Face Feature(s) Detection with OpenCV

import cv2


face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("haarcascade_eye.xml")
smile_cascade = cv2.CascadeClassifier("haarcascade_smile.xml")


cap = cv2.VideoCapture(0)

while True:
    ret, img = cap.read()
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]

        smile = smile_cascade.detectMultiScale(
            roi_gray,
            scaleFactor=1.6,
            minNeighbors=35,
            minSize=(25, 25),
            flags=cv2.CASCADE_SCALE_IMAGE
        )

        for (x, y, w, h) in smile:
            print("Smile Detected")
            cv2.rectangle(roi_color, (x, y), (x + w, y + h), (255, 255, 0), 2)

        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

    cv2.imshow('img', img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break

cap.release()
cv2.destroyAllWindows()

^ The above script detects facial features such as face,eyes and smile.There are tons of pre-trained haarcascades available for OpenCV that you can use to detect objects such as Moving cars, traffic signs etc.

 

drawaframe – A simple way to generate decorative frames for CLI applications

I wrote a small python module to help create decorative intro’s for CLI application.It’s also my first PyPi module 😀

Example

from drawaframe import Draw


Draw.draw_char("*", 20)

Draw.ndraw(14, 6, "", "|")

Draw.draw_char("*", 20)
/usr/bin/python3.6 /home/z/PycharmProjects/draw/playground.py
********************
|                   |
|                   |
|                   | 
|                   |
|                   |
|                   |
********************

Process finished with exit code 0


you can install drawaframe by running pip install command:

sudo -H pip install drawaframe

GitHub

PyPi

Whirlpool hashing with OpenSSL in C++

#include <iostream>
#include <cstring>
#include <openssl/whrlpool.h>

using namespace std;

int main(int argc, char** argv) {

 cout << "you have entered:" << argv[1] << endl;

 char hash = argv[1][0];

 unsigned char digest[WHIRLPOOL_DIGEST_LENGTH];
 char tohash[] = {hash};

 WHIRLPOOL((unsigned char*)&tohash,strlen(tohash),(unsigned char*)&digest);

 char mdString[300];

 for(int i = 0; i < 64; i++)
 sprintf(&mdString[i*2], "%02x", (unsigned int)digest[i]);

 printf("whirlpool digest: %s\n", mdString);

 return 0;
}
[email protected]:~/CLionProjects/playground$ g++ main.cpp -o whash -lcrypto
[email protected]:~/CLionProjects/playground$ ./whash "Hello World"
you have entered:Hello World
whirlpool digest: c0cb42019e235d0c82318d44aab396357457c1d4aaa8b2721d39893b78b80b7db2e2ef6cf1f3d3fdc7f4ffd471f8d46c8a057b68188796b6f4d1574be7af8df0

Yahoo! cricket (proxy) API /w Django + RESTful Framework.

UPDATE 30-1-2018: Function updated to work on new Yahoo! Cricket API.

 

import requests
import json


def yahoo_cric_api(match_id):
    url = "https://cricket.yahoo.net/sifeeds/cricket/live/json/{}.json".format(match_id)
    response = requests.request("GET", url)
    json_data = json.loads(response.text)
    return json_data

 

A small django app mirror for yahoo! cricket API.It just calls Yahoo! cricket api when a request is made and return’s json response.

 

UPDATE:

Live:

https://x.extrapi.top/cric/MATCH_ID/