Resolved the bug in v1. This annotation tool mainly focused on the bug number #6 from the github issue. The bug is when you annotate the same text from the para which is occurred more than two times, the annotation would be take the same index values for all text. …

Code: app.py from flask import Flask, Response import cv2 app = Flask(__name__) video = cv2.VideoCapture(0) @app.route('/') def index(): return "Default Message" def gen(video): while True: success, image = video.read() ret, jpeg = cv2.imencode('.jpg', image) frame = jpeg.tobytes() yield (b'--frame\r\n' b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')

In this tutorial, I will explain how to expose the rest api using python flask in Google Colab. I have used ngrok for making the public ip from our local. So download the ngrok and extract it. !wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip !unzip -o ngrok-stable-linux-amd64.zip ‘!’ command used for run the linux command…

Chat application but it’s a one way messaging system This is blog explain how to steaming the message using redis. The Redis is a python library to streaming message with publisher and subscriber. This is a one way chat, don’t have the reply option in this application. Sender only send…

Speed ​​and accuracy are both improved The Yolov4 released by Alexey Bochkovskiy and there are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of combinations of such features on large datasets, and theoretical justification of the result, is required. …

Before you will check this blog when you are going to read this blog. Because I have explained how to track the object using Euclidean distance by referring to the previous frame. In this blog explains how to track each object by referring to the ’n’ previous frame. The ’n’…

In my previous blog, I have explained what is object detection and how to detect and track multiple objects. In this blog, I explain how to track each object from the video. …

This blog explains, how to train and get the named entity from my own training data using spacy and python. This blog explains, what is spacy and how to get the named entity recognition using spacy. Now I have to train my own training data to identify the entity from…

What is spaCy(v2): spaCy is an open-source software library for advanced Natural Language Processing, written in the programming languages Python and Cython. The library is published under the MIT license and currently offers statistical neural network models for English, German, Spanish, Portuguese, French, Italian, Dutch and multi-language NER, as well as tokenization for…