1.pathology_A : Contains all pathology a type images
2.pathology_B : Contains all pathology b type images
3.tech_challenge:-->identify.py : The main file used for classification task
4. writeup: The short report of observations
5.pathology_A_HSV_analysis: HSV figures of pathology A generated during the exploratory process
6.pathology_B_HSVanalysis: HSV figures of pathology B generated during he exploratory process
Files generated
1.svm_model_poly_trained.sav : The training model generated during training if selected
Installation and Execution
To install and run the program:
1. Unzip the contents
2. cd to proscia/tech_challenge
3. Run python idenify_slide.py [followed by the path of the image you want to test] using command line for example : python identify_slide.py ../pathology_A/10.png
4. The command prompt will ask user to either enter 1 for classifying using ML or enter 0 for classifying using computer vision methods5. Output will be either A or B