├── videoSample ├── tbbt.mp4 ├── tbbt.mp4.track.mp4 ├── tbbt.mp4.shots.json └── tbbt.mp4.track.txt ├── croppedFaces ├── tbbt.mp4_1.0.avi ├── tbbt.mp4_10.0.avi ├── tbbt.mp4_11.0.avi ├── tbbt.mp4_13.0.avi ├── tbbt.mp4_14.0.avi ├── tbbt.mp4_15.0.avi ├── tbbt.mp4_17.0.avi ├── tbbt.mp4_2.0.avi ├── tbbt.mp4_4.0.avi ├── tbbt.mp4_6.0.avi ├── tbbt.mp4_7.0.avi ├── tbbt.mp4_8.0.avi └── tbbt.mp4_9.0.avi ├── README.md └── faceCrop.py /videoSample/tbbt.mp4: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DevendraPratapYadav/face-extraction-from-video/HEAD/videoSample/tbbt.mp4 -------------------------------------------------------------------------------- /croppedFaces/tbbt.mp4_1.0.avi: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DevendraPratapYadav/face-extraction-from-video/HEAD/croppedFaces/tbbt.mp4_1.0.avi 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-------------------------------------------------------------------------------- /videoSample/tbbt.mp4.track.mp4: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DevendraPratapYadav/face-extraction-from-video/HEAD/videoSample/tbbt.mp4.track.mp4 -------------------------------------------------------------------------------- /videoSample/tbbt.mp4.shots.json: -------------------------------------------------------------------------------- 1 | {"pyannote": "Timeline", "content": [{"start": 0.0, "end": 0.04}, {"start": 0.04, "end": 2.36}, {"start": 2.36, "end": 4.72}, {"start": 4.72, "end": 8.0}, {"start": 8.0, "end": 13.76}, {"start": 13.76, "end": 15.8}, {"start": 15.8, "end": 19.72}]} -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Face extraction and crop from video 2 | Extract cropped face video segments from an input video using OpenCV and Python 3 | 4 | ## This project is currently in progress 5 | 6 | ### Dependencies: 7 | 1. OpenCV 8 | 2. Python 3.5 9 | 3. pyannote-video 10 | 11 | ### Input : 12 | 1. Video file to be processed is placed in 'videoSample' folder. 13 | 2. Perform face detection and tracking on video using pyannote-video to generate a txt file containing face bounding box at each frame. 14 | 15 | Format : Each line in txt file contains 'time xmin ymin xmax ymax correlationType' 16 | 17 | Eg. '0.000 0 0.514 0.200 0.665 0.469 detection' 18 | 19 | Sample file: videoSample/tbbt.mp4.track.txt. 20 | 21 | ### Output : 22 | Cropped face videos are written to 'croppedFaces' folder. 23 | 24 | ### Run using: 25 | 26 | python faceCrop.py 27 | 28 | Example 29 | ```sh 30 | python faceCrop.py "tbbt.mp4" "tbbt.mp4.track.txt" videoSample 31 | ``` 32 | -------------------------------------------------------------------------------- /faceCrop.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import cv2 3 | import os 4 | import sys 5 | import pdb 6 | 7 | 8 | MIN_VIDEO_LENGTH = 2 # in seconds. face segments smaller than this are ignored 9 | 10 | TRACK_SMOOTH_NUMFRAMES = 10 # number of past frames to look at for smoothing tracking 11 | 12 | ROI_SCALE = 1.3; 13 | 14 | SKIP_FRAMES_NUM = 5; 15 | 16 | def show(img, wait): 17 | cv2.imshow('image',img) 18 | cv2.waitKey(wait) 19 | 20 | def PV(arr): 21 | for x in arr: 22 | print (x); 23 | 24 | def PNN(ss): 25 | print(ss,end=', ',flush=True) 26 | 27 | 28 | def getFrame(cap,i,show): 29 | cap.set(1, i) 30 | ret, frame = cap.read() 31 | if (show==1): 32 | cv2.imshow('frame',frame); 33 | cv2.waitKey(0); 34 | return frame; 35 | 36 | def readFile(fil): 37 | lines = []; 38 | with open(fil) as f: 39 | lines = f.readlines() 40 | return lines; 41 | 42 | def viewVideo(vid): 43 | 44 | frameNo = 0; 45 | 46 | while(True): 47 | ret, frame = vid.read() 48 | 49 | if ret == True: 50 | frameNo+=1; 51 | 52 | # Write the frame into the file 'output.avi' 53 | # out.write(frame) 54 | # PNN(frameNo); 55 | 56 | # Display the resulting frame 57 | cv2.imshow('frame',frame) 58 | 59 | # Press Q on keyboard to stop recording 60 | if cv2.waitKey(1) & 0xFF == ord('q'): 61 | break 62 | 63 | # Break the loop 64 | else: 65 | break 66 | 67 | 68 | def cropFrame(vid, time, roi): 69 | # roi is in [1, num_pixels] 70 | 71 | frame_width = int(vid.get(3)) 72 | frame_height = int(vid.get(4)) 73 | total_frames = int(vid.get(7)) 74 | FPS = vid.get(cv2.CAP_PROP_FPS) 75 | 76 | # pdb.set_trace(); 77 | 78 | frameNo = int(time*FPS)+1 79 | 80 | if (frameNo<0 or frameNo>total_frames): 81 | print("ERROR : frameNo:",frameNo, " is invalid.") 82 | return None; 83 | 84 | frame = getFrame(vid, frameNo, 0); 85 | 86 | roi = list(map(int,roi)) 87 | 88 | xmin = roi[0]; 89 | xmax = roi[2]; 90 | ymin = roi[1]; 91 | ymax = roi[3]; 92 | 93 | 94 | if (xmin<0 or xmax>frame_width or ymin<0 or ymax>frame_height): 95 | print("ERROR : ymin,ymax, xmin,xmax : ", ymin,", ",ymax,", ", xmin,", ",xmax); 96 | return None 97 | 98 | cropped = frame[ymin:ymax, xmin:xmax, :] 99 | 100 | return cropped; 101 | 102 | 103 | # START PROGRAM 104 | 105 | if (len(sys.argv) < 3): 106 | print("Usage: python faceCrop ") 107 | 108 | videoFile = sys.argv[1]; 109 | trackFile = sys.argv[2]; 110 | folder = sys.argv[3]; 111 | videoFile=folder+'/'+videoFile; 112 | trackFile=folder+'/'+trackFile; 113 | 114 | print(videoFile, "\n", trackFile); 115 | 116 | # READ VIDEO 117 | 118 | vid = cv2.VideoCapture(videoFile); 119 | 120 | # Default resolutions of the frame are obtained.The default resolutions are system dependent. 121 | # We convert the resolutions from float to integer. 122 | frame_width = int(vid.get(3)) 123 | frame_height = int(vid.get(4)) 124 | total_frames = int(vid.get(7)) 125 | FPS = vid.get(cv2.CAP_PROP_FPS) 126 | 127 | # Define the codec and create VideoWriter object.The output is stored in 'outpy.avi' file. 128 | # out = cv2.VideoWriter('outpy.avi',cv2.VideoWriter_fourcc('M','J','P','G'), 30, (frame_width,frame_height)) 129 | 130 | print("height:",frame_height,", width:",frame_width, ", total_frames:",total_frames, ", FPS:", FPS) 131 | 132 | 133 | 134 | # READ TRACK 135 | lines = readFile(trackFile); 136 | 137 | # dict containing all detection for each face. indexed by face number 138 | faces = {}; 139 | 140 | for x in lines: 141 | x = (x.split(' ')) 142 | x = list(map(float,x[0:-1])); 143 | if (x[1] not in faces): 144 | faces[x[1]] = [] 145 | 146 | faces[x[1]].append([x[0],x[2],x[3],x[4],x[5]]) 147 | 148 | # break; 149 | 150 | croppedFacesPath = 'croppedFaces/' 151 | 152 | def convertToPixels(roi, vid): 153 | 154 | frame_width = int(vid.get(3)) 155 | frame_height = int(vid.get(4)) 156 | 157 | xmin = int(roi[0]*frame_width); 158 | xmax = int(roi[2]*frame_width); 159 | ymin = int(roi[1]*frame_height); 160 | ymax = int(roi[3]*frame_height); 161 | 162 | roi = [xmin,ymin,xmax,ymax]; 163 | return roi 164 | 165 | def getMeanRoi(rois,vid): 166 | rois = np.array(rois); 167 | rois = rois[:,1:]; # remove time 168 | 169 | meanROI = np.mean(rois,0) 170 | meanROI = convertToPixels(meanROI, vid); 171 | 172 | return meanROI 173 | 174 | def checkROI(roi, vid): 175 | frame_width = int(vid.get(3)) 176 | frame_height = int(vid.get(4)) 177 | 178 | if (roi[0]<0 or roi[2]>frame_width or roi[1]<0 or roi[3]>frame_height): 179 | return 0 180 | 181 | return 1; 182 | 183 | def getROIPixelCenter(roi,vid): 184 | roi = convertToPixels(roi,vid); 185 | 186 | cx = int((roi[0]+roi[2])/2) 187 | cy = int((roi[1]+roi[3])/2) 188 | 189 | return cx,cy 190 | 191 | 192 | def getROIRelativeCenter(roi,vid): 193 | 194 | cx = (roi[0]+roi[2])/2.0 195 | cy = (roi[1]+roi[3])/2.0 196 | 197 | return cx,cy 198 | 199 | def resizeROI(roi, meanROI,smoothCenters, roi_scale, vid): 200 | # roi is in [0,1] 201 | # meanROI is in [1,num_pixels] 202 | 203 | roi = np.array(roi); 204 | meanROI = np.array(meanROI); 205 | 206 | MW = int((meanROI[2]-meanROI[0])*roi_scale); # mean width 207 | MH = int((meanROI[3]-meanROI[1])*roi_scale); # mean height 208 | 209 | roi = convertToPixels(roi,vid); 210 | 211 | # cx,cy = getROIPixelCenter(roi,vid) 212 | SC = np.array(smoothCenters) 213 | # print ("SC:",SC) 214 | 215 | # get smoothened center 216 | cx = int(np.mean(SC,0)[0]); 217 | cy = int(np.mean(SC,0)[1]); 218 | 219 | # print (cx,",",cy) 220 | 221 | xmin = cx-MW/2 222 | ymin = cy-MH/2 223 | xmax = cx+MW/2 224 | ymax = cy+MH/2 225 | 226 | # resizedROI = [cx-MW/2 , cy-MH/2, cx+MW/2, cy+MH/2 ]; 227 | resizedROI = [xmin, ymin, xmax, ymax]; 228 | 229 | if (checkROI(resizedROI,vid) == 0): 230 | print("Dropping ROI:",resizedROI); 231 | resizedROI = roi # this should be resized later 232 | 233 | return resizedROI; 234 | 235 | 236 | for f in faces.items(): 237 | print("Face :",f[0], "Time:", f[1][0][0]," to ",f[1][-1][0]); 238 | 239 | if ( ( f[1][-1][0] - f[1][0][0] ) < MIN_VIDEO_LENGTH ): 240 | continue; 241 | 242 | # PV(f[1]); 243 | 244 | # print(f[1]) 245 | 246 | # out = cv2.VideoWriter('outpy.avi',cv2.VideoWriter_fourcc('M','J','P','G'), 30, (frame_width,frame_height)) 247 | 248 | # fourcc = cv2.VideoWriter_fourcc(*'XVID') 249 | fourcc = cv2.VideoWriter_fourcc('M','J','P','G') 250 | # videoName = croppedFacesPath+str(f[0])+'.avi'; 251 | videoName = croppedFacesPath+"/"+videoFile.split('/')[1]+"_"+str(f[0])+'.avi'; 252 | 253 | meanROI = getMeanRoi(f[1],vid); 254 | 255 | print ("meanROI: ",meanROI); 256 | oMW = int(meanROI[2]-meanROI[0]); # mean width 257 | oMH = int(meanROI[3]-meanROI[1]); # mean height 258 | 259 | frame_width = int(vid.get(3)) 260 | frame_height = int(vid.get(4)) 261 | 262 | # Scale ROI region 263 | MW = int( oMW*ROI_SCALE ) 264 | MH = int( oMH*ROI_SCALE ) 265 | 266 | roi_scale = ROI_SCALE; 267 | 268 | if (MW<0 or MH<0 or MW>frame_width or MH>frame_height): 269 | roi_scale = 1.0; 270 | MW = oMW; 271 | MH = oMH; 272 | 273 | outVideoSize = (MW,MH) 274 | out = cv2.VideoWriter(videoName,fourcc, FPS, outVideoSize) 275 | 276 | 277 | smoothCenters = []; 278 | 279 | 280 | segmentFrames = len(f[1]); 281 | frameNum = 0; 282 | for fr in f[1]: 283 | frameNum+=1; 284 | # skip first few and last few frames 285 | if (frameNum(segmentFrames- SKIP_FRAMES_NUM )): 286 | continue; 287 | 288 | # ROI in fr[1:]. format: [xmin,ymin,xmax,ymax] as in tracking txt file 289 | 290 | cx,cy = getROIPixelCenter(fr[1:],vid); 291 | 292 | if (len(smoothCenters)<1 ): 293 | for ind in range(0,TRACK_SMOOTH_NUMFRAMES): 294 | smoothCenters.append([cx,cy]) 295 | 296 | # remove oldest center and add current 297 | temp = smoothCenters.pop(0); 298 | smoothCenters.append([cx,cy]); 299 | # print(len(smoothCenters)); 300 | 301 | # resize roi to crop region of mean width and height 302 | resizedROI = resizeROI(fr[1:], meanROI, smoothCenters,roi_scale, vid); 303 | 304 | # if (checkROI(resizedROI,vid) == 0): 305 | # print("Dropping ROI:",resizedROI); 306 | # continue; 307 | 308 | # print ("resizedROI: ",resizedROI); 309 | 310 | cropped = cropFrame(vid,fr[0], resizedROI); 311 | 312 | # check if roi or frameNo is invalid. If yes, remove its file 313 | if (cropped is None): 314 | print("Face:",f[0], "bounds error(roi or frameNo).") 315 | print("deleting file:", videoName) 316 | out.release() 317 | os.remove(videoName); 318 | break; 319 | 320 | cropped = cv2.resize(cropped, outVideoSize) # REMOVE THIS and crop single size roi from video 321 | 322 | # print("Cropping frame:",f[0]," - ", fr); 323 | # show(cropped,2); 324 | 325 | out.write(cropped) 326 | 327 | cv2.destroyAllWindows() 328 | out.release() 329 | 330 | # viewVideo(vid); 331 | 332 | """ 333 | for i in range(0,200): 334 | PNN(str(i)) 335 | ff = getFrame(vid, i, 1); 336 | """ 337 | # When everything done, release the video capture and video write objects 338 | vid.release() 339 | # out.release() 340 | 341 | # Closes all the frames 342 | cv2.destroyAllWindows() 343 | 344 | -------------------------------------------------------------------------------- /videoSample/tbbt.mp4.track.txt: -------------------------------------------------------------------------------- 1 | 0.000 0 0.514 0.200 0.665 0.469 detection 2 | 0.040 1 0.514 0.190 0.667 0.463 backward 3 | 0.080 1 0.521 0.192 0.678 0.471 backward 4 | 0.120 1 0.516 0.194 0.672 0.471 backward 5 | 0.160 1 0.515 0.196 0.668 0.469 backward 6 | 0.200 1 0.514 0.198 0.664 0.465 backward 7 | 0.240 1 0.515 0.202 0.661 0.463 backward 8 | 0.280 1 0.506 0.200 0.654 0.467 backward 9 | 0.320 1 0.502 0.200 0.652 0.465 backward 10 | 0.360 1 0.493 0.196 0.646 0.469 backward 11 | 0.400 1 0.488 0.200 0.639 0.469 backward 12 | 0.440 1 0.487 0.200 0.638 0.469 backward 13 | 0.480 1 0.480 0.200 0.631 0.469 detection 14 | 0.520 1 0.473 0.198 0.623 0.465 forward+backward 15 | 0.560 1 0.470 0.198 0.619 0.465 forward+backward 16 | 0.600 1 0.467 0.196 0.617 0.465 forward+backward 17 | 0.640 1 0.465 0.194 0.616 0.463 forward+backward 18 | 0.680 1 0.464 0.192 0.616 0.463 forward+backward 19 | 0.720 1 0.466 0.188 0.616 0.456 forward+backward 20 | 0.760 1 0.467 0.185 0.614 0.448 forward+backward 21 | 0.800 1 0.465 0.177 0.614 0.444 forward+backward 22 | 0.840 1 0.464 0.175 0.613 0.442 forward+backward 23 | 0.880 1 0.466 0.175 0.613 0.438 forward+backward 24 | 0.920 1 0.466 0.173 0.616 0.440 forward+backward 25 | 0.960 1 0.464 0.171 0.614 0.440 detection 26 | 1.000 1 0.464 0.185 0.617 0.456 forward+backward 27 | 1.040 1 0.472 0.190 0.623 0.458 forward+backward 28 | 1.080 1 0.474 0.194 0.624 0.460 forward+backward 29 | 1.120 1 0.481 0.196 0.633 0.467 forward+backward 30 | 1.160 1 0.486 0.200 0.637 0.469 forward+backward 31 | 1.200 1 0.491 0.202 0.641 0.471 forward+backward 32 | 1.240 1 0.492 0.204 0.641 0.471 forward+backward 33 | 1.280 1 0.496 0.202 0.645 0.467 forward+backward 34 | 1.320 1 0.492 0.200 0.640 0.465 forward+backward 35 | 1.360 1 0.493 0.198 0.640 0.463 forward+backward 36 | 1.400 1 0.486 0.194 0.636 0.458 forward+backward 37 | 1.440 1 0.480 0.200 0.631 0.469 detection 38 | 1.480 1 0.477 0.196 0.629 0.465 forward+backward 39 | 1.520 1 0.473 0.196 0.623 0.463 forward+backward 40 | 1.560 1 0.470 0.198 0.617 0.460 forward+backward 41 | 1.600 1 0.464 0.194 0.614 0.463 forward+backward 42 | 1.640 1 0.458 0.194 0.607 0.463 forward+backward 43 | 1.680 1 0.454 0.194 0.607 0.467 forward+backward 44 | 1.720 1 0.452 0.194 0.604 0.465 forward+backward 45 | 1.760 1 0.456 0.196 0.606 0.465 forward+backward 46 | 1.800 1 0.458 0.194 0.607 0.463 forward+backward 47 | 1.840 1 0.459 0.196 0.610 0.465 forward+backward 48 | 1.880 1 0.460 0.198 0.610 0.467 forward+backward 49 | 1.920 1 0.464 0.200 0.614 0.469 detection 50 | 1.960 1 0.465 0.202 0.617 0.473 forward 51 | 2.000 1 0.466 0.208 0.617 0.477 forward 52 | 2.040 1 0.467 0.212 0.617 0.479 forward 53 | 2.080 1 0.468 0.215 0.619 0.483 forward 54 | 2.120 1 0.470 0.215 0.620 0.485 forward 55 | 2.160 1 0.473 0.221 0.623 0.487 forward 56 | 2.200 1 0.477 0.229 0.626 0.496 forward 57 | 2.240 1 0.474 0.231 0.629 0.506 forward 58 | 2.280 1 0.478 0.237 0.633 0.515 forward 59 | 2.360 2 0.422 0.190 0.574 0.460 backward 60 | 2.400 2 0.414 0.200 0.564 0.469 detection 61 | 2.440 2 0.415 0.202 0.567 0.473 forward+backward 62 | 2.480 2 0.411 0.210 0.561 0.477 forward+backward 63 | 2.520 2 0.410 0.210 0.560 0.477 forward+backward 64 | 2.560 2 0.407 0.210 0.554 0.473 forward+backward 65 | 2.600 2 0.410 0.208 0.558 0.475 forward+backward 66 | 2.640 2 0.404 0.208 0.553 0.473 forward+backward 67 | 2.680 2 0.404 0.206 0.554 0.473 forward+backward 68 | 2.720 2 0.398 0.206 0.548 0.473 forward+backward 69 | 2.760 2 0.395 0.204 0.547 0.475 forward+backward 70 | 2.800 2 0.387 0.204 0.537 0.473 forward+backward 71 | 2.840 2 0.386 0.200 0.537 0.471 forward+backward 72 | 2.880 2 0.380 0.200 0.530 0.469 detection 73 | 2.920 2 0.375 0.194 0.526 0.463 forward+backward 74 | 2.960 2 0.373 0.196 0.523 0.465 forward+backward 75 | 3.000 2 0.364 0.194 0.518 0.467 forward+backward 76 | 3.040 2 0.366 0.190 0.519 0.463 forward+backward 77 | 3.080 2 0.360 0.190 0.509 0.456 forward+backward 78 | 3.120 2 0.357 0.185 0.509 0.456 forward+backward 79 | 3.160 2 0.352 0.188 0.501 0.454 forward+backward 80 | 3.200 2 0.347 0.183 0.494 0.446 forward+backward 81 | 3.240 2 0.339 0.177 0.488 0.446 forward+backward 82 | 3.280 2 0.334 0.177 0.484 0.444 forward+backward 83 | 3.320 2 0.329 0.177 0.478 0.442 forward+backward 84 | 3.360 2 0.329 0.171 0.480 0.440 detection 85 | 3.400 2 0.333 0.177 0.475 0.429 forward+backward 86 | 3.440 2 0.332 0.177 0.474 0.429 forward+backward 87 | 3.480 2 0.335 0.177 0.479 0.433 forward+backward 88 | 3.520 2 0.340 0.175 0.484 0.431 forward+backward 89 | 3.560 2 0.342 0.177 0.485 0.429 forward+backward 90 | 3.600 2 0.352 0.177 0.492 0.429 forward+backward 91 | 3.640 2 0.355 0.179 0.495 0.429 forward+backward 92 | 3.680 2 0.361 0.179 0.502 0.431 forward+backward 93 | 3.720 2 0.371 0.181 0.511 0.429 forward+backward 94 | 3.760 2 0.381 0.181 0.520 0.429 forward+backward 95 | 3.800 2 0.389 0.183 0.527 0.427 forward+backward 96 | 3.840 2 0.400 0.192 0.526 0.415 detection 97 | 3.880 2 0.397 0.188 0.536 0.433 forward+backward 98 | 3.920 2 0.404 0.185 0.543 0.433 forward+backward 99 | 3.960 2 0.411 0.181 0.553 0.431 forward+backward 100 | 4.000 2 0.422 0.185 0.561 0.433 forward+backward 101 | 4.040 2 0.428 0.183 0.569 0.433 forward+backward 102 | 4.080 2 0.436 0.188 0.576 0.435 forward+backward 103 | 4.120 2 0.439 0.190 0.576 0.433 forward+backward 104 | 4.160 2 0.439 0.190 0.576 0.431 forward+backward 105 | 4.200 2 0.436 0.183 0.574 0.429 forward+backward 106 | 4.240 2 0.431 0.181 0.568 0.425 forward+backward 107 | 4.280 2 0.428 0.177 0.564 0.421 forward+backward 108 | 4.320 2 0.414 0.171 0.564 0.440 detection 109 | 4.360 2 0.407 0.173 0.556 0.440 forward 110 | 4.400 2 0.402 0.171 0.553 0.440 forward 111 | 4.440 2 0.395 0.171 0.549 0.444 forward 112 | 4.480 2 0.389 0.171 0.544 0.448 forward 113 | 4.520 2 0.383 0.171 0.540 0.450 forward 114 | 4.560 2 0.379 0.173 0.535 0.452 forward 115 | 4.600 2 0.371 0.173 0.530 0.456 forward 116 | 4.640 2 0.367 0.175 0.526 0.456 forward 117 | 4.680 2 0.362 0.173 0.523 0.458 forward 118 | 4.720 3 0.805 0.042 0.930 0.267 backward 119 | 4.760 3 0.805 0.042 0.930 0.267 backward 120 | 4.800 3 0.805 0.042 0.930 0.267 detection 121 | 4.840 3 0.805 0.042 0.930 0.267 forward 122 | 4.880 3 0.805 0.042 0.930 0.267 forward 123 | 4.920 3 0.803 0.044 0.923 0.263 forward 124 | 4.960 3 0.808 0.046 0.929 0.265 forward 125 | 5.000 3 0.804 0.048 0.925 0.267 forward 126 | 5.040 3 0.803 0.044 0.925 0.267 forward 127 | 5.080 3 0.800 0.042 0.925 0.267 forward 128 | 5.120 3 0.799 0.042 0.924 0.267 forward 129 | 5.160 3 0.798 0.042 0.924 0.267 forward 130 | 5.200 3 0.798 0.042 0.923 0.267 forward 131 | 5.240 3 0.794 0.042 0.918 0.265 forward 132 | 5.280 3 0.797 0.042 0.921 0.267 forward 133 | 5.320 3 0.793 0.044 0.916 0.265 forward 134 | 5.360 3 0.794 0.044 0.919 0.269 forward 135 | 5.400 3 0.792 0.046 0.914 0.267 forward 136 | 5.440 3 0.794 0.046 0.917 0.267 forward 137 | 5.480 3 0.792 0.044 0.916 0.269 forward 138 | 5.520 3 0.791 0.044 0.916 0.269 forward 139 | 5.560 3 0.790 0.044 0.915 0.269 forward 140 | 5.600 3 0.790 0.044 0.914 0.269 forward 141 | 5.640 3 0.789 0.044 0.914 0.269 forward 142 | 5.680 3 0.784 0.042 0.910 0.269 forward 143 | 5.720 3 0.787 0.042 0.912 0.269 forward 144 | 5.760 3 0.787 0.042 0.912 0.269 forward 145 | 5.800 3 0.786 0.042 0.912 0.269 forward 146 | 5.840 3 0.785 0.042 0.911 0.269 forward 147 | 5.880 3 0.785 0.042 0.910 0.269 forward 148 | 5.920 3 0.784 0.042 0.910 0.269 forward 149 | 5.960 3 0.778 0.040 0.907 0.269 forward 150 | 6.000 3 0.780 0.040 0.908 0.269 forward 151 | 6.040 3 0.776 0.037 0.905 0.271 forward 152 | 6.080 3 0.782 0.040 0.909 0.271 forward 153 | 6.120 3 0.778 0.040 0.907 0.269 forward 154 | 6.160 3 0.778 0.040 0.905 0.269 forward 155 | 6.200 3 0.773 0.040 0.903 0.271 forward 156 | 6.240 3 0.780 0.044 0.904 0.269 forward 157 | 6.280 3 0.777 0.044 0.902 0.269 forward 158 | 6.320 3 0.777 0.044 0.902 0.269 forward 159 | 6.360 3 0.772 0.042 0.898 0.269 forward 160 | 6.400 3 0.778 0.046 0.902 0.269 forward 161 | 6.440 3 0.777 0.046 0.901 0.269 forward 162 | 6.480 3 0.776 0.044 0.901 0.269 forward 163 | 6.520 3 0.773 0.046 0.896 0.267 forward 164 | 6.560 3 0.779 0.046 0.902 0.267 forward 165 | 6.600 3 0.776 0.046 0.900 0.267 forward 166 | 6.640 3 0.776 0.044 0.900 0.267 forward 167 | 6.680 3 0.777 0.042 0.903 0.269 forward 168 | 5.040 4 0.383 0.185 0.470 0.344 backward 169 | 5.080 4 0.380 0.181 0.466 0.340 backward 170 | 5.120 4 0.377 0.179 0.465 0.338 backward 171 | 5.160 4 0.374 0.181 0.460 0.338 backward 172 | 5.200 4 0.374 0.181 0.458 0.333 backward 173 | 5.240 4 0.367 0.181 0.454 0.338 backward 174 | 5.280 4 0.364 0.183 0.451 0.340 detection 175 | 5.320 4 0.366 0.183 0.446 0.329 forward+backward 176 | 5.360 4 0.362 0.188 0.442 0.329 forward+backward 177 | 5.400 4 0.360 0.190 0.439 0.331 forward+backward 178 | 5.440 4 0.356 0.192 0.436 0.335 forward+backward 179 | 5.480 4 0.355 0.190 0.436 0.335 forward+backward 180 | 5.520 4 0.352 0.192 0.432 0.338 forward+backward 181 | 5.560 4 0.349 0.192 0.430 0.338 forward+backward 182 | 5.600 4 0.349 0.194 0.430 0.338 forward+backward 183 | 5.640 4 0.348 0.194 0.428 0.338 forward+backward 184 | 5.680 4 0.348 0.194 0.429 0.340 forward+backward 185 | 5.720 4 0.348 0.196 0.429 0.340 forward+backward 186 | 5.760 4 0.352 0.196 0.424 0.325 detection 187 | 5.800 4 0.349 0.194 0.423 0.325 forward+backward 188 | 5.840 4 0.349 0.194 0.423 0.325 forward+backward 189 | 5.880 4 0.349 0.194 0.422 0.325 forward+backward 190 | 5.920 4 0.350 0.194 0.423 0.325 forward+backward 191 | 5.960 4 0.350 0.194 0.423 0.323 forward+backward 192 | 6.000 4 0.352 0.196 0.423 0.325 forward+backward 193 | 6.040 4 0.352 0.196 0.423 0.325 forward+backward 194 | 6.080 4 0.352 0.198 0.423 0.325 forward+backward 195 | 6.120 4 0.353 0.200 0.424 0.325 forward+backward 196 | 6.160 4 0.353 0.198 0.424 0.325 forward+backward 197 | 6.200 4 0.354 0.198 0.424 0.325 forward+backward 198 | 6.240 4 0.352 0.196 0.424 0.325 detection 199 | 6.280 4 0.353 0.196 0.425 0.325 forward+backward 200 | 6.320 4 0.353 0.196 0.425 0.325 forward+backward 201 | 6.360 4 0.350 0.196 0.424 0.325 forward+backward 202 | 6.400 4 0.354 0.196 0.428 0.327 forward+backward 203 | 6.440 4 0.352 0.196 0.425 0.327 forward+backward 204 | 6.480 4 0.353 0.196 0.428 0.327 forward+backward 205 | 6.520 4 0.353 0.194 0.428 0.327 forward+backward 206 | 6.560 4 0.353 0.196 0.428 0.329 forward+backward 207 | 6.600 4 0.353 0.196 0.426 0.327 forward+backward 208 | 6.640 4 0.353 0.196 0.426 0.327 forward+backward 209 | 6.680 4 0.350 0.196 0.424 0.327 forward+backward 210 | 6.720 4 0.352 0.196 0.424 0.325 detection 211 | 6.760 4 0.350 0.194 0.423 0.323 forward+backward 212 | 6.800 4 0.349 0.196 0.421 0.323 forward+backward 213 | 6.840 4 0.346 0.196 0.418 0.325 forward+backward 214 | 6.880 4 0.343 0.196 0.415 0.325 forward+backward 215 | 6.920 4 0.342 0.196 0.414 0.323 forward+backward 216 | 6.960 4 0.338 0.194 0.410 0.325 forward+backward 217 | 7.000 4 0.335 0.196 0.408 0.325 forward+backward 218 | 7.040 4 0.333 0.198 0.405 0.325 forward+backward 219 | 7.080 4 0.332 0.196 0.404 0.327 forward+backward 220 | 7.120 4 0.328 0.198 0.401 0.325 forward+backward 221 | 7.160 4 0.329 0.196 0.403 0.327 forward+backward 222 | 7.200 4 0.327 0.196 0.400 0.325 detection 223 | 7.240 4 0.327 0.196 0.401 0.325 forward 224 | 7.280 4 0.328 0.196 0.402 0.327 forward 225 | 7.320 4 0.333 0.200 0.405 0.329 forward 226 | 7.360 4 0.333 0.198 0.414 0.340 forward+backward 227 | 7.400 4 0.336 0.204 0.416 0.346 forward+backward 228 | 7.440 4 0.343 0.212 0.424 0.356 forward+backward 229 | 7.480 4 0.350 0.219 0.432 0.362 forward+backward 230 | 7.520 4 0.359 0.225 0.440 0.369 forward+backward 231 | 7.560 4 0.367 0.225 0.447 0.369 forward+backward 232 | 7.600 4 0.374 0.223 0.456 0.367 forward+backward 233 | 7.640 4 0.381 0.225 0.463 0.369 forward+backward 234 | 7.680 4 0.383 0.219 0.471 0.373 detection 235 | 7.720 4 0.387 0.217 0.473 0.371 forward 236 | 7.760 4 0.389 0.215 0.477 0.371 forward 237 | 7.800 4 0.393 0.217 0.479 0.371 forward 238 | 7.840 4 0.390 0.215 0.479 0.371 forward 239 | 7.880 4 0.388 0.217 0.477 0.371 forward 240 | 7.920 4 0.389 0.219 0.478 0.375 forward 241 | 7.960 4 0.387 0.221 0.474 0.377 forward 242 | 6.000 5 0.446 0.417 0.528 0.560 backward 243 | 6.040 5 0.444 0.417 0.526 0.562 backward 244 | 6.080 5 0.445 0.415 0.529 0.562 backward 245 | 6.120 5 0.449 0.412 0.532 0.560 backward 246 | 6.160 5 0.447 0.410 0.532 0.558 backward 247 | 6.200 5 0.451 0.408 0.534 0.556 backward 248 | 6.240 5 0.449 0.406 0.533 0.556 backward 249 | 6.280 5 0.453 0.408 0.537 0.558 backward 250 | 6.320 5 0.450 0.408 0.535 0.560 backward 251 | 6.360 5 0.452 0.404 0.537 0.558 backward 252 | 6.400 5 0.459 0.406 0.544 0.558 backward 253 | 6.440 5 0.463 0.400 0.549 0.554 backward 254 | 6.480 5 0.470 0.400 0.556 0.552 backward 255 | 6.520 5 0.475 0.398 0.560 0.550 backward 256 | 6.560 5 0.481 0.400 0.568 0.552 backward 257 | 6.600 5 0.488 0.400 0.574 0.554 backward 258 | 6.640 5 0.494 0.402 0.581 0.556 backward 259 | 6.680 5 0.501 0.408 0.588 0.562 backward 260 | 6.720 5 0.509 0.408 0.597 0.565 detection 261 | 6.760 5 0.521 0.404 0.607 0.556 forward+backward 262 | 6.800 5 0.533 0.406 0.617 0.558 forward+backward 263 | 6.840 5 0.542 0.406 0.629 0.560 forward+backward 264 | 6.880 5 0.553 0.400 0.639 0.552 forward+backward 265 | 6.920 5 0.562 0.396 0.648 0.550 forward+backward 266 | 6.960 5 0.572 0.388 0.660 0.544 forward+backward 267 | 7.000 5 0.583 0.383 0.671 0.542 forward+backward 268 | 7.040 5 0.592 0.385 0.679 0.540 forward+backward 269 | 7.080 5 0.598 0.385 0.686 0.542 forward+backward 270 | 7.120 5 0.604 0.383 0.693 0.542 forward+backward 271 | 7.160 5 0.603 0.381 0.693 0.542 forward+backward 272 | 7.200 5 0.606 0.373 0.694 0.529 detection 273 | 7.240 5 0.606 0.371 0.694 0.527 forward 274 | 7.280 5 0.606 0.371 0.695 0.529 forward 275 | 7.320 5 0.603 0.371 0.693 0.529 forward 276 | 7.360 5 0.604 0.373 0.693 0.531 forward 277 | 7.400 5 0.599 0.373 0.687 0.529 forward 278 | 8.000 6 0.166 0.104 0.215 0.196 backward 279 | 8.040 6 0.166 0.104 0.215 0.196 backward 280 | 8.080 6 0.166 0.104 0.215 0.196 backward 281 | 8.120 6 0.166 0.104 0.215 0.196 backward 282 | 8.160 6 0.166 0.104 0.215 0.196 backward 283 | 8.200 6 0.166 0.104 0.215 0.196 backward 284 | 8.240 6 0.166 0.104 0.215 0.196 backward 285 | 8.280 6 0.166 0.104 0.215 0.196 backward 286 | 8.320 6 0.166 0.104 0.215 0.196 backward 287 | 8.360 6 0.166 0.104 0.215 0.196 backward 288 | 8.400 6 0.166 0.104 0.215 0.196 backward 289 | 8.440 6 0.166 0.104 0.215 0.196 backward 290 | 8.480 6 0.166 0.104 0.215 0.196 backward 291 | 8.520 6 0.166 0.104 0.215 0.196 backward 292 | 8.560 6 0.166 0.104 0.215 0.196 backward 293 | 8.600 6 0.166 0.104 0.215 0.196 backward 294 | 8.640 6 0.166 0.104 0.215 0.196 backward 295 | 8.680 6 0.166 0.104 0.215 0.196 backward 296 | 8.720 6 0.166 0.104 0.215 0.196 backward 297 | 8.760 6 0.166 0.104 0.215 0.196 backward 298 | 8.800 6 0.166 0.104 0.215 0.196 backward 299 | 8.840 6 0.166 0.104 0.215 0.196 backward 300 | 8.880 6 0.166 0.104 0.215 0.196 backward 301 | 8.920 6 0.166 0.104 0.215 0.196 backward 302 | 8.960 6 0.166 0.104 0.215 0.196 backward 303 | 9.000 6 0.166 0.104 0.215 0.196 backward 304 | 9.040 6 0.166 0.104 0.215 0.196 backward 305 | 9.080 6 0.166 0.104 0.215 0.196 backward 306 | 9.120 6 0.166 0.104 0.215 0.196 backward 307 | 9.160 6 0.166 0.104 0.215 0.196 backward 308 | 9.200 6 0.166 0.104 0.215 0.196 backward 309 | 9.240 6 0.166 0.104 0.215 0.196 backward 310 | 9.280 6 0.166 0.104 0.215 0.196 backward 311 | 9.320 6 0.166 0.104 0.215 0.196 backward 312 | 9.360 6 0.166 0.104 0.215 0.196 backward 313 | 9.400 6 0.166 0.104 0.215 0.196 backward 314 | 9.440 6 0.166 0.104 0.215 0.196 backward 315 | 9.480 6 0.166 0.104 0.215 0.196 backward 316 | 9.520 6 0.166 0.104 0.215 0.196 backward 317 | 9.560 6 0.166 0.104 0.215 0.196 backward 318 | 9.600 6 0.166 0.104 0.215 0.196 backward 319 | 9.640 6 0.166 0.104 0.215 0.196 backward 320 | 9.680 6 0.166 0.104 0.215 0.196 backward 321 | 9.720 6 0.166 0.104 0.215 0.196 backward 322 | 9.760 6 0.166 0.104 0.215 0.196 backward 323 | 9.800 6 0.166 0.104 0.215 0.196 backward 324 | 9.840 6 0.165 0.104 0.215 0.196 backward 325 | 9.880 6 0.166 0.104 0.215 0.196 backward 326 | 9.920 6 0.165 0.104 0.215 0.196 backward 327 | 9.960 6 0.165 0.104 0.215 0.196 backward 328 | 10.000 6 0.166 0.104 0.215 0.196 backward 329 | 10.040 6 0.165 0.104 0.215 0.196 backward 330 | 10.080 6 0.165 0.104 0.215 0.196 backward 331 | 10.120 6 0.165 0.104 0.215 0.196 backward 332 | 10.160 6 0.166 0.104 0.215 0.196 backward 333 | 10.200 6 0.166 0.104 0.215 0.196 backward 334 | 10.240 6 0.166 0.104 0.215 0.196 backward 335 | 10.280 6 0.166 0.104 0.215 0.196 backward 336 | 10.320 6 0.166 0.104 0.215 0.196 backward 337 | 10.360 6 0.166 0.104 0.215 0.196 backward 338 | 10.400 6 0.166 0.104 0.215 0.196 backward 339 | 10.440 6 0.166 0.106 0.215 0.196 backward 340 | 10.480 6 0.164 0.104 0.214 0.196 backward 341 | 10.520 6 0.166 0.104 0.216 0.196 backward 342 | 10.560 6 0.165 0.104 0.215 0.196 detection 343 | 10.600 6 0.164 0.104 0.214 0.196 forward 344 | 10.640 6 0.164 0.104 0.214 0.196 forward 345 | 10.680 6 0.160 0.104 0.210 0.196 forward 346 | 10.720 6 0.159 0.104 0.209 0.198 forward 347 | 10.760 6 0.157 0.104 0.207 0.198 forward 348 | 10.800 6 0.155 0.106 0.206 0.198 forward 349 | 10.840 6 0.152 0.108 0.202 0.198 forward 350 | 10.880 6 0.150 0.110 0.199 0.200 forward 351 | 10.920 6 0.147 0.108 0.196 0.198 forward 352 | 10.960 6 0.145 0.110 0.194 0.200 forward 353 | 11.000 6 0.141 0.110 0.190 0.200 forward 354 | 11.040 6 0.138 0.108 0.187 0.200 forward 355 | 11.080 6 0.134 0.110 0.185 0.200 forward 356 | 11.120 6 0.131 0.110 0.181 0.202 forward 357 | 11.160 6 0.129 0.113 0.178 0.202 forward 358 | 11.200 6 0.123 0.110 0.173 0.202 forward 359 | 11.240 6 0.119 0.113 0.169 0.202 forward 360 | 11.280 6 0.114 0.113 0.164 0.204 forward 361 | 11.320 6 0.111 0.113 0.160 0.202 forward 362 | 11.360 6 0.105 0.113 0.155 0.204 forward 363 | 11.400 6 0.100 0.115 0.151 0.204 forward 364 | 11.440 6 0.095 0.113 0.144 0.204 forward 365 | 11.480 6 0.089 0.115 0.138 0.204 forward 366 | 11.520 6 0.081 0.113 0.131 0.204 forward 367 | 11.560 6 0.074 0.115 0.124 0.204 forward 368 | 11.600 6 0.067 0.115 0.117 0.206 forward 369 | 11.640 6 0.060 0.115 0.109 0.204 forward 370 | 11.680 6 0.053 0.115 0.102 0.206 forward 371 | 11.720 6 0.044 0.117 0.093 0.206 forward 372 | 11.760 6 0.036 0.115 0.085 0.204 forward 373 | 11.800 6 0.027 0.117 0.076 0.206 forward 374 | 11.840 6 0.018 0.117 0.067 0.208 forward 375 | 11.880 6 0.008 0.119 0.058 0.208 forward 376 | 11.920 6 0.000 0.117 0.049 0.208 forward 377 | 11.960 6 -0.008 0.119 0.041 0.208 forward 378 | 12.000 6 -0.016 0.119 0.033 0.208 forward 379 | 12.040 6 -0.025 0.119 0.025 0.208 forward 380 | 12.080 6 -0.030 0.119 0.019 0.208 forward 381 | 8.600 7 0.346 0.215 0.388 0.290 backward 382 | 8.640 7 0.347 0.212 0.389 0.287 detection 383 | 8.680 7 0.348 0.210 0.390 0.285 forward 384 | 8.720 7 0.345 0.208 0.387 0.283 forward 385 | 8.760 7 0.350 0.202 0.391 0.275 backward 386 | 8.800 7 0.349 0.200 0.390 0.273 backward 387 | 8.840 7 0.350 0.198 0.391 0.273 backward 388 | 8.880 7 0.350 0.196 0.393 0.269 backward 389 | 8.920 7 0.352 0.194 0.394 0.269 backward 390 | 8.960 7 0.352 0.192 0.394 0.267 backward 391 | 9.000 7 0.354 0.192 0.395 0.265 backward 392 | 9.040 7 0.356 0.188 0.398 0.263 backward 393 | 9.080 7 0.357 0.185 0.401 0.263 backward 394 | 9.120 7 0.361 0.188 0.403 0.263 detection 395 | 9.160 7 0.366 0.188 0.408 0.263 forward+backward 396 | 9.200 7 0.371 0.190 0.412 0.263 forward+backward 397 | 9.240 7 0.376 0.190 0.418 0.265 forward+backward 398 | 9.280 7 0.381 0.192 0.423 0.267 forward+backward 399 | 9.320 7 0.388 0.190 0.429 0.265 forward+backward 400 | 9.360 7 0.393 0.190 0.435 0.263 forward+backward 401 | 9.400 7 0.397 0.188 0.439 0.263 forward+backward 402 | 9.440 7 0.402 0.185 0.444 0.263 forward+backward 403 | 9.480 7 0.407 0.188 0.449 0.263 forward+backward 404 | 9.520 7 0.410 0.190 0.451 0.263 forward+backward 405 | 9.560 7 0.412 0.188 0.454 0.260 forward+backward 406 | 9.600 7 0.417 0.188 0.459 0.263 detection 407 | 9.640 7 0.421 0.185 0.463 0.260 forward+backward 408 | 9.680 7 0.424 0.185 0.466 0.260 forward+backward 409 | 9.720 7 0.428 0.185 0.468 0.260 forward+backward 410 | 9.760 7 0.431 0.188 0.472 0.263 forward+backward 411 | 9.800 7 0.435 0.190 0.477 0.263 forward+backward 412 | 9.840 7 0.439 0.192 0.479 0.263 forward+backward 413 | 9.880 7 0.443 0.194 0.484 0.267 forward+backward 414 | 9.920 7 0.446 0.198 0.487 0.271 forward+backward 415 | 9.960 7 0.450 0.198 0.491 0.273 forward+backward 416 | 10.000 7 0.452 0.198 0.494 0.273 forward+backward 417 | 10.040 7 0.454 0.194 0.498 0.271 forward+backward 418 | 10.080 7 0.458 0.190 0.501 0.267 forward+backward 419 | 10.120 7 0.460 0.185 0.505 0.263 forward+backward 420 | 10.160 7 0.464 0.181 0.508 0.260 forward+backward 421 | 10.200 7 0.468 0.183 0.512 0.260 forward+backward 422 | 10.240 7 0.472 0.181 0.515 0.260 forward+backward 423 | 10.280 7 0.475 0.181 0.520 0.258 forward+backward 424 | 10.320 7 0.481 0.181 0.525 0.258 forward+backward 425 | 10.360 7 0.486 0.181 0.530 0.258 forward+backward 426 | 10.400 7 0.492 0.181 0.535 0.258 forward+backward 427 | 10.440 7 0.498 0.179 0.541 0.256 forward+backward 428 | 10.480 7 0.505 0.179 0.549 0.258 forward+backward 429 | 10.520 7 0.513 0.179 0.556 0.256 forward+backward 430 | 10.560 7 0.520 0.179 0.562 0.254 detection 431 | 10.600 7 0.526 0.179 0.570 0.256 forward 432 | 10.640 7 0.534 0.183 0.576 0.258 forward 433 | 10.680 7 0.540 0.185 0.583 0.260 forward 434 | 10.720 7 0.546 0.185 0.589 0.263 forward 435 | 10.760 7 0.551 0.183 0.595 0.260 forward 436 | 10.800 7 0.556 0.183 0.598 0.260 forward 437 | 10.840 7 0.558 0.181 0.604 0.263 forward+backward 438 | 10.880 7 0.563 0.181 0.609 0.265 forward+backward 439 | 10.920 7 0.568 0.181 0.613 0.265 forward+backward 440 | 10.960 7 0.572 0.181 0.618 0.265 forward+backward 441 | 11.000 7 0.575 0.179 0.620 0.263 forward+backward 442 | 11.040 7 0.578 0.179 0.624 0.263 forward+backward 443 | 11.080 7 0.582 0.181 0.627 0.265 forward+backward 444 | 11.120 7 0.585 0.183 0.631 0.267 forward+backward 445 | 11.160 7 0.585 0.185 0.631 0.269 forward+backward 446 | 11.200 7 0.589 0.188 0.634 0.271 forward+backward 447 | 11.240 7 0.589 0.190 0.634 0.273 forward+backward 448 | 11.280 7 0.591 0.192 0.637 0.275 forward+backward 449 | 11.320 7 0.590 0.194 0.636 0.277 forward+backward 450 | 11.360 7 0.591 0.196 0.637 0.277 forward+backward 451 | 11.400 7 0.589 0.198 0.636 0.279 forward+backward 452 | 11.440 7 0.589 0.196 0.636 0.279 forward+backward 453 | 11.480 7 0.588 0.194 0.633 0.277 forward+backward 454 | 11.520 7 0.586 0.194 0.632 0.277 forward+backward 455 | 11.560 7 0.585 0.194 0.631 0.277 forward+backward 456 | 11.600 7 0.583 0.194 0.630 0.277 forward+backward 457 | 11.640 7 0.582 0.196 0.627 0.279 forward+backward 458 | 11.680 7 0.579 0.194 0.625 0.279 forward+backward 459 | 11.720 7 0.577 0.194 0.624 0.279 forward+backward 460 | 11.760 7 0.575 0.196 0.621 0.279 forward+backward 461 | 11.800 7 0.571 0.196 0.617 0.279 forward+backward 462 | 11.840 7 0.567 0.196 0.613 0.281 forward+backward 463 | 11.880 7 0.562 0.198 0.609 0.283 forward+backward 464 | 11.920 7 0.558 0.198 0.604 0.283 forward+backward 465 | 11.960 7 0.554 0.200 0.600 0.283 forward+backward 466 | 12.000 7 0.550 0.198 0.597 0.283 forward+backward 467 | 12.040 7 0.544 0.200 0.591 0.285 forward+backward 468 | 12.080 7 0.540 0.202 0.588 0.285 forward+backward 469 | 12.120 7 0.535 0.202 0.583 0.287 forward+backward 470 | 12.160 7 0.530 0.204 0.577 0.290 forward+backward 471 | 12.200 7 0.526 0.204 0.572 0.290 forward+backward 472 | 12.240 7 0.522 0.204 0.569 0.290 forward+backward 473 | 12.280 7 0.519 0.206 0.565 0.292 forward+backward 474 | 12.320 7 0.516 0.206 0.563 0.292 forward+backward 475 | 12.360 7 0.513 0.208 0.561 0.294 forward+backward 476 | 12.400 7 0.511 0.208 0.557 0.294 forward+backward 477 | 12.440 7 0.507 0.208 0.555 0.294 forward+backward 478 | 12.480 7 0.505 0.206 0.553 0.294 forward+backward 479 | 12.520 7 0.502 0.208 0.550 0.294 forward+backward 480 | 12.560 7 0.499 0.206 0.547 0.294 forward+backward 481 | 12.600 7 0.496 0.206 0.544 0.294 forward+backward 482 | 12.640 7 0.494 0.208 0.542 0.296 forward+backward 483 | 12.680 7 0.491 0.210 0.539 0.296 forward+backward 484 | 12.720 7 0.487 0.210 0.536 0.298 forward+backward 485 | 12.760 7 0.484 0.210 0.532 0.296 forward+backward 486 | 12.800 7 0.481 0.210 0.529 0.298 forward+backward 487 | 12.840 7 0.479 0.210 0.528 0.298 forward+backward 488 | 12.880 7 0.478 0.210 0.526 0.296 forward+backward 489 | 12.920 7 0.477 0.208 0.525 0.294 forward+backward 490 | 12.960 7 0.473 0.204 0.523 0.296 detection 491 | 13.000 7 0.472 0.208 0.521 0.298 forward+backward 492 | 13.040 7 0.472 0.206 0.522 0.296 forward+backward 493 | 13.080 7 0.470 0.206 0.520 0.296 forward+backward 494 | 13.120 7 0.470 0.208 0.520 0.298 forward+backward 495 | 13.160 7 0.467 0.206 0.518 0.298 forward+backward 496 | 13.200 7 0.467 0.208 0.516 0.298 forward+backward 497 | 13.240 7 0.465 0.206 0.516 0.298 forward+backward 498 | 13.280 7 0.464 0.204 0.515 0.296 forward+backward 499 | 13.320 7 0.463 0.202 0.514 0.296 forward+backward 500 | 13.360 7 0.463 0.202 0.514 0.296 forward+backward 501 | 13.400 7 0.460 0.200 0.513 0.294 forward+backward 502 | 13.440 7 0.461 0.204 0.513 0.296 detection 503 | 13.480 7 0.460 0.204 0.512 0.296 forward 504 | 13.520 7 0.459 0.204 0.509 0.294 forward 505 | 13.560 7 0.461 0.204 0.512 0.294 forward 506 | 13.600 7 0.460 0.206 0.509 0.294 forward 507 | 13.640 7 0.457 0.206 0.507 0.296 forward 508 | 13.680 7 0.456 0.208 0.506 0.298 forward 509 | 13.720 7 0.454 0.210 0.504 0.298 forward 510 | 9.840 8 0.369 0.113 0.414 0.192 backward 511 | 9.880 8 0.368 0.115 0.412 0.192 backward 512 | 9.920 8 0.368 0.115 0.411 0.192 backward 513 | 9.960 8 0.368 0.115 0.411 0.192 backward 514 | 10.000 8 0.369 0.115 0.412 0.192 backward 515 | 10.040 8 0.367 0.113 0.410 0.192 backward 516 | 10.080 8 0.370 0.115 0.412 0.192 backward 517 | 10.120 8 0.369 0.115 0.411 0.192 backward 518 | 10.160 8 0.369 0.115 0.411 0.192 backward 519 | 10.200 8 0.369 0.115 0.412 0.192 backward 520 | 10.240 8 0.368 0.115 0.411 0.192 backward 521 | 10.280 8 0.369 0.115 0.412 0.192 backward 522 | 10.320 8 0.368 0.115 0.411 0.192 backward 523 | 10.360 8 0.368 0.115 0.411 0.192 backward 524 | 10.400 8 0.369 0.115 0.412 0.192 backward 525 | 10.440 8 0.368 0.115 0.411 0.192 backward 526 | 10.480 8 0.368 0.115 0.411 0.192 backward 527 | 10.520 8 0.369 0.115 0.412 0.192 backward 528 | 10.560 8 0.368 0.115 0.411 0.192 backward 529 | 10.600 8 0.368 0.117 0.411 0.192 backward 530 | 10.640 8 0.367 0.115 0.410 0.192 backward 531 | 10.680 8 0.366 0.117 0.408 0.192 backward 532 | 10.720 8 0.363 0.117 0.407 0.194 backward 533 | 10.760 8 0.361 0.117 0.404 0.192 backward 534 | 10.800 8 0.359 0.117 0.402 0.194 backward 535 | 10.840 8 0.356 0.119 0.398 0.194 backward 536 | 10.880 8 0.353 0.119 0.396 0.196 backward 537 | 10.920 8 0.349 0.117 0.393 0.194 backward 538 | 10.960 8 0.347 0.119 0.390 0.196 backward 539 | 11.000 8 0.345 0.119 0.387 0.196 backward 540 | 11.040 8 0.342 0.121 0.384 0.196 detection 541 | 11.080 8 0.339 0.121 0.381 0.196 forward 542 | 11.120 8 0.336 0.123 0.377 0.198 forward 543 | 11.160 8 0.333 0.121 0.375 0.196 forward 544 | 11.200 8 0.328 0.123 0.370 0.198 forward 545 | 11.240 8 0.325 0.123 0.366 0.198 forward 546 | 11.280 8 0.320 0.123 0.362 0.198 forward 547 | 11.320 8 0.317 0.123 0.357 0.198 forward 548 | 11.360 8 0.311 0.125 0.353 0.200 forward 549 | 11.400 8 0.306 0.125 0.348 0.200 forward 550 | 11.440 8 0.300 0.125 0.342 0.200 forward 551 | 11.480 8 0.294 0.125 0.336 0.200 forward 552 | 11.520 8 0.289 0.125 0.331 0.200 forward 553 | 11.560 8 0.283 0.125 0.325 0.200 forward 554 | 11.600 8 0.276 0.127 0.317 0.200 forward 555 | 11.640 8 0.268 0.129 0.310 0.204 forward 556 | 11.680 8 0.262 0.125 0.304 0.200 forward 557 | 11.720 8 0.255 0.127 0.297 0.202 forward 558 | 11.760 8 0.246 0.127 0.289 0.202 forward 559 | 11.800 8 0.238 0.129 0.280 0.202 forward 560 | 11.840 8 0.230 0.129 0.271 0.204 forward 561 | 11.880 8 0.222 0.131 0.263 0.204 forward 562 | 11.920 8 0.215 0.131 0.256 0.204 forward 563 | 11.960 8 0.207 0.131 0.248 0.204 forward 564 | 12.000 8 0.199 0.131 0.241 0.206 forward 565 | 12.040 8 0.193 0.131 0.234 0.204 forward 566 | 12.080 8 0.185 0.131 0.225 0.206 forward 567 | 12.120 8 0.176 0.133 0.218 0.206 forward 568 | 12.160 8 0.168 0.135 0.209 0.208 forward 569 | 12.200 8 0.162 0.133 0.203 0.206 forward 570 | 12.240 8 0.154 0.133 0.195 0.206 forward 571 | 11.520 9 0.974 0.408 1.026 0.502 backward 572 | 11.560 9 0.967 0.410 1.019 0.502 backward 573 | 11.600 9 0.958 0.408 1.009 0.500 backward 574 | 11.640 9 0.951 0.410 1.002 0.502 backward 575 | 11.680 9 0.943 0.408 0.995 0.502 backward 576 | 11.720 9 0.936 0.408 0.987 0.500 backward 577 | 11.760 9 0.928 0.408 0.979 0.500 backward 578 | 11.800 9 0.918 0.408 0.970 0.500 backward 579 | 11.840 9 0.909 0.408 0.960 0.500 backward 580 | 11.880 9 0.901 0.408 0.952 0.500 backward 581 | 11.920 9 0.893 0.408 0.943 0.500 backward 582 | 11.960 9 0.883 0.408 0.935 0.500 backward 583 | 12.000 9 0.876 0.406 0.928 0.500 backward 584 | 12.040 9 0.867 0.408 0.918 0.500 backward 585 | 12.080 9 0.860 0.406 0.911 0.498 backward 586 | 12.120 9 0.852 0.408 0.903 0.500 backward 587 | 12.160 9 0.842 0.406 0.894 0.498 backward 588 | 12.200 9 0.835 0.408 0.887 0.500 backward 589 | 12.240 9 0.828 0.406 0.880 0.498 backward 590 | 12.280 9 0.820 0.408 0.873 0.500 backward 591 | 12.320 9 0.813 0.406 0.864 0.500 backward 592 | 12.360 9 0.806 0.408 0.859 0.500 backward 593 | 12.400 9 0.800 0.406 0.852 0.500 backward 594 | 12.440 9 0.794 0.408 0.846 0.500 backward 595 | 12.480 9 0.789 0.410 0.839 0.500 backward 596 | 12.520 9 0.783 0.408 0.834 0.500 backward 597 | 12.560 9 0.777 0.410 0.827 0.500 backward 598 | 12.600 9 0.772 0.410 0.822 0.498 backward 599 | 12.640 9 0.768 0.410 0.817 0.500 backward 600 | 12.680 9 0.763 0.412 0.812 0.500 backward 601 | 12.720 9 0.757 0.410 0.807 0.500 backward 602 | 12.760 9 0.755 0.412 0.803 0.500 backward 603 | 12.800 9 0.752 0.415 0.800 0.500 backward 604 | 12.840 9 0.749 0.412 0.797 0.498 backward 605 | 12.880 9 0.745 0.412 0.792 0.496 backward 606 | 12.920 9 0.742 0.415 0.790 0.500 backward 607 | 12.960 9 0.739 0.412 0.787 0.500 backward 608 | 13.000 9 0.738 0.415 0.785 0.500 backward 609 | 13.040 9 0.735 0.412 0.783 0.500 backward 610 | 13.080 9 0.734 0.415 0.782 0.500 backward 611 | 13.120 9 0.730 0.412 0.779 0.500 backward 612 | 13.160 9 0.729 0.417 0.777 0.502 backward 613 | 13.200 9 0.727 0.415 0.775 0.500 backward 614 | 13.240 9 0.725 0.415 0.773 0.500 backward 615 | 13.280 9 0.723 0.417 0.771 0.502 backward 616 | 13.320 9 0.722 0.417 0.770 0.502 backward 617 | 13.360 9 0.720 0.415 0.769 0.502 backward 618 | 13.400 9 0.716 0.412 0.768 0.504 backward 619 | 13.440 9 0.715 0.415 0.765 0.504 detection 620 | 13.480 9 0.714 0.417 0.763 0.504 forward 621 | 13.520 9 0.713 0.415 0.763 0.504 forward 622 | 13.560 9 0.710 0.415 0.761 0.504 forward 623 | 13.600 9 0.709 0.417 0.759 0.504 forward 624 | 13.640 9 0.709 0.415 0.759 0.504 forward 625 | 13.680 9 0.707 0.412 0.758 0.504 forward 626 | 13.720 9 0.706 0.415 0.757 0.506 forward 627 | 11.560 10 0.197 0.165 0.238 0.240 backward 628 | 11.600 10 0.196 0.165 0.238 0.237 backward 629 | 11.640 10 0.194 0.163 0.235 0.235 backward 630 | 11.680 10 0.194 0.160 0.234 0.231 backward 631 | 11.720 10 0.194 0.158 0.234 0.229 backward 632 | 11.760 10 0.193 0.154 0.234 0.227 backward 633 | 11.800 10 0.190 0.152 0.231 0.225 backward 634 | 11.840 10 0.188 0.150 0.228 0.223 backward 635 | 11.880 10 0.185 0.150 0.225 0.223 backward 636 | 11.920 10 0.181 0.148 0.222 0.221 backward 637 | 11.960 10 0.178 0.148 0.220 0.221 backward 638 | 12.000 10 0.174 0.146 0.216 0.221 detection 639 | 12.040 10 0.171 0.146 0.213 0.219 forward+backward 640 | 12.080 10 0.167 0.146 0.209 0.221 forward+backward 641 | 12.120 10 0.164 0.148 0.206 0.223 forward+backward 642 | 12.160 10 0.159 0.148 0.201 0.223 backward 643 | 12.200 10 0.155 0.148 0.199 0.223 backward 644 | 12.240 10 0.152 0.148 0.195 0.223 backward 645 | 12.280 10 0.148 0.148 0.190 0.223 backward 646 | 12.320 10 0.145 0.146 0.187 0.221 backward 647 | 12.360 10 0.141 0.146 0.183 0.221 backward 648 | 12.400 10 0.139 0.142 0.182 0.219 backward 649 | 12.440 10 0.137 0.140 0.179 0.215 backward 650 | 12.480 10 0.137 0.138 0.179 0.212 detection 651 | 12.520 10 0.138 0.135 0.178 0.208 forward+backward 652 | 12.560 10 0.139 0.135 0.180 0.208 forward+backward 653 | 12.600 10 0.141 0.135 0.182 0.208 forward+backward 654 | 12.640 10 0.145 0.135 0.186 0.208 forward+backward 655 | 12.680 10 0.147 0.138 0.188 0.210 forward+backward 656 | 12.720 10 0.151 0.140 0.192 0.215 forward+backward 657 | 12.760 10 0.154 0.142 0.196 0.215 forward+backward 658 | 12.800 10 0.158 0.144 0.200 0.217 forward+backward 659 | 12.840 10 0.164 0.144 0.206 0.219 forward+backward 660 | 12.880 10 0.168 0.142 0.210 0.219 forward+backward 661 | 12.920 10 0.174 0.140 0.216 0.215 forward+backward 662 | 12.960 10 0.179 0.138 0.221 0.212 detection 663 | 13.000 10 0.181 0.135 0.224 0.210 forward+backward 664 | 13.040 10 0.187 0.133 0.229 0.208 forward+backward 665 | 13.080 10 0.190 0.129 0.234 0.206 forward+backward 666 | 13.120 10 0.195 0.129 0.238 0.204 forward+backward 667 | 13.160 10 0.200 0.127 0.242 0.204 forward+backward 668 | 13.200 10 0.203 0.129 0.245 0.204 forward+backward 669 | 13.240 10 0.207 0.131 0.249 0.206 forward+backward 670 | 13.280 10 0.210 0.133 0.252 0.208 forward+backward 671 | 13.320 10 0.213 0.135 0.255 0.208 forward+backward 672 | 13.360 10 0.215 0.138 0.257 0.212 forward+backward 673 | 13.400 10 0.217 0.138 0.259 0.212 forward+backward 674 | 13.440 10 0.216 0.138 0.258 0.212 detection 675 | 13.480 10 0.217 0.133 0.261 0.210 forward 676 | 13.520 10 0.220 0.131 0.263 0.208 forward 677 | 13.560 10 0.222 0.129 0.265 0.206 forward 678 | 13.600 10 0.224 0.127 0.268 0.204 forward 679 | 13.640 10 0.227 0.127 0.270 0.204 forward 680 | 13.680 10 0.229 0.125 0.272 0.204 forward 681 | 13.720 10 0.230 0.125 0.276 0.204 forward 682 | 13.760 11 0.417 0.294 0.512 0.463 backward 683 | 13.800 11 0.419 0.292 0.518 0.467 backward 684 | 13.840 11 0.414 0.287 0.513 0.467 backward 685 | 13.880 11 0.414 0.283 0.519 0.471 backward 686 | 13.920 11 0.414 0.283 0.519 0.471 detection 687 | 13.960 11 0.416 0.281 0.522 0.471 forward+backward 688 | 14.000 11 0.414 0.281 0.520 0.471 forward+backward 689 | 14.040 11 0.415 0.283 0.520 0.469 forward+backward 690 | 14.080 11 0.416 0.285 0.519 0.469 forward+backward 691 | 14.120 11 0.412 0.285 0.515 0.469 forward+backward 692 | 14.160 11 0.415 0.285 0.519 0.469 forward+backward 693 | 14.200 11 0.412 0.285 0.515 0.467 forward+backward 694 | 14.240 11 0.414 0.285 0.515 0.467 forward+backward 695 | 14.280 11 0.414 0.283 0.518 0.469 forward+backward 696 | 14.320 11 0.410 0.283 0.514 0.469 forward+backward 697 | 14.360 11 0.415 0.283 0.519 0.469 forward+backward 698 | 14.400 11 0.414 0.283 0.519 0.471 detection 699 | 14.440 11 0.415 0.283 0.521 0.471 forward+backward 700 | 14.480 11 0.414 0.283 0.519 0.471 forward+backward 701 | 14.520 11 0.415 0.285 0.520 0.471 forward+backward 702 | 14.560 11 0.416 0.285 0.521 0.473 forward+backward 703 | 14.600 11 0.415 0.285 0.519 0.471 forward+backward 704 | 14.640 11 0.415 0.285 0.519 0.471 forward+backward 705 | 14.680 11 0.415 0.285 0.519 0.471 forward+backward 706 | 14.720 11 0.415 0.287 0.516 0.471 forward+backward 707 | 14.760 11 0.417 0.287 0.519 0.469 forward+backward 708 | 14.800 11 0.415 0.287 0.519 0.471 forward+backward 709 | 14.840 11 0.414 0.287 0.516 0.471 forward+backward 710 | 14.880 11 0.414 0.283 0.519 0.471 detection 711 | 14.920 11 0.412 0.285 0.516 0.471 forward+backward 712 | 14.960 11 0.414 0.283 0.519 0.471 forward+backward 713 | 15.000 11 0.414 0.283 0.519 0.471 forward+backward 714 | 15.040 11 0.412 0.281 0.519 0.471 forward+backward 715 | 15.080 11 0.415 0.283 0.519 0.469 forward+backward 716 | 15.120 11 0.412 0.283 0.518 0.471 forward+backward 717 | 15.160 11 0.414 0.281 0.521 0.473 forward+backward 718 | 15.200 11 0.414 0.283 0.519 0.471 forward+backward 719 | 15.240 11 0.416 0.285 0.520 0.471 forward+backward 720 | 15.280 11 0.410 0.281 0.518 0.473 forward+backward 721 | 15.320 11 0.415 0.283 0.520 0.471 forward+backward 722 | 15.360 11 0.414 0.283 0.519 0.471 detection 723 | 15.400 11 0.416 0.283 0.521 0.471 forward 724 | 15.440 11 0.411 0.283 0.516 0.471 forward 725 | 15.480 11 0.417 0.290 0.518 0.469 forward 726 | 15.520 11 0.414 0.283 0.519 0.471 forward 727 | 15.560 11 0.414 0.283 0.519 0.471 forward 728 | 15.600 11 0.414 0.283 0.519 0.471 forward 729 | 15.640 11 0.411 0.285 0.514 0.469 forward 730 | 15.680 11 0.417 0.287 0.519 0.467 forward 731 | 15.720 11 0.414 0.285 0.515 0.465 forward 732 | 15.760 11 0.412 0.283 0.518 0.471 forward 733 | 15.800 12 0.433 0.206 0.485 0.298 backward 734 | 15.840 12 0.433 0.204 0.485 0.296 detection 735 | 15.880 12 0.435 0.202 0.487 0.296 forward 736 | 15.920 12 0.433 0.202 0.486 0.296 forward 737 | 15.960 12 0.433 0.202 0.486 0.296 forward 738 | 16.000 12 0.433 0.202 0.487 0.296 forward 739 | 16.040 12 0.435 0.202 0.487 0.298 forward 740 | 16.080 12 0.437 0.202 0.491 0.298 forward 741 | 16.120 12 0.437 0.202 0.491 0.300 forward 742 | 15.800 13 0.286 0.148 0.336 0.237 backward 743 | 15.840 13 0.289 0.146 0.339 0.235 detection 744 | 15.880 13 0.291 0.144 0.342 0.235 forward 745 | 15.920 13 0.292 0.144 0.343 0.235 forward 746 | 15.960 13 0.294 0.144 0.345 0.233 forward 747 | 16.040 13 0.301 0.142 0.343 0.217 backward 748 | 16.080 13 0.304 0.142 0.346 0.217 backward 749 | 16.120 13 0.305 0.140 0.347 0.215 backward 750 | 16.160 13 0.306 0.140 0.348 0.215 backward 751 | 16.200 13 0.307 0.140 0.349 0.215 backward 752 | 16.240 13 0.308 0.140 0.350 0.215 backward 753 | 16.280 13 0.308 0.138 0.350 0.212 backward 754 | 16.320 13 0.310 0.138 0.352 0.212 detection 755 | 16.360 13 0.310 0.133 0.352 0.208 forward+backward 756 | 16.400 13 0.311 0.131 0.353 0.208 forward+backward 757 | 16.440 13 0.312 0.131 0.354 0.206 forward+backward 758 | 16.480 13 0.312 0.131 0.354 0.206 forward+backward 759 | 16.520 13 0.313 0.129 0.355 0.204 forward+backward 760 | 16.560 13 0.313 0.129 0.355 0.204 forward+backward 761 | 16.600 13 0.313 0.129 0.355 0.202 forward+backward 762 | 16.640 13 0.314 0.129 0.355 0.202 forward+backward 763 | 16.680 13 0.314 0.129 0.356 0.202 forward+backward 764 | 16.720 13 0.314 0.131 0.356 0.204 forward+backward 765 | 16.760 13 0.315 0.131 0.356 0.204 forward+backward 766 | 16.800 13 0.314 0.129 0.356 0.204 detection 767 | 16.840 13 0.315 0.131 0.357 0.206 forward+backward 768 | 16.880 13 0.315 0.133 0.357 0.208 forward+backward 769 | 16.920 13 0.317 0.133 0.359 0.210 forward+backward 770 | 16.960 13 0.315 0.135 0.359 0.210 forward+backward 771 | 17.000 13 0.317 0.135 0.360 0.212 forward+backward 772 | 17.040 13 0.317 0.138 0.360 0.212 forward+backward 773 | 17.080 13 0.319 0.138 0.360 0.212 forward+backward 774 | 17.120 13 0.319 0.140 0.360 0.212 forward+backward 775 | 17.160 13 0.319 0.142 0.360 0.215 forward+backward 776 | 17.200 13 0.319 0.142 0.360 0.217 forward+backward 777 | 17.240 13 0.319 0.144 0.360 0.219 forward+backward 778 | 17.280 13 0.319 0.146 0.361 0.221 detection 779 | 17.320 13 0.320 0.148 0.362 0.221 forward+backward 780 | 17.360 13 0.319 0.148 0.361 0.221 forward+backward 781 | 17.400 13 0.319 0.146 0.361 0.221 forward+backward 782 | 17.440 13 0.319 0.146 0.361 0.221 forward+backward 783 | 17.480 13 0.319 0.146 0.361 0.221 forward+backward 784 | 17.520 13 0.319 0.146 0.360 0.219 forward+backward 785 | 17.560 13 0.320 0.146 0.361 0.219 forward+backward 786 | 17.600 13 0.319 0.146 0.361 0.219 forward+backward 787 | 17.640 13 0.319 0.144 0.361 0.219 forward+backward 788 | 17.680 13 0.320 0.144 0.362 0.221 forward+backward 789 | 17.720 13 0.318 0.144 0.360 0.221 forward+backward 790 | 17.760 13 0.319 0.146 0.361 0.221 detection 791 | 17.800 13 0.318 0.144 0.360 0.219 forward+backward 792 | 17.840 13 0.319 0.144 0.360 0.219 forward+backward 793 | 17.880 13 0.318 0.146 0.359 0.217 forward+backward 794 | 17.920 13 0.318 0.144 0.359 0.219 forward+backward 795 | 17.960 13 0.318 0.144 0.359 0.219 forward+backward 796 | 18.000 13 0.317 0.144 0.359 0.219 forward+backward 797 | 18.040 13 0.317 0.142 0.359 0.219 forward+backward 798 | 18.080 13 0.317 0.142 0.359 0.217 forward+backward 799 | 18.120 13 0.315 0.142 0.359 0.217 forward+backward 800 | 18.160 13 0.315 0.140 0.359 0.217 forward+backward 801 | 18.200 13 0.315 0.140 0.359 0.217 forward+backward 802 | 18.240 13 0.314 0.138 0.356 0.212 detection 803 | 18.280 13 0.312 0.138 0.355 0.215 forward+backward 804 | 18.320 13 0.312 0.140 0.355 0.217 forward+backward 805 | 18.360 13 0.312 0.140 0.354 0.215 forward+backward 806 | 18.400 13 0.311 0.140 0.353 0.215 forward+backward 807 | 18.440 13 0.311 0.140 0.353 0.215 forward+backward 808 | 18.480 13 0.310 0.140 0.352 0.212 forward+backward 809 | 18.520 13 0.311 0.138 0.353 0.212 forward+backward 810 | 18.560 13 0.308 0.138 0.352 0.212 forward+backward 811 | 18.600 13 0.310 0.135 0.353 0.212 forward+backward 812 | 18.640 13 0.310 0.135 0.352 0.210 forward+backward 813 | 18.680 13 0.310 0.135 0.353 0.210 forward+backward 814 | 18.720 13 0.310 0.138 0.352 0.212 detection 815 | 18.760 13 0.311 0.138 0.353 0.212 forward+backward 816 | 18.800 13 0.312 0.138 0.354 0.212 forward+backward 817 | 18.840 13 0.312 0.138 0.354 0.212 forward+backward 818 | 18.880 13 0.312 0.138 0.354 0.212 forward+backward 819 | 18.920 13 0.312 0.138 0.355 0.212 forward+backward 820 | 18.960 13 0.313 0.138 0.355 0.212 forward+backward 821 | 19.000 13 0.313 0.138 0.354 0.212 forward+backward 822 | 19.040 13 0.314 0.138 0.356 0.212 forward+backward 823 | 19.080 13 0.313 0.138 0.355 0.212 forward+backward 824 | 19.120 13 0.314 0.140 0.355 0.212 forward+backward 825 | 19.160 13 0.314 0.138 0.355 0.212 forward+backward 826 | 19.200 13 0.314 0.138 0.356 0.212 detection 827 | 19.240 13 0.313 0.138 0.354 0.212 forward+backward 828 | 19.280 13 0.313 0.138 0.355 0.212 forward+backward 829 | 19.320 13 0.313 0.138 0.355 0.212 forward+backward 830 | 19.360 13 0.312 0.138 0.354 0.212 forward+backward 831 | 19.400 13 0.312 0.138 0.354 0.212 forward+backward 832 | 19.440 13 0.311 0.138 0.354 0.212 forward+backward 833 | 19.480 13 0.312 0.138 0.355 0.215 forward+backward 834 | 19.520 13 0.311 0.138 0.353 0.212 forward+backward 835 | 19.560 13 0.312 0.138 0.355 0.212 forward+backward 836 | 19.600 13 0.312 0.138 0.353 0.210 forward+backward 837 | 19.640 13 0.312 0.138 0.353 0.212 forward+backward 838 | 19.680 13 0.310 0.138 0.352 0.212 detection 839 | 15.800 14 0.011 0.156 0.053 0.229 backward 840 | 15.840 14 0.011 0.154 0.053 0.229 backward 841 | 15.880 14 0.011 0.154 0.053 0.229 backward 842 | 15.920 14 0.011 0.154 0.053 0.229 backward 843 | 15.960 14 0.012 0.156 0.053 0.229 backward 844 | 16.000 14 0.011 0.154 0.051 0.229 backward 845 | 16.040 14 0.012 0.156 0.054 0.229 backward 846 | 16.080 14 0.009 0.154 0.051 0.229 backward 847 | 16.120 14 0.012 0.156 0.054 0.229 backward 848 | 16.160 14 0.009 0.154 0.051 0.229 backward 849 | 16.200 14 0.012 0.154 0.054 0.229 backward 850 | 16.240 14 0.009 0.154 0.051 0.229 backward 851 | 16.280 14 0.011 0.154 0.053 0.229 backward 852 | 16.320 14 0.009 0.154 0.051 0.229 backward 853 | 16.360 14 0.012 0.156 0.054 0.229 backward 854 | 16.400 14 0.009 0.154 0.051 0.229 backward 855 | 16.440 14 0.012 0.154 0.054 0.229 backward 856 | 16.480 14 0.011 0.154 0.053 0.229 backward 857 | 16.520 14 0.011 0.154 0.053 0.229 backward 858 | 16.560 14 0.011 0.154 0.053 0.229 backward 859 | 16.600 14 0.011 0.154 0.053 0.229 backward 860 | 16.640 14 0.009 0.154 0.051 0.229 backward 861 | 16.680 14 0.011 0.154 0.053 0.229 backward 862 | 16.720 14 0.011 0.154 0.053 0.229 backward 863 | 16.760 14 0.011 0.154 0.053 0.229 backward 864 | 16.800 14 0.011 0.154 0.053 0.229 detection 865 | 16.840 14 0.011 0.154 0.053 0.229 forward+backward 866 | 16.880 14 0.011 0.154 0.053 0.229 forward+backward 867 | 16.920 14 0.011 0.154 0.053 0.229 forward+backward 868 | 16.960 14 0.011 0.154 0.053 0.229 forward+backward 869 | 17.000 14 0.011 0.154 0.053 0.229 forward+backward 870 | 17.040 14 0.011 0.154 0.053 0.229 forward+backward 871 | 17.080 14 0.011 0.154 0.053 0.229 forward+backward 872 | 17.120 14 0.011 0.154 0.053 0.229 forward+backward 873 | 17.160 14 0.011 0.154 0.053 0.229 forward+backward 874 | 17.200 14 0.011 0.154 0.053 0.229 forward+backward 875 | 17.240 14 0.011 0.154 0.053 0.229 forward+backward 876 | 17.280 14 0.011 0.154 0.053 0.229 detection 877 | 17.320 14 0.011 0.154 0.053 0.229 forward+backward 878 | 17.360 14 0.011 0.154 0.053 0.229 forward+backward 879 | 17.400 14 0.011 0.154 0.053 0.229 forward+backward 880 | 17.440 14 0.011 0.154 0.053 0.229 forward+backward 881 | 17.480 14 0.011 0.154 0.053 0.229 forward+backward 882 | 17.520 14 0.011 0.154 0.053 0.229 forward+backward 883 | 17.560 14 0.011 0.154 0.053 0.229 forward+backward 884 | 17.600 14 0.011 0.154 0.053 0.229 forward+backward 885 | 17.640 14 0.009 0.154 0.053 0.229 forward+backward 886 | 17.680 14 0.011 0.154 0.054 0.229 forward+backward 887 | 17.720 14 0.011 0.154 0.053 0.229 forward+backward 888 | 17.760 14 0.009 0.152 0.053 0.229 forward+backward 889 | 17.800 14 0.011 0.154 0.054 0.229 forward+backward 890 | 17.840 14 0.009 0.154 0.053 0.229 forward+backward 891 | 17.880 14 0.011 0.154 0.054 0.229 forward+backward 892 | 17.920 14 0.009 0.152 0.053 0.229 forward+backward 893 | 17.960 14 0.011 0.154 0.053 0.229 forward+backward 894 | 18.000 14 0.009 0.154 0.053 0.229 forward+backward 895 | 18.040 14 0.011 0.154 0.053 0.229 forward+backward 896 | 18.080 14 0.009 0.152 0.051 0.229 forward+backward 897 | 18.120 14 0.011 0.154 0.053 0.229 forward+backward 898 | 18.160 14 0.009 0.154 0.051 0.229 forward+backward 899 | 18.200 14 0.011 0.154 0.053 0.229 forward+backward 900 | 18.240 14 0.011 0.154 0.053 0.229 forward+backward 901 | 18.280 14 0.011 0.154 0.053 0.229 forward+backward 902 | 18.320 14 0.011 0.154 0.053 0.229 forward+backward 903 | 18.360 14 0.011 0.154 0.053 0.229 forward+backward 904 | 18.400 14 0.009 0.154 0.051 0.229 forward+backward 905 | 18.440 14 0.011 0.154 0.053 0.229 forward+backward 906 | 18.480 14 0.009 0.154 0.051 0.229 forward+backward 907 | 18.520 14 0.011 0.154 0.053 0.229 forward+backward 908 | 18.560 14 0.009 0.154 0.053 0.229 forward+backward 909 | 18.600 14 0.011 0.154 0.053 0.229 forward+backward 910 | 18.640 14 0.011 0.154 0.053 0.229 forward+backward 911 | 18.680 14 0.011 0.154 0.053 0.229 forward+backward 912 | 18.720 14 0.011 0.154 0.053 0.229 forward+backward 913 | 18.760 14 0.011 0.154 0.053 0.229 forward+backward 914 | 18.800 14 0.011 0.154 0.053 0.229 forward+backward 915 | 18.840 14 0.011 0.154 0.053 0.229 forward+backward 916 | 18.880 14 0.011 0.154 0.053 0.229 forward+backward 917 | 18.920 14 0.011 0.152 0.053 0.229 forward+backward 918 | 18.960 14 0.009 0.152 0.053 0.229 forward+backward 919 | 19.000 14 0.011 0.154 0.053 0.229 forward+backward 920 | 19.040 14 0.009 0.154 0.053 0.229 forward+backward 921 | 19.080 14 0.011 0.154 0.053 0.229 forward+backward 922 | 19.120 14 0.011 0.154 0.053 0.229 forward+backward 923 | 19.160 14 0.011 0.154 0.053 0.229 forward+backward 924 | 19.200 14 0.011 0.154 0.053 0.229 detection 925 | 19.240 14 0.011 0.154 0.053 0.229 forward+backward 926 | 19.280 14 0.011 0.154 0.053 0.229 forward+backward 927 | 19.320 14 0.009 0.154 0.053 0.229 forward+backward 928 | 19.360 14 0.011 0.154 0.054 0.229 forward+backward 929 | 19.400 14 0.011 0.154 0.053 0.229 forward+backward 930 | 19.440 14 0.011 0.154 0.053 0.229 forward+backward 931 | 19.480 14 0.011 0.154 0.054 0.229 forward+backward 932 | 19.520 14 0.011 0.154 0.053 0.229 forward+backward 933 | 19.560 14 0.011 0.154 0.053 0.229 forward+backward 934 | 19.600 14 0.009 0.154 0.053 0.229 forward+backward 935 | 19.640 14 0.011 0.154 0.053 0.229 forward+backward 936 | 19.680 14 0.011 0.154 0.053 0.229 detection 937 | 15.800 15 0.686 0.415 0.736 0.504 backward 938 | 15.840 15 0.687 0.415 0.736 0.504 backward 939 | 15.880 15 0.687 0.415 0.736 0.504 backward 940 | 15.920 15 0.687 0.417 0.736 0.504 backward 941 | 15.960 15 0.686 0.415 0.735 0.504 backward 942 | 16.000 15 0.688 0.415 0.737 0.504 backward 943 | 16.040 15 0.686 0.415 0.736 0.504 backward 944 | 16.080 15 0.686 0.415 0.736 0.504 backward 945 | 16.120 15 0.686 0.415 0.736 0.504 backward 946 | 16.160 15 0.688 0.415 0.737 0.504 backward 947 | 16.200 15 0.686 0.415 0.736 0.504 backward 948 | 16.240 15 0.686 0.415 0.736 0.504 backward 949 | 16.280 15 0.686 0.415 0.736 0.504 backward 950 | 16.320 15 0.686 0.415 0.736 0.504 backward 951 | 16.360 15 0.686 0.415 0.736 0.504 backward 952 | 16.400 15 0.686 0.415 0.736 0.504 backward 953 | 16.440 15 0.687 0.415 0.736 0.504 backward 954 | 16.480 15 0.687 0.415 0.736 0.504 backward 955 | 16.520 15 0.687 0.415 0.736 0.504 backward 956 | 16.560 15 0.687 0.415 0.736 0.504 backward 957 | 16.600 15 0.687 0.415 0.736 0.504 backward 958 | 16.640 15 0.687 0.415 0.736 0.504 backward 959 | 16.680 15 0.687 0.417 0.736 0.504 backward 960 | 16.720 15 0.687 0.417 0.736 0.504 backward 961 | 16.760 15 0.687 0.417 0.736 0.504 backward 962 | 16.800 15 0.687 0.417 0.736 0.504 backward 963 | 16.840 15 0.687 0.417 0.736 0.504 backward 964 | 16.880 15 0.687 0.417 0.736 0.504 backward 965 | 16.920 15 0.687 0.417 0.736 0.504 backward 966 | 16.960 15 0.687 0.417 0.736 0.504 backward 967 | 17.000 15 0.687 0.417 0.736 0.504 backward 968 | 17.040 15 0.687 0.417 0.736 0.504 backward 969 | 17.080 15 0.686 0.417 0.735 0.504 backward 970 | 17.120 15 0.687 0.415 0.737 0.504 backward 971 | 17.160 15 0.686 0.412 0.737 0.504 backward 972 | 17.200 15 0.688 0.415 0.738 0.504 backward 973 | 17.240 15 0.686 0.415 0.736 0.504 backward 974 | 17.280 15 0.687 0.415 0.737 0.504 detection 975 | 17.320 15 0.687 0.412 0.737 0.504 forward+backward 976 | 17.360 15 0.686 0.412 0.736 0.504 forward+backward 977 | 17.400 15 0.686 0.412 0.737 0.504 forward+backward 978 | 17.440 15 0.685 0.412 0.736 0.504 forward+backward 979 | 17.480 15 0.685 0.412 0.736 0.506 forward+backward 980 | 17.520 15 0.683 0.412 0.735 0.504 forward+backward 981 | 17.560 15 0.685 0.415 0.735 0.504 forward+backward 982 | 17.600 15 0.683 0.415 0.734 0.504 forward+backward 983 | 17.640 15 0.683 0.415 0.732 0.504 forward+backward 984 | 17.680 15 0.682 0.415 0.731 0.504 forward+backward 985 | 17.720 15 0.681 0.415 0.731 0.504 forward+backward 986 | 17.760 15 0.681 0.415 0.731 0.504 detection 987 | 17.800 15 0.675 0.408 0.731 0.508 forward+backward 988 | 17.840 15 0.675 0.406 0.732 0.510 forward+backward 989 | 17.880 15 0.674 0.406 0.731 0.510 forward+backward 990 | 17.920 15 0.675 0.408 0.734 0.510 forward+backward 991 | 17.960 15 0.674 0.406 0.731 0.510 forward+backward 992 | 18.000 15 0.675 0.408 0.732 0.508 forward+backward 993 | 18.040 15 0.675 0.408 0.731 0.508 forward+backward 994 | 18.080 15 0.675 0.406 0.732 0.508 forward+backward 995 | 18.120 15 0.676 0.408 0.732 0.508 forward+backward 996 | 18.160 15 0.676 0.408 0.732 0.508 forward+backward 997 | 18.200 15 0.675 0.408 0.731 0.508 forward+backward 998 | 18.240 15 0.676 0.408 0.732 0.506 forward+backward 999 | 18.280 15 0.675 0.408 0.731 0.508 forward+backward 1000 | 18.320 15 0.676 0.408 0.732 0.508 forward+backward 1001 | 18.360 15 0.675 0.406 0.731 0.508 forward+backward 1002 | 18.400 15 0.675 0.408 0.731 0.508 forward+backward 1003 | 18.440 15 0.676 0.408 0.732 0.508 forward+backward 1004 | 18.480 15 0.675 0.408 0.731 0.508 forward+backward 1005 | 18.520 15 0.675 0.408 0.731 0.508 forward+backward 1006 | 18.560 15 0.675 0.408 0.731 0.508 forward+backward 1007 | 18.600 15 0.676 0.408 0.732 0.508 forward+backward 1008 | 18.640 15 0.675 0.408 0.731 0.508 forward+backward 1009 | 18.680 15 0.676 0.408 0.732 0.508 forward+backward 1010 | 18.720 15 0.676 0.408 0.732 0.508 forward+backward 1011 | 18.760 15 0.675 0.408 0.731 0.508 forward+backward 1012 | 18.800 15 0.678 0.408 0.734 0.508 forward+backward 1013 | 18.840 15 0.676 0.408 0.732 0.508 forward+backward 1014 | 18.880 15 0.679 0.408 0.734 0.508 forward+backward 1015 | 18.920 15 0.678 0.408 0.734 0.506 forward+backward 1016 | 18.960 15 0.679 0.408 0.735 0.506 forward+backward 1017 | 19.000 15 0.679 0.408 0.735 0.506 forward+backward 1018 | 19.040 15 0.681 0.408 0.736 0.506 forward+backward 1019 | 19.080 15 0.680 0.408 0.735 0.506 forward+backward 1020 | 19.120 15 0.681 0.408 0.736 0.506 forward+backward 1021 | 19.160 15 0.681 0.408 0.736 0.506 forward+backward 1022 | 19.200 15 0.676 0.402 0.737 0.510 detection 1023 | 19.240 15 0.678 0.402 0.738 0.512 forward+backward 1024 | 19.280 15 0.675 0.402 0.737 0.512 forward+backward 1025 | 19.320 15 0.676 0.402 0.738 0.512 forward+backward 1026 | 19.360 15 0.676 0.402 0.737 0.510 forward+backward 1027 | 19.400 15 0.676 0.402 0.737 0.510 forward+backward 1028 | 19.440 15 0.676 0.402 0.737 0.510 forward+backward 1029 | 19.480 15 0.676 0.402 0.736 0.508 forward+backward 1030 | 19.520 15 0.678 0.402 0.737 0.508 forward+backward 1031 | 19.560 15 0.675 0.402 0.736 0.508 forward+backward 1032 | 19.600 15 0.678 0.402 0.737 0.508 forward+backward 1033 | 19.640 15 0.676 0.402 0.736 0.508 forward+backward 1034 | 19.680 15 0.676 0.402 0.737 0.510 detection 1035 | 16.280 16 0.461 0.188 0.513 0.279 backward 1036 | 16.320 16 0.467 0.185 0.518 0.275 detection 1037 | 16.360 16 0.472 0.183 0.521 0.273 forward 1038 | 16.400 16 0.473 0.183 0.522 0.271 forward 1039 | 17.120 17 0.460 0.219 0.508 0.304 backward 1040 | 17.160 17 0.458 0.219 0.506 0.304 backward 1041 | 17.200 17 0.454 0.221 0.504 0.308 backward 1042 | 17.240 17 0.452 0.221 0.504 0.312 backward 1043 | 17.280 17 0.451 0.225 0.501 0.315 detection 1044 | 17.320 17 0.446 0.225 0.498 0.317 forward 1045 | 17.360 17 0.450 0.233 0.498 0.319 backward 1046 | 17.400 17 0.446 0.233 0.494 0.321 backward 1047 | 17.440 17 0.445 0.235 0.492 0.323 backward 1048 | 17.480 17 0.445 0.235 0.493 0.323 backward 1049 | 17.520 17 0.446 0.237 0.494 0.323 backward 1050 | 17.560 17 0.449 0.237 0.496 0.325 backward 1051 | 17.600 17 0.452 0.242 0.500 0.329 backward 1052 | 17.640 17 0.457 0.246 0.505 0.333 backward 1053 | 17.680 17 0.463 0.248 0.511 0.338 backward 1054 | 17.720 17 0.470 0.252 0.519 0.340 backward 1055 | 17.760 17 0.477 0.256 0.525 0.344 backward 1056 | 17.800 17 0.482 0.258 0.532 0.346 backward 1057 | 17.840 17 0.489 0.256 0.539 0.344 backward 1058 | 17.880 17 0.494 0.256 0.543 0.346 backward 1059 | 17.920 17 0.500 0.256 0.549 0.346 backward 1060 | 17.960 17 0.504 0.254 0.553 0.344 backward 1061 | 18.000 17 0.506 0.254 0.555 0.344 backward 1062 | 18.040 17 0.508 0.254 0.557 0.344 backward 1063 | 18.080 17 0.511 0.250 0.560 0.340 backward 1064 | 18.120 17 0.511 0.248 0.561 0.340 backward 1065 | 18.160 17 0.513 0.248 0.562 0.338 backward 1066 | 18.200 17 0.513 0.248 0.563 0.340 backward 1067 | 18.240 17 0.514 0.250 0.563 0.340 backward 1068 | 18.280 17 0.514 0.250 0.564 0.342 backward 1069 | 18.320 17 0.513 0.252 0.563 0.344 backward 1070 | 18.360 17 0.515 0.252 0.565 0.344 backward 1071 | 18.400 17 0.514 0.252 0.564 0.344 backward 1072 | 18.440 17 0.515 0.252 0.565 0.344 backward 1073 | 18.480 17 0.514 0.252 0.564 0.344 backward 1074 | 18.520 17 0.515 0.252 0.565 0.344 backward 1075 | 18.560 17 0.514 0.254 0.564 0.346 backward 1076 | 18.600 17 0.514 0.252 0.565 0.346 backward 1077 | 18.640 17 0.513 0.254 0.563 0.346 backward 1078 | 18.680 17 0.514 0.254 0.564 0.346 backward 1079 | 18.720 17 0.513 0.254 0.563 0.346 detection 1080 | 18.760 17 0.515 0.263 0.562 0.346 forward+backward 1081 | 18.800 17 0.516 0.263 0.563 0.348 forward+backward 1082 | 18.840 17 0.515 0.263 0.562 0.348 forward+backward 1083 | 18.880 17 0.515 0.263 0.563 0.348 forward+backward 1084 | 18.920 17 0.515 0.263 0.562 0.346 forward+backward 1085 | 18.960 17 0.516 0.263 0.563 0.348 forward+backward 1086 | 19.000 17 0.516 0.265 0.563 0.348 forward+backward 1087 | 19.040 17 0.518 0.263 0.564 0.348 forward+backward 1088 | 19.080 17 0.516 0.263 0.564 0.348 forward+backward 1089 | 19.120 17 0.518 0.263 0.564 0.348 forward+backward 1090 | 19.160 17 0.515 0.263 0.563 0.348 forward+backward 1091 | 19.200 17 0.520 0.271 0.562 0.346 detection 1092 | 19.240 17 0.519 0.271 0.561 0.346 forward+backward 1093 | 19.280 17 0.519 0.269 0.562 0.346 forward+backward 1094 | 19.320 17 0.519 0.271 0.561 0.346 forward+backward 1095 | 19.360 17 0.519 0.273 0.561 0.348 forward+backward 1096 | 19.400 17 0.520 0.275 0.562 0.350 forward+backward 1097 | 19.440 17 0.520 0.277 0.562 0.352 forward+backward 1098 | 19.480 17 0.521 0.279 0.563 0.352 forward+backward 1099 | 19.520 17 0.521 0.279 0.563 0.354 forward+backward 1100 | 19.560 17 0.522 0.281 0.564 0.356 forward+backward 1101 | 19.600 17 0.523 0.281 0.565 0.356 forward+backward 1102 | 19.640 17 0.526 0.287 0.567 0.362 forward+backward 1103 | 19.680 17 0.525 0.287 0.567 0.362 detection 1104 | --------------------------------------------------------------------------------