[~] Refactor
This commit is contained in:
Siarhei Siniak
parent
d071e01cdc
commit
e4d5c45181
172
d1/mlb_player_v6.py
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172
d1/mlb_player_v6.py
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# https://raw.githubusercontent.com/hafizas101/Real-time-human-pose-estimation-and-classification/master/main.py
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# 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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from math import sqrt, acos, degrees, atan, degrees
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import numpy as np
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# ----------------------------------------- Arslan Part ----------------------------------------------------------------------------------
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def get_angle(a,b):
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#print(a)
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#print(b)
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del_y = a[1]-b[1]
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del_x = b[0]-a[0]
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if del_x == 0:
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del_x = 0.1
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#print("Del_X : "+str(del_x)+"-----Del_Y: "+str(del_y))
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angle = 0
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if del_x > 0 and del_y > 0:
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angle = degrees(atan(del_y / del_x))
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elif del_x < 0 and del_y > 0:
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angle = degrees(atan(del_y / del_x)) + 180
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return angle
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# ------------------------------------------------------------------------------------------------------------------------------------------
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# ----------------------------------------- Maksim Part ----------------------------------------------------------------------------------
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def angle_gor(a,b,c,d):
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ab=[a[0]-b[0],a[1]-b[1]]
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ab1=[c[0]-d[0],c[1]-d[1]]
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cos=abs(ab[0]*ab1[0]+ab[1]*ab1[1])/(sqrt(ab[0]**2+ab[1]**2)*sqrt(ab1[0]**2+ab1[1]**2))
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ang = acos(cos)
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return ang*180/np.pi
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def sit_ang(a,b,c,d):
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ang=angle_gor(a,b,c,d)
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s1=0
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if ang != None:
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#print("Angle",ang)
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if ang < 120 and ang>40:
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s1=1
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return s1
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def sit_rec(a,b,c,d):
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ab = [a[0] - b[0], a[1] - b[1]]
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ab1 = [c[0] - d[0], c[1] - d[1]]
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l1=sqrt(ab[0]**2+ab[1]**2)
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l2=sqrt(ab1[0]**2+ab1[1]**2)
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s=0
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if l1!=0 and l2!=0:
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#print(l1,l2, "---------->>>")
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if l2/l1>=1.5:
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s=1
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return s
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# ------------------------------------------------------------------------------------------------------------------------------------------
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# ----------------------------------------------------------- OpenPose Example Code ----------------------------------------------------------
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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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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('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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# Flags
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parser = argparse.ArgumentParser()
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parser.add_argument("--image_path", default="../../../examples/media/COCO_val2014_000000000192.jpg", 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"] = "/home/nvidia/openpose/models/"
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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: next_item = args[1][i+1]
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else: 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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# 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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c=0
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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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# ------------------------------------------------------- OUR CONTRIBUTIONS ----------------------------------------------------------------
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cam = cv2.VideoCapture(1)
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for i in range(1000):
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# Process Image
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datum = op.Datum()
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s, im = cam.read() # captures image
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#cv2.imshow("Test Picture", im) # displays captured image
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#im=cv2.resize(im,(480,270), interpolation = cv2.INTER_AREA)
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image1 = im
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#imageToProcess = cv2.imread(args[0].image_path)
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c+=1
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if c==8:
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c=0
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datum.cvInputData = image1
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opWrapper.emplaceAndPop([datum]) # OpenPose being applied to the frame image.
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# Display Image
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#print("Body keypoints: \n" + str(datum.poseKeypoints))
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#print(datum.poseKeypoints.shape)
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if len(datum.poseKeypoints.shape)>=2:
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x1=0
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x2=0
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for j in range(len(datum.poseKeypoints)):
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x1=0
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x2=0
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s=0
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s1=0
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ang1 = get_angle(datum.poseKeypoints[j][3], datum.poseKeypoints[j][4])
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ang2 = get_angle(datum.poseKeypoints[j][6], datum.poseKeypoints[j][7])
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if (30 < ang1 < 150):
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x1 = 1
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if (30 < ang2 < 150):
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x2 = 1
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x3 = x1+x2
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if (x3 == 1):
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print("The {} person says: HELLO !".format(j+1))
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#cv2.putText(datum.cvOutputData,'OpenPose using Python-OpenCV',(20,30), cv2.FONT_HERSHEY_SIMPLEX, 1,(255,255,255),1,cv2.LINE_AA)
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elif (x3 == 2):
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print("The {} person says: STOP PLEASE !".format(j+1))
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s += sit_rec(datum.poseKeypoints[j][9], datum.poseKeypoints[j][10],datum.poseKeypoints[j][10],datum.poseKeypoints[j][11])
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s += sit_rec(datum.poseKeypoints[j][12], datum.poseKeypoints[j][13],datum.poseKeypoints[j][13],datum.poseKeypoints[j][14])
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s1+=sit_ang(datum.poseKeypoints[j][9], datum.poseKeypoints[j][10],datum.poseKeypoints[j][10],datum.poseKeypoints[j][11])
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s1+=sit_ang(datum.poseKeypoints[j][12], datum.poseKeypoints[j][13],datum.poseKeypoints[j][13],datum.poseKeypoints[j][14])
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if s > 0 or s1>0:
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print("The {} person is sitting".format(j+1))
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if s == 0 and s1 == 0:
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print("The {} person is standing".format(j+1))
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print("___________________________")
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print(" ")
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im=cv2.resize(datum.cvOutputData,(960,540), interpolation = cv2.INTER_AREA)
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cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", im)
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cv2.waitKey(1)
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# ------------------------------------------------------------------------------------------------------------------------------------------
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