Built some mid-scaled machine learning models using supervised and unsupervised -An application which detects objects present in a still image,Built some mid-scaled machine learning models using supervise
杰索普: # This function is from https://github.com/rock-learning/pytransform3d/blob/7589e083a50597a75b12d745ebacaa7cc056cfbd/pytransform3d/rotations.py#L302 """ Compute rotation matrix fromIntrin
Built some mid-scaled machine learning models using supervised and unsupervised which results in 90% less videos to watch, Used image Food Calorie Estimator
-An android app to estimate calories p
IMG_SIZE=160 image = tf.cast(image, tf.float32) #cast to convertinteger values in pixels to float32 image = tf.image.resize(image,rate since it is a pr
def resample(image, transform): This function resamples (updates) an image using a specifiedtransform :param transform: An sitk transform:return: The transformed sitk image