FORTH-ModelBasedTracker/MocapNET

Demo not working on Google Colab

PiotrMi opened this issue · 3 comments

Tried on a GPU runtime

Colab link:
https://colab.research.google.com/drive/19UM6NAcmEeUUbSkjlJniWSs9bc4V-c4s?usp=sharing

Command:

./MocapNET2LiveWebcamDemo --from shuffle.webm --openpose --frames 375 --delay 1000 --novisualization

Output:

CPU :  Intel(R) Xeon(R) CPU @ 2.00GHz
sh: 1: lspci: not found
GPU : 
Trying to open source (shuffle.webm) 
Using BVH codebase version 0.43
buildOpenGLProjectionForIntrinsics: img(1920x1080) fx 582.18, fy 582.53, cx 960.00, cy 540.00

Number of Values Per Frame: 498
Frames: 1(1) / Frame Time : 0.0400
BVH subsystem initialized using dataset/headerWithHeadAndOneMotion.bvh that contains 1 frames ( 498 motions each )
Initializing IK code..
Body Problem : 




The IK problem we want to solve has 2 groups of subproblems
It is also ultimately divided into 7 kinematic chains
Chain 0 has 8 parts : jID(hip/0)->mID(0 to 2) jID(hip/0)->mID(3 to 5) jID(neck/3)->EndEffector jID(head/5)->EndEffector jID(rShldr/105)->EndEffector jID(lShldr/136)->EndEffector jID(rThigh/167)->EndEffector jID(lThigh/190)->EndEffector 
Chain 1 has 4 parts : jID(chest/2)->mID(9 to 11) jID(neck/3)->EndEffector jID(rShldr/105)->EndEffector jID(lForeArm/137)->EndEffector 
Chain 2 has 5 parts : jID(neck/3)->mID(12 to 14) jID(neck1/4)->mID(15 to 17) jID(head/5)->mID(18 to 20) jID(eye.l/70)->EndEffector jID(eye.r/78)->EndEffector 
Chain 3 has 3 parts : jID(rShldr/105)->mID(237 to 239) jID(rForeArm/106)->mID(240 to 242) jID(rHand/107)->EndEffector 
Chain 4 has 3 parts : jID(lShldr/136)->mID(315 to 317) jID(lForeArm/137)->mID(318 to 320) jID(lHand/138)->EndEffector 
Chain 5 has 5 parts : jID(rThigh/167)->mID(393 to 395) jID(rShin/168)->mID(396 to 398) jID(rFoot/169)->mID(399 to 401) jID(EndSite_toe1-2.R/172)->EndEffector jID(EndSite_toe5-3.R/188)->EndEffector 
Chain 6 has 5 parts : jID(lThigh/190)->mID(447 to 449) jID(lShin/191)->mID(450 to 452) jID(lFoot/192)->mID(453 to 455) jID(EndSite_toe1-2.L/195)->EndEffector jID(EndSite_toe5-3.L/211)->EndEffector 
BVH code initalization successfull..
Trying to set thread realtime prio = 99 
Failed setting thread realtime priority
LoadGraph dataset/combinedModel/openpose_model.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/openpose_model.pb
Tensor: input_1 inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/openpose_model.pb
Tensor: k2tfout_1 inputs: 1
 outputs: 1
2020-10-15 14:35:58.222583: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2020-10-15 14:35:58.227891: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000140000 Hz
2020-10-15 14:35:58.228125: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x557bd7267f80 executing computations on platform Host. Devices:
2020-10-15 14:35:58.228159: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): <undefined>, <undefined>
2020-10-15 14:35:58.229927: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2020-10-15 14:35:58.254401: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-15 14:35:58.255191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties: 
name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
pciBusID: 0000:00:04.0
2020-10-15 14:35:58.255727: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2020-10-15 14:35:58.257197: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
2020-10-15 14:35:58.258389: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
2020-10-15 14:35:58.258814: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
2020-10-15 14:35:58.260154: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
2020-10-15 14:35:58.261347: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
2020-10-15 14:35:58.264441: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2020-10-15 14:35:58.264549: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-15 14:35:58.265225: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-15 14:35:58.265830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
2020-10-15 14:35:58.265891: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2020-10-15 14:35:58.353876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:35:58.353919: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      0 
2020-10-15 14:35:58.353933: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0:   N 
2020-10-15 14:35:58.354113: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-15 14:35:58.354554: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-15 14:35:58.354981: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-15 14:35:58.355325: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:40] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2020-10-15 14:35:58.355367: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7123 MB memory) -> physical GPU (device: 0, name: Tesla P4, pci bus id: 0000:00:04.0, compute capability: 6.1)
MocapNET2 Initializing..
Trying to set thread realtime prio = 99 
Failed setting thread realtime priority
Map will be initialized from file  
Initializing from  .. 
 artifacts ok
Loading Gesture 0 -> dataset/gestures/help.bvh  : 
Number of Values Per Frame: 498
Frames: 63(63) / Frame Time : 0.0400
Gesture dataset/gestures/help.bvh has 63 frames with 498 fields each
Joint 7/abdomen_Xrotation is going to be used for gesture #0
Joint 8/abdomen_Yrotation is going to be used for gesture #0
Joint 12/neck_Zrotation is going to be used for gesture #0
Joint 13/neck_Xrotation is going to be used for gesture #0
Joint 14/neck_Yrotation is going to be used for gesture #0
Joint 15/neck1_Zrotation is going to be used for gesture #0
Joint 16/neck1_Xrotation is going to be used for gesture #0
Joint 17/neck1_Yrotation is going to be used for gesture #0
Joint 18/head_Zrotation is going to be used for gesture #0
Joint 19/head_Xrotation is going to be used for gesture #0
Joint 20/head_Yrotation is going to be used for gesture #0
Joint 21/__jaw_Zrotation is going to be used for gesture #0
Joint 22/__jaw_Xrotation is going to be used for gesture #0
Joint 24/jaw_Zrotation is going to be used for gesture #0
Joint 25/jaw_Xrotation is going to be used for gesture #0
Joint 26/jaw_Yrotation is going to be used for gesture #0
Joint 27/special04_Zrotation is going to be used for gesture #0
Joint 28/special04_Xrotation is going to be used for gesture #0
Joint 29/special04_Yrotation is going to be used for gesture #0
Joint 30/oris02_Zrotation is going to be used for gesture #0
Joint 31/oris02_Xrotation is going to be used for gesture #0
Joint 32/oris02_Yrotation is going to be used for gesture #0
Joint 33/oris01_Zrotation is going to be used for gesture #0
Joint 34/oris01_Xrotation is going to be used for gesture #0
Joint 35/oris01_Yrotation is going to be used for gesture #0
Joint 36/oris06.l_Zrotation is going to be used for gesture #0
Joint 37/oris06.l_Xrotation is going to be used for gesture #0
Joint 38/oris06.l_Yrotation is going to be used for gesture #0
Joint 40/oris07.l_Xrotation is going to be used for gesture #0
Joint 41/oris07.l_Yrotation is going to be used for gesture #0
Joint 44/oris06.r_Yrotation is going to be used for gesture #0
Joint 45/oris07.r_Zrotation is going to be used for gesture #0
Joint 46/oris07.r_Xrotation is going to be used for gesture #0
Joint 47/oris07.r_Yrotation is going to be used for gesture #0
Joint 48/tongue00_Zrotation is going to be used for gesture #0
Joint 49/tongue00_Xrotation is going to be used for gesture #0
Joint 50/tongue00_Yrotation is going to be used for gesture #0
Joint 51/tongue01_Zrotation is going to be used for gesture #0
Joint 52/tongue01_Xrotation is going to be used for gesture #0
Joint 54/tongue02_Zrotation is going to be used for gesture #0
Joint 55/tongue02_Xrotation is going to be used for gesture #0
Joint 56/tongue02_Yrotation is going to be used for gesture #0
Joint 57/tongue03_Zrotation is going to be used for gesture #0
Joint 58/tongue03_Xrotation is going to be used for gesture #0
Joint 59/tongue03_Yrotation is going to be used for gesture #0
Joint 60/__tongue04_Zrotation is going to be used for gesture #0
Joint 61/__tongue04_Xrotation is going to be used for gesture #0
Joint 62/__tongue04_Yrotation is going to be used for gesture #0
Joint 63/tongue04_Zrotation is going to be used for gesture #0
Joint 64/tongue04_Xrotation is going to be used for gesture #0
Joint 65/tongue04_Yrotation is going to be used for gesture #0
Joint 66/tongue07.l_Zrotation is going to be used for gesture #0
Joint 67/tongue07.l_Xrotation is going to be used for gesture #0
Joint 68/tongue07.l_Yrotation is going to be used for gesture #0
Joint 70/tongue07.r_Xrotation is going to be used for gesture #0
Joint 71/tongue07.r_Yrotation is going to be used for gesture #0
Joint 74/tongue06.l_Yrotation is going to be used for gesture #0
Joint 75/tongue06.r_Zrotation is going to be used for gesture #0
Joint 76/tongue06.r_Xrotation is going to be used for gesture #0
Joint 77/tongue06.r_Yrotation is going to be used for gesture #0
Joint 78/tongue05.l_Zrotation is going to be used for gesture #0
Joint 79/tongue05.l_Xrotation is going to be used for gesture #0
Joint 80/tongue05.l_Yrotation is going to be used for gesture #0
Joint 81/tongue05.r_Zrotation is going to be used for gesture #0
Joint 82/tongue05.r_Xrotation is going to be used for gesture #0
Joint 84/__levator02.l_Zrotation is going to be used for gesture #0
Joint 85/__levator02.l_Xrotation is going to be used for gesture #0
Joint 86/__levator02.l_Yrotation is going to be used for gesture #0
Joint 88/levator02.l_Xrotation is going to be used for gesture #0
Joint 91/levator03.l_Xrotation is going to be used for gesture #0
Joint 93/levator04.l_Zrotation is going to be used for gesture #0
Joint 94/levator04.l_Xrotation is going to be used for gesture #0
Joint 95/levator04.l_Yrotation is going to be used for gesture #0
Joint 96/levator05.l_Zrotation is going to be used for gesture #0
Joint 97/levator05.l_Xrotation is going to be used for gesture #0
Joint 98/levator05.l_Yrotation is going to be used for gesture #0
Joint 100/__levator02.r_Xrotation is going to be used for gesture #0
Joint 101/__levator02.r_Yrotation is going to be used for gesture #0
Joint 104/levator02.r_Yrotation is going to be used for gesture #0
Joint 105/levator03.r_Zrotation is going to be used for gesture #0
Joint 106/levator03.r_Xrotation is going to be used for gesture #0
Joint 107/levator03.r_Yrotation is going to be used for gesture #0
Joint 108/levator04.r_Zrotation is going to be used for gesture #0
Joint 109/levator04.r_Xrotation is going to be used for gesture #0
Joint 110/levator04.r_Yrotation is going to be used for gesture #0
Joint 111/levator05.r_Zrotation is going to be used for gesture #0
Joint 112/levator05.r_Xrotation is going to be used for gesture #0
Joint 113/levator05.r_Yrotation is going to be used for gesture #0
Joint 114/__special01_Zrotation is going to be used for gesture #0
Joint 115/__special01_Xrotation is going to be used for gesture #0
Joint 116/__special01_Yrotation is going to be used for gesture #0
Joint 118/special01_Xrotation is going to be used for gesture #0
Joint 121/oris04.l_Xrotation is going to be used for gesture #0
Joint 123/oris03.l_Zrotation is going to be used for gesture #0
Joint 124/oris03.l_Xrotation is going to be used for gesture #0
Joint 125/oris03.l_Yrotation is going to be used for gesture #0
Joint 126/oris04.r_Zrotation is going to be used for gesture #0
Joint 127/oris04.r_Xrotation is going to be used for gesture #0
Joint 128/oris04.r_Yrotation is going to be used for gesture #0
Joint 130/oris03.r_Xrotation is going to be used for gesture #0
Joint 131/oris03.r_Yrotation is going to be used for gesture #0
Joint 134/oris06_Yrotation is going to be used for gesture #0
Joint 135/oris05_Zrotation is going to be used for gesture #0
Joint 136/oris05_Xrotation is going to be used for gesture #0
Joint 137/oris05_Yrotation is going to be used for gesture #0
Joint 138/__special03_Zrotation is going to be used for gesture #0
Joint 139/__special03_Xrotation is going to be used for gesture #0
Joint 140/__special03_Yrotation is going to be used for gesture #0
Joint 141/special03_Zrotation is going to be used for gesture #0
Joint 142/special03_Xrotation is going to be used for gesture #0
Joint 143/special03_Yrotation is going to be used for gesture #0
Joint 144/__levator06.l_Zrotation is going to be used for gesture #0
Joint 145/__levator06.l_Xrotation is going to be used for gesture #0
Joint 146/__levator06.l_Yrotation is going to be used for gesture #0
Joint 148/levator06.l_Xrotation is going to be used for gesture #0
Joint 150/__levator06.r_Zrotation is going to be used for gesture #0
Joint 151/__levator06.r_Xrotation is going to be used for gesture #0
Joint 152/__levator06.r_Yrotation is going to be used for gesture #0
Joint 153/levator06.r_Zrotation is going to be used for gesture #0
Joint 154/levator06.r_Xrotation is going to be used for gesture #0
Joint 155/levator06.r_Yrotation is going to be used for gesture #0
Joint 156/special06.l_Zrotation is going to be used for gesture #0
Joint 157/special06.l_Xrotation is going to be used for gesture #0
Joint 158/special06.l_Yrotation is going to be used for gesture #0
Joint 160/special05.l_Xrotation is going to be used for gesture #0
Joint 161/special05.l_Yrotation is going to be used for gesture #0
Joint 164/eye.l_Yrotation is going to be used for gesture #0
Joint 169/orbicularis04.l_Xrotation is going to be used for gesture #0
Joint 170/orbicularis04.l_Yrotation is going to be used for gesture #0
Joint 171/special06.r_Zrotation is going to be used for gesture #0
Joint 172/special06.r_Xrotation is going to be used for gesture #0
Joint 173/special06.r_Yrotation is going to be used for gesture #0
Joint 174/special05.r_Zrotation is going to be used for gesture #0
Joint 175/special05.r_Xrotation is going to be used for gesture #0
Joint 176/special05.r_Yrotation is going to be used for gesture #0
Joint 178/eye.r_Xrotation is going to be used for gesture #0
Joint 180/orbicularis03.r_Zrotation is going to be used for gesture #0
Joint 181/orbicularis03.r_Xrotation is going to be used for gesture #0
Joint 182/orbicularis03.r_Yrotation is going to be used for gesture #0
Joint 183/orbicularis04.r_Zrotation is going to be used for gesture #0
Joint 184/orbicularis04.r_Xrotation is going to be used for gesture #0
Joint 185/orbicularis04.r_Yrotation is going to be used for gesture #0
Joint 186/__temporalis01.l_Zrotation is going to be used for gesture #0
Joint 187/__temporalis01.l_Xrotation is going to be used for gesture #0
Joint 188/__temporalis01.l_Yrotation is going to be used for gesture #0
Joint 189/temporalis01.l_Zrotation is going to be used for gesture #0
Joint 190/temporalis01.l_Xrotation is going to be used for gesture #0
Joint 191/temporalis01.l_Yrotation is going to be used for gesture #0
Joint 193/oculi02.l_Xrotation is going to be used for gesture #0
Joint 196/oculi01.l_Xrotation is going to be used for gesture #0
Joint 197/oculi01.l_Yrotation is going to be used for gesture #0
Joint 200/__temporalis01.r_Yrotation is going to be used for gesture #0
Joint 201/temporalis01.r_Zrotation is going to be used for gesture #0
Joint 202/temporalis01.r_Xrotation is going to be used for gesture #0
Joint 203/temporalis01.r_Yrotation is going to be used for gesture #0
Joint 204/oculi02.r_Zrotation is going to be used for gesture #0
Joint 205/oculi02.r_Xrotation is going to be used for gesture #0
Joint 206/oculi02.r_Yrotation is going to be used for gesture #0
Joint 207/oculi01.r_Zrotation is going to be used for gesture #0
Joint 208/oculi01.r_Xrotation is going to be used for gesture #0
Joint 210/__temporalis02.l_Zrotation is going to be used for gesture #0
Joint 211/__temporalis02.l_Xrotation is going to be used for gesture #0
Joint 212/__temporalis02.l_Yrotation is going to be used for gesture #0
Joint 213/temporalis02.l_Zrotation is going to be used for gesture #0
Joint 214/temporalis02.l_Xrotation is going to be used for gesture #0
Joint 215/temporalis02.l_Yrotation is going to be used for gesture #0
Joint 216/risorius02.l_Zrotation is going to be used for gesture #0
Joint 217/risorius02.l_Xrotation is going to be used for gesture #0
Joint 218/risorius02.l_Yrotation is going to be used for gesture #0
Joint 219/risorius03.l_Zrotation is going to be used for gesture #0
Joint 220/risorius03.l_Xrotation is going to be used for gesture #0
Joint 221/risorius03.l_Yrotation is going to be used for gesture #0
Joint 222/__temporalis02.r_Zrotation is going to be used for gesture #0
Joint 223/__temporalis02.r_Xrotation is going to be used for gesture #0
Joint 224/__temporalis02.r_Yrotation is going to be used for gesture #0
Joint 225/temporalis02.r_Zrotation is going to be used for gesture #0
Joint 226/temporalis02.r_Xrotation is going to be used for gesture #0
Joint 227/temporalis02.r_Yrotation is going to be used for gesture #0
Joint 230/risorius02.r_Yrotation is going to be used for gesture #0
Joint 231/risorius03.r_Zrotation is going to be used for gesture #0
Joint 232/risorius03.r_Xrotation is going to be used for gesture #0
Joint 233/risorius03.r_Yrotation is going to be used for gesture #0
Joint 234/rcollar_Zrotation is going to be used for gesture #0
Joint 235/rcollar_Xrotation is going to be used for gesture #0
Joint 236/rcollar_Yrotation is going to be used for gesture #0
Joint 237/rshoulder_Zrotation is going to be used for gesture #0
Joint 238/rshoulder_Xrotation is going to be used for gesture #0
Joint 239/rshoulder_Yrotation is going to be used for gesture #0
Joint 240/relbow_Zrotation is going to be used for gesture #0
Joint 241/relbow_Xrotation is going to be used for gesture #0
Joint 242/relbow_Yrotation is going to be used for gesture #0
Joint 243/rhand_Zrotation is going to be used for gesture #0
Joint 244/rhand_Xrotation is going to be used for gesture #0
Joint 245/rhand_Yrotation is going to be used for gesture #0
Joint 313/lcollar_Xrotation is going to be used for gesture #0
Joint 315/lshoulder_Zrotation is going to be used for gesture #0
Joint 316/lshoulder_Xrotation is going to be used for gesture #0
Joint 317/lshoulder_Yrotation is going to be used for gesture #0
Joint 318/lelbow_Zrotation is going to be used for gesture #0
Joint 319/lelbow_Xrotation is going to be used for gesture #0
Joint 320/lelbow_Yrotation is going to be used for gesture #0
Joint 322/lhand_Xrotation is going to be used for gesture #0
Joint 323/lhand_Yrotation is going to be used for gesture #0
Joint 392/rbuttock_Yrotation is going to be used for gesture #0
Joint 393/rhip_Zrotation is going to be used for gesture #0
Joint 394/rhip_Xrotation is going to be used for gesture #0
Joint 395/rhip_Yrotation is going to be used for gesture #0
Joint 396/rknee_Zrotation is going to be used for gesture #0
Joint 397/rknee_Xrotation is going to be used for gesture #0
Joint 398/rknee_Yrotation is going to be used for gesture #0
Joint 399/rfoot_Zrotation is going to be used for gesture #0
Joint 400/rfoot_Xrotation is going to be used for gesture #0
Joint 401/rfoot_Yrotation is going to be used for gesture #0
Joint 444/lbuttock_Zrotation is going to be used for gesture #0
Joint 445/lbuttock_Xrotation is going to be used for gesture #0
Joint 446/lbuttock_Yrotation is going to be used for gesture #0
Joint 448/lhip_Xrotation is going to be used for gesture #0
Joint 450/lknee_Zrotation is going to be used for gesture #0
Joint 451/lknee_Xrotation is going to be used for gesture #0
Joint 452/lknee_Yrotation is going to be used for gesture #0
Joint 453/lfoot_Zrotation is going to be used for gesture #0
Joint 454/lfoot_Xrotation is going to be used for gesture #0
Joint 455/lfoot_Yrotation is going to be used for gesture #0
Success , loaded 63 frames
Loading Gesture 1 -> dataset/gestures/push.bvh  : 
Number of Values Per Frame: 498
Frames: 46(46) / Frame Time : 0.0400
Gesture dataset/gestures/push.bvh has 46 frames with 498 fields each
Joint 237/rshoulder_Zrotation is going to be used for gesture #1
Joint 238/rshoulder_Xrotation is going to be used for gesture #1
Joint 239/rshoulder_Yrotation is going to be used for gesture #1
Joint 240/relbow_Zrotation is going to be used for gesture #1
Joint 241/relbow_Xrotation is going to be used for gesture #1
Joint 242/relbow_Yrotation is going to be used for gesture #1
Joint 315/lshoulder_Zrotation is going to be used for gesture #1
Joint 316/lshoulder_Xrotation is going to be used for gesture #1
Joint 317/lshoulder_Yrotation is going to be used for gesture #1
Joint 318/lelbow_Zrotation is going to be used for gesture #1
Joint 319/lelbow_Xrotation is going to be used for gesture #1
Joint 320/lelbow_Yrotation is going to be used for gesture #1
Success , loaded 46 frames
Loading Gesture 2 -> dataset/gestures/lefthandcircle.bvh  : 
Number of Values Per Frame: 498
Frames: 29(29) / Frame Time : 0.0400
Gesture dataset/gestures/lefthandcircle.bvh has 29 frames with 498 fields each
Joint 315/lshoulder_Zrotation is going to be used for gesture #2
Joint 316/lshoulder_Xrotation is going to be used for gesture #2
Joint 317/lshoulder_Yrotation is going to be used for gesture #2
Joint 318/lelbow_Zrotation is going to be used for gesture #2
Joint 319/lelbow_Xrotation is going to be used for gesture #2
Joint 320/lelbow_Yrotation is going to be used for gesture #2
Success , loaded 29 frames
Loading Gesture 3 -> dataset/gestures/righthandcircle.bvh  : 
Number of Values Per Frame: 498
Frames: 40(40) / Frame Time : 0.0400
Gesture dataset/gestures/righthandcircle.bvh has 40 frames with 498 fields each
Joint 237/rshoulder_Zrotation is going to be used for gesture #3
Joint 238/rshoulder_Xrotation is going to be used for gesture #3
Joint 239/rshoulder_Yrotation is going to be used for gesture #3
Joint 240/relbow_Zrotation is going to be used for gesture #3
Joint 241/relbow_Xrotation is going to be used for gesture #3
Joint 242/relbow_Yrotation is going to be used for gesture #3
Success , loaded 40 frames
Loading Gesture 4 -> dataset/gestures/waveleft.bvh  : 
Number of Values Per Frame: 498
Frames: 27(27) / Frame Time : 0.0400
Gesture dataset/gestures/waveleft.bvh has 27 frames with 498 fields each
Joint 316/lshoulder_Xrotation is going to be used for gesture #4
Joint 317/lshoulder_Yrotation is going to be used for gesture #4
Joint 319/lelbow_Xrotation is going to be used for gesture #4
Joint 320/lelbow_Yrotation is going to be used for gesture #4
Success , loaded 27 frames
Loading Gesture 5 -> dataset/gestures/doubleclap.bvh  : 
Number of Values Per Frame: 498
Frames: 22(22) / Frame Time : 0.0400
Gesture dataset/gestures/doubleclap.bvh has 22 frames with 498 fields each
Joint 238/rshoulder_Xrotation is going to be used for gesture #5
Joint 239/rshoulder_Yrotation is going to be used for gesture #5
Joint 241/relbow_Xrotation is going to be used for gesture #5
Joint 242/relbow_Yrotation is going to be used for gesture #5
Joint 316/lshoulder_Xrotation is going to be used for gesture #5
Joint 317/lshoulder_Yrotation is going to be used for gesture #5
Joint 319/lelbow_Xrotation is going to be used for gesture #5
Joint 320/lelbow_Yrotation is going to be used for gesture #5
Success , loaded 22 frames
Loading Gesture 6 -> dataset/gestures/waveright.bvh  : 
Number of Values Per Frame: 498
Frames: 19(19) / Frame Time : 0.0400
Gesture dataset/gestures/waveright.bvh has 19 frames with 498 fields each
Joint 238/rshoulder_Xrotation is going to be used for gesture #6
Joint 239/rshoulder_Yrotation is going to be used for gesture #6
Joint 241/relbow_Xrotation is going to be used for gesture #6
Joint 242/relbow_Yrotation is going to be used for gesture #6
Success , loaded 19 frames
Loading Gesture 7 -> dataset/gestures/leftkick.bvh  : 
Number of Values Per Frame: 498
Frames: 25(25) / Frame Time : 0.0400
Gesture dataset/gestures/leftkick.bvh has 25 frames with 498 fields each
Joint 447/lhip_Zrotation is going to be used for gesture #7
Joint 448/lhip_Xrotation is going to be used for gesture #7
Joint 449/lhip_Yrotation is going to be used for gesture #7
Joint 450/lknee_Zrotation is going to be used for gesture #7
Joint 451/lknee_Xrotation is going to be used for gesture #7
Joint 452/lknee_Yrotation is going to be used for gesture #7
Success , loaded 25 frames
Loading Gesture 8 -> dataset/gestures/rightkick.bvh  : 
Number of Values Per Frame: 498
Frames: 26(26) / Frame Time : 0.0400
Gesture dataset/gestures/rightkick.bvh has 26 frames with 498 fields each
Joint 393/rhip_Zrotation is going to be used for gesture #8
Joint 394/rhip_Xrotation is going to be used for gesture #8
Joint 395/rhip_Yrotation is going to be used for gesture #8
Joint 396/rknee_Zrotation is going to be used for gesture #8
Joint 397/rknee_Xrotation is going to be used for gesture #8
Joint 398/rknee_Yrotation is going to be used for gesture #8
Success , loaded 26 frames
Loading Gesture 9 -> dataset/gestures/tpose.bvh  : 
Number of Values Per Frame: 498
Frames: 61(61) / Frame Time : 0.0400
Gesture dataset/gestures/tpose.bvh has 61 frames with 498 fields each
Joint 238/rshoulder_Xrotation is going to be used for gesture #9
Joint 239/rshoulder_Yrotation is going to be used for gesture #9
Joint 315/lshoulder_Zrotation is going to be used for gesture #9
Joint 316/lshoulder_Xrotation is going to be used for gesture #9
Joint 319/lelbow_Xrotation is going to be used for gesture #9
Joint 320/lelbow_Yrotation is going to be used for gesture #9
Success , loaded 61 frames
Loading Pose 0 -> dataset/poses/neutral.bvh  : Pose 0 -> dataset/poses/neutral.bvh  is corrupted
Failure
Loading Pose 1 -> dataset/poses/tpose.bvh  : Pose 1 -> dataset/poses/tpose.bvh  is corrupted
Failure
Loading Pose 2 -> dataset/poses/x.bvh  : Pose 2 -> dataset/poses/x.bvh  is corrupted
Failure
Loading Pose 3 -> dataset/poses/handsup.bvh  : Pose 3 -> dataset/poses/handsup.bvh  is corrupted
Failure
Loading Pose 4 -> dataset/poses/leftwave.bvh  : Pose 4 -> dataset/poses/leftwave.bvh  is corrupted
Failure
Loading Pose 5 -> dataset/poses/rightright.bvh  : Pose 5 -> dataset/poses/rightright.bvh  is corrupted
Failure
Loading Pose 6 -> dataset/poses/leftleft.bvh  : Pose 6 -> dataset/poses/leftleft.bvh  is corrupted
Failure
Loading Pose 7 -> dataset/poses/push.bvh  : Pose 7 -> dataset/poses/push.bvh  is corrupted
Failure
Loading Pose 8 -> dataset/poses/rightwave.bvh  : Pose 8 -> dataset/poses/rightwave.bvh  is corrupted
Failure
Failed to read recognized Poses
This is not fatal, but poses/gestures will be deactivated..
Initializing output filters : .......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/categorize_upperbody_all.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/categorize_upperbody_all.pb
Tensor: input_all inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/categorize_upperbody_all.pb
Tensor: result_all/concat inputs: 3
 outputs: 1
2020-10-15 14:35:58.396721: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:35:58.396768: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_front.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_front.pb
Tensor: input_front inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_front.pb
Tensor: result_front/concat inputs: 43
 outputs: 1
2020-10-15 14:35:58.479954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:35:58.479988: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_back.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_back.pb
Tensor: input_back inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_back.pb
Tensor: result_back/concat inputs: 43
 outputs: 1
2020-10-15 14:35:58.556299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:35:58.556343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_left.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_left.pb
Tensor: input_left inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_left.pb
Tensor: result_left/concat inputs: 43
 outputs: 1
2020-10-15 14:35:58.631395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:35:58.631439: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_right.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_right.pb
Tensor: input_right inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_right.pb
Tensor: result_right/concat inputs: 43
 outputs: 1
2020-10-15 14:35:58.709670: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:35:58.709707: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
Caching networks after initialization to be ready for use..
2020-10-15 14:35:58.750881: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set.  If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU.  To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
Caching model 0 (dataset/combinedModel/mocapnet2/mode5/1.0/categorize_upperbody_all.pb) was successful
Caching model 1 (dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_front.pb) was successful
Caching model 2 (dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_back.pb) was successful
Caching model 3 (dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_left.pb) was successful
Caching model 4 (dataset/combinedModel/mocapnet2/mode5/1.0/upperbody_right.pb) was successful
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/categorize_lowerbody_all.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/categorize_lowerbody_all.pb
Tensor: input_all inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/categorize_lowerbody_all.pb
Tensor: result_all/concat inputs: 3
 outputs: 1
2020-10-15 14:36:03.779817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:36:03.779861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_front.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_front.pb
Tensor: input_front inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_front.pb
Tensor: result_front/concat inputs: 46
 outputs: 1
2020-10-15 14:36:03.857417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:36:03.857466: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_back.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_back.pb
Tensor: input_back inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_back.pb
Tensor: result_back/concat inputs: 46
 outputs: 1
2020-10-15 14:36:03.933404: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:36:03.933455: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_left.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_left.pb
Tensor: input_left inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_left.pb
Tensor: result_left/concat inputs: 46
 outputs: 1
2020-10-15 14:36:03.994146: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:36:03.994192: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
LoadGraph dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_right.pb using TensorFlow Version: 1.14.0
 Input Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_right.pb
Tensor: input_right inputs: 0
 outputs: 1
 Output Tensor for dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_right.pb
Tensor: result_right/concat inputs: 46
 outputs: 1
2020-10-15 14:36:04.061722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-10-15 14:36:04.061785: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      
Caching networks after initialization to be ready for use..
Caching model 0 (dataset/combinedModel/mocapnet2/mode5/1.0/categorize_lowerbody_all.pb) was successful
Caching model 1 (dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_front.pb) was successful
Caching model 2 (dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_back.pb) was successful
Caching model 3 (dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_left.pb) was successful
Caching model 4 (dataset/combinedModel/mocapnet2/mode5/1.0/lowerbody_right.pb) was successful
Unable to init server: Could not connect: Connection refused

(3D Points Output:2846): Gtk-WARNING **: 14:36:07.879: cannot open display: 

Hello,
You are right, the new version no longer had a "headless mode" during the transition from MocapNET 1
I am adding it back in..!

Please git pull / recompile and test again, it should work now..!

Thanks a lot, it works!