In file binary segmentation (camvid).ipynb, block 5, there is:

# Lets look at data we have
dataset = Dataset(x_train_dir, y_train_dir, classes=['car', 'pedestrian'])
image, mask = dataset[5] # get some sample
visualize(
    image=image, 
    cars_mask=mask[..., 0].squeeze(),
    sky_mask=mask[..., 1].squeeze(),
    background_mask=mask[..., 2].squeeze(),
)

here, sky_mask

for i, img in enumerate(images):
# 產生有框的 output files
create_overlay(img, results[i], voc_classes,
output_directory+"/{}.png".format(basename(os.path.splitext(imagesList[i])[0])))

TypeError Traceback (most recent call last)
in ()
29 # 產生有框的 output files
30 create_overlay

Describe the bug

Guide under Tensorflow.js heading needs an update, 'names' flag changed to 'name_policy ' according to latest commit?

Under supported layers heading, ConvTrsnpose2d==ConvTranspose2d?

This could become a very interesting project if combined with https://neurals-ro.github.io/keras-model-editor/
(https://github.com/neurals-ro/keras-model-editor )
Is the server able to save a model given in JSON?

This should grow into a full-remote for Keras:

• update the model
• ability to start batch learning
• monitor the learning, get email when done
• ability to download the weights

I'm not able to understand the generate_batch function in the word2vector. If someone knows how is this function working please let me know or can explain that function in the script

Thanks