Comments (4)
I have mentioned in README.md. If you want to go through the complete training process, you need to train SRResnet first and then use it as the pre-trained weight for SRGAN. If you want to train SRGAN directly, you can modify the train_SRGAN.sh to train it without using pre-trained weights.
Regarding the second question, where did you encounter it?
from srgan-tensorflow.
I encounter it when training SRGAN with MSE loss, and I haven't finished training SRResnet yet, SRResnet took 9000 minutes.
from srgan-tensorflow.
Concerning the resume of training process, I got this error:
Loading model from the checkpoint...
TypeError: expected bytes, NoneType found
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "main.py", line 315, in
saver.restore(sess, checkpoint)
I tried to resume on my instances running CUDA 9 & CUDNN 7 which is the Hardware used to train and create the checkpoint file and I can successfully train... How to know whether the training is resumed or not?
from srgan-tensorflow.
I got this error : KeyError: 'vgg19_1/vgg_19/conv5/conv5_4'
Issue #6
it will show you how to modify model.py to use the correct key
from srgan-tensorflow.
Related Issues (20)
- Issue with perceptual loss HOT 1
- Successfully ran test mode in MacOS, where to put Instructions? HOT 2
- License HOT 1
- Max input resolution? HOT 2
- can't find varibles in checkpoint
- 2x resolution instead of 4x HOT 1
- ParametricRelU after pixelshuffler HOT 2
- The graph couldn't be sorted in topological order
- i had some headache,for help -_- HOT 3
- Did you use the pretrained VGG model in getting percetual loss?
- Training
- VGG input
- When I want to input by using GRAY SCALE data...
- Black images HOT 3
- Keep getting a tensorflow.python.framework.errors_impl.InvalidArgumentError
- scale generator network output to [-1, 1] HOT 1
- Missing requirements HOT 1
- Set the upscaling factor
- why the content_loss and adversarial_loss keep increasing with the training? HOT 2
- run error HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from srgan-tensorflow.