Comments (27)
from deepfashion_try_on.
You can simply separate these modules by commenting the codes
from deepfashion_try_on.
@anwarelahi Hi, how is your training. Is the light point artifact solved in your training?
from deepfashion_try_on.
from deepfashion_try_on.
Hmm.. Looks weird. Can u give me your weights? I will try to examine it
from deepfashion_try_on.
It might be some problem with the version of the code, we will check it.
from deepfashion_try_on.
if u can, please contact me [email protected] I have something to discuss
from deepfashion_try_on.
Hmm.. Looks weird. Can u give me your weights? I will try to examine it
Hi, this is the model used when running inference with an error:
https://drive.google.com/drive/folders/1Qrvn-oRJ7jGE93fOvm-VbNct2d49-w5X?usp=sharing
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from deepfashion_try_on.
@HAN-YANG-HIT
Thanks for the feedback.
from deepfashion_try_on.
from deepfashion_try_on.
Why does batchsize = 8 affect the quality of generated images?
How many cards do you use when training?
with 2 2080 TI cards I only reached the batch size = 4.
And I want to ask a little more about training details:
model G and G2 should be trained with 200 epoches, while model G1 and U net should be trained with 20 epoches
Does it mean I must train all models to 200 epochs, then use G1 and U net at epoch 20th combined with G and G2 at epoch 200th when running inference? Or train to 20 epochs then use G and G2 models as pretrained models for the remain epochs?
Thanks you.
from deepfashion_try_on.
@HAN-YANG-HIT
When I use a dataset with only 1000 images for training, will it reduce quality when running tests?
In case of reducing the number of images in training, should I need to increase the number of epochs?
from deepfashion_try_on.
Hi, I intend to add a new image to the dataset and train it again, but after 20 epochs, the test image has a strange color in the neck:
I use a Google colab for training with Pytorch 1.15.
Do you know this error?
And can you give more information about the python environment which runs out the same as the result in the article?
could you please tell me how to train my own data? for example ,how to only train G1,G2?
from deepfashion_try_on.
I would like to know this as well,
Would you be so kind to give some indications please?
from deepfashion_try_on.
Hi
can you help in training the model in colab . Can you share the configuration file
from deepfashion_try_on.
@HAN-YANG-HIT
When I use a dataset with only 1000 images for training, will it reduce quality when running tests?
In case of reducing the number of images in training, should I need to increase the number of epochs?
Hi,did you solve this problem by re-train more times? I got the same problem
from deepfashion_try_on.
I proposed a solution to this problem. I posted on the update.
from deepfashion_try_on.
@LZQhardworker Where is the update. Can you please share it with me as I am trying to retrain model.
from deepfashion_try_on.
from deepfashion_try_on.
@LZQhardworker Thanks for the updates. Is it possible to execute each module/step separate? like only execute semantic generation module then clothes warping module.
If possible can you please share script for each module or let me know if it can not be.
from deepfashion_try_on.
@anwarelahi Hi, how is your training. Is the light point artifact solved in your training?
Hi, Yes my person image looks fine on sample result but when I use latest .pth files from checkpoints for test, try on is not working on test.py. Can you please suggest what .pth files should be use for testing try on.
from deepfashion_try_on.
from deepfashion_try_on.
Yes right tried by default latest and others like 200 and 20 too but no luck. I put all those .pth files on checkpoints\label2city folder of both train and inference projects.
from deepfashion_try_on.
from deepfashion_try_on.
No, not any type of error, instead try on clothes are not appearing on my model image somehow.
from deepfashion_try_on.
from deepfashion_try_on.
Related Issues (20)
- The certain pose point in Dataset Partition
- pose_iter_440000.caffemodel file missing.
- 403. That’s an error.
- Google colab link error HOT 2
- How much time does it take in training? Additionally, why is this code implemented in an end-to-end manner? HOT 2
- SSIM HOT 2
- How to train for 20 epochs HOT 1
- detect ours HOT 3
- Colab Notebook with expired Model Drive Links HOT 2
- What is STN Second-Order Difference Constraint? HOT 1
- Second-order constraint constants HOT 1
- Result is not showing HOT 1
- test.py showing error HOT 2
- Generating densepose at different resolutions HOT 1
- Error with the 16th block HOT 4
- Error with train.py file HOT 2
- Error with test.py file HOT 2
- the difficulty of try-on reference image HOT 1
- Inference images=0?
- Data processing HOT 2
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