pytorch-CycleGAN-and-pix2pix | Image-to-Image Translation in PyTorch | Machine Learning library
kandi X-RAY | pytorch-CycleGAN-and-pix2pix Summary
kandi X-RAY | pytorch-CycleGAN-and-pix2pix Summary
Image-to-Image Translation in PyTorch
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- Display the current visual results
- Add html header text
- Save the document
- Add images
- Download data
- Downloads data from a given dataset url
- This function processes the cities of the cityscapes
- Checks if a pair of segments match the given image
- Define a discriminator layer
- Get a norm layer
- Get a palette for the given label
- Creates a model instance
- Preprocess the image
- Save the document to disk
- Create a dataset
- Align two images
- Optimizes G and G
- Return a list of all files in a folder
- List all label ids for a given split
- Define a network layer
- Plot the current loss for a given epoch
- Parse options
- Saves visuals
- Save all the networks
- Performs optimization of parameters
- Modify commandline options
- Print the current loss
pytorch-CycleGAN-and-pix2pix Key Features
pytorch-CycleGAN-and-pix2pix Examples and Code Snippets
Lines of Code : 10
License : No License
Copycd data
./download_data.sh
conda create -n fashion_gan python=3.6
source activate fashion_gan
conda install --file conda_requirements.txt
pip install -r pip_requirements.txt
source activate fashion_gan
jupyter notebook
source deactivate
conda env @inproceedings{li2018cgintrinsics,
title={CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering},
author={Zhengqi Li and Noah Snavely},
booktitle={European Conference on Computer Vision (ECCV)},
year={2018} python test.py --dataroot ./datasets/test --model test --checkpoints_dir ./checkpoints/ --name d2p/ --dataset_mode single --no_dropout --norm batch
demo_steps=1000 # number of iterations
img_path='./simulated.JPEG' . # given an image
output_path Community Discussions
Trending Discussions on pytorch-CycleGAN-and-pix2pix
QUESTION
I have trained a model using the pix2pix pytorch implementation and would like to test it.
However when I test it I get the error
...ANSWER
Answered 2021-May-26 at 11:04I think the problem here is some layer the bias=None but in testing the model required this, you should check the code for details.
After I check your config in train and test, the norm is different. For the code in GitHub, the norm difference may set the bias term is True or False.
QUESTION
I think there is an error in line 53 of the following code:
It says:
...ANSWER
Answered 2021-Mar-27 at 17:12torch.cat's first argument is expected to be a sequence of tensors rather than a single tensor. So you pass in like:
QUESTION
I am trying to convert pix2pix to a pb or onnx that can run in Lens Studio. Lens studio has strict requirements for the models. I am trying to export this pytorch model to onnx using this guide provided by lens studio. The issue is the pytorch model found here uses its own base class, when in the example it uses Module.nn, and therefore doesnt have methods/variables that the torch.onnx.export function needs to run. So far Ive run into its missing a variable called training and a method called train
Would it be worth it to try to modify the base model, or should I try to build it from scratch using nn.Module? Is there a way to make the pix2pix model inherit from both the abstract base class and nn.module? Am I not understanding the situation? The reason why I want to do it using the lens studio tutorial is because I have gotten it to export onnx different ways but Lens Studio wont accept those for various reasons.
Also this is my first time asking a SO question (after 6 years of coding), let me know if I make any mistakes and I can correct them. Thank you.
This is the important code from the tutorial creating a pytorch model for Lens Studio:
...ANSWER
Answered 2020-Aug-06 at 22:08You can definitely have your model inherit from both the base class and torch.nn.Module (python allows multiple inheritance). However you should take care about the conflicts if both inherited class have functions with identical names (I can see at least one : their base provide the eval function and so to nn.module).
However since you do not need the CycleGan, and a lot of the code is compatibility with their training environment, you'd probably better just re-implement the pix2pix. Just steal the code, have it inherit from nn.Module, copy-paste useful/mandatory functions from the base class, and have everything translated into clean pytorch code. You already have the forward function (which is the only requirement for a pytorch module).
All the subnetworks they use (like the resnet blocks) seem to inherit from nn.Module already so there is nothing to change here (double check that though)
QUESTION
I want to copy some file from a remote Linux system to my Windows PC using pscp (from PuTTY). I wrote a small script that should copy all .png files in a directory on my server:
ANSWER
Answered 2020-May-28 at 14:25-unsafe won't help with this.
The problem is that your file names contain colons. Colons are not allowed in Windows file names.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install pytorch-CycleGAN-and-pix2pix
Install PyTorch and 0.4+ and other dependencies (e.g., torchvision, visdom and dominate). For pip users, please type the command pip install -r requirements.txt. For Conda users, you can create a new Conda environment using conda env create -f environment.yml. For Docker users, we provide the pre-built Docker image and Dockerfile. Please refer to our Docker page. For Repl users, please click .
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