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plantdiseasedetection's Issues

Unable To detect other Diseases rather than LateBlight

Hello @2052sagar,

I had successfully run the project at first i had run the cnn.py and generated the model and finish the training also later in run ui.py and tested the few images but i am getting the same disease name lateblight for every Image
can you clarify me whether i am doing right or wrong and please help me in this

Thanks & Regards,
Manikantha.

Happy cooding....

about the dataset

1、what kind of plant it is in your train and test dataset?
2、in train dataset,does the first name of .jpg files such as"b , h , i , v" mean different kinds of diseases?And what is the name of the four diseases?

need your help and hope for your reply! Thank you !

Extending Current model

Hi Sagar,

can you please let us know if there is plan to extend model for additional disease.
if no, can you please let us know how to extend this model for additional disease for tomato itself.
what i understood, we need to add respective image with proper name and same can be used in cnn.py. but somehow i am not able to achieve it.
can you please help.

Extend the model

Hello every one,
I planning to extend the model with few more Diseased plants like i want to take 6 type of plants and their diseased leaves i was planning to trained that model and i would like test that model i need you help for developing the model using your code cnn.py and ui.py to run the scripts to get the output
could you help me in this.

Thanks and Regards,
Manikantha.

Happy codding...

no output after this "model loaded!"

PlantDiseaseDetection-master$ python ui.py
0it [00:00, ?it/s]
WARNING:tensorflow:From /home/gokul/.local/lib/python2.7/site-packages/tflearn/initializations.py:119: init (from tensorflow.
python.ops.init_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.initializers.variance_scaling instead with distribution=uniform to get equivalent behavior.
model loaded!
Tkinter works fine but after click on analyse image nothing will happened!!

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