def test_video(vid, sc):
'''
calls all methods to test the given video
'''
MotionInfOfFrames, rows, cols = mig.getMotionInfuenceMap(vid, sc)
megaBlockMotInfVal = cmb.createMegaBlocks(MotionInfOfFrames, rows, cols)
codewords = np.load("/home/yash/work/project/unusual/code/codewords.npy")
#print("codewords",codewords)
listOfUnusualFrames = constructMinDistMatrix(megaBlockMotInfVal, codewords,
rows, cols, vid)
return
def train_from_video(vid):
'''
calls all methods to train from the given video
May return codewords or store them.
'''
print("Training From ", vid)
MotionInfOfFrames, rows, cols = mig.getMotionInfuenceMap(vid)
print("Motion Inf Map", len(MotionInfOfFrames))
#numpy.save("MotionInfluenceMaps", np.array(MotionInfOfFrames), allow_pickle=True, fix_imports=True)
megaBlockMotInfVal = cmb.createMegaBlocks(MotionInfOfFrames, rows, cols)
np.save(r"C:\Users\user\Downloads\Unusual-Human-Activity-Detection-master\Unusual-Human-Activity-Detection-master\Dataset\videos\scene1\megaBlockMotInfVal_set1_p1_train_40-40_k5.npy",megaBlockMotInfVal)
print(np.amax(megaBlockMotInfVal))
print(np.amax(reject_outliers(megaBlockMotInfVal)))
codewords = cmb.kmeans(megaBlockMotInfVal)
np.save(r"C:\Users\user\Downloads\Unusual-Human-Activity-Detection-master\Unusual-Human-Activity-Detection-master\Dataset\videos\scene1\codewords_set1_p1_train_40-40_k5.npy",codewords)
print(codewords)
return
def train_from_video(vid):
'''
calls all methods to train from the given video
May return codewords or store them.
'''
print "Training From ", vid
MotionInfOfFrames, rows, cols = mig.getMotionInfuenceMap(vid)
print "Motion Inf Map", len(MotionInfOfFrames)
#numpy.save("MotionInfluenceMaps", np.array(MotionInfOfFrames), allow_pickle=True, fix_imports=True)
megaBlockMotInfVal = cmb.createMegaBlocks(MotionInfOfFrames, rows, cols)
np.save("videos\scene1\megaBlockMotInfVal_set1_p1_train_40-40_k5.npy",
megaBlockMotInfVal)
print(np.amax(megaBlockMotInfVal))
print(np.amax(reject_outliers(megaBlockMotInfVal)))
codewords = cmb.kmeans(megaBlockMotInfVal)
np.save("videos\scene1\codewords_set1_p1_train_40-40_k5.npy", codewords)
print codewords
return
def label_video(vid):
'''
calls all methods to test the given video
'''
print "Labelling video ", vid
MotionInfOfFrames, rows, cols = mig.getMotionInfuenceMap(vid)
#np.save("videos\scene1\rows_cols_set1_p1_test_20-20_k5.npy",np.array([rows,cols]))
#######print "Motion Inf Map ", len(MotionInfOfFrames)
#numpy.save("MotionInfluenceMaps", np.array(MotionInfOfFrames), allow_pickle=True, fix_imports=True)
megaBlockMotInfVal = cmb.createMegaBlocks(MotionInfOfFrames, rows, cols)
######rows, cols = np.load("rows_cols__set3_p2_test_40_k3.npy")
#print(megaBlockMotInfVal)
np.save("megaBlockMotInfVal_set1_p1_test_20-20_k5.npy",megaBlockMotInfVal)
######megaBlockMotInfVal = np.load("megaBlockMotInfVal_set3_p2_train_40_k7.npy")
codewords = np.load("codewords_set2_p1_train_20-20_k5.npy")
print("codewords",codewords)
listOfUnusualFrames = constructMinDistMatrix(megaBlockMotInfVal,codewords,rows, cols, vid)
return
def train_from_video(vid, sc):
'''
calls all methods to train from the given video
May return codewords or store them.
'''
print "Training From ", vid
MotionInfOfFrames, rows, cols = mig.getMotionInfuenceMap(vid, sc)
#print "Motion Inf Map", len(MotionInfOfFrames)
#numpy.save("MotionInfluenceMaps", np.array(MotionInfOfFrames), allow_pickle=True, fix_imports=True)
megaBlockMotInfVal = cmb.createMegaBlocks(MotionInfOfFrames, rows, cols)
#np.save("/home/yash/work/project/unusual/code/videos/scene1/megaBlockMotInfVal_set1_p1_train_40-40_k5.npy",megaBlockMotInfVal)
# write_mega_block_to_file(megaBlockMotInfVal)
codewords = cmb.kmeans_map_reduce(megaBlockMotInfVal, sc)
#cmb.kmeans(megaBlockMotInfVal)
#sc.stop()
#sys.exit()
np.save("/codewords.npy",codewords)
return