93 lines
3.4 KiB
Python
93 lines
3.4 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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import argparse
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try:
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# Import Openpose (Windows/Ubuntu/OSX)
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# dir_path = os.path.dirname(os.path.realpath(__file__))
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dir_path = 'D:\\BJTU\\Python\\openpose-master\\build-2017'
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try:
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# Windows Import
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if platform == "win32":
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# Change these variables to point to the correct folder (Release/x64 etc.)
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sys.path.append(dir_path + '\\python\\openpose\\Release')
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os.environ['PATH'] = os.environ['PATH'] + ';' + dir_path + '\\x64\\Release;' + dir_path + '\\bin;'
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import pyopenpose as op
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else:
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# Change these variables to point to the correct folder (Release/x64 etc.)
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sys.path.append('../../python')
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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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from openpose import pyopenpose as op
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except ImportError as e:
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print(
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'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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raise e
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cap = cv2.VideoCapture(0)
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_, frame = cap.read()
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cv2.imwrite('fall_detection.jpg', frame)
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# Flags
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parser = argparse.ArgumentParser()
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parser.add_argument("--image_path",
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default="fall_detection.jpg",
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help="Process an image. Read all standard formats (jpg, png, bmp, etc.).")
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args = parser.parse_known_args()
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# Custom Params (refer to include/openpose/flags.hpp for more parameters)
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params = dict()
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params["model_folder"] = "D:\\BJTU\\Python\\openpose-master\\models\\"
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params['net_resolution'] = "-1x320"
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# Add others in path?
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for i in range(0, len(args[1])):
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curr_item = args[1][i]
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if i != len(args[1]) - 1:
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next_item = args[1][i + 1]
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else:
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next_item = "1"
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if "--" in curr_item and "--" in next_item:
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key = curr_item.replace('-', '')
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if key not in params: params[key] = "1"
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elif "--" in curr_item and "--" not in next_item:
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key = curr_item.replace('-', '')
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if key not in params: params[key] = next_item
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# Starting OpenPose
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opWrapper = op.WrapperPython()
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opWrapper.configure(params)
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opWrapper.start()
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# Construct it from system arguments
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# op.init_argv(args[1])
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# oppython = op.OpenposePython()
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while cap.isOpened():
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flag, frame = cap.read()
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kk = cv2.waitKey(1)
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# 按下 q 键退出
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if kk == ord('q'):
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break
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else:
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cv2.imwrite('fall_detection.jpg', frame)
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# Process Image
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datum = op.Datum()
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imageToProcess = cv2.imread(args[0].image_path)
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datum.cvInputData = imageToProcess
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opWrapper.emplaceAndPop([datum])
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# Display Image
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print("Body keypoints: \n" + str(datum.poseKeypoints))
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cv2.imshow("OpenPose 1.6.0 - Tutorial Python API", datum.cvOutputData)
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cap.release()
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cv2.destroyAllWindows()
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except Exception as e:
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print(e)
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sys.exit(-1)
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