seanseattle / smis Goto Github PK

Hello, I downloaded the deepfashion dataset from your home page, but I didn't find the placement form of the dataset in your description document. It's somewhat difficult to understand and the following errors occurred，hope to get your help
E:/codeproject/SMIS-master/train.py
Traceback (most recent call last):
File "E:/codeproject/SMIS-master/train.py", line 21, in
dataloader = data.create_dataloader(opt)
File "E:\codeproject\SMIS-master\data_init_.py", line 44, in create_dataloader
instance.initialize(opt)
File "E:\codeproject\SMIS-master\data\pix2pix_dataset.py", line 22, in initialize
label_paths, image_paths, instance_paths = self.get_paths(opt)
File "E:\codeproject\SMIS-master\data\coco_dataset.py", line 35, in get_paths
label_paths = make_dataset(label_dir, recursive=False, read_cache=True)
File "E:\codeproject\SMIS-master\data\image_folder.py", line 49, in make_dataset
assert os.path.isdir(dir) or os.path.islink(dir), '%s is not a valid directory' % dir
AssertionError: ./datasets/deepfashion/train_label is not a valid directory

Hi,
Thank you for such an Awesome paper. How can I perform Stylemix on a single instance from Latent codes, 2nd by feeding real_images into latent code and then perform stylemix so any script for this?
How can I perform style_morphing on Real & generated deep_fashion designs? Any script ? thanks!

Hello！This is a good job.

I think that the new metrics (mCSD and mOCD) you designed is meaningful. But it seems that these new metrics are not included in the open source code. Are you willing to open the relevant code?

Looking forward to your reply！

您好，请问您的组卷积如何能够达到平衡类别和不受限与类别数量的效果？难道通过归一化操作？不是很明白，希望给予指导。

I use win10 pytorch 1.0.0, torchvision 0.2.2.post3, I try pytorch 1.4.0, torchvision 0.5.0 same error.
I add DeepFashion Dataset and pretrained
Run test:
python test.py --name deepfashion_smis --dataset_mode deepfashion --dataroot D:/dataset/deepfashion --no_instance --gpu_ids 0 --ngf 160 --batchSize 4 --model smis --netE conv --netG deepfashion
Error:

Please support help me!

Hello! Thank you for your wonderful project!
When I trained ADE20k data set, some problems appeared. What is the value of-use _ vae10 in ade20k.sh? I set 10 to start training, but the speed is very slow. What equipment do you train on? About how long did you train? Thank you! Looking forward to your reply!

How do I run test.py with the Cityscapes dataset? I have downloaded the gtFine_trainvaltest.zip from the cityscapes site. Could you please walk through the steps?

can i make some new data for training ,beacause after reading the paper,i believe this network can fit into different application and i want have a try.

Hi! I'm appreciate for the author‘s efforts.
And i try the test, the cloth try on is nice,but the person's face is not good.

It seems like that the face restoration is not that good, is there any solution for this problem?
As I think, use a mask that do not change the face? any suggestions?
thx!!!

Hi, why your results in Table 2 (cityspaces and ade) different from those from SPADE paper while you used the same dataset train/test splits?

Hello @Seanseattle Thanks for the wonderful library

Can you please tell me the steps to run the code on our custom image?

Thank You

Hi, i've seen that tqdm module is not in 'requirements.txt' but it is a mandatory in test.py.

Hello！This is a good job.

I think that the new metrics (mCSD and mOCD) you designed is meaningful. But it seems that these new metrics are not included in the open source code. Are you willing to open the relevant code?

Looking forward to your reply！

Hello, I am very interested in your work, but when I test, an error occurred, and he I don't know how to solve.

In models.networks.generator, there should be a class whose name matches spadegenerator in lowercase without underscore(_)

Process finished with exit code 0

The SPADE did not seem to work. Thank you!

Hello thanks for publishing this project.
When I try to test:
python3 test.py --name deepfashion_smis --dataset_mode deepfashion --dataroot /root/filters/SMIS/data/deepfashion --no_instance --gpu_ids 1 --ngf 160 --batchSize 4 --model smis --netG deepfashion

After placing the trained model in /checkpoints
I get the following error:

Traceback (most recent call last):
File "test.py", line 19, in
dataloader = data.create_dataloader(opt)
File "/root/filters/SMIS/data/init.py", line 44, in create_dataloader
instance.initialize(opt)
File "/root/filters/SMIS/data/pix2pix_dataset.py", line 22, in initialize
label_paths, image_paths, instance_paths = self.get_paths(opt)
File "/root/filters/SMIS/data/deepfashion_dataset.py", line 30, in get_paths
label_paths_all = make_dataset(label_dir, recursive=False)
File "/root/filters/SMIS/data/image_folder.py", line 49, in make_dataset
assert os.path.isdir(dir) or os.path.islink(dir), '%s is not a valid directory' % dir
AssertionError: /root/filters/SMIS/data/deepfashion/cihp_test_mask is not a valid directory

What am I doing wrong?

Hi @Seanseattle and the team. Congratulations and thank you for the wonderful work!

Using the file test.py, I have been able to generate multiple images in which the pose of the model comes from the input image, while the cloths are randomly generated.
I would like to go a bit further by reproducing the test that you did in the paper where you take the cloth of one person an put it on another model. I couldn't find out how to do it with your source code. Could you please give me some instruction on this?

Thank you very much!

This paper is Awesome so I would request Plz include a Sample Notebook including custom data interpolation/Stylemix as documents are not clear.
Greetings!

Hello~It seems that the label number of DeepFashion dataset is 8, which is different from common human parsing models. Do you merge the labels？What is the class of each label？