videoimagination's People
Forkers
hal2001 jdc08161063 wshenx ml-lab bkong1990 pixelsonoro coderx7 mbraihan qijiezhao ilovecv jop-lee guojm14 zcrwind lss616263 donadonny kanson1996 hit10024 mark-brackenrig xiezixiustcvideoimagination's Issues
Pre-trained Model
Do you train on all UCF101 or do you filter by category?
Can you provide pre-trained models?
image_filters_2 not defined in op.py
There is no value assigned for image_filters_2 in op.py
What should be its value?
Is there a bug in the 'ops.py' file?
In the 'volumetric_apply' function of 'ops.py' file, the return values are 'vid_1' and 'vid_2', but I find that 'vid_2' is not defined.
Not training well and some errors
After making some changes to the source files, I was finally able to get this working. But am facing a few problems. I am using the 2D Shapes dataset for training.
1)It seems that the model is not training properly. The generated frames in tensorboard are very blurry even after ~194 Epochs.
2)The generator loss is ~0.78 and discriminator loss is ~ -1.58. The trend till now is that the G loss is increasing very slowly and the D loss is decreasing very slowly. These are that stats after 194 Epochs (Batch Size 64). Both should be going towards zero right ? When should I expect convergence ?
-
Further, strangely the learning starts at Epoch 34. Can't figure out why.
-
I can't get the validation part to work. I have the following error : "Variable generator/g_e0_conv/w already exists, disallowed. Did you mean to set reuse=True in VarScope?"
About the data
It is a wonderful work!
Can you release the dataset that you train?
Or can you tell how you generate the "tfrecords" data ?
If you can release the code that generate the data 'surfing.tfrecords',It will be very helpful for me!
"filenames = tf.gfile.Glob(self.data_dir+'/surfing_val.tfrecords')"
Idea to introduce CortexNET ideas in this framework
Hi ,
I would like to know if y'all have thought about implementation of the paper title CortexNet in your architecture?
https://arxiv.org/pdf/1706.02735v2.pdf
https://github.com/Atcold/pytorch-CortexNet
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ 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. ๐๐๐
-
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 โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.