def nnw():
det = Detector()
global result
while True:
if(len(frame) != 0):
result = det.process_img(frame)
def __init__(self):
self.filename = "file.jpg"
#modelPath = 'research/ssd_mobilenet_v1_coco_2017_11_17'
self.objectDetection = Detector(self.filename)
from PIL import Image
from flask import send_file
import time
from urllib.parse import unquote
def get_dataDict(data):
data_dict={}
for text in data.split("&"):
key,value=text.split("=")
value_1=unquote(value)
data_dict[key]=value_1
return data_dict
app = Flask(__name__)
detector = Detector()
# detector.detectNumberPlate('twocar.jpg')
@app.route("/")
def index():
return render_template('index.html')
@app.route("/", methods=['POST'])
def upload():
if request.method == 'POST':
startTime=time.time()
received_file = request.files['file']
imageFileName = received_file.filename
if received_file:
import socket
import sys
import threading
import cv2
import numpy as np
import time
import copy
from ObjectDetector import Detector
from random import randint
det = Detector()
while True:
then = time.time()
path = "C:/Users/jalak/Desktop/car/Self-Driving-Car/production/drive/pics/0" + str(1021) + ".jpg"
frame = cv2.imread(path,-1)
result = det.process_img(frame)
print(time.time() -then)
from ObjectDetector import Detector
import io
from flask import Flask, render_template, request, send_from_directory, send_file, Response,jsonify
from PIL import Image
import requests
import os
import img_transforms
from flask_cors import CORS, cross_origin
from com_ineuron_firensmoke.com_ineuron_utils.utils import decodeImage
app = Flask(__name__)
detector = Detector(filename="file.jpg")
RENDER_FACTOR = 35
os.putenv('LANG', 'en_US.UTF-8')
os.putenv('LC_ALL', 'en_US.UTF-8')
app = Flask(__name__)
CORS(app)
# @cross_origin()
class ClientApp:
def __init__(self):
self.filename = "file.jpg"
#modelPath = 'research/ssd_mobilenet_v1_coco_2017_11_17'
self.objectDetection = Detector(self.filename)
def run_inference(img_path = 'file.jpg'):
from flask import Flask, render_template, Response
import cv2
from ObjectDetector import Detector
app = Flask(__name__)
dect = Detector()
camera = cv2.VideoCapture(0) # use 0 for web camera
# for cctv camera use rtsp://username:password@ip_address:554/user=username_password='******'_channel=channel_number_stream=0.sdp' instead of camera
def gen_frames(): # generate frame by frame from camera
while True:
# Capture frame-by-frame
success, frame = camera.read() # read the camera frame
frame = dect.detectObject(frame)
if not success:
break
else:
# ret, buffer = cv2.imencode('.jpg', frame)
# frame = buffer.tobytes()
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n'
) # concat frame one by one and show result
@app.route('/video_feed')
def video_feed():
"""Video streaming route. Put this in the src attribute of an img tag."""
return Response(gen_frames(),
mimetype='multipart/x-mixed-replace; boundary=frame')
def upload():
if request.method == 'POST':
file = Image.open(request.files['file'].stream) #ambil file
file = file.resize((200,300), Image.ANTIALIAS) #resize , biar sesuai sama target size di tf
det = Detector()
return(det.detectObject(file))#panggil fungsi detect ,parameter file yg di upload atau request via api
import os
import cv2
from PIL import Image
from ObjectDetector import Detector
# frame
currentframe = 1
object_detector = Detector()
# Read the video from specified path
cam = cv2.VideoCapture("VIRAT.mp4") # VIRAT dataset
cam.set(cv2.CAP_PROP_FPS, 30)
fps = cam.get(cv2.CAP_PROP_FPS)
while True:
# reading from frame
ret, frame = cam.read()
if ret:
frame = Image.fromarray(frame, 'RGB')
# video is still left continue creating images
object_detector.ROI(frame)
currentframe += 1
else:
break
# Release all space and windows once done
object_detector.release()
cam.release()
cv2.destroyAllWindows()
def video_feed():
return Response(gen(Detector()),
mimetype='multipart/x-mixed-replace; boundary=frame')
from ObjectDetector import Detector
import io
from flask import Flask, render_template, request
from PIL import Image
from flask import send_file
app = Flask(__name__)
detector1 = Detector()
# detector.detectNumberPlate('twocar.jpg')
@app.route("/")
def index():
return render_template('index.html')
if __name__ == "__main__":
app.run()