File size: 3,393 Bytes
3bbb319 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
# 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)
|