Comments (9)
Hey @ritwik12 , I'm interested in contributing to this issue, so before I start working on it, would you mind sparing your time explaining what the issue is about and pointing me to some resources to get started.
from celestial-bodies-detection.
Yeah. so just like we have 8 planets right now for the classification. Our model is not trained for Pluto and Dwarf planets. If we try to give an image of Pluto to our model. It will classify it as wrong.
from celestial-bodies-detection.
Need to add Training images for Pluto, then add test images. Train the model based on those images.
from celestial-bodies-detection.
Hello @ritwik12 ,
I'm interested in solving this issue, and I cloned this repository and I collected some pluto images and added them to both training and test data and added "pluto" to retrained_labels.txt and label_image.py and now how to start training ??is this the correct way ??
from celestial-bodies-detection.
@SSahas Please follow the readme.md. I think you also don't need to update retrained_labels.txt
as that is something done on its own with this command below.
To train model you need to run python retrain.py --bottleneck_dir=bottlenecks --how_many_training_steps=500 --model_dir=inception --summaries_dir=training_summaries/basic --output_graph=retrained_graph.pb --output_labels=retrained_labels.txt --image_dir=./training_data
from celestial-bodies-detection.
hey @ritwik12 , I trained the model for classifying Pluto planet and got the final test accuracy : 87% , I also run the run.py and the webapp is classifying Pluto images correctly but the retrained_graph.pb file is greater than 50 mb so I am not able to push it , can I use git LFS now??
from celestial-bodies-detection.
@SSahas You meant retrained_graph.pb? The current one in repo is already 83MB
from celestial-bodies-detection.
hey @ritwik12 ,
I opened a pull request called "Train the model for detecting pluto".
I trained the model and the flask app can also able to detect the images as pluto .
please look in to it.
please tell if there are any things to be changed.
from celestial-bodies-detection.
Hey @ritwik12 , I'm interested in contributing to this issue. This is my first time contributing. I want to add a dwarf planet named 'Makemake' to the classification.
from celestial-bodies-detection.
Related Issues (20)
- add .gitignore HOT 2
- Update the README.md HOT 1
- Moon HOT 1
- Add Training Data HOT 9
- Change Training data filenames HOT 14
- Classifying Celestial-bodies HOT 8
- Classify Satellites HOT 14
- Classify Meteor and Meteorites HOT 10
- Classify Asteroids HOT 13
- Supress tensorflow warnings HOT 5
- Change Test data files names HOT 4
- Create GUI HOT 15
- Setup CI build Travis HOT 12
- Add test cases HOT 13
- Refine information displayed about the identified celestial bodies HOT 2
- Update Readme for Moon and Asteroids HOT 3
- Deploy current webapp to project site HOT 3
- Improve GUI (WebApp) HOT 5
- TensorFlow version in retrain.py HOT 5
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 celestial-bodies-detection.