I have written a code that takes a file list and trains the neural network. Be careful when changing any of the network initialization parameters:
https://github.com/sjhalayka/python_o...
See get_files.py for the code to generate the two file lists (training data and testing data).
See ann_image.py for the main code that reads in the file lists and trains / tests the network.
... and @berak is right, 512x512x3 is too many input neurons. I haven’t the physical memory to store that many neurons (and connection weights, etc).
I edited the main code to resize the images from 512x512 to 64x64. It's super easy, just call the cv2.resize function.
Asked: 2018-04-25 11:15:28 -0600
Seen: 1,181 times
Last updated: May 02 '18
use a neural network, and train (consecutively) with small image-batches ?
But my previous model training will be over-written every time I use a different batch
there's an UPDATE flag, that can be passed to the train method on the 2nd (and further) run, will make a more detailled post tomorrow.
Here is some code where noisy images are fed into the neural network:
https://github.com/sjhalayka/opencv_i...
@sjhalayka, why not make a complete answer here, mentioning (and explaining the use of) ANN_MLP::TrainFlags::UPDATE_WEIGHTS and so on ?
@Akash... how about you generate a smaller set of images and zip them up and upload them to GitHub?
Also, while you're at it, make a text file with each line containing an image name and its classification. How many classifications are there in total?
Once I have that I can write you a full example.
Thank you for your assistance sjhalakya I have 101 classes each having 1000 images. https://github.com/akashjoshi123/Imag... is the link it is a very small subset of my dataset the meta folder has all the 101 class labels of the original dataset.
Alright. In the meantime, check out the source code that I linked to.
Also, have you tried your own C++ code?
Ahh, too bad... you're using Python. I have no idea how to do a neural network using Python. Sorry about that!
Thank you for your valuable time @sjhalayka.Extremely sorry I missed the python tag while posting the question