neuralBlack
neuralBlack copied to clipboard
aksh-ai
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
Hey, in the code for preparing the brain tumor dataset, there are a few corrections that I noticed: - undefined Variable border: In the loop where you are iterating over...
Dear authors: Recently I have read your project. And I have the question, is that do the project have the paper or tutorial? And how could I download the dataset?...
HTTPConnectionPool(host='localhost', port=5000): Max retries exceeded with url: /predict (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused...
Hi there! I did all the installation as mentioned in the readme yet when I tried `test.py`, it gave me a wrong classification for each image that I used.
Hi there! I was following your project and it's really good. I was wondering if it's possible to deploy this model (.pt file) on Heroku or something so that I...
--------------------------------------------------------------------------- IndexError Traceback (most recent call last) in () 3 img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB) 4 img = cv2.resize(img, (512, 512)) ----> 5 label = y[i-1] 6 training_data.append([img, label]) 7 IndexError:...
Error
When I run the training loop, I get the following error: _--------------------------------------------------------------------------- OSError Traceback (most recent call last) in () 20 21 # train in batches ---> 22 for b,...
Hi Please could you kindly check this notebook: https://github.com/aksh-ai/neuralBlack/blob/master/brain_tumor_dataset_preparation.ipynb for possible code error? NameError Traceback (most recent call last) in () 9 labels.append(int(label)) 10 ---> 11 border.append(coord) 12 img =...
