semvec/pypi-packages huggingface dataset:
Topsis-HarshitaSingh-102003499 0.5
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

## Topsis_HarshitaSingh

# TOPSIS

**Submitted By**: Harshita Singh - 102003499.

Description: **Evaluation of alternatives based on multiple criteria using TOPSIS method.**.

---

## How to install this package:

```
>> pip install Topsis_HarshitaSingh_102003499
```

### In Command Prompt

```
>> python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>
```
fpstracker 1.0.0
A Python package to detect and calculate the webcam frame rate per second in any system.
Requires Python: >=3.8

# FPS Tracker

fps_tracker helps to detect and measure the webcam's frame rate per second in any system

This frame rate depends on both the computational speed and the webcam's capability as usual.

### You can install using pip:

```
pip3 install fpstracker
```

### Import package:

```
import cv2
import time
from fpstracker import Tracker
```

### You can call the module using the syntax:

```
trackfps.FPS(img, pos1, Average_FPS, pos2)
```

- img is the frame in which the FPS will be calculated and displayed
- pos1 is the pixel position of the measured FPS in text
- Average_FPS is the average FPS measured for every 5 seconds. This argument is optional and default is set to True
- pos2 is the pixel postion of the average FPS in text 

### Sample python program:

```
import cv2
import time
from fpstracker import Tracker
cap = cv2.VideoCapture(0)
trackfps = Tracker()
while True:
    ret, image = cap.read()
    img = trackfps.FPS(img = image)
    cv2.imshow('Frames', img)
    k = cv2.waitKey(1)
    if k & 0xFF == 27:
        break
cv2.destroyAllWindows()
```