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tensorflow-keras

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captainst
captainst commented Oct 15, 2019

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

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

  • Updated May 29, 2020
  • Jupyter Notebook

With the help of OpenCV and Deep Learning CNN algorithm performing some action with hand gesture though webcam like I'm playing chrome browser famous game dinosaur jump. And for CNN model I have collected my own Dataset by capturing 350+ images.

  • Updated Mar 22, 2020
  • Jupyter Notebook

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