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49 lines
2.0 KiB
Python
49 lines
2.0 KiB
Python
# From Python
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# It requires OpenCV installed for Python
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import sys
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import cv2
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import os
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from sys import platform
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# Remember to add your installation path here
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# Option a
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dir_path = os.path.dirname(os.path.realpath(__file__))
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if platform == "win32": sys.path.append(dir_path + '/../../python/openpose/');
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else: sys.path.append('../../python');
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# Option b
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# 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.
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# sys.path.append('/usr/local/python')
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# Parameters for OpenPose. Take a look at C++ OpenPose example for meaning of components. Ensure all below are filled
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try:
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from openpose import *
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except:
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raise Exception('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
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params = dict()
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params["logging_level"] = 3
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params["output_resolution"] = "-1x-1"
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params["net_resolution"] = "-1x368"
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params["model_pose"] = "BODY_25"
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params["alpha_pose"] = 0.6
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params["scale_gap"] = 0.3
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params["scale_number"] = 1
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params["render_threshold"] = 0.05
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# If GPU version is built, and multiple GPUs are available, set the ID here
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params["num_gpu_start"] = 0
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params["disable_blending"] = False
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# Ensure you point to the correct path where models are located
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params["default_model_folder"] = dir_path + "/../../../models/"
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# Construct OpenPose object allocates GPU memory
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openpose = OpenPose(params)
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while 1:
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# Read new image
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img = cv2.imread("../../../examples/media/COCO_val2014_000000000192.jpg")
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# Output keypoints and the image with the human skeleton blended on it
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keypoints, output_image = openpose.forward(img, True)
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# Print the human pose keypoints, i.e., a [#people x #keypoints x 3]-dimensional numpy object with the keypoints of all the people on that image
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print(keypoints)
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# Display the image
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cv2.imshow("output", output_image)
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cv2.waitKey(15)
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