Tahsin-Mayeesha

import cv2
import numpy as np
import time

cap = cv2.VideoCapture(0)
time.sleep(1)
background = 0
for i in range(30):
    ret, background = cap.read()

Tahsin-Mayeesha

"""Official evaluation script for SQuAD version 2.0.

In addition to basic functionality, we also compute additional statistics and
plot precision-recall curves if an additional na_prob.json file is provided.
This file is expected to map question ID's to the model's predicted probability
that a question is unanswerable.
"""
import argparse
import collections
import json

Tahsin-Mayeesha

class LanguageClassifier(tf.train.Checkpoint):
    def __init__(self,language_module,num_labels,dense_units=(128,128),dropouts=(0.1,0.1)):
        
        # initialization stuff
        super(LanguageClassifier,self).__init__()
        self.language_module = language_module
        self.model_encoder = language_module.model
        
        
        # classifier head layers

Tahsin-Mayeesha

---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in get_attr(self, name)
   2325       with c_api_util.tf_buffer() as buf:
-> 2326         c_api.TF_OperationGetAttrValueProto(self._c_op, name, buf)
   2327         data = c_api.TF_GetBuffer(buf)

InvalidArgumentError: Operation 'StatefulPartitionedCall' has no attr named '_XlaCompile'.

During handling of the above exception, another exception occurred:

Tahsin-Mayeesha

Tahsin Mayeesha is currently working with Berkman Klein Center Of Internet and Society on interactive network visualization project as a participant of Google Summer Of Code 2018. Previously, she worked in Cramstack on electricity data, a data science startup in Bangladesh focusing on consulting and government project. Currently she's an undergraduate student in North South University, Bangladesh majoring in computer science. She runs "Learning Machine Learning" publication in Medium featuring tutorials and projects. Mayeesha graduated from Udacity's Machine Learning Nanodegree in 2017 and also participated in Fast.ai as an international fellow.

Tahsin-Mayeesha

import math
import networkx as nx
from itertools import combinations
from utils import set_node_size
from fa2l import force_atlas2_layout


def get_distance(pos1,pos2):
    """ Returns distance between two points
    

Tahsin-Mayeesha

def set_node_color(G,color_by,colormap=None):
    """ 
    Returns a list of colors for each node based on the provided colormap. 
    
    Parameters 
    ___________
    
    G : graph.
        A networkx graph.
        

Tahsin-Mayeesha

# this has to be first to make sure that matplotlib runs in headless mode
import matplotlib
matplotlib.use("Agg")

import sys
import numpy as np
import warnings
warnings.filterwarnings('ignore')

from fa2l import force_atlas2_layout

Tahsin-Mayeesha

Tahsin-Mayeesha