yolo_sample.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Mar  3 11:49:11 2018

@author: abeythomas
"""

import cv2
from darkflow.net.build import TFNet
import numpy as np
import time
import os

options = {
    'model': 'cfg/yolo.cfg',
    'load': 'bin/yolo.weights',
    'threshold': 0.2,
    'gpu': 1.0
}

tfnet = TFNet(options)
colors = [tuple(255 * np.random.rand(3)) for _ in range(10)]

capture = cv2.VideoCapture(0)
capture.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
# Get current width of frame
width = capture.get(cv2.CAP_PROP_FRAME_WIDTH)   # float
# Get current height of frame
height = capture.get(cv2.CAP_PROP_FRAME_HEIGHT) # float

FILE_OUTPUT = 'output.avi'
if os.path.isfile(FILE_OUTPUT):
    os.remove(FILE_OUTPUT)

# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'X264')
out = cv2.VideoWriter(FILE_OUTPUT,fourcc, 20.0, (int(width),int(height)))

while True:
    stime = time.time()
    ret, frame = capture.read()
    results = tfnet.return_predict(frame)
    if ret:
        for color, result in zip(colors, results):
            tl = (result['topleft']['x'], result['topleft']['y'])
            br = (result['bottomright']['x'], result['bottomright']['y'])
            label = result['label']
            confidence = result['confidence']
            text = '{}: {:.0f}%'.format(label, confidence * 100)
            frame = cv2.rectangle(frame, tl, br, color, 5)
            frame = cv2.putText(
                frame, text, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2)
        out.write(frame)
        cv2.imshow('frame', frame)
        print('FPS {:.1f}'.format(1 / (time.time() - stime)))
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

capture.release()
cv2.destroyAllWindows()