out-of-date

After installing all the dependencies, I get an error stating this:

UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
begin load

and then it cuts off and closes the program.

I made sure to version match to all the python dependencies and am currently using python 3.6 on a virtual environment created by python on windows 10 with a Geforce GTX 1070 TI

The full cmd prompt looks like this:

(venv) C:\Users\User\Downloads\DanbooRegion-master2\DanbooRegion-master\code>python segment.py emilia.jpg
Using TensorFlow backend.
C:\Users\User\Downloads\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:493: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\User\Downloads\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:494: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\User\Downloads\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:495: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\User\Downloads\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:496: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\User\Downloads\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:497: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\User\Downloads\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:502: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
2021-06-11 13:52:13.410991: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-06-11 13:52:13.649483: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1105] Found device 0 with properties:
name: NVIDIA GeForce GTX 1070 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.683
pciBusID: 0000:01:00.0
totalMemory: 8.00GiB freeMemory: 7.05GiB
2021-06-11 13:52:13.649679: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: NVIDIA GeForce GTX 1070 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
C:\Users\User\Downloads\venv\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
begin load

out-of-date

Thank you for sharing your dataset.

But, I can not unzip files that are downloaded from google drive https://drive.google.com/drive/folders/1ihLt6P7UQRlaFtZUEclXkWC9grmEXEUK?usp=sharing

I try on Ubuntu18.04 and Mac, but fail unzip on both environments.

❯ unzip DanbooRegion2020.zip.077
Archive:  DanbooRegion2020.zip.077
fatal error: read failure while seeking for End-of-centdir-64 signature.
  This zipfile is corrupt.
unzip:  cannot find zipfile directory in one of DanbooRegion2020.zip.077 or
        DanbooRegion2020.zip.077.zip, and cannot find DanbooRegion2020.zip.077.ZIP, period.

Thanks.

Hi, thanks for you work, and I want to know how to run 10.3 and get reflectance image,
Hoping to get your replay, thanks!

In https://github.com/lllyasviel/DanbooRegion#something-about-the-dataset-quality it's mentioned that each image was scored from 0.0 to 5.0. Is this data provided in the dataset? For example could I filter out annotations with a score < 2.5?

I walk throughout all steps even i change my tensorflow gpu versions buh same error i face

First of all, thank you very much for sharing your interesting project!

I tried to setup an environment with Docker, and the following example code ran without error and output three images as expected.

python segment.py ./emilia.jpg

However, the output looks like somewhat different from what is shown on README. (The following image is current_skelton.png which is output by the sample code.)

Dockerfile

Note: I've changed numba version according to this issue.

FROM nvidia/cuda:9.0-cudnn7-runtime-ubuntu16.04

RUN apt-get update\
    && apt-get install -y --no-install-recommends \
    wget gcc make zlib1g-dev libssl-dev libopencv-dev \
    && apt-get -y clean \
    && rm -rf /var/lib/apt/lists/*

RUN apt-get remove -y --allow-change-held-packages libcudnn7


RUN apt-get update && apt-get install -y --no-install-recommends \
    libcudnn7=7.0.5.15-1+cuda9.0 \
    && apt-mark hold libcudnn7 && \
    rm -rf /var/lib/apt/lists/*

RUN wget https://www.python.org/ftp/python/3.6.11/Python-3.6.11.tgz \
    && tar zxvf Python-3.6.11.tgz \
    && cd Python-3.6.11 \
    && ./configure \
    && make && make install \
    && ln -s /usr/local/bin/python3.6 /usr/local/bin/python \
    && ln -s /usr/local/bin/pip3.6 /usr/local/bin/pip \
    && cd .. \
    && rm -r Python-3.6.11*

RUN pip install -U pip \
    && pip install tensorflow-gpu==1.5.0 \
    && pip install keras==2.2.4 \
    && pip install opencv-python==3.4.2.17 \
    && pip install numpy==1.15.4 \
    && pip install numba==0.49.0 \
    && pip install scipy==1.1.0 \
    && pip install scikit-image==0.13.0 \
    && pip install scikit-learn==0.22.2 \
    && pip install -U h5py==2.10.0 \
    && pip cache purge

What I did

# Working directory is a directory where I created the Dockerfile.
docker build -t sample:0.1 .

# Mount project directory and execute sample code.
sudo docker run -it --rm --gpus all -v /path/to/DanbooRegion:/DanbooRegion --name debug sample:0.1 /bin/bash
$ cd /DanbooRegion/code
$ python segment.py ./emilia.jpg

Environment

• OS: Ubuntu 20.04 LTS
• Docker version: 20.10.5, build 55c4c88
• nvidia-docker2 version: 2.6.0-1
• GPU: GeForce RTX 3090
• Nvidia driver version: 460.73.01