Join slack here
Find datasets here
Find saved_models here Replace saved_models uploaded to github by this folder.
Our aim is to build a web interface for the models.
- Clone this repo
cd DNN-master
- Start jupyter noterbook to view the ipynb files
- To run the app goto
cd Django app
- Create virtual environment (Delete env folder used here since it may not work in your environment)
- Install dependencies by
pip3 install -r requirements.txt
- Replace saved_models uploaded to github with the drive folder provided in the link here
- Run the app by
python3 manage.py runserver
- Click on
Choose file
- Take input from
Django app/test images
or from any other source you wish
Check code snippets for # @Todo
. Change the code there as per requirements mentioned in the comments below. Refer to respective Readme in outputs directory.
Files where @ Todo can be found are:
- load_saved_model.py
- views.py
Now | Expected |
---|---|
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PLEASE DOWNLOAD THE DATASETS. INSTRUCTIONS PROVIDED IN THE TABLE BELOW
Name | Dataset & Downloads | File |
---|---|---|
Brain Tumor | Pretrained model vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5 |
Tumor.ipynb |
Image Captions | Kaggle Flikr image dataset & Pretrained model vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5 |
Image Captions.ipynb |
Voice Recognition | https://www.openslr.org/12 |
Voice Recognition.ipynb |
Banana Ripeness Detection | here | Banana.ipynb |
Stock Price Prediction | Alphavantage API | Stocks.ipynb |
Sarcasm Detection | Sarcasm Detection.ipynb |
|
Leaf Identification | Leaf snap dataset | Leaf.ipynb |
Handwritten Text recognition | IAM handwriting dataset Top 50 (kaggle) | Handwritten.ipynb |
Object Detection | Yolopretrained model | object_detection.py |