darknet_video.py

from ctypes import *
import math
import random
import os
import cv2
import numpy as np
import time
import darknet
import server
from _thread import *
from queue import Queue
from queue import LifoQueue

tq = LifoQueue()

def update_queue(q):
	while True:
		data = q.get()
		tq.put(data)

def convertBack(x, y, w, h):
    xmin = int(round(x - (w / 2)))
    xmax = int(round(x + (w / 2)))
    ymin = int(round(y - (h / 2)))
    ymax = int(round(y + (h / 2)))
    return xmin, ymin, xmax, ymax


def cvDrawBoxes(detections, img):
    print(detections)
    for detection in detections:
        x, y, w, h = detection[2][0],\
            detection[2][1],\
            detection[2][2],\
            detection[2][3]
        xmin, ymin, xmax, ymax = convertBack(
            float(x), float(y), float(w), float(h))
        pt1 = (xmin, ymin)
        pt2 = (xmax, ymax)
        cv2.rectangle(img, pt1, pt2, (0, 255, 0), 1)
        cv2.putText(img,
                    detection[0].decode() +
                    " [" + str(round(detection[1] * 100, 2)) + "]",
                    (pt1[0], pt1[1] - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5,
                    [0, 255, 0], 2)
    return img


netMain = None
metaMain = None
altNames = None


def YOLO():

    global metaMain, netMain, altNames
    configPath = "./cfg/yolov3.cfg"
    weightPath = "./yolov3.weights"
    metaPath = "./cfg/coco.data"
    if not os.path.exists(configPath):
        raise ValueError("Invalid config path `" +
                         os.path.abspath(configPath)+"`")
    if not os.path.exists(weightPath):
        raise ValueError("Invalid weight path `" +
                         os.path.abspath(weightPath)+"`")
    if not os.path.exists(metaPath):
        raise ValueError("Invalid data file path `" +
                         os.path.abspath(metaPath)+"`")
    if netMain is None:
        netMain = darknet.load_net_custom(configPath.encode(
            "ascii"), weightPath.encode("ascii"), 0, 1)  # batch size = 1
    if metaMain is None:
        metaMain = darknet.load_meta(metaPath.encode("ascii"))
    if altNames is None:
        try:
            with open(metaPath) as metaFH:
                metaContents = metaFH.read()
                import re
                match = re.search("names *= *(.*)$", metaContents,
                                  re.IGNORECASE | re.MULTILINE)
                if match:
                    result = match.group(1)
                else:
                    result = None
                try:
                    if os.path.exists(result):
                        with open(result) as namesFH:
                            namesList = namesFH.read().strip().split("\n")
                            altNames = [x.strip() for x in namesList]
                except TypeError:
                    pass
        except Exception:
            pass
    #cap = cv2.imecode(data,1)
    #cap = cv2.VideoCapture(0)
    #cap = cv2.VideoCapture("test.mp4")
    #cap.set(3, 1280)
    #cap.set(4, 720)
    out = cv2.VideoWriter(
        "output.avi", cv2.VideoWriter_fourcc(*"MJPG"), 10.0,
        (darknet.network_width(netMain), darknet.network_height(netMain)))
    print("Starting the YOLO loop...")

    # Create an image we reuse for each detect
    darknet_image = darknet.make_image(darknet.network_width(netMain),
                                    darknet.network_height(netMain),3)
    while True:
        data = tq.get()
        frame_read = cv2.imdecode(data,1)
        prev_time = time.time()
        #ret, frame_read = cap.read()
        frame_rgb = cv2.cvtColor(frame_read, cv2.COLOR_BGR2RGB)
        frame_resized = cv2.resize(frame_rgb,
                                   (darknet.network_width(netMain),
                                    darknet.network_height(netMain)),
                                   interpolation=cv2.INTER_LINEAR)
        print(darknet.network_width(netMain),darknet.network_height(netMain))

        darknet.copy_image_from_bytes(darknet_image,frame_resized.tobytes())

        detections = darknet.detect_image(netMain, metaMain, darknet_image, thresh=0.25)
        
        if len(detections) != 0:
            st = str(len(detections))
            for i in range(len(detections)):
                st1 = ""
                for j in range(len(detections[i])):
                    st1 = st1 + str(detections[i][j]) + "/"
                st = st + st1
            #print(st)
            s.send(st)

        #print(detections)
        image = cvDrawBoxes(detections, frame_resized)
        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        #print(1/(time.time()-prev_time))
        cv2.imshow('Demo', image)
        cv2.waitKey(3)
        tq.task_done()
    cap.release()
    out.release()

if __name__ == "__main__":
    s = server.ServerSocket()
    s.removeAllClients()
    s.stop()
    s.start("141.223.65.209", 3000)
    start_new_thread(update_queue, (s.queue,))
    YOLO()