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- # From Python
- # It requires OpenCV installed for Python
- import sys
- import cv2
- import os
- from sys import platform
- import argparse
- import time
- try:
- # Import Openpose (Windows/Ubuntu/OSX)
- dir_path = os.path.dirname(os.path.realpath(__file__))
- try:
- # Windows Import
- if platform == "win32":
- # Change these variables to point to the correct folder (Release/x64 etc.)
- sys.path.append(dir_path + '/../../python/openpose/Release');
- os.environ['PATH'] = os.environ['PATH'] + ';' + dir_path + '/../../x64/Release;' + dir_path + '/../../bin;'
- import pyopenpose as op
- else:
- # Change these variables to point to the correct folder (Release/x64 etc.)
- sys.path.append('../../python');
- # If you run `make install` (default path is `/usr/local/python` for Ubuntu), you can also access the OpenPose/python module from there. This will install OpenPose and the python library at your desired installation path. Ensure that this is in your python path in order to use it.
- # sys.path.append('/usr/local/python')
- from openpose import pyopenpose as op
- except ImportError as e:
- print('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
- raise e
- # Flags
- parser = argparse.ArgumentParser()
- parser.add_argument("--image_path", default="../../../examples/media/COCO_val2014_000000000241.jpg", help="Process an image. Read all standard formats (jpg, png, bmp, etc.).")
- args = parser.parse_known_args()
- # Custom Params (refer to include/openpose/flags.hpp for more parameters)
- params = dict()
- params["model_folder"] = "../../../models/"
- params["hand"] = True
- params["hand_detector"] = 2
- params["body"] = 0
- # Add others in path?
- for i in range(0, len(args[1])):
- curr_item = args[1][i]
- if i != len(args[1])-1: next_item = args[1][i+1]
- else: next_item = "1"
- if "--" in curr_item and "--" in next_item:
- key = curr_item.replace('-','')
- if key not in params: params[key] = "1"
- elif "--" in curr_item and "--" not in next_item:
- key = curr_item.replace('-','')
- if key not in params: params[key] = next_item
- # Construct it from system arguments
- # op.init_argv(args[1])
- # oppython = op.OpenposePython()
- # Starting OpenPose
- opWrapper = op.WrapperPython()
- opWrapper.configure(params)
- opWrapper.start()
- # Read image and face rectangle locations
- imageToProcess = cv2.imread(args[0].image_path)
- handRectangles = [
- # Left/Right hands person 0
- [
- op.Rectangle(320.035889, 377.675049, 69.300949, 69.300949),
- op.Rectangle(0., 0., 0., 0.),
- ],
- # Left/Right hands person 1
- [
- op.Rectangle(80.155792, 407.673492, 80.812706, 80.812706),
- op.Rectangle(46.449715, 404.559753, 98.898178, 98.898178),
- ],
- # Left/Right hands person 2
- [
- op.Rectangle(185.692673, 303.112244, 157.587555, 157.587555),
- op.Rectangle(88.984360, 268.866547, 117.818230, 117.818230),
- ]
- ]
- # Create new datum
- datum = op.Datum()
- datum.cvInputData = imageToProcess
- datum.handRectangles = handRectangles
- # Process and display image
- opWrapper.emplaceAndPop([datum])
- print("Left hand keypoints: \n" + str(datum.handKeypoints[0]))
- print("Right hand keypoints: \n" + str(datum.handKeypoints[1]))
- cv2.imshow("OpenPose 1.5.1 - Tutorial Python API", datum.cvOutputData)
- cv2.waitKey(0)
- except Exception as e:
- print(e)
- sys.exit(-1)
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