working generators + model tests

src/__import__.py

@@ -1,2 +1,3 @@
 from consts import *
-from helpers import *
+from helpers import *
+from metrics import *

src/consts.py

@@ -2,10 +2,10 @@ import pandas as pd
 FEATURES ='../data/train_features'
 LABELS  = '../data/train_labels'
 JPG_IMAGES = '../images'
-RGB_DIR = "rgb"
-FC_DIR = "fc"
-MASK_DIR = "mask"
-METADATA = pd.read_csv('../data/train_metadata.csv')
+RGB_DIR = "rgb/img"
+FC_DIR = "fc/img"
+MASK_DIR = "mask/img"
+# METADATA = pd.read_csv('../data/train_metadata.csv')
 
 BATCH = 8
 IMG_SIZE = (512,512)

src/loss.py

@@ -1,5 +1,5 @@
 import tensorflow as tf
-from metrics import IOU
+from src.metrics import IOU
 
 
 class jaccard_loss(tf.keras.losses.Loss):

src/setup.py

@@ -25,6 +25,5 @@ if __name__ == "__main__":
             if(not os.path.exists(os.path.join(dp, d +'.jpeg')) or not os.path.exists(os.path.join(fc, d +'.jpeg')) or not os.path.exists(os.path.join(mk, d +'.jpeg'))):
                 convert_tif_to_jpg(os.path.join(FEATURES, d), os.path.join(LABELS, d + ".tif"),  dp, fc, mk)
     elif(sys.argv[1] == '--show'):
-        
         img_names = [random.choice(os.listdir(dp)) for _ in range(3)]
         plot_image_grid(img_names)