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Comet.Box 📦📦

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Comet.Box: A collection of efficient and fast implementation of SOTA Object Detection,Segementation and NLP Models.

Why Comet.Box?

  • Want to get Started with Advanced Computer Vision and NLP?

    • Comet.Box provides you a large variety of Computer Vision and NLP pipelines.
  • Want to run high-end, the latest state-of-the-art models, but you lack GPU and RAM?

    • All implementation in Comet Box is done using Google Collab or Kaggle Kernels

Some key Features!!

* Run training and inference in one place.
* All the implementation of NLP tasks is done by using Hugging Face.
* Train your model over customer data very easily.

Who can use the Comet.Box?

🚩 Comet.Box templates are meant for those people who have intermediate knowledge of Object Detection, Segementation models, and Algorithms.

🚩 Comet.Box only provides you a basic template to kick start your initial part on any Detection, Segementation, Gans, NLP project or task. You would still need to add some custom cfg and other files according to your datasets or corpus.

Important Elements

  • A) Inference Engine
    • Original pre-trained models (from original authors and implementations) for inferencing and analyzing.
    • Pretrained models on coco, voc, cityscpaes, type datasets. It- Useful to analyze which algorithm works best for you.
    • Useful to generate semi-accurate annotations (coco, pascal-voc, yolo formats) on a new dataset.

Create real-world Object Detection applications

Wheat detection in field Multi-Human Pose Detection Ship Detection in Oceans on Satellite Images
Underwater Fish Detection Real-Time Object Detection on Crowd Real world Object Detection using Facebook DETR
Car Detection using YoloV5 Object Detection using RetinaNET Human Pose Detection using HRNET
Mask Detection using CNN Tiger Detection in wild using Yolov5

Gans and Transformer Applications

DeepFakes using GANS and AutoEncoders CGans on MNIST

Real world Segmentation Models

Real Time Segmentation on Videos using YolACT++ Medical Images Segementation using UNET Object Segmentation using Mask-RCNN

Classification Model's

COVID-19 Radiography Classification using Resnet18

Natural Language Processing

Sentence Classification using BERT Hugging Face Question/Answering using DistillBERT

🧿Visit Model Zoo DET for Detection Models👓

🧿Visit Model Zoo SEG for Segmentation Models👓

🧿Visit NLP Model Zoo for NLP SOTA Models👓

🧿Visit Classification Model Zoo for Classification Models👓

Want to Contribute or join us?

🚀 To contribute to Comet.Box repository raise an issue in the git-repo or dm on LinkedIn

📧 To Join us Shoot a mail to - Mail Here

Upcoming Updates

  • Detection Project:
    • ANPR
  • Segmentation using:
    • Mask-RCCN
    • Detectron-2
  • NLP Models
    • Fine Tune BERT
    • Elmo Model
    • DistilBERT
    • GPT-1 and GPT-2
  • Object Tracking

We would love to hear from you about your feedback!! 🥰

Contributors ✨

Thanks to these wonderful people

comet.box's People

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comet.box's Issues

New Project Idea : Human Emotion detection

Hey, so i am a little new to the project and was not exactly sure if the addition that i wished to make went hand in hand with the overall goal of this project but a few days earlier i was working on a project which required me to detect human emotions. The model was built using the Kaggle notebooks and the data set that i used was FER2013 competition data. So it would be great if you could let me know if i can work on making that a part of this project.

If you would like any more information from my end, please let me know. I am a GSSoC participant.

Template matching

I would like to add a project for template matching. One template will be taken and will be checked wheather it is in the input image.

Emotion Recognition

Hey.Please assign this issue to me.I want to make a detailed documentation on this task using deep learning algorithms

Mask Detection

I would like to add a project for mask detection. To be more precise, I would use datasets which contains multiple images and would detect whether the person is wearing mask or not. Then, determine the total number of person wearing and not wearing mask.
I am a participant of GSSOC'21

welcome bot

this bot basically welcomes and greets someone who open their first issue or make their first pr in a repo.

you can download the bot from here
https://github.com/apps/welcome

and another extra file needs to be added to set the custom messages

please assign it to me under gssoc'21

Add github action to auto label issues

Is your feature request related to a problem? Please describe.
Add github action to auto labels issues with gssoc21 label when contributor asks to work on the issue under gssoc label.

Brand Classification using DL

Create a Car Brand Classification Project
Tasks:

  • Uses Deep learning to detect car brands
  • I'm assuming to solve this using resnet50( transfer learning ) but let's see how it goes.
  • Dataset consists of Images of 3 different brands ( I'll give the dataset for download in a separate folder)
  • Add flask backend for web app

It will be added as part of Folder

I'd Like to work on this issue as part of GSSOC-21.

Face Recognition

Python programs to capture a user's face and generate dataset. Then detect and recognize the user's face by using opencv.

update contributing.md

hey I would like to add the following on contributing.md

  1. Update local and forked repo as changes are made in the upstream
  2. Squashing the commits into one single commit for easy merging
    I would like to do this under GSSOC'21

Background removal

I would like to add a project for background removal from a image.

Example: a image of person with garden in the background, after implementation of this feature we will have only the person parts of the garden would be removed.

Blurring face

I would like to add a project for blurring face. Here, I would detect face and then blur it.

Save the princess game

I would like to add a project in Java.
It will be a game where player will rescue a princess from a grid, avoiding the obstacles.

ELMo word vectors

Hello, I noticed the ELMo checkbox was unticked in the README. I've been working with ELMo and would like to contribute (as part of gssoc21).
What is required for a successful submission, an example notebook where it is used?

Classifying imagenet images using DL

Tasks Include :

Create a Vgg-19 Model for classifying imagenet images

Create a simple web app with Flask and Html/CSS/Js

Upload an image to predict the class of the image.

Dataset-Here

The dataset will be loaded in the code itself, We do not require any manual downloading as it's huge around 15GB.

It has over 200 classes with 100k+ images.
Once The application is done all you need to do is access the web app ( No training as I will be saving the model)

I'd like to work on this as part of the GSSOC-21.
Thanks

Add Pull Request Template

**Is your feature request related to a problem?
Add pull request template for contributers reference and message to follow contributors guidelines.

Build a Classification Model for COVID-19 Radiography Dataset

Statement.
Here a dataset has collected from kaggle. Here is the link - https://www.kaggle.com/tawsifurrahman/covid19-radiography-database . Here we get different images of X-Ray. We can say from X-Ray is it Covid-19 or Viral Pneumonia or Normal fever.

Solution
Here we build a model for classification using Pytorch. Afterwards we will calculate validation accuracy for test dataset and also plot graph of it.

Additional
We can compare the training time between a normal deep learning model and transfer learning model also.

Add Emotion Recognition under NLP Folder

Hello!! I have an NLP-based Project Idea.
Problem statement: Emotion Recogniser using NLP
I've been working on this already would be happy to add this project here.
Here is a glimpse

I'd Like to work on this issue as part of GSSoC'21.

Thanks.

Project : Using DCGAN To Generate Celebs Faces.

I'd Like to add Generating Face Project.
I would be using This Data set to generate faces of celebrities using DCGAN.( will be following the total pipeline)

Describe the solution you'd like
In this project, I'll define and train a DCGAN on a dataset of faces. the goal is to get a generator network to generate new images of faces that look as realistic as possible!
1.I'll use, CelebFaces Attributes Dataset (CelebA) to train the adversarial networks.
2.The project will be broken down into a series of tasks from loading in data to defining and training adversarial networks.
3.At the end of the notebook, We'll be able to visualize the results of the trained Generator to see how it performs.
4.I'll add Model pkl File and Images as well.

I'd like to work on this issue as part of GSSOC-21.
Thanks

<GSSoC'21> Iris Detection

Hi admin, Sayan here. I'm GSSoC'21 participant. I want to contribute in your project as it is more insightful.

I want to add a new feature "Iris Detection".
I've implemented it already.
Please assign me to this issue so I can contribute.

Punctuation corrector

I would like to add a project for punctuation corrector using NLP. Here, the punctuations given will be corrected from a set of data take as input.

Brain tumor Classification

I would like to add a project for brain tumor analysis. Here, I would use datasets containing images of the brain, from which I would detect whether a person is having brain tumor or not. And, then also classify the type of tumor.

FACE_EYE_DETECTION

Hi, I'm a Gssoc'21 Participant I would love to contribute to your project
I want to contribute the face_detection part to your repository in which I would like to add the face, eye, and nose detection part with the help of open-cv and python.

@Rishikeshrajrxl Kindly Please assign this part to me.

Spam detection

I would like to add a project for spam detection.
Here, I would take sample data from datasets and then detect whether it is a spam data or not.

Next word prediction using LSTM and BERT

Description
Given a sequence of words, next k words will be predicted using

  1. character-based LSTM models
  2. word-based LSTM models
  3. Transformer-based language model (i.e)BERT

After which I'll compare the performance of these models.
I am a GSSOC-21 participant, kindly assign this issue to me.

Open in Colab badge

Is your feature request related to a problem? Please describe.
I've noticed several notebooks on github have an "Open in Colab" badge that let's viewers quickly setup and experiment with the code. I think this would be a super useful feature.

Describe the solution you'd like

  1. Use the ColabBadge Action (repo maintainer will need to add this), and submit a PR that manually adds the {{badge}} to every existing notebook. This means that all new PRs will need to have a {{badge}} markdown cell.
  2. Create a new GitHub action that automatically adds a markdown cell with the badge to the top of a new notebook.

Additional context
Part of GSSoC'21

Add Implementation for Face detection using the YOLOv3

ALGO: The YOLOv3 (You Only Look Once) is a state-of-the-art, real-time object detection algorithm. The published model recognizes 80 different objects in images and videos.

In this project, I will create a Face Detection Script using YOLOv3 Algorithm.

Dependencies

Tensorflow
opencv-python
opencv-contrib-python
Numpy
Keras
Matplotlib
Pillow
I'd Like to work on this issue as part of GSSOC-21.

Ludo game

I would like to add a project for Ludo game in python.

Mask Detection using EfficientnetB3

On an additional note, I'd like to add a Live Webcam Feature to detect masks using EfficientNetB3.

Architecture :

tf.keras.applications.EfficientNetB3(
    include_top=True, weights='imagenet', input_tensor=None,
    input_shape=None, pooling=None, classes=1000,
    classifier_activation='softmax', **kwargs
)

Project Pipeline :

face mask detection- mtcnn

I'd like to work on this issue as part of GSSOC-21 and this will be implemented into This Folder.

Implementing GPT1 and GPT2

Hello!

Under the NLP Models, I noticed that GPT1 and GPT2 are unticked. Do you have a specific use in mind for these models? I would like to work with them as part of GSSOC 2021. Thanks!

Day or night mode

I would like to add a python script.
Here, it will autodetect whether to click a click in day or night mode.

Input will be a grid of pixels and output will be day or night

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