy as np
from configuration import cfg
# from matplotlib imp... | 1,977 | 31.42623 | 118 | py |
MENET | MENET-master/heavy/train.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/train.py
# @Info : @ TSMC-SIGGRAPH, 2019/8/10
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import os
import numpy as np
import tensorflow as tf
from configuration import cfg
from data_helper import get_batch
from... | 2,689 | 40.384615 | 121 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_edge_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
cla... | 2,524 | 39.725806 | 104 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_ca.py | # -*- coding: utf-8 -*-
# @File : light/net_shallow_new_ca.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc : deep model (16 residual blocks), spatial pyramid attention
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from template import net_base
cl... | 2,722 | 42.222222 | 146 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_edge_gram_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
# from v... | 4,430 | 47.163043 | 105 | py |
MENET | MENET-master/heavy/template/menet_deep_new_ca_edge_gram_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_deep_new_ca
cl... | 4,887 | 53.311111 | 145 | py |
MENET | MENET-master/heavy/template/menet_deep_new_ca_edge_gram_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_deep_new_ca
... | 5,208 | 48.141509 | 145 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_edge_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_edge_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
cla... | 2,278 | 41.203704 | 104 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_vgg_fixed.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_vgg_fixed.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
from vgg19 i... | 1,288 | 35.828571 | 93 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_ca_edge_gram_gradbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_gradbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new_ca... | 5,223 | 48.283019 | 145 | py |
MENET | MENET-master/heavy/template/net_base.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_base.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
class ModelBase(object):
def __init__(self, mode):
... | 6,054 | 38.575163 | 122 | py |
MENET | MENET-master/heavy/template/menet_shallow_new.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc : deep model (16 residual blocks), spatial pyramid attention
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from template import net_base
cla... | 3,896 | 49.61039 | 161 | py |
MENET | MENET-master/heavy/template/menet_deep_new_ca.py | # -*- coding: utf-8 -*-
# @File : light/net_shallow_new_ca.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/13
# @Desc : deep model (16 residual blocks), spatial pyramid attention
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from template import net_base
cl... | 2,718 | 42.15873 | 146 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_ca_edge_gram_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_spa_edge_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new_ca
... | 4,902 | 53.477778 | 145 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_edge_fixed.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_shallow_edge_fixed.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/15
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
class Mod... | 1,244 | 36.727273 | 96 | py |
MENET | MENET-master/heavy/template/menet_shallow_new_edge_gram_lossbalance.py | # -*- coding: utf-8 -*-
# @File : derain_feqe_tf/net_deep_color_lossbalance.py
# @Info : @ TSMC-SIGGRAPH, 2019/11/26
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import tensorflow as tf
from configuration import cfg
from template import menet_shallow_new
# from ... | 4,115 | 49.814815 | 105 | py |
MENET | MENET-master/heavy/utils/inference_wrapper.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/inference_wrapper.py
# @Info : @ TSMC-SIGGRAPH, 2018/7/12
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
from net import Model
from utils import inference_wrapper_base
class InferenceWrapper(inference_wrapper_base... | 1,225 | 29.65 | 81 | py |
MENET | MENET-master/heavy/utils/inference_wrapper_base.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/inference_wrapper_base.py
# @Info : @ TSMC-SIGGRAPH, 2018/7/12
# @Desc : refer to google's im2txt
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import os.path
import tensorflow as tf
# pylint: disable=unused-argument
cl... | 3,683 | 37.375 | 88 | py |
MENET | MENET-master/heavy/utils/__init__.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/__init__.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc :
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
| 202 | 24.375 | 81 | py |
MENET | MENET-master/heavy/utils/transforms.py | # -*- coding: utf-8 -*-
# @File : derain_wgan_tf/transforms.py
# @Info : @ TSMC-SIGGRAPH, 2019/5/29
# @Desc : @ sumihui : refer to pytorch
# -.-.. - ... -- -.-. .-.. .- -... .---. -.-- ..- .-.. --- -. --. ..-. .- -.
import numpy as np
from PIL import Image
class Compose(object):
"""Composes several... | 5,204 | 33.932886 | 106 | py |
dMod | dMod-master/PEtabTests/0007/0007.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 7
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.DataF... | 1,785 | 24.15493 | 78 | py |
dMod | dMod-master/PEtabTests/0009/0009.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 9
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['preeq_c0', 'c0'],
'k1': [0.3, 0.8],
}).set_index([CONDITI... | 2,008 | 25.786667 | 78 | py |
dMod | dMod-master/PEtabTests/0016/0016.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 16
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.Data... | 1,784 | 24.140845 | 78 | py |
dMod | dMod-master/PEtabTests/0008/0008.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 8
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.DataF... | 1,756 | 24.838235 | 78 | py |
dMod | dMod-master/PEtabTests/0015/0015.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 15
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.Data... | 1,807 | 25.202899 | 78 | py |
dMod | dMod-master/PEtabTests/0014/0014.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 14
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.Data... | 1,819 | 25.376812 | 78 | py |
dMod | dMod-master/PEtabTests/0005/0005.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 5
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0', 'c1'],
'offset_A': ['offset_A_c0', 'offset_A_c1'],
}... | 1,888 | 25.985714 | 78 | py |
dMod | dMod-master/PEtabTests/0010/0010.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 10
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['preeq_c0', 'c0'],
'k1': [0.3, 0.8],
'B': [0, 0],
}).... | 1,981 | 25.078947 | 78 | py |
dMod | dMod-master/PEtabTests/0004/0004.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 4
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.DataF... | 1,797 | 25.441176 | 78 | py |
dMod | dMod-master/PEtabTests/0012/0012.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 12
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
'compartment': [3],
}).set_index([CONDITION_ID])
... | 1,876 | 25.43662 | 78 | py |
dMod | dMod-master/PEtabTests/0011/0011.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 11
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
'B': [2]
}).set_index([CONDITION_ID])
measurement... | 1,782 | 24.471429 | 78 | py |
dMod | dMod-master/PEtabTests/0002/0002.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 2
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0', 'c1'],
'a0': [0.8, 0.9]
}).set_index([CONDITION_ID])... | 1,882 | 25.521127 | 78 | py |
dMod | dMod-master/PEtabTests/0001/0001.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 1
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.DataF... | 1,732 | 24.485294 | 78 | py |
dMod | dMod-master/PEtabTests/0003/0003.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 3
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.DataF... | 1,875 | 25.8 | 78 | py |
dMod | dMod-master/PEtabTests/0006/0006.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 6
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
}).set_index([CONDITION_ID])
measurement_df = pd.DataF... | 1,811 | 25.26087 | 78 | py |
dMod | dMod-master/PEtabTests/0013/0013.py | from petabtests import *
from petab.C import *
import petab
import pandas as pd
test_id = 13
# problem --------------------------------------------------------------------
model = DEFAULT_MODEL_FILE
condition_df = pd.DataFrame(data={
CONDITION_ID: ['c0'],
'B': ['par'],
}).set_index([CONDITION_ID])
measur... | 1,934 | 25.875 | 78 | py |
dMod | dMod-master/inst/code/readData.py | # Author: Benjamin Merkt, Physikalisches Institut, Universitaet Freiburg
import csv
import sys
import sympy as spy
#from sympy.parsing.sympy_parser import parse_expr
from sympy.parsing.sympy_tokenize import tokenize
# try/except necessary for R interface (imports automatically and does not find other files)
try:
f... | 5,411 | 25.271845 | 95 | py |
dMod | dMod-master/inst/code/AlyssaPetit_ver1.1.py | # AlyssaPetit version 1.1
# Use with python 3.x
import numpy
import sympy
from sympy import Matrix, simplify, expand, solve
from numpy import shape, zeros, concatenate
from numpy.linalg import matrix_rank
from sympy.parsing.sympy_parser import parse_expr
from sympy.matrices import *
from sympy.matrices import matrix_m... | 39,483 | 35.491682 | 176 | py |
dMod | dMod-master/inst/code/functions_obs.py |
from sympy import *
from sympy.parsing.sympy_parser import parse_expr
try:
import readline
readlineAvailable = True
except:
readlineAvailable = False
var('epsilon')
var('t')
#returns a matrix of base vectors of the null space given a matrix in rref
#the base vectors are in the columns of the matrix
def nullSpac... | 1,562 | 23.421875 | 74 | py |
dMod | dMod-master/inst/code/functions.py | # Author: Benjamin Merkt, Physikalisches Institut, Universitaet Freiburg
import sys
import time
import numpy as np
import sympy as spy
from sympy.parsing.sympy_parser import parse_expr
# try/except necessary for R interface (imports automatically and does not find other files)
try:
from polyClass import *
except:
... | 12,635 | 26.832599 | 121 | py |
dMod | dMod-master/inst/code/sbmlAmiciDmod.py | #!/usr/bin/env python3
#
# (c) INCOME Hackathon 2018, Bernried, Daniel^2
#
import sys
import numpy as np
import json
try:
import amici.sbml_import
except:
from amici import sbml_import
def symengineMatrixToNumpy(x, astype='float'):
return np.array(x).reshape(x.shape).astype(astype)
def getModelJSON(sbml_... | 1,730 | 28.844828 | 110 | py |
dMod | dMod-master/inst/code/AlyssaPetit_ver1.0.py | # AlyssaPetit version 1.0
# Use with python 3.x
import numpy
import sympy
from sympy import Matrix, simplify, expand, solve
from numpy import shape, zeros, concatenate
from numpy.linalg import matrix_rank
from sympy.parsing.sympy_parser import parse_expr
from sympy.matrices import *
from sympy.matrices import matrix_m... | 38,516 | 34.963585 | 176 | py |
dMod | dMod-master/inst/code/checkPredictions.py | # Author: Benjamin Merkt, Physikalisches Institut, Universitaet Freiburg
import sys
import sympy as spy
# try/except necessary for R interface (imports automatically and does not find other files)
try:
from functions import extension_str
except:
pass
def checkPredictions(predictions, predFunctions, infisAll, allV... | 2,982 | 31.78022 | 92 | py |
dMod | dMod-master/inst/code/extendObservation.py | from sympy import *
from sympy.parsing.sympy_parser import *
from sympy.parsing.sympy_tokenize import *
def getObservation(observation, variables, stoichiometry, flows, conserved):
m = len(variables)
inversion = [0]*m
stoichiometry = Matrix(len(stoichiometry)/m,m,stoichiometry)
stoichiometry = stoichiometry.trans... | 4,017 | 27.7 | 99 | py |
dMod | dMod-master/inst/code/polyClass.py | # Author: Benjamin Merkt, Physikalisches Institut, Universitaet Freiburg
import sympy as spy
import numpy as np
from copy import deepcopy
### efficient class for polynomial calculations
class Apoly:
def __init__(self, expr, variables, rs):
if expr is None:
self.coefs = []
self.exps = []
self.vars = varia... | 3,831 | 27.176471 | 98 | py |
dMod | dMod-master/inst/code/buildSystem.py | # Author: Benjamin Merkt, Physikalisches Institut, Universitaet Freiburg
import sys
import sympy as spy
import numpy as np
from multiprocessing import Queue, Queue, Process
# try/except necessary for R interface (imports automatically and does not find other files)
try:
from functions import *
from polyClass impo... | 5,837 | 30.728261 | 112 | py |
dMod | dMod-master/inst/code/quasiSteadyStates.py | from sympy import *
from numpy import concatenate
from numpy.linalg import matrix_rank
from sympy.parsing.sympy_parser import *
import csv
def SolveSymbLES(A,b):
dim=shape(A)[0]
Asave=A[:]
Asave=Matrix(dim, dim, Asave)
determinant=Asave.det()
if(determinant==0):
return([])
result=[]
... | 9,482 | 30.929293 | 165 | py |
dMod | dMod-master/inst/code/symmetryDetection.py | # Author: Benjamin Merkt, Physikalisches Institut, Universitaet Freiburg
# Version: 0.11
import sys
import argparse
import time
import sympy as spy
import scipy.linalg
# try/except necessary for R interface which imports automatically after loading
try:
from readData import *
from functions import *
from buildSys... | 12,218 | 32.476712 | 160 | py |
ARFlow | ARFlow-master/inference.py | import imageio
import argparse
import numpy as np
import matplotlib.pyplot as plt
import torch
from easydict import EasyDict
from torchvision import transforms
from transforms import sep_transforms
from utils.flow_utils import flow_to_image, resize_flow
from utils.torch_utils import restore_model
from models.pwclite ... | 2,310 | 29.813333 | 90 | py |
ARFlow | ARFlow-master/logger.py | import logging
import logging.config
import logging.handlers
from path import Path
def init_logger(level='INFO', log_dir='./', log_name='main_logger', filename='main.log'):
logger = logging.getLogger(log_name)
fh = logging.handlers.RotatingFileHandler(
Path(log_dir) / filename, 'w', 20 * 1024 * 1024... | 860 | 29.75 | 89 | py |
ARFlow | ARFlow-master/basic_train.py | import torch
from utils.torch_utils import init_seed
from datasets.get_dataset import get_dataset
from models.get_model import get_model
from losses.get_loss import get_loss
from trainer.get_trainer import get_trainer
def main(cfg, _log):
init_seed(cfg.seed)
_log.info("=> fetching img pairs.")
train_set... | 1,854 | 34.673077 | 80 | py |
ARFlow | ARFlow-master/train.py | import json
import pprint
import datetime
import argparse
from path import Path
from easydict import EasyDict
import basic_train
from logger import init_logger
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-c', '--config', default='configs/sintel_ft.json')
parser.add_... | 1,418 | 27.38 | 81 | py |
ARFlow | ARFlow-master/trainer/base_trainer.py | import torch
import numpy as np
from abc import abstractmethod
from tensorboardX import SummaryWriter
from utils.torch_utils import bias_parameters, weight_parameters, \
load_checkpoint, save_checkpoint, AdamW
class BaseTrainer:
"""
Base class for all trainers
"""
def __init__(self, train_loader,... | 4,244 | 34.672269 | 83 | py |
ARFlow | ARFlow-master/trainer/kitti_trainer_ar.py | import time
import torch
import numpy as np
from copy import deepcopy
from .base_trainer import BaseTrainer
from utils.flow_utils import load_flow, evaluate_flow
from utils.misc_utils import AverageMeter
from transforms.ar_transforms.sp_transfroms import RandomAffineFlow
from transforms.ar_transforms.oc_transforms impo... | 8,755 | 40.49763 | 91 | py |
ARFlow | ARFlow-master/trainer/sintel_trainer.py | import time
import torch
from .base_trainer import BaseTrainer
from utils.flow_utils import evaluate_flow
from utils.misc_utils import AverageMeter
class TrainFramework(BaseTrainer):
def __init__(self, train_loader, valid_loader, model, loss_func,
_log, save_root, config):
super(TrainFram... | 5,445 | 37.9 | 89 | py |
ARFlow | ARFlow-master/trainer/kitti_trainer.py | import time
import torch
import numpy as np
from .base_trainer import BaseTrainer
from utils.flow_utils import load_flow, evaluate_flow
from utils.misc_utils import AverageMeter
class TrainFramework(BaseTrainer):
def __init__(self, train_loader, valid_loader, model, loss_func,
_log, save_root, co... | 5,884 | 38.496644 | 89 | py |
ARFlow | ARFlow-master/trainer/sintel_trainer_ar.py | import time
import torch
from copy import deepcopy
from .base_trainer import BaseTrainer
from utils.flow_utils import evaluate_flow
from utils.misc_utils import AverageMeter
from transforms.ar_transforms.sp_transfroms import RandomAffineFlow
from transforms.ar_transforms.oc_transforms import run_slic_pt, random_crop
... | 8,316 | 40.173267 | 91 | py |
ARFlow | ARFlow-master/trainer/get_trainer.py | from . import sintel_trainer, sintel_trainer_ar
from . import kitti_trainer, kitti_trainer_ar
def get_trainer(name):
if name == 'Sintel':
TrainFramework = sintel_trainer.TrainFramework
elif name == 'Sintel_AR':
TrainFramework = sintel_trainer_ar.TrainFramework
elif name == 'KITTI':
... | 530 | 28.5 | 57 | py |
ARFlow | ARFlow-master/models/pwclite.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from utils.warp_utils import flow_warp
from .correlation_package.correlation import Correlation
# from .correlation_native import Correlation
def conv(in_planes, out_planes, kernel_size=3, stride=1, dilation=1, isReLU=True):
if isReLU:
ret... | 10,680 | 36.742049 | 90 | py |
ARFlow | ARFlow-master/models/correlation_native.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class Correlation(nn.Module):
def __init__(self, max_displacement=4, *args, **kwargs):
super(Correlation, self).__init__()
self.max_displacement = max_displacement
self.output_dim = 2 * self.max_displacement + 1
sel... | 2,336 | 28.961538 | 90 | py |
ARFlow | ARFlow-master/models/get_model.py | from .pwclite import PWCLite
def get_model(cfg):
if cfg.type == 'pwclite':
model = PWCLite(cfg)
else:
raise NotImplementedError(cfg.type)
return model
| 180 | 19.111111 | 43 | py |
ARFlow | ARFlow-master/models/correlation_package/correlation.py | import torch
from torch.nn.modules.module import Module
from torch.autograd import Function
import correlation_cuda
class CorrelationFunction(Function):
def __init__(self, pad_size=3, kernel_size=3, max_displacement=20, stride1=1, stride2=2, corr_multiply=1):
super(CorrelationFunction, self).__init__()
... | 2,265 | 34.968254 | 156 | py |
ARFlow | ARFlow-master/models/correlation_package/setup.py | #!/usr/bin/env python3
import os
import torch
from setuptools import setup, find_packages
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
cxx_args = ['-std=c++11']
nvcc_args = [
'-gencode', 'arch=compute_50,code=sm_50',
'-gencode', 'arch=compute_52,code=sm_52',
'-gencode', 'arch=compu... | 813 | 26.133333 | 105 | py |
ARFlow | ARFlow-master/models/correlation_package/__init__.py | 0 | 0 | 0 | py | |
ARFlow | ARFlow-master/datasets/get_dataset.py | import copy
from torchvision import transforms
from torch.utils.data import ConcatDataset
from transforms.co_transforms import get_co_transforms
from transforms.ar_transforms.ap_transforms import get_ap_transforms
from transforms import sep_transforms
from datasets.flow_datasets import SintelRaw, Sintel
from datasets.... | 5,969 | 47.536585 | 89 | py |
ARFlow | ARFlow-master/datasets/flow_datasets.py | import imageio
import numpy as np
import random
from path import Path
from abc import abstractmethod, ABCMeta
from torch.utils.data import Dataset
from utils.flow_utils import load_flow
class ImgSeqDataset(Dataset, metaclass=ABCMeta):
def __init__(self, root, n_frames, input_transform=None, co_transform=None,
... | 10,692 | 38.3125 | 90 | py |
ARFlow | ARFlow-master/utils/misc_utils.py | import collections
def update_dict(orig_dict, new_dict):
for key, val in new_dict.items():
if isinstance(val, collections.Mapping):
tmp = update_dict(orig_dict.get(key, {}), val)
orig_dict[key] = tmp
else:
orig_dict[key] = val
return orig_dict
class Averag... | 1,626 | 30.288462 | 77 | py |
ARFlow | ARFlow-master/utils/warp_utils.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import inspect
def mesh_grid(B, H, W):
# mesh grid
x_base = torch.arange(0, W).repeat(B, H, 1) # BHW
y_base = torch.arange(0, H).repeat(B, W, 1).transpose(1, 2) # BHW
base_grid = torch.stack([x_base, y_base], 1) # B2HW
return b... | 3,850 | 33.079646 | 106 | py |
ARFlow | ARFlow-master/utils/flow_utils.py | import torch
import cv2
import numpy as np
from matplotlib.colors import hsv_to_rgb
def load_flow(path):
if path.endswith('.png'):
# for KITTI which uses 16bit PNG images
# see 'https://github.com/ClementPinard/FlowNetPytorch/blob/master/datasets/KITTI.py'
# The -1 is here to specify not t... | 4,870 | 38.601626 | 93 | py |
ARFlow | ARFlow-master/utils/torch_utils.py | import torch
import shutil
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import numbers
import random
import math
from torch.optim import Optimizer
def init_seed(seed):
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
np.random.seed(seed)
random.seed(seed)
def weig... | 5,676 | 34.04321 | 102 | py |
ARFlow | ARFlow-master/transforms/co_transforms.py | import numbers
import random
import numpy as np
# from scipy.misc import imresize
from skimage.transform import resize as imresize
import scipy.ndimage as ndimage
def get_co_transforms(aug_args):
transforms = []
if aug_args.crop:
transforms.append(RandomCrop(aug_args.para_crop))
if aug_args.hflip:... | 2,709 | 32.04878 | 86 | py |
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