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

# 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')
        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="/openpose/examples/media/COCO_val2014_000000000192.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"] = "/openpose/models/"
# params["face"] = True
params["hand"] = True
# 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

# 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()

# Process Image
datum = op.Datum()
imageToProcess = cv2.imread(args[0].image_path)
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop(op.VectorDatum([datum]))

# Display Image
print("Body keypoints: \n" + str(datum.poseKeypoints))
print("Face keypoints: \n" + str(datum.faceKeypoints))
print("Left hand keypoints: \n" + str(datum.handKeypoints[0]))
print("Right hand keypoints: \n" + str(datum.handKeypoints[1]))
cv2.imwrite("/data/result_body.jpg",datum.cvOutputData)

print(dir(datum))
#    cv2.imshow("OpenPose 1.7.0 - Tutorial Python API", datum.cvOutputData)
#    cv2.waitKey(0)