Solving environment: failed

Question

Solving environment: failed

Tobe2d opened this issue 3 years ago · 15 comments

Tobe2d commented 3 years ago

I try installing on both windows and linux however I get Solving environment: failed

conda env create -f environment.yml
Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound:

libffi==3.3=he6710b0_2
lcms2==2.12=h3be6417_0
matplotlib-base==3.4.2=py37hab158f2_0
tornado==6.1=py37h27cfd23_0
brotli==1.0.9=he6710b0_2
scipy==1.6.2=py37had2a1c9_1
bzip2==1.0.8=h7b6447c_0
locket==0.2.1=py37h06a4308_1
libpng==1.6.37=hbc83047_0
ffmpeg==4.2.2=h20bf706_0
freetype==2.10.4=h5ab3b9f_0
expat==2.4.1=h2531618_2
xz==5.2.5=h7b6447c_0
ncurses==6.2=he6710b0_1
openh264==2.1.0=hd408876_0
qt==5.9.7=h5867ecd_1pt150_0
pywavelets==1.1.1=py37h7b6447c_2
libgfortran-ng==7.5.0=ha8ba4b0_17
libwebp-base==1.2.0=h27cfd23_0
pcre==8.45=h295c915_0
jpeg==9d=h7f8727e_0
ca-certificates==2022.2.1=h06a4308_0
certifi==2021.10.8=py37h06a4308_2
gstreamer==1.14.0=h28cd5cc_2
lame==3.100=h7b6447c_0
libtiff==4.2.0=h85742a9_0
tk==8.6.11=h1ccaba5_0
glib==2.69.1=h5202010_0
pillow==8.3.1=py37h2c7a002_0
libgcc-ng==9.3.0=h5101ec6_17
openssl==1.1.1m=h7f8727e_0
libstdcxx-ng==9.3.0=hd4cf53a_17
fontconfig==2.13.1=h6c09931_0
zstd==1.4.9=haebb681_0
zlib==1.2.11=h7b6447c_3
_openmp_mutex==4.5=1_gnu
pyqt==5.9.2=py37h05f1152_2
libvpx==1.7.0=h439df22_0
libgomp==9.3.0=h5101ec6_17
python==3.7.11=h12debd9_0
dbus==1.13.18=hb2f20db_0
x264==1!157.20191217=h7b6447c_0
openjpeg==2.4.0=h3ad879b_0
libtasn1==4.16.0=h27cfd23_0
lz4-c==1.9.3=h295c915_1
cytoolz==0.11.0=py37h7b6447c_0
mkl_fft==1.3.0=py37h42c9631_2
sqlite==3.36.0=hc218d9a_0
gnutls==3.6.15=he1e5248_0
icu==58.2=he6710b0_3
pytorch==1.5.1=py3.7_cuda9.2.148_cudnn7.6.3_0
libgfortran4==7.5.0=ha8ba4b0_17
yaml==0.2.5=h7b6447c_0
ninja==1.10.2=hff7bd54_1
nettle==3.7.3=hbbd107a_1
kiwisolver==1.3.1=py37h2531618_0
setuptools==58.0.4=py37h06a4308_0
libopus==1.3.1=h7b6447c_0
libunistring==0.9.10=h27cfd23_0
matplotlib==3.4.2=py37h06a4308_0
sip==4.19.8=py37hf484d3e_0
gmp==6.2.1=h2531618_2
pip==21.2.2=py37h06a4308_0
numpy-base==1.20.3=py37h74d4b33_0
libidn2==2.3.2=h7f8727e_0
pyyaml==5.4.1=py37h27cfd23_1
libxcb==1.14=h7b6447c_0
gst-plugins-base==1.14.0=h8213a91_2
ld_impl_linux-64==2.35.1=h7274673_9
mkl-service==2.4.0=py37h7f8727e_0
libuuid==1.0.3=h7f8727e_2
mkl_random==1.2.2=py37h51133e4_0
mkl==2021.3.0=h06a4308_520
libxml2==2.9.12=h03d6c58_0
intel-openmp==2021.3.0=h06a4308_3350
numpy==1.20.3=py37hf144106_0

Answer 1 · 2022-04-12T04:16:25.000Z

Hello, I'm not an author, but I went through this problem. I think this environment is far from optimal, I guess authors just dumped their current environment which worked for them at this moment and setup.
I suggest you to look at presented google colab demo - its easy to use it as reference. I think you can even copy their setup or try with newer version of cuda-toolkit or pytorch, only dependency here is your host GPU driver version and mmcv, which you can easily install even for the newest pytorch release. If you still have problems please let me know your CUDA version and GPU, maybe I could prepare conda env for you

Answer 2 · 2022-04-12T07:16:21.000Z

@niemiaszek Thanks for the reply. I am really stuck at this point. if it is not to much to ask, If you could help on prepare conda env it will be great help.

Answer 3 · 2022-04-12T14:09:39.000Z

Sorry for the inconvenience during installing dependencies. And thanks for @niemiaszek's reply.

We just updated the environment.yml file.

If this file still does not work for you, please consider following commands:

conda create -n e2fgvi python=3.7
conda activate e2fgvi

conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.5/index.html
conda install tensorboard matplotlib scikit-image==0.16.2
pip install tqdm

Please feel free to contact me if you have any question. 😄

Answer 4 · 2022-04-17T18:13:41.000Z

Thank you so much @Paper99 I have been playing with it for a few days and getting multiple results.

Is there any way I can put my hands on the High-resolution version? as of now all results are really low resolution.

Answer 5 · 2022-04-17T22:22:34.000Z

@ammartist you can see that high resolution model is in Work in progress. I guess training is much longer on higher resolutions. All we can do now is wait I guess :) Would be nice to have some approximate date though

Answer 6 · 2022-04-19T07:38:56.000Z

Thank you for your attention.
We expect to release the model, which can handle videos with arbitrary resolution, at the begining of May, 2022.

Answer 7 · 2022-05-14T18:48:34.000Z

is #12 related?

Answer 8 · 2022-05-16T12:08:25.000Z

You may need to upgrade your pytorch version (>=1.5).

Answer 9 · 2023-01-31T09:16:04.000Z

Hi Bro,

I got some error

(e2fgvi) E:\AI\E2FGVI>python test.py --model e2fgvi --video examples/tennis --mask examples/tennis_mask --ckpt release_model/E2FGVI-CVPR22.pth
load pretrained SPyNet...
load checkpoint from http path: https://download.openmmlab.com/mmediting/restorers/basicvsr/spynet_20210409-c6c1bd09.pth
Loading model from: release_model/E2FGVI-CVPR22.pth
Loading videos and masks from: examples/tennis | INPUT MP4 format: False
test.py:63: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
m = m.resize(size, Image.NEAREST)
Start test...
0%| | 0/14 [10:12<?, ?it/s]
Traceback (most recent call last):
File "test.py", line 224, in
main_worker()
File "test.py", line 166, in main_worker
pred_imgs, _ = model(masked_imgs, len(neighbor_ids))
File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "E:\AI\E2FGVI\model\e2fgvi.py", line 250, in forward
pred_flows[1])
File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "E:\AI\E2FGVI\model\modules\feat_prop.py", line 129, in forward
flow_n2)
File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "E:\AI\E2FGVI\model\modules\feat_prop.py", line 58, in forward
self.deform_groups)
File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\mmcv\ops\modulated_deform_conv.py", line 93, in forward
with_bias=ctx.with_bias)
RuntimeError: CUDA error: no kernel image is available for execution on the device

###############
conda create -n e2fgvi python=3.7
conda activate e2fgvi

conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.5/index.html
conda install tensorboard matplotlib scikit-image==0.16.2
pip install tqdm

"RTX 3090ti"
#####################

Answer 10 · 2023-03-31T12:06:37.000Z

@dong-lufei You can manually install opencv by conda install opencv -c conda-forge

Answer 11 · 2023-03-31T12:53:18.000Z

@dong-lufei You can manually install opencv by conda install opencv -c conda-forge
CUDA out of memory. Tried to allocate 68.00 MiB (GPU 0; 2.00 GiB total capacity; 1.11 GiB already allocated; 13.22 MiB free; 1.21 GiB reserved in total by PyTorch)

Answer 12 · 2023-07-10T16:49:11.000Z

CUDA out of memory. Tried to allocate 68.00 MiB (GPU 0; 2.00 GiB total capacity; 1.11 GiB already allocated; 13.22 MiB free; 1.21 GiB reserved in total by PyTorch)
@dong-lufei have you resolved this issue? I have very similar error:
RuntimeError: CUDA out of memory. Tried to allocate 684.00 MiB (GPU 0; 4.00 GiB total capacity; 2.94 GiB already allocated; 0 bytes free; 2.99 GiB reserved in total by PyTorch)

Answer 13 · 2023-07-10T16:49:29.000Z

邮件已收到，请记得使用其它方式通知我哟！

Answer 14 · 2023-10-03T04:32:53.000Z

Hi Bro,

I got some error

(e2fgvi) E:\AI\E2FGVI>python test.py --model e2fgvi --video examples/tennis --mask examples/tennis_mask --ckpt release_model/E2FGVI-CVPR22.pth load pretrained SPyNet... load checkpoint from http path: https://download.openmmlab.com/mmediting/restorers/basicvsr/spynet_20210409-c6c1bd09.pth Loading model from: release_model/E2FGVI-CVPR22.pth Loading videos and masks from: examples/tennis | INPUT MP4 format: False test.py:63: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. m = m.resize(size, Image.NEAREST) Start test... 0%| | 0/14 [10:12<?, ?it/s] Traceback (most recent call last): File "test.py", line 224, in main_worker() File "test.py", line 166, in main_worker pred_imgs, _ = model(masked_imgs, len(neighbor_ids)) File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\torch\nn\modules\module.py", line 550, in call result = self.forward(*input, **kwargs) File "E:\AI\E2FGVI\model\e2fgvi.py", line 250, in forward pred_flows[1]) File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\torch\nn\modules\module.py", line 550, in call result = self.forward(*input, **kwargs) File "E:\AI\E2FGVI\model\modules\feat_prop.py", line 129, in forward flow_n2) File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\torch\nn\modules\module.py", line 550, in call result = self.forward(*input, **kwargs) File "E:\AI\E2FGVI\model\modules\feat_prop.py", line 58, in forward self.deform_groups) File "C:\ProgramData\Anaconda3\envs\e2fgvi\lib\site-packages\mmcv\ops\modulated_deform_conv.py", line 93, in forward with_bias=ctx.with_bias) RuntimeError: CUDA error: no kernel image is available for execution on the device

############### conda create -n e2fgvi python=3.7 conda activate e2fgvi

conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.5/index.html conda install tensorboard matplotlib scikit-image==0.16.2 pip install tqdm

"RTX 3090ti" #####################

3090ti may not support cuda 10.1, you may reinstall pytorch, try cuda 11.3

also reinstall mmcv-full

pip uninstall mmcv-full
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.0/index.html

Answer 15 · 2023-10-03T04:33:16.000Z

邮件已收到，请记得使用其它方式通知我哟！