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Update global.py #5

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Update global.py #5

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8 changes: 4 additions & 4 deletions global.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
# tunable-parameters
#--------------------
images_per_class = 80
fixed_size = tuple((300, 300))
fixed_size = tuple((500, 500))
train_path = "dataset/train"
h5_data = 'output/data.h5'
h5_labels = 'output/labels.h5'
Expand Down Expand Up @@ -49,7 +49,7 @@ def fd_histogram(image, mask=None):
train_labels = os.listdir(train_path)

# sort the training labels
train_labels.sort()
#train_labels.sort()
print(train_labels)

# empty lists to hold feature vectors and labels
Expand All @@ -65,7 +65,7 @@ def fd_histogram(image, mask=None):
current_label = training_name

# loop over the images in each sub-folder
for x in range(1,images_per_class+1):
for x in range(0,images_per_class):
# get the image file name
# file = dir + "/" + str(x) + ".jpg"
file = dir + "/" + "{}_{}.jpg".format(training_name, int(training_name)*100 + x)
Expand Down Expand Up @@ -98,7 +98,7 @@ def fd_histogram(image, mask=None):
print("[STATUS] feature vector size {}".format(np.array(global_features).shape))

# get the overall training label size
print("[STATUS] training Labels {}".format(np.array(labels).shape))
print("[STATUS] training Labels size {}".format(np.array(labels).shape))

# encode the target labels
targetNames = np.unique(labels)
Expand Down