openpose/examples/tutorial_api_python/09_keypoints_from_heatmaps.py

# From Python
# It requires OpenCV installed for Python
import sys
import cv2
import os
from sys import platform
import argparse
import numpy as np

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_000000000294.jpg", help="Process an image. Read all standard formats (jpg, png, bmp, etc.).")
 args = parser.parse_known_args()

 # Load image
 imageToProcess = cv2.imread(args[0].image_path)

 def get_sample_heatmaps():
 # These parameters are globally set. You need to unset variables set here if you have a new OpenPose object. See *
 params = dict()
 params["model_folder"] = "../../../models/"
 params["heatmaps_add_parts"] = True
 params["heatmaps_add_bkg"] = True
 params["heatmaps_add_PAFs"] = True
 params["heatmaps_scale"] = 3
 params["upsampling_ratio"] = 1
 params["body"] = 1

 # Starting OpenPose
 opWrapper = op.WrapperPython()
 opWrapper.configure(params)
 opWrapper.start()

 # Process Image and get heatmap
 datum = op.Datum()
 imageToProcess = cv2.imread(args[0].image_path)
 datum.cvInputData = imageToProcess
 opWrapper.emplaceAndPop(op.VectorDatum([datum]))
 poseHeatMaps = datum.poseHeatMaps.copy()
 opWrapper.stop()

 return poseHeatMaps

 # Get Heatmap
 poseHeatMaps = get_sample_heatmaps()

 # Starting OpenPose
 params = dict()
 params["model_folder"] = "../../../models/"
 params["body"] = 2 # Disable OP Network
 params["upsampling_ratio"] = 0 # * Unset this variable
 opWrapper = op.WrapperPython()
 opWrapper.configure(params)
 opWrapper.start()

 # Pass Heatmap and Run OP
 datum = op.Datum()
 datum.cvInputData = imageToProcess
 datum.poseNetOutput = poseHeatMaps
 opWrapper.emplaceAndPop(op.VectorDatum([datum]))

 # Display Image
 print("Body keypoints: \n" + str(datum.poseKeypoints))
 cv2.imshow("OpenPose 1.7.0 - Tutorial Python API", datum.cvOutputData)
 cv2.waitKey(0)
except Exception as e:
 print(e)
 sys.exit(-1)