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demo.py
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demo.py
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import argparse
import logging
logger = logging.getLogger(__name__)
import signal
import time
import traceback
import actfw
from actfw.task import Pipe, Task, Consumer
import cv2
import numpy as np
from PIL import Image
from actfw_opencv import OpenCVCamera, CenterCropScale, OpenCVApplication
# detector
from hand_detector import select_detector
# pose
from hand_pose import select_pose
# task
from hand_tasks import DetectorTask, PoseTask
from act_utils import Sequential
# presenter
from presenter import DesktopPresenter
from config import CAPTURE_WIDTH, CAPTURE_HEIGHT
def main_desktop(args):
# desktop users only
capture = cv2.VideoCapture(0)
logger.info("CAP_PROP_FPS {}".format(capture.get(cv2.CAP_PROP_FPS)))
# testout your camera works
ret_val, img = capture.read()
if not ret_val:
raise Exception("OpenCV Camera Error")
file_type = args.file_type
if file_type == "npz":
# left right class
detector_path = "../../result/release"
# one class
# detector_path = "../../result/release_oneclass"
pose_path = "../../result/release"
elif file_type == "nnoir":
detector_path = "./"
pose_path = "./"
else:
ValueError("invalid file_type {}".format(file_type))
preprocessor = CenterCropScale(inH=CAPTURE_HEIGHT, inW=CAPTURE_WIDTH, color="RGB")
detector = select_detector(detector_path, file_type)
pose = select_pose(pose_path, file_type)
hand_class = detector.param["hand_class"]
# setup Task: Producer,Consumer or Pipe etc...
cam = OpenCVCamera(preprocessor, capture)
dt = DetectorTask(detector, hand_class, capH=CAPTURE_HEIGHT, capW=CAPTURE_WIDTH)
pt = PoseTask(pose, hand_class)
presenter = DesktopPresenter(hand_class, pose.param["edges"])
seq = Sequential([dt, pt])
# connect tasks
cam.connect(seq)
seq.connect(presenter)
# setup application
app = OpenCVApplication(capture_color=cam.color)
app.register_task(cam)
app.register_task(seq)
seq.register_app(app)
app.register_task(presenter)
# run
app.run()
def parse_argument():
parser = argparse.ArgumentParser(description="Hand Pose Estimation")
parser.add_argument("--file_type", type=str, choices=["npz", "nnoir"], default="npz")
args = parser.parse_args()
return args
if __name__ == '__main__':
# desktop mode
logging.basicConfig(level=logging.INFO)
args = parse_argument()
main_desktop(args)