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Hello, thanks for your great contribution, I am trying to run the app, and followed the suggestions in #1. My app is running on a cloud gpu server but is not rendering properly so I am unable to use it, could you share any points which might be useful? Attaching screenshot

dear author,

while running "run_app" , found the following error:
"command ninja -v returned non-zero"

Help!

Very appreciated!!!

Dear author,

thanks for your great contribution, while config the environment,
I encounter an issue as follows:

pip install torch==1.10.0a0+3fd9dcf
ERROR: Could not find a version that satisfies the requirement torch==1.10.0a0+3fd9dcf (from versions: 1.4.0, 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0)
ERROR: No matching distribution found for torch==1.10.0a0+3fd9dcf

Any advice is appreciated!

Hi! I've got this trouble when I tried to run the app.
return torch._C._nn.upsample_bilinear2d(input, output_size, align_corners, scale_factors) torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 MiB (GPU 0; 6.00 GiB total capacity; 5.01 GiB already allocated; 0 bytes free; 5.20 GiB reserved in total by PyTorch) If reserved memory is >> allocated memor y try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF 127.0.0.1 - - [18/Nov/2022 14:52:07] "GET / HTTP/1.1" 500 - 127.0.0.1 - - [18/Nov/2022 14:52:07] "GET /favicon.ico HTTP/1.1" 404 -

i'm new to this stuff
how can i solve this problem?

when run the app,the same error FileNotFoundError: [Errno 2] No such file or directory: './static/results/current_editing_latent_cache.pickle' as #7, but there is no any solutions. Could you tell me how to solve the bug or how to download the file current_editing_latent_cache.pickle? Thanks.

HI:
I only have v100 16G not 32G. How to testing face?and How to change xxx.json for my 16G gpu?
thank you very mush

hello ,thanks for your great contribution,can you realease the pretrained FFHQ face model of editgan?

Hello! DatasetGAN training images and annotations cannot be downloaded from Google Drive link provided in README.md. The access to Google Drive folder is restricted.

Is the CPU predictable

Traffic flow heat map is affected by many potential vectors, but it can not obtain obvious semantic segmentation like face or car images. Is this model still applicable in this case?

Hi ! thanks for the great contribution. I've got some trouble when I tried to run the app.Similar to #8, I managed to setup the app but it seemed the UI is not working. All the buttons are not functional. The window is just like this:

And my log info is as follow:
python run_app.py

• Serving Flask app 'run_app' (lazy loading)
• Environment: production
  WARNING: This is a development server. Do not use it in a production deployment.
  Use a production WSGI server instead.
• Debug mode: off
• Running on all addresses (0.0.0.0)
  WARNING: This is a development server. Do not use it in a production deployment.
• Running on http://127.0.0.1:8888
• Running on http://192.168.1.111:8888 (Press CTRL+C to quit)
  Load stylegan from, ./checkpoint/stylegan_pretrain/stylegan2_networks_stylegan2-car-config-f.pt at res, 512
  make_mean_latent
  Load Classifier path, ./checkpoint/datasetgan_pretrain/classifier
  Setting up Perceptual loss...
  Loading model from: /home/hp/editGAN/lpips/weights/v0.1/vgg.pth
  ...[net-lin [vgg]] initialized
  ...Done
  0%| | 0/10 [00:00<?, ?it/s]/home/hp/.conda/envs/editGAN/lib/python3.8/site-packages/torch/nn/functional.py:3631: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
  warnings.warn(
  100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:08<00:00, 1.24it/s]
  TOOL init!!
  192.168.1.111 - - [09/May/2022 14:22:31] "GET / HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:22:31] "GET /static/demo.css HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:22:31] "GET /static/demo_origin.js HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:22:31] "GET /static/nvidia.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:22:31] "GET /static/loading.gif HTTP/1.1" 404 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/brush_circle.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/brush_square.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/brush_diamond.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/paint-brush.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/paint-can.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/eyedropper.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/undo.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/save.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/run.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/random.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/0.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/1.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/2.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/3.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/5.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/4.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/6.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/7.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/8.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/10.jpg HTTP/1.1" 404 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/images/car_real/9.jpg HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:41] "GET /static/info.png HTTP/1.1" 200 -
  192.168.1.111 - - [09/May/2022 14:24:42] "GET /favicon.ico HTTP/1.1" 404 -

I have no idea what's wrong with it. Any idea?
Thank you!

Is it possible to auto generate images without the app tool?

When I run run_app.py, I got a exception:

I am not run run_app.py on Tesla v100. I only have 16G GPU memory, how can I make it run successfully.

In addition I have adjust PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:21, it still cannot finish.

Hi, I run the app and find the "upload image" button. It seems to support editing custom images. However, when I upload a custom image of the car, the semantic image on the left does not change simultaneously so that I can not edit it. Can you offer me a tutorial on how to edit custom images?

What are the benefit or reason of training 10 pixel classifiers with same architecture(fully connected)?

Because I think it will take a lot of time to train theses models.

Hello. I really impressed your paper.
I have one question. What dataset did you use to train the encoder in your paper? Did you learn encoder(car model) using all the LSUN-cars used in styleganv2?
thank you!

Hi, would you be interested in adding editGAN to Hugging Face? The Hub offers free hosting, and it would make your work more accessible and visible to the rest of the ML community. Models/datasets/spaces(web demos) can be added to a user account or organization similar to github.

Example from other organizations:
Keras: https://huggingface.co/keras-io
Microsoft: https://huggingface.co/microsoft
Facebook: https://huggingface.co/facebook

Example spaces with repos:
github: https://github.com/salesforce/BLIP
Spaces: https://huggingface.co/spaces/salesforce/BLIP

github: https://github.com/facebookresearch/omnivore
Spaces: https://huggingface.co/spaces/akhaliq/omnivore

and here are guides for adding spaces/models/datasets to your org

How to add a Space: https://huggingface.co/blog/gradio-spaces
how to add models: https://huggingface.co/docs/hub/adding-a-model
uploading a dataset: https://huggingface.co/docs/datasets/upload_dataset.html

Please let us know if you would be interested and if you have any questions, we can also help with the technical implementation.

Hi, I have great fun with the excellent work! However, I find a problem that, when I create a custom editing vector on view0 ( add a row of seats) and add the editing vector to the style code of view1, the view1 does not produce a car with a new row of seats.
view0:

view0+editing vector:

view1:

view1+editing vector:

The roi region will accumulation everytime when i edit the mask. the region i editted before dont change even when i choose another mask.
Here r some pic bellow. I wonder how i can initialize the roi when i try new edit to the mask

first edit and the visual of generated roi

second edit and the visual of generated roi

as u can see, the first one track still on the second one even i didn't draw it

Thanks for sharing your code! I tried getting this to load up in Google Colab. After some hassle and experimenting, I got it to the state where it's loading up at least.

If I try to click something like checking the box, or uploading a file, I see the following reports:

The UI seems unresponsive. It is not perfectly clear whether that is due to a problem, or because I don't know how to use the software. Any hints?

Thank you 🙏

i want to use the 256x256 pre-trained stylegan2 model.
there are some problems to convert the tensorflow checkpoint to pytorch.
can you provide a convert demo?

Excuse me, where can I download this file？

FileNotFoundError: [Errno 2] No such file or directory: './static/results/current_editing_latent_cache.pickle'