rasbt

# Setup:
# conda create -n whisper python=3.9
# conda activate whisper
# https://github.com/openai/whisper
# pip install git+https://github.com/openai/whisper.git 

# Usage:
# python whisper-audio-to-text.py --audio_dir my_files --out_dir texts

import argparse

ariG23498

class TransformerBlock(layers.Layer):
    """A generic Transformer block with MHSA and MLP layers.

    Args:
        config: The configuration of the architecture.
    """
    def __init__(self, config, **kwargs):
        super().__init__(**kwargs)
        self.config = config
        self.layer_norm1 = layers.LayerNormalization(

sksavant

# This is the problem for First technical round for the role of Computer Vision Engineer at Vectorly
# More details at https://www.linkedin.com/jobs/view/1629909785/
#
# Write a function which will segment and extract the text overlay "Bart & Homer's EXCELLENT Adventure" 
# Input image is at https://vectorly.io/demo/simpsons_frame0.png
# Output : Image with only the overlay visible and everything else white
# 
# Note that you don't need to extract the text, the output is an image with only 
# the overlay visible and everything else (background) white
#

soply

import matplotlib.pyplot as plt
import numpy as np

def show_images(images, cols = 1, titles = None):
    """Display a list of images in a single figure with matplotlib.
    
    Parameters
    ---------
    images: List of np.arrays compatible with plt.imshow.