# From Python # It requires OpenCV installed for Python import sys import cv2 import os from sys import platform import argparse import time # 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() try: # 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)