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Do not occur a window that visualizes detected obstacles after running 'python3 pylot.py --flagfile=configs/detection.conf' #303

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grefffin opened this issue Nov 21, 2024 · 0 comments

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@grefffin
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this is my simulator output log:

2024-11-21 23:13:20.256917: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
I1121 23:13:24.441159 139883098448512 component_creator.py:78] Using obstacle detector...
I1121 23:13:24.443093 139883098448512 component_creator.py:84] Adding obstacle location finder...
I1121 23:13:24.444396 139883098448512 component_creator.py:215] Using ground traffic lights from the simulator...
I1121 23:13:24.444540 139883098448512 component_creator.py:507] Not using prediction...
I1121 23:13:24.444617 139883098448512 component_creator.py:537] Using behavior planning...
I1121 23:13:24.450259 139883098448512 component_creator.py:541] Using planning...
I1121 23:13:24.457427 139883098448512 component_creator.py:578] Using the manual control/autopilot...
I1121 23:13:24.457526 139883098448512 component_creator.py:588] Synchronizing ticking using the waypoints stream
2024-11-21 23:13:24.707041: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1
2024-11-21 23:13:24.733095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:24.733151: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:24.737198: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11
2024-11-21 23:13:24.737279: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11
2024-11-21 23:13:24.738594: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10
2024-11-21 23:13:24.738937: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10
2024-11-21 23:13:24.739623: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.11
2024-11-21 23:13:24.740776: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11
2024-11-21 23:13:24.740997: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
2024-11-21 23:13:24.741821: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:27.801061: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-21 23:13:27.807700: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:27.808350: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:27.808399: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:28.436196: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2024-11-21 23:13:28.436227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0
2024-11-21 23:13:28.436235: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N
2024-11-21 23:13:28.438654: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 17407 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3080, pci bus id: 0000:65:00.0, compute capability: 8.6)
2024-11-21 23:13:28.500828: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)
2024-11-21 23:13:28.517676: I tensorflow/core/platform/profile_utils/cpu_utils.cc:114] CPU Frequency: 2000000000 Hz
2024-11-21 23:13:32.716880: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
WARNING: Assuming that installed CARLA 784d9b9f API is compatible with CARLA 0.9.10 API
2024-11-21 23:13:33.599424: I tensorflow/stream_executor/cuda/cuda_dnn.cc:359] Loaded cuDNN version 8200
2024-11-21 23:13:35.176196: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11
2024-11-21 23:13:35.811279: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11
2024-11-21 23:13:36.508099: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
WARNING: Assuming that installed CARLA 784d9b9f API is compatible with CARLA 0.9.10 API
I1121 23:13:39.161060 139871775614720 geos.py:32] Trying CDLL(libgeos_c.so.1)
I1121 23:13:39.163251 139871775614720 geos.py:49] Library path: 'libgeos_c.so.1'
I1121 23:13:39.163417 139871775614720 geos.py:50] DLL: <CDLL 'libgeos_c.so.1', handle 7f3860252d10 at 0x7f38fd3ec5e0>
I1121 23:13:39.181294 139871775614720 geos.py:32] Trying CDLL(libc.so.6)
I1121 23:13:39.181679 139871775614720 geos.py:49] Library path: 'libc.so.6'
I1121 23:13:39.181750 139871775614720 geos.py:50] DLL: <CDLL 'libc.so.6', handle 7f39129d64e0 at 0x7f38fd3ec970>
I1121 23:13:39.223860 139871767222016 geos.py:32] Trying CDLL(libgeos_c.so.1)
I1121 23:13:39.225951 139871767222016 geos.py:49] Library path: 'libgeos_c.so.1'
I1121 23:13:39.226068 139871767222016 geos.py:50] DLL: <CDLL 'libgeos_c.so.1', handle 7f3868410370 at 0x7f38ffeee910>
I1121 23:13:39.240113 139871767222016 geos.py:32] Trying CDLL(libc.so.6)
I1121 23:13:39.240453 139871767222016 geos.py:49] Library path: 'libc.so.6'
I1121 23:13:39.240524 139871767222016 geos.py:50] DLL: <CDLL 'libc.so.6', handle 7f39129d64e0 at 0x7f38ffeeeca0>
WARNING: Assuming that installed CARLA 784d9b9f API is compatible with CARLA 0.9.10 API
WARNING: Assuming that installed CARLA 784d9b9f API is compatible with CARLA 0.9.10 API
2024-11-21 23:13:47.714864: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1
2024-11-21 23:13:47.748681: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:47.748764: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:47.757305: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11
2024-11-21 23:13:47.757442: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11
2024-11-21 23:13:47.760249: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10
2024-11-21 23:13:47.760930: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10
2024-11-21 23:13:47.762406: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.11
2024-11-21 23:13:47.764846: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11
2024-11-21 23:13:47.765246: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
2024-11-21 23:13:47.767291: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:47.768854: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-21 23:13:47.780903: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:47.782127: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:47.782190: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:48.537746: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2024-11-21 23:13:48.537781: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0
2024-11-21 23:13:48.537792: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N
2024-11-21 23:13:48.539052: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11099 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3080, pci bus id: 0000:65:00.0, compute capability: 8.6)
2024-11-21 23:13:48.557852: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1
2024-11-21 23:13:48.558610: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1
2024-11-21 23:13:48.617055: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:48.617133: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:48.623915: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11
2024-11-21 23:13:48.624044: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11
2024-11-21 23:13:48.626311: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10
2024-11-21 23:13:48.626947: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10
2024-11-21 23:13:48.627633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:48.627670: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:48.628145: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.11
2024-11-21 23:13:48.630033: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11
2024-11-21 23:13:48.630444: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
2024-11-21 23:13:48.631503: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11
2024-11-21 23:13:48.631572: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11
2024-11-21 23:13:48.632122: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:48.632806: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10
2024-11-21 23:13:48.633116: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10
2024-11-21 23:13:48.633398: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-21 23:13:48.633757: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.11
2024-11-21 23:13:48.634835: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11
2024-11-21 23:13:48.635030: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
2024-11-21 23:13:48.635859: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:48.636654: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-21 23:13:48.643796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:48.644453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:48.644487: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:48.644936: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:65:00.0 name: NVIDIA GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.71GHz coreCount: 68 deviceMemorySize: 19.71GiB deviceMemoryBandwidth: 707.88GiB/s
2024-11-21 23:13:48.645690: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2024-11-21 23:13:48.645735: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2024-11-21 23:13:49.389304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2024-11-21 23:13:49.389339: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0
2024-11-21 23:13:49.389348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N
2024-11-21 23:13:49.390830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10368 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3080, pci bus id: 0000:65:00.0, compute capability: 8.6)
2024-11-21 23:13:49.399076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2024-11-21 23:13:49.399105: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0
2024-11-21 23:13:49.399112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N
2024-11-21 23:13:49.400379: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10366 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3080, pci bus id: 0000:65:00.0, compute capability: 8.6)

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