Home / Python / Deep Learning

Neural Network to colorize grayscale images

#colornet Neural Network to colorize grayscale images Results Grayscale&

#colornet Neural Network to colorize grayscale images

Results

               Grayscale                               Prediction                            Ground Truth           

grayscale-pred-groundtruth

grayscale-pred-groundtruth

grayscale-pred-groundtruth

grayscale-pred-groundtruth

grayscale-pred-groundtruth

grayscale-pred-groundtruth

grayscale-pred-groundtruth

grayscale-pred-groundtruth

grayscale-pred-groundtruth

Eiji K used colornet for anime colorization

Sally the Witch 1966

Sources

15 Open More issues
Closed

Awesome work, we are hiring

Hey Pavel

Awesome work, and I love to chat more and see if you are interested in working on chat bots. We're hiring talented developers like yourself to work on a revolutionary product on top of messaging platforms like FB Messenger, Viber, Kik, Telegram, etc.

opened Apr 21, 2016 by khangtoh 0
Closed

Changed if conditions on tf.Tensor objects.

Those conditions caused error:

TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. Use `if t is not None:` instead of `if t:` to test if a tensor is defined, and use the logical TensorFlow ops to test the value of a tensor.

On my OS X El Capitan, Python 2.7.11, Anaconda 4.0.0 and Tensorflow 0.8.0. With those fixes I was able to run a model.

opened Apr 22, 2016 by syniuhin 0
Closed

string_input_producer requires a non-null input tensor

any idea about how to solve it?. thanks!

libpng warning: Application was compiled with png.h from libpng-1.6.22
libpng warning: Application  is  running with png.c from libpng-1.2.53
libpng error: Incompatible libpng version in application and library
opened Nov 19, 2016 by wkcw 0
Closed

fix tensorflow.python.framework.errors.FailedPreconditionError

fixed error (Python 2.7.12, OS X El Capitan, TensorFlow 0.12.0)

tensorflow.python.framework.errors.FailedPreconditionError: Attempting to use uninitialized value input_producer/limit_epochs/epochs [[Node: input_producer/limit_epochs/CountUpTo = CountUpToT=DT_INT64, _class=["loc:@input_producer/limit_epochs/epochs"], limit=1000000000, _device="/job:localhost/replica:0/task:0/cpu:0"]]

opened Nov 30, 2016 by dneprDroid 0
Open

Fix README header

Just a minor (visual) improvement in the README

opened Apr 21, 2020 by ptrstn 0
Open

train.py fails: google.protobuf.message.DecodeError: Wrong wire type in tag. 


W1209 14:04:14.659156 34370101248 deprecation_wrapper.py:119] From train.py:159: The name tf.GraphDef is deprecated. Please use tf.compat.v1.GraphDef instead.

Traceback (most recent call last):
  File "train.py", line 160, in <module>
    graph_def.ParseFromString(fileContent)
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/message.py", line 187, in ParseFromString
    return self.MergeFromString(serialized)
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/internal/python_message.py", line 1128, in MergeFromString
    if self._InternalParse(serialized, 0, length) != length:
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/internal/python_message.py", line 1180, in InternalParse
    buffer, new_pos, wire_type)  # pylint: disable=protected-access
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/internal/decoder.py", line 952, in _DecodeUnknownField
    raise _DecodeError('Wrong wire type in tag.')
google.protobuf.message.DecodeError: Wrong wire type in tag.

py36-tensorflow-1.14.0

opened Dec 9, 2019 by yurivict 0
Open

Could you please release the reference code?

thanks!!

opened May 8, 2018 by yt605155624 0
Open

not find jpg files

filenames = sorted(glob.glob("../colornet//.jpg")) File "train.py", line 179, in colorimage = input_pipeline(filenames, batch_size, num_epochs=num_epochs) File "train.py", line 31, in input_pipeline filenames, num_epochs=num_epochs, shuffle=False)

opened Apr 12, 2018 by favouriter 2
Open

TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. Use `if t is not None:` instead of `if t:` to test if a tensor is defined, and use TensorFlow ops such as tf.cond to execute subgraphs conditioned on the value of a tensor.

i don't exactly know why i am facing this error.any solutions to it.

File "/home/atul/Desktop/train.py", line 196, in pred = colornet(tensors) File "/home/atul/Desktop/train.py", line 67, in colornet conv1 = tf.nn.relu(tf.nn.conv2d(batch_norm(_tensors["conv4_3"], 512, phase_train),_tensors["weights"]["wc1"], [1, 1, 1, 1], 'SAME')) File "/home/atul/Desktop/train.py", line 45, in batch_norm x = bn.normalize(x, train=phase_train) File "/home/atul/Desktop/batchnorm.py", line 45, in normalize if train: File "/home/atul/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 620, in nonzero raise TypeError("Using a tf.Tensor as a Python bool is not allowed. " TypeError: Using a tf.Tensor as a Python bool is not allowed. Use if t is not None: instead of if t: to test if a tensor is defined, and use TensorFlow ops such as tf.cond to execute subgraphs conditioned on the value of a tensor.

opened Feb 7, 2018 by atulkoc 5
Open

Test on B/W images

Does, anyone have any clue, or is there any script, so as how to test the trained model? It would be quite nice to try it on few B/W images.

opened Jan 4, 2018 by adimyth 1
Information
Category: Python / Deep Learning
Watchers: 134
Star: 3.5k
Fork: 327
Last update: Oct 13, 2020

Contents
    Resource links
    https://github.com/pavelgonchar/colornet
    Most popular
    tensorflow TensorFlow an end-to-end open source platform for machine learning.
    tensorflow Models and examples built with TensorFlow
    keras-team Keras: Deep Learning for humans
    pytorch Tensors and Dynamic neural networks in Python with strong GPU acceleration
    aymericdamien TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
    huggingface 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
    deepfakes Deepfakes Software For All
    Avik-Jain 100 Days of ML Coding
    floodsung Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
    google-research TensorFlow code and pre-trained models for BERT

    Related Repos


    Deep Learning
    80
    Supervised learning for novelty detection in text
    Lab41 Pythia Novelty detection in text corpora Pythia is Lab41's exploration of approaches to novel content detection. We are interested in making it easier to tell when a document coming into a corpus has something ne
     
    Deep Learning
    142
    Lift – Lisp to Opencl for Deep Learning
    bhuztez Lift – Lisp to Opencl for Deep Learning
     
    Deep Learning
    995
    Torch on steroids
    facebookarchive torchnet torchnet is a framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming. At the moment, torchnet provides four set of important classes:
     
    Deep Learning
    104
    Convolutional Neural Network for python users
    Eniac-Xie PyConvNet: CNN for Python PyConvNet is a python implementation of convolutional neural network. To train LeNet on MNIST dataset, just do as follow(you may need some python package such as numpy matplotlib): cd python pytho
     
    Deep Learning
    2.8k
    Caffe models in TensorFlow
    ethereon Caffe to TensorFlow Convert Caffe models to TensorFlow. Usage Run convert.py to convert an existing Caffe model to TensorFlow. Make sure you're using the latest Caffe format (see the notes section for more info). Th
     
    Deep Learning
    74
    Unsupervised Learning on Neural Network Outputs
    yaolubrain Unsupervised Learning on Neural Network Outputs This repo contains the experiment code in paper Unsupervised Learning on Neural Network Outputs: with Application in Zero-shot Learning Yao Lu International Joint Conference on Art
     
    Deep Learning
    54
    IPython notebook for training multilayer LSTM and RNN networks with pycaffe
    kuprel pycaffe-recurrent IPython notebook for training multilayer LSTM and RNN networks with pycaffe Example of generated code after training on the Linux kernel for a few hours (average test loss ~1): static int __init bit_next_wor
     
    Deep Learning
    79
    A Text-to-Speech Python Telegram bot
    martijnrondeel SpeechBot SpeechBot is a Telegram bot written in Python that converts anything you say into a voice message using Google's Text-to-Speech API. Installation SpeechBot requires: Python 2.7 Flask redis-py Linux