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dataset
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dataset
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from deepgtav.messages import Start, Stop, Dataset, frame2numpy, Scenario, Commands
from deepgtav.client import Client
import argparse
import time
import cv2
# Stores a dataset file with data coming from DeepGTAV
if __name__ == '__main__':
parser = argparse.ArgumentParser(description=None)
parser.add_argument('-l', '--host', default='localhost', help='The IP where DeepGTAV is running')
parser.add_argument('-p', '--port', default=8000, help='The port where DeepGTAV is running')
parser.add_argument('-d', '--dataset_path', default='dataset.pz', help='Place to store the dataset')
args = parser.parse_args()
# Creates a new connection to DeepGTAV using the specified ip and port.
# If desired, a dataset path and compression level can be set to store in memory all the data received in a gziped pickle file.
client = Client(ip=args.host, port=args.port, datasetPath=args.dataset_path, compressionLevel=9)
# Configures the information that we want DeepGTAV to generate and send to us.
# See deepgtav/messages.py to see what options are supported
dataset = Dataset(rate=10, frame=[320,200], throttle=True, brake=True, steering=True, vehicles=True, peds=True, reward=[15.0, 0.0], direction=None, speed=True, yawRate=True, location=True, time=True)
# Send the Start request to DeepGTAV.
scenario = Scenario(drivingMode=[786603,15.0]) # Driving style is set to normal, with a speed of 15.0 mph. All other scenario options are random.
client.sendMessage(Start(dataset=dataset,scenario=scenario))
# Start listening for messages coming from DeepGTAV. We do it for 80 hours
stoptime = time.time() + 80*3600
i = 0
while time.time() < stoptime:
try:
# We receive a message as a Python dictionary
message = client.recvMessage()
# The frame is a numpy array and can be displayed using OpenCV or similar
image = frame2numpy(message['frame'], (320,160))
#cv2.imshow('img',image)
cv2.imwrite(str(i) + '.png', image)
# cv2.waitKey(-1)
except KeyboardInterrupt:
break
i = i + 1
# We tell DeepGTAV to stop
client.sendMessage(Stop())
client.close()